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  • MT-CO3
CANCER COLORECTAL CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
COAD TCGA COAD VALIDATION READ TCGA READ VALIDATION PROTEIN COAD CPTAC PROTEIN EXPRESSION
ANTIBODIES
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Dictionary
Colorectal cancer
Human cancer
Colon adenocarcinoma
Rectum adenocarcinoma
COLON ADENOCARCINOMA (TCGA) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

MT-CO3 is not prognostic in Colon Adenocarcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 20998.2
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 15354.5
Number of samples 254
Samples
Sample Description pTPM
TCGA-DM-A1D4-01A 80 years, male, white, stage:Stage IIA, dead, 2821 days 59837.5
TCGA-4N-A93T-01A 67 years, male, black or african american, stage:Stage IIIB, alive, 146 days 48177.8
TCGA-G4-6323-01A 50 years, male, black or african american, stage:Stage IA, alive, 419 days 43809.1
TCGA-A6-A5ZU-01A 59 years, male, black or african american, stage:Stage IIIB, alive, 293 days 41702.3
TCGA-NH-A8F8-01A 79 years, male, black or african american, stage:Stage IV, dead, 511 days 40277.2
TCGA-4T-AA8H-01A 42 years, female, black or african american, stage:Stage IIA, alive, 385 days 37722.9
TCGA-DM-A282-01A 60 years, female, white, stage:Stage IIA, alive, 4233 days 33760.6
TCGA-NH-A6GC-01A 66 years, female, black or african american, stage:Stage IVB, alive, 389 days 33691.4
TCGA-A6-A566-01A 55 years, female, black or african american, stage:Stage IIIB, dead, 758 days 31818.1
TCGA-QG-A5Z1-01A 71 years, male, black or african american, stage:Stage IIIB, dead, 256 days 31800.8
TCGA-DM-A0XD-01A 65 years, male, white, stage:Stage IIA, dead, 743 days 31179.0
TCGA-NH-A50T-01A 68 years, female, black or african american, stage:Stage IIA, alive, 553 days 30009.8
TCGA-DM-A28G-01A 75 years, male, white, stage:Stage IIA, dead, 1849 days 29254.9
TCGA-A6-A56B-01A 57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days 28507.1
TCGA-CM-4751-01A 62 years, male, white, stage:Stage IIIB, alive, 822 days 28433.4
TCGA-AY-A54L-01A 74 years, female, black or african american, stage:Stage I, alive, 525 days 28338.3
TCGA-DM-A1D8-01A 50 years, female, white, stage:'--, dead, 383 days 28182.0
TCGA-AA-A02K-01A 50 years, male, stage:Stage IV, dead, 426 days 28139.2
TCGA-QL-A97D-01A 84 years, female, black or african american, stage:Stage I, alive, 666 days 27953.1
TCGA-DM-A28M-01A 63 years, male, white, stage:Stage IIA, alive, 2895 days 27615.1
TCGA-NH-A50V-01A 69 years, male, black or african american, stage:Stage IIIB, alive, 588 days 27404.8
TCGA-5M-AATE-01A 76 years, male, black or african american, stage:Stage IIA, alive, 1200 days 27037.1
TCGA-T9-A92H-01A 82 years, male, black or african american, stage:Stage IIA, alive, 362 days 26934.6
TCGA-A6-A565-01A 34 years, female, black or african american, stage:Stage IIIC, dead, 494 days 26905.5
TCGA-A6-6782-01A 82 years, male, white, stage:Stage IIB, alive, 617 days 26843.9
TCGA-DM-A1D0-01A 79 years, female, white, stage:Stage IIA, alive, 3974 days 26620.5
TCGA-AY-A69D-01A 55 years, female, black or african american, stage:Stage IIA, alive, 543 days 26465.7
TCGA-DM-A1DA-01A 71 years, female, white, stage:Stage IIIC, dead, 228 days 26200.2
TCGA-DM-A280-01A 70 years, female, white, stage:Stage IIA, dead, 236 days 25813.3
TCGA-DM-A28C-01A 74 years, male, white, stage:Stage IIA, dead, 2475 days 25789.8
TCGA-F4-6809-01A 52 years, female, white, stage:Stage IVA, dead, 403 days 25550.5
TCGA-DM-A28H-01A 50 years, male, white, stage:Stage IIIC, alive, 3561 days 25430.5
TCGA-NH-A50U-01A 42 years, male, black or african american, stage:Stage IVA, dead, 334 days 24611.4
TCGA-DM-A1D6-01A 88 years, male, white, stage:Stage IIA, dead, 570 days 24550.9
TCGA-DM-A1D7-01A 82 years, male, white, stage:Stage IIA, dead, 405 days 24384.7
TCGA-AA-3511-01A 64 years, male, stage:Stage II, alive, 212 days 24247.5
TCGA-CM-5349-01A 68 years, female, white, stage:Stage IIA, alive, 915 days 24194.9
TCGA-F4-6461-01A 41 years, female, white, stage:Stage IIIC, dead, 338 days 23999.2
TCGA-F4-6460-01A 51 years, female, white, stage:Stage IIIB, dead, 972 days 23631.4
TCGA-DM-A28K-01A 75 years, male, white, stage:Stage IIA, alive, 2988 days 23449.9
TCGA-RU-A8FL-01A 51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days 23353.6
TCGA-AU-6004-01A 69 years, female, white, stage:Stage I, alive, 824 days 23265.7
TCGA-F4-6806-01A 59 years, female, white, stage:Stage I, alive, 1260 days 23218.1
TCGA-A6-6141-01A 31 years, male, black or african american, stage:Stage IIA, alive, 255 days 22810.3
TCGA-CM-5863-01A 60 years, female, white, stage:Stage IIIB, alive, 457 days 22702.4
TCGA-DM-A0X9-01A 71 years, female, white, stage:Stage IIA, alive, 3641 days 22402.9
TCGA-CM-5344-01A 39 years, female, white, stage:Stage IIIB, alive, 670 days 22067.0
TCGA-G4-6321-01A 60 years, female, white, stage:Stage III, alive, 672 days 21509.8
TCGA-QG-A5YW-01A 55 years, female, black or african american, stage:Stage IIIC, alive, 896 days 21463.5
TCGA-G4-6310-01A 69 years, male, white, stage:Stage IIIB, alive, 1935 days 21409.4
TCGA-DM-A285-01A 71 years, female, white, stage:Stage IV, dead, 179 days 21274.2
TCGA-D5-6541-01A 49 years, male, white, stage:Stage IIA, alive, 474 days 21021.0
TCGA-AY-A71X-01A 54 years, female, black or african american, stage:Stage I, alive, 588 days 20975.5
TCGA-DM-A1D9-01A 67 years, female, white, stage:Stage IIA, alive, 4270 days 20672.9
TCGA-AA-3655-01A 68 years, male, stage:Stage II, alive, 1856 days 20450.2
TCGA-AA-3697-01A 77 years, male, stage:Stage II, alive, 2587 days 20434.2
TCGA-CM-4743-01A 69 years, male, white, stage:Stage IIA, alive, 701 days 20363.7
TCGA-NH-A6GB-01A 71 years, female, black or african american, stage:Stage IIIC, alive, 476 days 20350.8
TCGA-D5-6531-01A 75 years, male, white, stage:Stage IIA, alive, 540 days 20349.8
TCGA-3L-AA1B-01A 61 years, female, black or african american, stage:Stage I, alive, 475 days 20300.1
TCGA-CK-4950-01A 68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days 20274.4
TCGA-NH-A8F7-01A 53 years, female, black or african american, stage:Stage IIA, alive, 543 days 20185.6
TCGA-A6-A567-01A 56 years, male, black or african american, stage:Stage IV, dead, 1881 days 20101.7
TCGA-F4-6808-01A 54 years, female, white, stage:Stage I, alive, 1024 days 19921.9
TCGA-AD-6963-01A 58 years, male, white, stage:'--, alive, 834 days 19689.3
TCGA-AZ-6603-01A 77 years, female, white, stage:'--, dead, 899 days 19600.3
TCGA-QG-A5YX-01A 61 years, female, black or african american, stage:Stage IIA, alive, 1003 days 19520.0
TCGA-A6-6142-01A 56 years, female, white, stage:Stage IVA, alive, 763 days 19499.5
TCGA-CM-6165-01A 74 years, male, white, stage:Stage IIA, alive, 488 days 19362.3
TCGA-G4-6627-01A 84 years, male, white, stage:Stage IIA, alive, 2175 days 19303.6
TCGA-DM-A1HB-01A 75 years, male, white, stage:Stage IIIB, alive, 4126 days 19214.6
TCGA-G4-6586-01A 73 years, female, white, stage:Stage IIA, alive, 1089 days 19166.2
TCGA-DM-A28F-01A 73 years, male, white, stage:Stage IIIB, dead, 1094 days 19069.1
TCGA-AA-A02Y-01A 73 years, male, stage:Stage I, alive, 1216 days 19049.8
TCGA-AY-A8YK-01A 44 years, male, black or african american, stage:Stage IVA, alive, 573 days 18997.3
TCGA-G4-6588-01A 58 years, female, white, stage:Stage IIA, alive, 796 days 18581.5
TCGA-G4-6294-01A 75 years, male, white, stage:Stage IV, dead, 858 days 18529.0
TCGA-D5-6530-01A 53 years, male, white, stage:Stage I, alive, 621 days 18492.3
TCGA-AY-5543-01A 65 years, female, black or african american, stage:Stage IVA, alive, 1004 days 18329.8
TCGA-G4-6293-01A 49 years, female, white, stage:Stage III, alive, 4051 days 18310.7
TCGA-AD-A5EK-01A 51 years, male, black or african american, stage:Stage I, alive, 500 days 18239.6
TCGA-CM-6163-01A 74 years, male, white, stage:Stage I, alive, 427 days 17914.0
TCGA-DM-A1DB-01A 68 years, male, white, stage:Stage IIA, dead, 1348 days 17873.1
TCGA-G4-6320-01A 73 years, male, white, stage:Stage III, alive, 804 days 17690.5
TCGA-5M-AAT6-01A 40 years, female, black or african american, stage:Stage IV, dead, 290 days 17651.4
TCGA-AU-3779-01A 80 years, female, white, stage:Stage IIA, alive, 441 days 17642.6
TCGA-CK-6751-01A 88 years, female, white, stage:Stage I, alive, 518 days 17477.1
TCGA-CM-6678-01A 63 years, female, white, stage:Stage IVA, alive, 335 days 17429.7
TCGA-G4-6626-01A 90 years, male, white, stage:Stage IIA, dead, 1 days 17366.2
TCGA-AZ-6606-01A 81 years, male, white, stage:Stage IV, dead, 357 days 17224.5
TCGA-DM-A0XF-01A 68 years, female, white, stage:Stage IIIC, dead, 1162 days 17098.9
TCGA-CM-6170-01A 73 years, female, white, stage:Stage I, alive, 457 days 17017.4
TCGA-G4-6306-01A 71 years, male, white, stage:'--, alive, 1359 days 16896.3
TCGA-AA-3660-01A 51 years, female, stage:Stage II, alive, 2375 days 16810.1
TCGA-D5-6529-01A 69 years, male, white, stage:Stage IIA, alive, 614 days 16777.8
TCGA-DM-A28E-01A 72 years, female, white, stage:Stage IIA, alive, 3648 days 16642.5
TCGA-CM-6679-01A 58 years, male, white, stage:Stage IIA, alive, 306 days 16619.4
TCGA-CM-6172-01A 70 years, female, white, stage:Stage IIIB, alive, 335 days 16338.8
TCGA-AZ-4616-01A 82 years, female, white, stage:Stage IV, dead, 156 days 15929.9
TCGA-A6-2675-01A 78 years, male, white, stage:Stage IIA, alive, 1321 days 15909.4
TCGA-A6-6648-01A 56 years, male, white, stage:Stage IVA, alive, 766 days 15850.5
TCGA-CK-5912-01A 81 years, male, white, stage:Stage I, dead, 1493 days 15748.3
TCGA-F4-6463-01A 51 years, male, white, stage:Stage IIA, alive, 1087 days 15690.5
TCGA-AZ-6608-01A 55 years, female, white, stage:Stage IIIA, dead, 59 days 15651.4
TCGA-CA-5255-01A 45 years, male, asian, stage:Stage IIA, alive, 376 days 15637.4
TCGA-CM-5348-01A 72 years, male, white, stage:Stage IIIB, alive, 699 days 15586.7
TCGA-AA-3662-01A 80 years, female, stage:Stage IV, alive, 184 days 15525.9
TCGA-G4-6307-01A 37 years, female, white, stage:Stage IIIB, alive, 1674 days 15495.8
TCGA-A6-6650-01A 69 years, female, black or african american, stage:Stage IIA, alive, 627 days 15470.4
TCGA-G4-6315-01A 66 years, male, white, stage:Stage IV, alive, 1883 days 15414.8
TCGA-5M-AAT4-01A 74 years, male, black or african american, stage:Stage IV, dead, 49 days 15305.8
TCGA-CM-6171-01A 77 years, female, white, stage:Stage I, alive, 427 days 15299.3
TCGA-D5-7000-01A 79 years, female, white, stage:Stage I, alive, 312 days 15172.4
TCGA-AA-3496-01A 83 years, female, stage:Stage II, alive, 31 days 15101.4
TCGA-D5-6932-01A 69 years, male, white, stage:Stage IIA, alive, 346 days 15075.2
TCGA-QG-A5YV-01A 64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days 14883.6
TCGA-AZ-6599-01A 72 years, male, white, stage:Stage I, dead, 206 days 14742.9
TCGA-CM-6674-01A 39 years, male, white, stage:Stage IIA, alive, 394 days 14568.0
TCGA-D5-6533-01A 68 years, female, white, stage:'--, alive, 775 days 14543.6
TCGA-G4-6625-01A 77 years, female, white, stage:Stage IIA, alive, 2792 days 14497.8
TCGA-CM-6164-01A 46 years, female, white, stage:Stage IIA, alive, 883 days 14443.9
TCGA-AZ-6605-01A 77 years, male, white, stage:Stage IIIB, dead, 159 days 14361.6
TCGA-D5-5537-01A 83 years, male, white, stage:'--, dead, 1381 days 14265.1
TCGA-CK-6747-01A 87 years, female, white, stage:Stage IIA, alive, 820 days 14113.9
TCGA-G4-6299-01A 69 years, male, white, stage:Stage IIIC, alive, 2268 days 14091.9
TCGA-CM-5861-01A 63 years, female, white, stage:Stage IIA, alive, 457 days 13915.2
TCGA-CK-5914-01A 81 years, male, white, stage:Stage IIIB, alive, 669 days 13844.1
TCGA-CA-5797-01A 56 years, male, asian, stage:Stage IIA, alive, 383 days 13741.3
TCGA-G4-6311-01A 80 years, male, white, stage:Stage III, alive, 1199 days 13521.4
TCGA-G4-6314-01A 76 years, female, white, stage:Stage IV, alive, 1093 days 13420.9
TCGA-A6-5659-01A 82 years, male, white, stage:Stage I, alive, 926 days 13408.5
TCGA-F4-6570-01A 78 years, female, white, stage:Stage IIA, dead, 188 days 13395.7
TCGA-AM-5820-01A 59 years, female, white, stage:Stage IVA, alive, 14 days 13053.9
TCGA-D5-6536-01A 73 years, male, white, stage:Stage IIA, alive, 543 days 12976.8
TCGA-CM-6680-01A 78 years, female, white, stage:Stage IIIB, alive, 366 days 12961.7
TCGA-CM-5862-01A 80 years, male, white, stage:Stage IVA, dead, 153 days 12928.5
TCGA-A6-5664-01A 80 years, male, black or african american, stage:Stage IIIC, alive, 672 days 12924.3
TCGA-D5-6535-01A 80 years, female, white, stage:Stage IIIB, alive, 460 days 12866.6
TCGA-SS-A7HO-01A 44 years, female, black or african american, stage:Stage IIB, alive, 1829 days 12668.2
TCGA-A6-5665-01A 84 years, female, white, stage:Stage IIA, alive, 671 days 12666.2
TCGA-D5-6540-01A 66 years, male, white, stage:Stage I, alive, 491 days 12651.5
TCGA-D5-6539-01A 45 years, female, white, stage:'--, alive, 380 days 12648.1
TCGA-A6-6651-01A 55 years, female, white, stage:Stage IIIB, alive, 662 days 12489.9
TCGA-AA-3713-01A 68 years, male, stage:Stage IV, alive, 579 days 12479.6
TCGA-AZ-6598-01A 77 years, female, white, stage:Stage II, dead, 1503 days 12474.9
TCGA-CM-6169-01A 67 years, male, black or african american, stage:Stage IIA, alive, 396 days 12456.7
TCGA-F4-6704-01A 60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days 12442.8
TCGA-G4-6309-01A 40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days 12419.7
TCGA-CM-5868-01A 59 years, female, white, stage:Stage IVA, alive, 518 days 12301.0
TCGA-F4-6569-01A 60 years, male, white, stage:Stage I, alive, 1087 days 12248.3
TCGA-D5-5539-01A 60 years, male, white, stage:Stage IIIA, alive, 596 days 12088.3
TCGA-D5-6926-01A 65 years, male, white, stage:Stage IIIB, alive, 275 days 11969.2
TCGA-CK-6748-01A 45 years, female, white, stage:Stage IV, alive, 61 days 11733.0
TCGA-CM-6676-01A 82 years, male, white, stage:Stage I, alive, 337 days 11725.3
TCGA-A6-6140-01A 62 years, male, white, stage:Stage IIA, alive, 734 days 11703.6
TCGA-G4-6322-01A 65 years, male, white, stage:Stage IIIB, alive, 792 days 11584.5
TCGA-AY-6197-01A 60 years, male, white, stage:Stage IIA, alive, 652 days 11498.5
TCGA-AY-6386-01A 66 years, female, black or african american, stage:Stage IIIB, alive, 542 days 11464.0
TCGA-A6-6138-01A 61 years, male, white, stage:Stage I, alive, 685 days 11372.0
TCGA-F4-6855-01A 70 years, female, white, stage:Stage IIA, alive, 1442 days 11243.7
TCGA-CM-6167-01A 57 years, female, black or african american, stage:Stage IIIC, alive, 456 days 11182.9
TCGA-A6-4105-01A 79 years, male, white, stage:Stage IIA, dead, 442 days 11167.3
TCGA-A6-6654-01A 65 years, female, white, stage:Stage IIIB, alive, 726 days 11146.0
TCGA-F4-6805-01A 58 years, female, white, stage:Stage IIA, alive, 1047 days 11047.1
TCGA-CM-6675-01A 35 years, male, black or african american, stage:Stage IVB, alive, 397 days 11046.0
TCGA-AA-3489-01A 75 years, male, stage:Stage II, dead, 214 days 10918.7
TCGA-AA-3675-01A 84 years, male, stage:Stage II, alive, 1431 days 10865.5
TCGA-A6-6652-01A 59 years, male, black or african american, stage:Stage IVA, alive, 751 days 10854.1
TCGA-A6-6137-01A 55 years, male, white, stage:Stage IIIB, alive, 824 days 10790.6
TCGA-AD-6548-01A 81 years, female, white, stage:Stage I, alive, 650 days 10732.9
TCGA-AZ-6600-01A 64 years, male, black or african american, stage:Stage IV, dead, 368 days 10721.1
TCGA-A6-5661-01A 80 years, female, black or african american, stage:Stage IIA, alive, 1020 days 10696.2
TCGA-CA-6717-01A 57 years, male, asian, stage:Stage IIA, alive, 388 days 10583.1
TCGA-CK-5913-01A 58 years, female, white, stage:Stage IIA, alive, 1561 days 10500.0
TCGA-AD-6964-01A 58 years, male, white, stage:'--, dead, 331 days 10477.2
TCGA-CA-6716-01A 65 years, male, asian, stage:Stage IIA, alive, 371 days 10372.7
TCGA-CK-4952-01A 48 years, female, white, stage:Stage IIIC, alive, 475 days 10334.9
TCGA-AY-6196-01A 47 years, male, white, stage:Stage IIIC, alive, 6 days 10310.4
TCGA-A6-5660-01A 73 years, male, black or african american, stage:Stage IIIC, alive, 888 days 10286.4
TCGA-D5-6922-01A 76 years, male, white, stage:Stage IIIA, alive, 308 days 10256.9
TCGA-G4-6297-01A 55 years, female, white, stage:Stage IV, alive, 2506 days 10220.4
TCGA-D5-6923-01A 57 years, male, white, stage:Stage I, alive, 378 days 10169.7
TCGA-AD-6890-01A 65 years, male, white, stage:'--, alive, 746 days 10110.0
TCGA-AD-5900-01A 67 years, male, white, stage:Stage I, alive, 370 days 10093.9
TCGA-QG-A5Z2-01A 61 years, male, black or african american, stage:Stage I, alive, 952 days 10032.4
TCGA-WS-AB45-01A 52 years, female, black or african american, stage:Stage IIA, alive, 2130 days 9991.7
TCGA-D5-6920-01A 77 years, female, white, stage:Stage IIA, alive, 377 days 9942.8
TCGA-F4-6459-01A 61 years, female, white, stage:Stage IIIB, dead, 262 days 9879.2
TCGA-CM-5864-01A 60 years, male, white, stage:Stage I, alive, 457 days 9866.3
TCGA-CM-6677-01A 75 years, female, white, stage:Stage IIA, alive, 337 days 9847.7
TCGA-G4-6317-01A 51 years, female, white, stage:Stage IIIC, alive, 1095 days 9789.3
TCGA-AZ-4323-01A 37 years, male, white, stage:Stage IV, dead, 43 days 9780.5
TCGA-CM-6166-01A 48 years, female, white, stage:Stage I, alive, 669 days 9633.4
TCGA-AZ-6601-01A 68 years, male, white, stage:Stage II, dead, 3042 days 9470.0
TCGA-A6-6653-01A 82 years, male, white, stage:Stage I, alive, 742 days 9451.2
TCGA-CK-5916-01A 71 years, female, white, stage:Stage I, dead, 643 days 9403.9
TCGA-A6-5667-01A 40 years, female, white, stage:Stage IIIB, alive, 887 days 9334.7
TCGA-CM-6168-01A 84 years, female, black or african american, stage:Stage IIA, alive, 395 days 9313.4
TCGA-D5-6532-01A 61 years, male, white, stage:Stage IIA, alive, 555 days 9190.8
TCGA-AD-6889-01A 76 years, male, asian, stage:Stage IIA, dead, 2532 days 9149.6
TCGA-CA-6719-01A 77 years, male, asian, stage:Stage IIA, alive, 435 days 9104.8
TCGA-AD-6899-01A 84 years, male, white, stage:Stage IIIC, dead, 176 days 8914.9
TCGA-F4-6854-01A 77 years, female, white, stage:Stage IIA, alive, 16 days 8914.2
TCGA-F4-6807-01A 51 years, female, white, stage:Stage IIIC, alive, 1309 days 8845.7
TCGA-A6-2686-01A 81 years, female, white, stage:Stage IIA, dead, 1126 days 8745.8
TCGA-AA-3526-01A 57 years, male, stage:Stage I, alive, 580 days 8738.2
TCGA-CA-5254-01A 42 years, female, asian, stage:Stage IIA, alive, 386 days 8681.3
TCGA-NH-A6GA-01A 58 years, male, black or african american, stage:Stage IIIC, dead, 302 days 8674.8
TCGA-AD-6901-01A 78 years, male, white, stage:'--, dead, 682 days 8258.8
TCGA-CM-6161-01A 36 years, female, white, stage:Stage I, alive, 457 days 8221.6
TCGA-DM-A288-01A 68 years, male, white, stage:Stage IIIC, dead, 427 days 8101.5
TCGA-A6-5657-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 962 days 8084.1
TCGA-G4-6304-01A 66 years, female, white, stage:Stage IIB, alive, 1631 days 8035.5
TCGA-D5-6898-01A 51 years, female, white, stage:Stage I, alive, 229 days 7981.9
TCGA-AZ-6607-01A 69 years, male, white, stage:Stage IV, dead, 97 days 7920.0
TCGA-DM-A1HA-01A 82 years, male, white, stage:Stage IIIC, alive, 2600 days 7827.8
TCGA-G4-6295-01A 70 years, female, white, stage:Stage II, alive, 254 days 7714.7
TCGA-DM-A28A-01A 78 years, male, white, stage:Stage IIIC, dead, 805 days 7632.8
TCGA-D5-6930-01A 67 years, male, white, stage:Stage IIA, alive, 406 days 7367.7
TCGA-D5-6931-01A 77 years, male, white, stage:Stage IIIC, alive, 365 days 7361.5
TCGA-F4-6703-01A 64 years, male, white, stage:Stage IIA, alive, 1456 days 7214.8
TCGA-A6-6649-01A 66 years, male, white, stage:Stage IIIB, alive, 735 days 7148.9
TCGA-CA-6715-01A 63 years, male, asian, stage:Stage IIIB, alive, 383 days 6791.7
TCGA-AZ-5407-01A 51 years, female, white, stage:Stage I, alive, 2683 days 6721.8
TCGA-D5-6538-01A 79 years, female, white, stage:Stage IIIB, alive, 521 days 6684.1
TCGA-AA-3663-01A 42 years, male, stage:Stage II, alive, 212 days 6522.6
TCGA-D5-6534-01A 62 years, female, white, stage:Stage IIA, alive, 1316 days 6347.6
TCGA-AD-6888-01A 73 years, male, white, stage:Stage IIIB, dead, 472 days 6247.1
TCGA-CM-6162-01A 48 years, female, white, stage:Stage IIIB, alive, 365 days 6201.4
TCGA-AZ-5403-01A 43 years, male, white, stage:Stage II, dead, 1910 days 5974.7
TCGA-CM-4744-01A 69 years, male, white, stage:Stage I, alive, 609 days 5693.5
TCGA-AA-3685-01A 69 years, male, stage:Stage II, alive, 1127 days 5537.8
TCGA-G4-6628-01A 78 years, male, white, stage:Stage I, alive, 2424 days 5488.7
TCGA-G4-6303-01A 54 years, female, white, stage:Stage IV, dead, 2003 days 5214.6
TCGA-AD-6895-01A 84 years, male, white, stage:Stage IIIB, alive, 763 days 5186.1
TCGA-D5-6537-01A 64 years, male, white, stage:Stage IIIB, dead, 146 days 4963.3
TCGA-CA-6718-01A 46 years, male, asian, stage:Stage IIA, dead, 306 days 4855.1
TCGA-D5-5538-01A 60 years, female, white, stage:Stage IIIB, dead, 1661 days 4638.2
TCGA-AD-6965-01A 62 years, male, white, stage:Stage IIIC, alive, 805 days 4182.0
TCGA-D5-6927-01A 34 years, male, white, stage:Stage IIA, alive, 287 days 4033.0
TCGA-A6-5662-01A 46 years, male, white, stage:Stage IVA, alive, 718 days 3942.8
TCGA-AM-5821-01A 68 years, female, white, stage:Stage IIA, alive, 28 days 3659.9
TCGA-D5-6929-01A 49 years, female, white, stage:Stage IV, alive, 408 days 3509.9
TCGA-D5-6924-01A 68 years, male, white, stage:Stage IIA, alive, 435 days 3014.7
TCGA-CM-5860-01A 44 years, male, white, stage:Stage IIA, alive, 974 days 2960.1
TCGA-A6-5656-01A 74 years, male, white, stage:Stage I, alive, 1001 days 2868.1
TCGA-A6-5666-01A 78 years, male, white, stage:Stage IIC, alive, 995 days 2828.5
TCGA-A6-3810-01A 62 years, male, white, stage:Stage IIA, alive, 1111 days 2651.2
TCGA-F4-6856-01A 45 years, male, white, stage:Stage I, alive, 1074 days 2482.8
TCGA-D5-6928-01A 80 years, male, white, stage:Stage IIA, alive, 354 days 2263.8
TCGA-A6-6780-01A 74 years, male, white, stage:Stage IIA, alive, 612 days 2221.2
TCGA-A6-3809-01A 71 years, female, white, stage:Stage IIB, alive, 996 days 1535.1
TCGA-A6-6781-01A 43 years, male, white, stage:Stage IIIC, alive, 598 days 1113.7
TCGA-A6-2674-01A 71 years, male, white, stage:Stage IV, alive, 1331 days 1007.2
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COLON ADENOCARCINOMA (VALIDATION) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

MT-CO3 is not prognostic in Colon Adenocarcinoma (validation)


Stage:





Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 17775.1
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 21691.4
Number of samples 486
Samples
Sample Description pTPM
U0218 77 years, female, NA, stage:T3N0M0, alive, 714 days 64240.8
U0347 68 years, female, NA, stage:T4N1M1, alive, 628 days 58746.7
U0163 81 years, male, NA, stage:T4N0M0, alive, 697 days 57969.5
U1046 78 years, female, NA, stage:T4N2M1, dead, 697 days 55599.8
U0993 83 years, male, NA, stage:T4N2M0, alive, 1267 days 52232.5
U0187 77 years, male, NA, stage:T3N2M0, alive, 1632 days 50036.6
U0167 79 years, male, NA, stage:T3N1M0, alive, 1820 days 49178.9
U0229 70 years, female, NA, stage:TXN2M1, dead, 2115 days 48975.5
U0375 66 years, male, NA, stage:T3N0M0, dead, 666 days 48436.3
U0326 64 years, female, NA, stage:T3N0M0, alive, 3178 days 47616.9
U0234 75 years, male, NA, stage:T1N1M0, alive, 990 days 46601.6
U0246 74 years, female, NA, stage:T4N0M0, dead, 1192 days 45856.1
U0193 76 years, male, NA, stage:T3N1M0, dead, 876 days 45566.4
U1317 68 years, male, NA, stage:T4N1M0, alive, 965 days 44803.4
U1267 65 years, male, NA, stage:T3N1M0, dead, 2869 days 44591.2
U0278 73 years, female, NA, stage:T2N0M0, alive, 763 days 44478.4
U0125 86 years, female, NA, stage:T1N0M0, dead, 668 days 44299.8
U1073 79 years, female, NA, stage:T3N1M0, alive, 1359 days 44175.2
U0306 71 years, male, NA, stage:T3N1M0, dead, 717 days 44084.3
U0175 77 years, male, NA, stage:T3N2M0, alive, 1875 days 43352.4
U0381 60 years, male, NA, stage:T3N1M0, dead, 71 days 43105.8
U0094 89 years, female, NA, stage:T3N2M0, alive, 741 days 43093.1
U1072 80 years, male, NA, stage:T1N0M0, alive, 1446 days 41200.7
U1212 74 years, female, NA, stage:T2N0M0, alive, 69 days 41013.7
U0081 87 years, male, NA, stage:T3N2M0, dead, 248 days 40944.9
U0356 68 years, male, NA, stage:T4N1M0, alive, 536 days 40918.2
U0369 66 years, female, NA, stage:T3N0M0, dead, 1095 days 40861.4
U0934 87 years, female, NA, stage:T3N0M0, alive, 1185 days 40215.1
U1120 76 years, male, NA, stage:T4N1M1, alive, 823 days 40010.5
U0107 82 years, male, NA, stage:T3N0M0, dead, 2354 days 39542.1
U0066 93 years, male, NA, stage:T3N0M0, dead, 2486 days 38810.4
U0300 71 years, male, NA, stage:T2N0M0, alive, 974 days 38756.9
U0227 72 years, female, NA, stage:T4N2M0, alive, 291 days 38730.7
U0169 82 years, male, NA, stage:T4N2M0, alive, 616 days 38693.8
U0882 93 years, male, NA, stage:T3N0M0, alive, 1675 days 38676.7
U0100 85 years, female, NA, stage:T3N0M0, dead, 1920 days 38577.2
U1208 74 years, female, NA, stage:T1N0M0, alive, 834 days 37385.7
U0916 88 years, female, NA, stage:T3N0M0, alive, 1578 days 37368.9
U0436 59 years, male, NA, stage:T4N1M1, alive, 960 days 37282.4
U0385 65 years, male, NA, stage:T3N0M0, alive, 902 days 37028.2
U0336 68 years, female, NA, stage:T3N0M0, alive, 1100 days 36820.4
U1401 60 years, female, NA, stage:T3N0M0, alive, 1482 days 36739.3
U0210 75 years, male, NA, stage:T3N0M0, dead, 1800 days 36644.4
U0384 64 years, male, NA, stage:T2N1M1, alive, 1024 days 36375.3
U1343 62 years, female, NA, stage:T4N2M0, alive, 3178 days 36357.2
U0085 88 years, male, NA, stage:T4N1M0, dead, 1698 days 36242.9
U0225 77 years, male, NA, stage:T3N1M0, alive, 581 days 36099.9
U1059 77 years, male, NA, stage:T3N1M0, alive, 2790 days 35930.9
U0262 69 years, female, NA, stage:T2N0M0, alive, 2534 days 35868.9
U1235 71 years, female, NA, stage:T2N0M0, alive, 1319 days 35839.8
U0357 64 years, female, NA, stage:T3N0M0, alive, 2285 days 35328.5
U0401 60 years, male, NA, stage:T4N1M0, alive, 1715 days 35307.5
U1067 79 years, male, NA, stage:T3N0M0, alive, 1570 days 35164.2
U0295 67 years, male, NA, stage:T3N0M0, dead, 2572 days 35118.0
U1201 72 years, male, NA, stage:T3N2M0, alive, 1484 days 35106.4
U1473 46 years, female, NA, stage:T3N0M0, alive, 1553 days 35077.1
U1183 73 years, male, NA, stage:T4N2M0, alive, 959 days 34890.9
U0248 72 years, male, NA, stage:T3N0M0, alive, 1870 days 34748.8
U0442 56 years, male, NA, stage:T3N0M0, alive, 619 days 34541.3
U0314 67 years, female, NA, stage:T1N0M0, dead, 2436 days 34247.4
U0202 73 years, male, NA, stage:T3N0M0, dead, 2670 days 34196.8
U0200 73 years, female, NA, stage:T3N0M0, alive, 2614 days 33977.2
U0176 76 years, male, NA, stage:T3N1M0, alive, 2600 days 33892.8
U0211 76 years, female, NA, stage:T3N1M0, alive, 1236 days 33777.6
U0089 85 years, female, NA, stage:T1NXM0, dead, 2365 days 33702.1
U1472 47 years, female, NA, stage:T3N1M0, alive, 1316 days 33617.8
U1102 77 years, male, NA, stage:T2N0M0, alive, 1354 days 33547.0
U0143 80 years, male, NA, stage:T3N2M0, alive, 2313 days 33460.1
U0121 86 years, male, NA, stage:T4N2M0, alive, 655 days 33038.9
U0349 63 years, male, NA, stage:T3N1M0, alive, 2682 days 32545.9
U1250 70 years, male, NA, stage:T2N0M0, alive, 597 days 32464.4
U0469 42 years, male, NA, stage:T3N0M0, dead, 409 days 32461.6
U1369 63 years, male, NA, stage:T3N0M0, dead, 1604 days 32303.6
U0320 66 years, female, NA, stage:T4N2M1, alive, 188 days 32266.5
U0070 89 years, male, NA, stage:T1N0M0, dead, 1319 days 32196.8
U0365 68 years, female, NA, stage:T4N1M0, dead, 313 days 32072.7
U1251 69 years, male, NA, stage:T4N2M0, alive, 126 days 32001.4
U0158 76 years, male, NA, stage:T1N0M0, dead, 3101 days 31936.2
U1127 71 years, female, NA, stage:T3N0M0, alive, 3465 days 31856.1
U0208 76 years, female, NA, stage:T3N1M0, dead, 1233 days 31806.7
U0287 69 years, female, NA, stage:T2N0M0, alive, 1897 days 31789.8
U0960 86 years, male, NA, stage:T3N0M0, alive, 1009 days 31729.7
U0178 76 years, female, NA, stage:T3N1M0, dead, 2096 days 31685.3
U0333 66 years, female, NA, stage:T3N2M0, dead, 1959 days 31488.1
U1160 74 years, male, NA, stage:T3N1M0, alive, 1557 days 31481.2
U0999 84 years, male, NA, stage:T3N2M0, alive, 860 days 31385.0
U0316 68 years, male, NA, stage:T3N2M0, alive, 2012 days 31337.5
U0465 43 years, male, NA, stage:T3N0M0, alive, 2383 days 31324.8
U0332 66 years, female, NA, stage:T3N0M0, alive, 2101 days 31121.0
U1111 76 years, female, NA, stage:T3N0M0, dead, 1631 days 30906.5
U2848 67 years, female, NA, stage:T4N2M0, alive, 669 days 30762.6
U0309 68 years, female, NA, stage:T3N0M0, dead, 1898 days 30719.1
U0109 82 years, female, NA, stage:T4N2M1, alive, 144 days 30660.1
U0141 81 years, male, NA, stage:T3N2M0, alive, 2079 days 30652.5
U1031 80 years, male, NA, stage:T1N1M0, alive, 1625 days 30627.9
U0373 64 years, female, NA, stage:T3N0M0, alive, 1822 days 30402.1
U1264 69 years, female, NA, stage:T3N0M0, dead, 1583 days 30257.5
U1086 73 years, female, NA, stage:T1N0M0, alive, 2907 days 30214.8
U1246 70 years, female, NA, stage:T3N0M0, alive, 1441 days 30064.7
U0382 61 years, female, NA, stage:T3N0M0, alive, 2550 days 30035.1
U0400 62 years, male, NA, stage:T4N0M0, dead, 1073 days 29714.8
U0355 67 years, male, NA, stage:T4N1M0, dead, 1038 days 29619.9
U0426 59 years, male, NA, stage:T3N0M0, dead, 976 days 29270.0
U0344 69 years, male, NA, stage:T2N1M0, dead, 818 days 29230.3
U0135 82 years, female, NA, stage:T3N0M0, alive, 1738 days 29177.3
U0148 80 years, male, NA, stage:T3N0M0, alive, 1780 days 29151.3
U1114 76 years, female, NA, stage:TXNXM1, dead, 473 days 29125.1
U0067 92 years, female, NA, stage:T3N0M0, alive, 2180 days 29087.0
U0239 76 years, male, NA, stage:T2N0M0, alive, 67 days 28964.2
U0367 61 years, female, NA, stage:T3N1M0, alive, 3075 days 28866.7
U1007 82 years, male, NA, stage:T3N0M0, alive, 1333 days 28735.8
U0335 65 years, female, NA, stage:T3N1M0, alive, 2464 days 28658.6
U0152 82 years, male, NA, stage:T3N1M0, alive, 989 days 28634.9
U1017 82 years, male, NA, stage:T3N0M0, alive, 615 days 28634.2
U1257 71 years, male, NA, stage:T3N0M0, alive, 833 days 28448.3
U0273 68 years, male, NA, stage:T2N1M0, alive, 2641 days 28446.4
U0153 80 years, female, NA, stage:T3N0M0, dead, 1718 days 28446.1
U0123 83 years, male, NA, stage:T3N0M0, dead, 1880 days 28392.7
U1258 70 years, male, NA, stage:T3N1M0, alive, 1373 days 28330.4
U0449 50 years, female, NA, stage:T3N0M0, alive, 1851 days 28327.6
U0083 88 years, male, NA, stage:T4N0M0, dead, 731 days 28261.5
U0285 69 years, female, NA, stage:T3N0M0, alive, 2165 days 28194.7
U0170 77 years, male, NA, stage:T4N1M0, dead, 832 days 28167.8
U0448 46 years, male, NA, stage:T3N2M0, alive, 3615 days 28147.3
U0313 70 years, male, NA, stage:T4N1M0, dead, 1142 days 28111.2
U1034 80 years, male, NA, stage:T4N0M0, alive, 1575 days 28063.4
U0446 53 years, male, NA, stage:T2N0M0, alive, 1446 days 28055.4
U0379 63 years, male, NA, stage:T2N0M0, alive, 1819 days 27852.6
U0260 69 years, male, NA, stage:T1N0M1, alive, 2928 days 27726.9
U0090 85 years, female, NA, stage:T3N0M0, dead, 1258 days 27706.3
U0250 74 years, female, NA, stage:T4N0M0, dead, 906 days 27487.1
U0289 66 years, female, NA, stage:T3N0M0, alive, 3511 days 27379.8
U0338 68 years, female, NA, stage:T3N0M0, alive, 1016 days 27292.9
U0427 59 years, male, NA, stage:T2N0M0, alive, 1193 days 27189.1
U0942 88 years, male, NA, stage:T3N0M0, alive, 665 days 27173.1
U0342 68 years, male, NA, stage:T4N2M0, alive, 305 days 26954.5
U0156 82 years, female, NA, stage:T4N1M0, alive, 1573 days 26949.0
U0433 58 years, male, NA, stage:T4N1M1, dead, 440 days 26781.0
U0102 87 years, female, NA, stage:T4N2M0, dead, 670 days 26751.1
U1104 78 years, female, NA, stage:T4N0M0, alive, 1109 days 26681.1
U0145 81 years, male, NA, stage:T3N1M1, alive, 623 days 26674.2
U0386 60 years, female, NA, stage:T4N1M1, alive, 2592 days 26598.8
U1347 65 years, female, NA, stage:T3N0M0, alive, 1401 days 26592.5
U0319 65 years, male, NA, stage:T3N0M0, alive, 2801 days 26522.2
U0376 66 years, male, NA, stage:T2N1M0, alive, 965 days 26520.0
U2819 86 years, female, NA, stage:T3N0M0, alive, 708 days 26518.6
U0290 72 years, male, NA, stage:T4N2M0, dead, 593 days 26380.8
U0117 83 years, female, NA, stage:T2N0M0, dead, 1078 days 26371.0
U0441 50 years, female, NA, stage:T2N1M0, alive, 2738 days 26254.5
U1103 76 years, female, NA, stage:T4N2M0, alive, 975 days 26226.7
U0196 75 years, male, NA, stage:T3N0M0, alive, 2086 days 26151.0
U0459 49 years, female, NA, stage:T3N0M0, alive, 966 days 26133.0
U0134 82 years, male, NA, stage:T3N0M0, alive, 2009 days 26058.7
U0157 83 years, male, NA, stage:T4N0M0, dead, 131 days 25955.5
U0361 63 years, male, NA, stage:T3N0M0, alive, 686 days 25931.9
U1041 81 years, male, NA, stage:T2N0M0, alive, 1108 days 25807.5
U0068 92 years, female, NA, stage:T3N1M0, alive, 1991 days 25726.7
U1386 62 years, male, NA, stage:T3N1M0, alive, 1518 days 25569.1
U1429 58 years, female, NA, stage:T3N0M0, alive, 1660 days 25377.4
U1454 54 years, female, NA, stage:T3N0M0, alive, 393 days 25230.6
U0451 47 years, female, NA, stage:T4N2M0, alive, 3023 days 25228.0
U1122 75 years, female, NA, stage:T3N2M0, alive, 1675 days 25213.9
U0354 69 years, male, NA, stage:T3N1M0, alive, 430 days 25123.1
U0254 75 years, female, NA, stage:T3N1M0, alive, 659 days 25078.6
U0991 83 years, male, NA, stage:T4N2M0, dead, 534 days 24946.4
U3018 67 years, male, NA, stage:T4N1M0, alive, 463 days 24872.6
U0411 59 years, female, NA, stage:T3N1M0, alive, 1868 days 24773.4
U1436 56 years, female, NA, stage:T3N0M0, alive, 1745 days 24751.0
U0244 69 years, female, NA, stage:T3N1M0, alive, 3184 days 24643.4
U0970 86 years, female, NA, stage:T4N1M0, alive, 939 days 24416.2
U0099 85 years, female, NA, stage:T3N0M0, dead, 986 days 24357.5
U0136 79 years, female, NA, stage:T3N0M0, dead, 2795 days 24342.7
U1044 76 years, male, NA, stage:T4N0M0, alive, 3146 days 24082.8
U0247 70 years, female, NA, stage:T3N1M0, alive, 2538 days 24044.0
U1220 70 years, male, NA, stage:T3N2M0, dead, 1953 days 24010.2
U0224 72 years, female, NA, stage:T3N0M0, alive, 2367 days 23954.8
U0095 86 years, male, NA, stage:T4N1M0, dead, 1034 days 23929.8
U0370 67 years, female, NA, stage:T3N0M0, alive, 1047 days 23835.7
U0277 72 years, male, NA, stage:T2N1M0, alive, 270 days 23686.5
U0245 71 years, female, NA, stage:T3N1M0, dead, 564 days 23661.1
U0179 75 years, male, NA, stage:T3N1M0, dead, 1043 days 23655.1
U0315 65 years, female, NA, stage:T2N0M0, alive, 1973 days 23641.4
U1240 70 years, male, NA, stage:T4N0M0, alive, 765 days 23619.2
U1486 39 years, female, NA, stage:T4N0M0, alive, 1606 days 23465.7
U0429 58 years, female, NA, stage:T3N0M1, alive, 1099 days 23450.5
U0280 68 years, male, NA, stage:T3N1M1, alive, 2731 days 23334.6
U0392 64 years, male, NA, stage:T3N2M0, alive, 489 days 23298.8
U0108 84 years, female, NA, stage:T3N0M1, alive, 535 days 23292.9
U1392 61 years, male, NA, stage:T3N0M0, alive, 1513 days 23264.9
U0126 79 years, male, NA, stage:T3N0M0, dead, 2876 days 23256.3
U1327 66 years, female, NA, stage:T3N0M0, alive, 1613 days 23218.9
U0462 45 years, female, NA, stage:T4N1M0, alive, 1017 days 23153.4
U0297 67 years, female, NA, stage:T3N2M0, alive, 1196 days 23113.4
U0002 82 years, female, NA, stage:T3N2M0, alive, 3691 days 23090.9
U1349 63 years, female, NA, stage:T3N1M0, alive, 1899 days 23034.8
U0221 77 years, male, NA, stage:T3N0M0, alive, 569 days 22985.5
U1095 76 years, female, NA, stage:T3N1M1, alive, 2425 days 22984.2
U0308 72 years, male, NA, stage:T4N1M0, alive, 1075 days 22960.9
U0274 70 years, male, NA, stage:T3N0M0, dead, 1570 days 22782.9
U0222 72 years, female, NA, stage:T3N2M1, alive, 1779 days 22725.3
U0119 81 years, female, NA, stage:T3N0M0, alive, 3259 days 22722.7
U0403 60 years, male, NA, stage:T3N1M1, dead, 1809 days 22692.0
U1141 71 years, female, NA, stage:T4N1M1, dead, 596 days 22691.2
U2953 55 years, female, NA, stage:T4aN0M0, alive, 541 days 22668.7
U0389 64 years, female, NA, stage:T3N1M0, dead, 927 days 22627.0
U0098 84 years, male, NA, stage:T3N0M0, dead, 2473 days 22526.7
U2958 84 years, female, NA, stage:T1N0M0, alive, 536 days 22360.3
U0124 81 years, female, NA, stage:T1N0M0, alive, 2430 days 22296.1
U0471 38 years, female, NA, stage:T3N1M0, alive, 1673 days 22239.1
U1274 69 years, male, NA, stage:T2N1M0, alive, 1198 days 22237.5
U0450 52 years, female, NA, stage:T3N1M0, alive, 763 days 22218.4
U1421 59 years, female, NA, stage:T3N1M0, alive, 1905 days 22212.4
U0129 82 years, male, NA, stage:T4N0M0, dead, 1265 days 22141.7
U0240 75 years, female, NA, stage:T3N1M0, dead, 800 days 22121.0
U0984 84 years, female, NA, stage:T4N0M0, alive, 1287 days 22099.3
U1107 80 years, male, NA, stage:T3N0M0, alive, 329 days 22088.4
U0092 84 years, male, NA, stage:T3N0M0, alive, 2779 days 21914.6
U0362 66 years, male, NA, stage:T3N0M0, alive, 1148 days 21857.7
U1344 65 years, female, NA, stage:T3N1M0, alive, 1450 days 21656.0
U1040 83 years, male, NA, stage:T2N0M0, alive, 1029 days 21642.8
U1303 66 years, male, NA, stage:T4N1M0, alive, 2283 days 21372.2
U0259 68 years, female, NA, stage:T4N2M0, alive, 76 days 21200.7
U0180 74 years, male, NA, stage:T3N0M1, dead, 965 days 21146.7
U0236 72 years, male, NA, stage:T3N1M0, alive, 1842 days 21021.3
U0078 91 years, female, NA, stage:T3N0M0, alive, 1183 days 20970.5
U0172 78 years, male, NA, stage:T4N0M0, dead, 678 days 20703.7
U0084 86 years, male, NA, stage:T3N0M0, dead, 1662 days 20703.3
U0590 75 years, female, NA, stage:T3N0M0, alive, 661 days 20664.6
U1062 78 years, female, NA, stage:T4N0M0, alive, 1689 days 20614.1
U1129 74 years, male, NA, stage:T3N0M0, dead, 118 days 20582.7
U0368 67 years, male, NA, stage:T2N0M0, alive, 801 days 20565.4
U0166 82 years, female, NA, stage:T3N0M0, alive, 763 days 20549.0
U0281 72 years, male, NA, stage:T3N2M0, alive, 933 days 20512.3
U1099 77 years, female, NA, stage:T3N0M0, alive, 2068 days 20437.6
U0318 71 years, male, NA, stage:T3N0M0, alive, 762 days 20422.0
U0110 87 years, female, NA, stage:T3N1M1, dead, 878 days 20408.7
U0915 88 years, female, NA, stage:T3N0M0, alive, 1613 days 20364.8
U1071 78 years, female, NA, stage:T4N0M1, alive, 1514 days 20351.3
U0440 51 years, female, NA, stage:T4N0M0, dead, 2743 days 20342.9
U0151 80 years, female, NA, stage:T3N0M0, alive, 2014 days 20337.3
U1332 65 years, male, NA, stage:T3N0M0, alive, 1672 days 20321.9
U0263 69 years, female, NA, stage:T3N0M1, alive, 362 days 20251.1
U0416 61 years, male, NA, stage:T1N1M0, alive, 1228 days 20223.7
U1483 43 years, female, NA, stage:T3N0M0, alive, 1094 days 20011.2
U0269 69 years, female, NA, stage:T3N0M0, alive, 2530 days 19961.4
U2979 73 years, male, NA, stage:T3N2M0, alive, 616 days 19819.4
U0321 70 years, female, NA, stage:T3N0M0, alive, 1029 days 19685.4
U0091 90 years, male, NA, stage:T3N0M0, alive, 520 days 19650.7
U1145 74 years, female, NA, stage:T3N0M0, dead, 445 days 19627.6
U0307 65 years, male, NA, stage:T3N0M0, alive, 2921 days 19564.9
U0302 73 years, male, NA, stage:T1N0M0, alive, 892 days 19557.6
U1304 69 years, female, NA, stage:TXNXM0, alive, 1081 days 19518.2
U0204 78 years, male, NA, stage:T3N0M0, dead, 770 days 19512.0
U0112 86 years, female, NA, stage:T3N0M1, alive, 551 days 19469.9
U2861 78 years, male, NA, stage:T3N0M0, alive, 652 days 19405.7
U3022 77 years, male, NA, stage:T2N0M0, alive, 484 days 19400.3
U0146 79 years, female, NA, stage:T3N2M0, dead, 733 days 19290.9
U0133 85 years, female, NA, stage:T3N0M0, alive, 773 days 19276.6
U0154 83 years, male, NA, stage:T3N0M0, alive, 820 days 19224.2
U0390 64 years, male, NA, stage:T3N1M0, alive, 871 days 19177.0
U0327 70 years, male, NA, stage:T4N0M0, alive, 833 days 19019.3
U2780 75 years, male, NA, stage:T3N0M0, alive, 778 days 18990.2
U0455 47 years, female, NA, stage:T3N2M0, alive, 2445 days 18930.6
U1158 76 years, female, NA, stage:T3N1M0, alive, 721 days 18914.4
U0358 64 years, female, NA, stage:T4N1M0, alive, 2290 days 18870.1
U1065 75 years, female, NA, stage:T3N2M0, alive, 2954 days 18861.1
U1374 66 years, male, NA, stage:T4N0M0, alive, 827 days 18836.7
U1432 60 years, female, NA, stage:T3N1M0, alive, 577 days 18817.0
U3038 82 years, male, NA, stage:T3N0M0, alive, 328 days 18729.9
U0142 80 years, female, NA, stage:T4N1M0, alive, 2340 days 18725.5
U2889 77 years, male, NA, stage:T4N0M0, alive, 623 days 18715.9
U1013 82 years, female, NA, stage:T2N1M0, alive, 1439 days 18666.9
U3051 48 years, male, NA, stage:T3N2M0, alive, 415 days 18612.8
U2856 71 years, female, NA, stage:T4N1M1, alive, 660 days 18552.9
U1447 57 years, male, NA, stage:T4N1M0, alive, 988 days 18532.5
U0453 46 years, male, NA, stage:T3N0M0, alive, 2859 days 18491.0
U1384 62 years, male, NA, stage:T4N1M0, alive, 1319 days 18447.2
U0377 59 years, female, NA, stage:T3N2M0, alive, 3720 days 18428.1
U0467 38 years, female, NA, stage:T3N0M0, alive, 1848 days 18408.9
U0214 72 years, male, NA, stage:T4N1M1, alive, 788 days 18352.0
U2964 84 years, male, NA, stage:T3N1M0, alive, 637 days 18133.8
U0004 61 years, female, NA, stage:T4N0M0, alive, 3649 days 18124.7
U0087 87 years, female, NA, stage:T3N2M0, dead, 337 days 18120.7
U0350 68 years, female, NA, stage:T4N0M0, alive, 770 days 18093.6
U0345 65 years, female, NA, stage:T3N0M0, alive, 2127 days 18037.6
U2975 85 years, male, NA, stage:T4N1M0, alive, 514 days 17978.7
U0312 65 years, female, NA, stage:T4N2M1, alive, 499 days 17976.7
U0257 69 years, male, NA, stage:T3N1M0, dead, 2508 days 17934.9
U2798 68 years, male, NA, stage:T3N0M0, alive, 751 days 17919.3
U0270 70 years, female, NA, stage:T1N0M0, alive, 2187 days 17780.1
U1474 45 years, female, NA, stage:T1N0MX, alive, 2012 days 17775.1
U0252 70 years, male, NA, stage:T3N1M0, dead, 1761 days 17679.3
U0249 75 years, female, NA, stage:T4N2M0, dead, 874 days 17631.3
U2981 74 years, male, NA, stage:T3N0M0, alive, 508 days 17591.0
U0360 67 years, female, NA, stage:T3N0M0, dead, 1016 days 17578.8
U2774 66 years, female, NA, stage:T3N0M0, alive, 783 days 17546.8
U1448 53 years, male, NA, stage:T3N0M1, dead, 1512 days 17470.1
U0191 80 years, male, NA, stage:T3N1M0, alive, 900 days 17464.6
U0421 60 years, male, NA, stage:T3N1M0, alive, 674 days 17461.8
U2792 68 years, male, NA, stage:T2N1M0, alive, 758 days 17369.6
U0398 63 years, female, NA, stage:T3N0M0, alive, 721 days 17359.7
U2803 66 years, male, NA, stage:T3N1M0, alive, 744 days 17132.2
U0456 46 years, male, NA, stage:T4N0M0, dead, 2222 days 17107.2
U0185 80 years, male, NA, stage:T1N0M0, alive, 1248 days 16955.9
U0189 74 years, female, NA, stage:T3N0M0, dead, 1823 days 16918.0
U2842 60 years, female, NA, stage:T4N2M0, alive, 675 days 16796.3
U0171 78 years, female, NA, stage:T3N1M0, dead, 1920 days 16790.2
U0428 60 years, male, NA, stage:T4N1M1, alive, 1016 days 16749.9
U0207 73 years, female, NA, stage:T3N0M0, dead, 2593 days 16742.9
U1037 80 years, male, NA, stage:T4N0M0, alive, 1658 days 16696.4
U0414 60 years, male, NA, stage:T3N0M0, alive, 1691 days 16669.4
U0383 60 years, male, NA, stage:T3N2M1, dead, 595 days 16655.3
U0955 83 years, female, NA, stage:T3N0M0, alive, 2170 days 16546.8
U1074 77 years, male, NA, stage:T3N0M0, dead, 1043 days 16541.5
U0115 84 years, female, NA, stage:T3N0M0, dead, 1738 days 16506.7
U1018 81 years, male, NA, stage:T4N1M1, dead, 1693 days 16492.6
U0177 81 years, female, NA, stage:T3N0M0, alive, 355 days 16490.9
U0235 75 years, female, NA, stage:T3N0M0, alive, 1327 days 16244.6
U0378 66 years, female, NA, stage:T4N1M0, dead, 815 days 16242.5
U2956 86 years, female, NA, stage:T3N0M0, alive, 540 days 16212.4
U3100 89 years, male, NA, stage:T3N1M0, dead, 1608 days 16189.3
U1239 69 years, male, NA, stage:T2N0M0, dead, 1998 days 16176.4
U1396 62 years, female, NA, stage:T4N0M0, alive, 1168 days 16149.7
U0072 88 years, male, NA, stage:T3N0M0, alive, 2772 days 16124.2
U3034 64 years, female, NA, stage:T3N1M0, alive, 443 days 16123.0
U1049 82 years, female, NA, stage:T3N1M0, alive, 1200 days 16122.4
U0233 71 years, female, NA, stage:T3N1M0, alive, 975 days 15986.5
U2999 79 years, female, NA, stage:T2N0M0, alive, 581 days 15913.3
U0939 82 years, male, NA, stage:T3N1M0, alive, 2960 days 15858.2
U0328 66 years, male, NA, stage:T4N0M0, dead, 1362 days 15710.0
U2815 82 years, female, NA, stage:T3N0M0, alive, 717 days 15699.2
U0268 67 years, male, NA, stage:T3N0M0, alive, 2978 days 15666.8
U0075 88 years, male, NA, stage:T3N0M0, dead, 3 days 15557.4
U0460 43 years, female, NA, stage:T3N0M0, dead, 2069 days 15381.3
U2754 81 years, male, NA, stage:T4N0M0, alive, 809 days 15254.5
U0288 72 years, male, NA, stage:T1N0M0, alive, 1513 days 15246.6
U0474 30 years, male, NA, stage:T3N1M0, alive, 1017 days 15246.4
U1094 79 years, female, NA, stage:T4N1M0, alive, 1267 days 15224.3
U3042 62 years, male, NA, stage:T3N0M0, alive, 324 days 15182.2
U2971 62 years, male, NA, stage:T4aN0M0, alive, 629 days 15065.2
U0396 59 years, male, NA, stage:T4N2M0, alive, 2243 days 14971.8
U0223 71 years, male, NA, stage:T4N1M0, alive, 1812 days 14880.3
U0105 82 years, female, NA, stage:T2N0M0, dead, 2158 days 14799.8
U1252 70 years, female, NA, stage:T4N2M0, alive, 1309 days 14675.1
U1075 78 years, female, NA, stage:T3N0M0, alive, 1290 days 14641.5
U0444 52 years, female, NA, stage:T4N1M0, alive, 1841 days 14585.1
U0472 32 years, male, NA, stage:TXN2M0, alive, 542 days 14571.9
U0267 73 years, male, NA, stage:T4N0M0, dead, 445 days 14540.3
U1366 63 years, male, NA, stage:T3N1M0, alive, 2010 days 14492.4
U0438 53 years, female, NA, stage:T3N0M0, alive, 2009 days 14384.6
U1228 71 years, male, NA, stage:T3N0M0, alive, 1333 days 14123.7
U3039 74 years, male, NA, stage:T4N1M1, dead, 366 days 14064.2
U0950 86 years, female, NA, stage:T4N1M0, alive, 1834 days 14035.9
U1276 66 years, male, NA, stage:T3N0M0, alive, 2474 days 14016.3
U2935 70 years, male, NA, stage:T4N1M0, alive, 555 days 14000.3
U0168 81 years, male, NA, stage:T3N0M0, dead, 948 days 13999.1
U1147 73 years, male, NA, stage:T3N0M0, dead, 282 days 13980.7
U1346 66 years, female, NA, stage:T3N0M0, alive, 1137 days 13950.1
U0317 64 years, female, NA, stage:T3N2M0, alive, 3209 days 13917.7
U1241 70 years, male, NA, stage:T3N1M0, dead, 49 days 13914.7
U0063 95 years, male, NA, stage:T1N0M0, dead, 1779 days 13889.8
U0181 74 years, female, NA, stage:T1N0M0, alive, 3623 days 13819.7
U0131 81 years, female, NA, stage:T4N2M1, alive, 238 days 13816.6
U1338 67 years, female, NA, stage:T4N1M0, dead, 716 days 13741.3
U0292 71 years, male, NA, stage:T4N1M0, alive, 1666 days 13719.9
U2891 81 years, male, NA, stage:T3N1M0, alive, 619 days 13614.6
U2896 81 years, female, NA, stage:T3N1M0, alive, 609 days 13540.7
U1022 81 years, male, NA, stage:T4N2M0, dead, 61 days 13515.3
U0256 74 years, male, NA, stage:T3N0M0, alive, 738 days 13510.8
U0203 77 years, male, NA, stage:T3N0M0, dead, 827 days 13510.6
U0266 70 years, female, NA, stage:T3N1M0, dead, 2221 days 13472.2
U1301 66 years, female, NA, stage:T4N2M0, dead, 877 days 13463.9
U0473 33 years, male, NA, stage:T3N1M0, alive, 786 days 13431.4
U3024 76 years, female, NA, stage:T3N0M0, alive, 463 days 13199.8
U2948 74 years, female, NA, stage:T3N1M0, alive, 543 days 13185.2
U0127 80 years, female, NA, stage:T3N0M0, dead, 2753 days 13102.6
U0929 85 years, male, NA, stage:T4N1M0, alive, 436 days 13076.7
U0198 77 years, male, NA, stage:T3N1M0, alive, 1272 days 13043.0
U2927 51 years, male, NA, stage:T3N1M0, alive, 564 days 12958.0
U0424 56 years, male, NA, stage:T3N0M0, alive, 2192 days 12947.3
U2959 63 years, male, NA, stage:T3N2M0, alive, 536 days 12934.8
U0937 86 years, male, NA, stage:T2N0M0, dead, 1558 days 12893.7
U1253 68 years, female, NA, stage:T3N0M0, dead, 165 days 12893.2
U0413 61 years, male, NA, stage:T2N0M0, alive, 1228 days 12851.1
U0445 51 years, female, NA, stage:T3N0M0, alive, 1851 days 12800.3
U0443 54 years, male, NA, stage:T3N0M0, alive, 1677 days 12751.4
U2902 86 years, female, NA, stage:T2N0M0, alive, 596 days 12729.4
U2753 81 years, female, NA, stage:T2N0M0, alive, 813 days 12632.6
U0144 84 years, male, NA, stage:T3N0M0, alive, 1218 days 12464.4
U0352 62 years, female, NA, stage:T4N2M0, dead, 385 days 12429.4
U0447 51 years, male, NA, stage:T4N1M0, dead, 1819 days 12383.1
U1150 75 years, female, NA, stage:T3N0M0, alive, 15 days 12362.4
U0397 62 years, male, NA, stage:T4N0M0, alive, 1663 days 12318.5
U2843 89 years, female, NA, stage:T3N0M0, alive, 674 days 12299.5
U0253 74 years, female, NA, stage:T3N0M0, alive, 958 days 12231.7
U0967 84 years, male, NA, stage:T2N0M0, dead, 1691 days 12199.7
U0101 84 years, male, NA, stage:T3N1M1, alive, 1878 days 12151.9
U2747 85 years, female, NA, stage:T4N1M0, dead, 54 days 12085.2
U3012 66 years, male, NA, stage:T3N0M0, alive, 472 days 12074.0
U1204 71 years, male, NA, stage:T4N2M0, alive, 2214 days 12052.8
U1213 73 years, female, NA, stage:T2N0M0, alive, 560 days 12052.7
U1045 80 years, female, NA, stage:T4N2M0, alive, 1239 days 11865.7
U2782 79 years, male, NA, stage:T3N1M1, alive, 773 days 11782.3
U0082 85 years, female, NA, stage:T3N1M0, dead, 2339 days 11486.8
U3029 84 years, male, NA, stage:T2N0M0, alive, 475 days 11434.1
U2882 65 years, female, NA, stage:T3N1M0, alive, 637 days 11391.4
U1321 65 years, male, NA, stage:T3N1M0, alive, 2578 days 11188.7
U0908 89 years, female, NA, stage:T3N0M1, dead, 40 days 10987.4
U0435 52 years, female, NA, stage:T2N0M0, alive, 3616 days 10984.1
U0209 74 years, male, NA, stage:T3N1M0, alive, 2109 days 10678.8
U2928 52 years, male, NA, stage:T2N0M0, alive, 563 days 10662.1
U0933 85 years, male, NA, stage:T3N2M0, dead, 1960 days 10646.5
U1446 53 years, female, NA, stage:T3N0M0, alive, 2314 days 10637.9
U0195 73 years, male, NA, stage:T3N0M0, alive, 3326 days 10622.7
U2837 76 years, female, NA, stage:T4N1M0, alive, 681 days 10596.3
U1291 68 years, female, NA, stage:T3N0M0, alive, 2000 days 10522.7
U1352 61 years, male, NA, stage:T3N2M1, dead, 741 days 10484.7
U2995 81 years, female, NA, stage:T3N1M0, alive, 491 days 10471.4
U0439 56 years, male, NA, stage:T3N1M0, alive, 1418 days 10290.5
U3037 63 years, male, NA, stage:T3N1M0, alive, 405 days 10077.9
U0348 69 years, female, NA, stage:T3N0M0, alive, 533 days 10034.0
U0966 84 years, male, NA, stage:T4N0M0, dead, 1513 days 9895.1
U0275 69 years, female, NA, stage:T3N2M0, alive, 549 days 9817.8
U3025 68 years, male, NA, stage:T4N2M1, alive, 377 days 9790.5
U0161 78 years, male, NA, stage:T4N2M1, alive, 42 days 9746.6
U1130 78 years, male, NA, stage:T2N1M0, alive, 913 days 9578.4
U0182 79 years, female, NA, stage:T4N1M0, dead, 260 days 9576.6
U0972 83 years, female, NA, stage:T1N0M0, alive, 2473 days 9568.8
U1162 73 years, male, NA, stage:T2N1M0, dead, 354 days 9515.3
U2942 74 years, male, NA, stage:T2N0M0, alive, 549 days 9511.3
U0404 57 years, female, NA, stage:T3N2M0, dead, 204 days 9457.3
U0162 82 years, female, NA, stage:T3N0M0, alive, 1488 days 9455.5
U0113 88 years, male, NA, stage:T4N2M0, alive, 1102 days 9431.5
U2947 77 years, female, NA, stage:T3N0M0, alive, 543 days 9421.5
U1292 69 years, female, NA, stage:T4N1M0, alive, 1147 days 9414.4
U3043 68 years, female, NA, stage:T3N2M0, alive, 287 days 9256.0
U0977 84 years, female, NA, stage:T4N2M0, dead, 140 days 9226.8
U0938 86 years, female, NA, stage:T3N0M0, dead, 1231 days 9158.4
U3005 74 years, male, NA, stage:T3N0M0, alive, 478 days 9147.1
U0408 56 years, female, NA, stage:T4N0M0, dead, 2100 days 9128.2
U1078 80 years, female, NA, stage:T3N0M0, alive, 1016 days 9115.4
U0420 56 years, male, NA, stage:T4N1M1, alive, 417 days 9073.9
U0976 82 years, female, NA, stage:T3N2M0, dead, 97 days 9025.0
U0111 88 years, male, NA, stage:T2N0M0, alive, 1117 days 9010.1
U3048 57 years, male, NA, stage:T4N2M0, alive, 535 days 8980.1
U0340 69 years, female, NA, stage:T4N2M1, dead, 438 days 8817.6
U1155 75 years, male, NA, stage:T4N1M0, alive, 1815 days 8698.7
U1032 80 years, male, NA, stage:T3N1M0, alive, 2113 days 8662.1
U0231 77 years, female, NA, stage:T2N0M0, alive, 991 days 8601.5
U0898 90 years, female, NA, stage:T4aN0M0, dead, 340 days 8595.0
U3008 82 years, female, NA, stage:T2N0M0, alive, 473 days 8580.4
U3032 61 years, female, NA, stage:T3N1M0, alive, 449 days 8438.7
U0149 82 years, female, NA, stage:T3N2M0, alive, 1715 days 8202.3
U3030 77 years, female, NA, stage:T3N0M0, alive, 380 days 8189.6
U0363 61 years, male, NA, stage:T3N1M0, alive, 3601 days 8137.0
U0165 81 years, female, NA, stage:T2N0M0, alive, 1702 days 8109.7
U3050 61 years, female, NA, stage:T3N0M0, alive, 407 days 8088.2
U0323 69 years, male, NA, stage:T2N0M0, dead, 1016 days 7933.2
U0199 78 years, female, NA, stage:T4N2M0, alive, 1372 days 7766.9
U0303 67 years, female, NA, stage:T3N0M0, alive, 2847 days 7649.2
U0183 74 years, male, NA, stage:T3N1M1, dead, 2957 days 7482.1
U0104 87 years, female, NA, stage:T4N0M0, dead, 1639 days 7235.6
U1069 77 years, female, NA, stage:T3N0M0, dead, 2187 days 7171.1
U0103 88 years, female, NA, stage:T3N1M0, alive, 1197 days 7152.0
U0073 87 years, male, NA, stage:T4N0MX, dead, 318 days 7059.2
U3122 85 years, female, NA, stage:T3N0M1, dead, 91 days 7051.2
U0215 77 years, male, NA, stage:T3N0M0, alive, 1269 days 7030.6
U0463 49 years, male, NA, stage:T3N0M0, alive, 946 days 7005.2
U0589 56 years, female, NA, stage:T3N0M0, alive, 1176 days 6884.9
U1184 70 years, male, NA, stage:T4N1M0, alive, 290 days 6830.2
U0387 65 years, male, NA, stage:T2N0M0, alive, 1327 days 6787.9
U0987 82 years, female, NA, stage:T3N0M0, alive, 2482 days 6772.1
U1047 75 years, female, NA, stage:T4N2M0, alive, 3592 days 6530.5
U0394 65 years, male, NA, stage:T2N1M0, alive, 969 days 6266.7
U3000 69 years, female, NA, stage:T3N0M0, alive, 584 days 6244.9
U0122 85 years, female, NA, stage:T2N0M0, dead, 159 days 6076.5
U0074 89 years, female, NA, stage:T3N0M0, dead, 1438 days 6044.2
U0069 94 years, female, NA, stage:T4N2M0, dead, 135 days 5958.7
U0399 63 years, female, NA, stage:T4N2M0, dead, 547 days 5899.5
U1188 72 years, female, NA, stage:T3N0M0, dead, 967 days 5727.5
U0106 82 years, female, NA, stage:T3N1M0, dead, 653 days 5724.5
U0186 73 years, female, NA, stage:T2N0M0, alive, 3726 days 5561.3
U0949 84 years, female, NA, stage:T3N0M1, dead, 594 days 5252.4
U0217 76 years, female, NA, stage:T3N0M0, dead, 538 days 5159.0
U1060 78 years, male, NA, stage:T3N0M0, alive, 2442 days 5133.9
U0464 49 years, male, NA, stage:T3N0M0, alive, 918 days 4783.3
Show allShow less
RECTUM ADENOCARCINOMA (TCGA) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

MT-CO3 is not prognostic in Rectum Adenocarcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 19892
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 16538.0
Number of samples 88
Samples
Sample Description pTPM
TCGA-DY-A1DF-01A 73 years, female, white, stage:Stage IIIC, dead, 734 days 57867.0
TCGA-DY-A1DD-01A 77 years, female, white, stage:Stage IIIB, dead, 1741 days 45384.8
TCGA-BM-6198-01A 73 years, male, white, stage:Stage IIIB, alive, 646 days 40073.4
TCGA-DY-A1H8-01A 77 years, female, white, stage:Stage IIIA, dead, 992 days 34472.8
TCGA-F5-6812-01A 67 years, male, white, stage:Stage IIA, alive, 1110 days 34108.1
TCGA-AF-A56K-01A 56 years, male, black or african american, stage:Stage IIA, alive, 2635 days 33608.7
TCGA-AG-3732-01A 78 years, female, stage:Stage I, alive, 1003 days 31445.3
TCGA-G5-6641-01A 67 years, male, white, stage:Stage IIIA, alive, 804 days 27634.7
TCGA-CL-4957-01A 79 years, female, stage:'--, dead, 425 days 26937.7
TCGA-F5-6571-01A 62 years, female, white, stage:Stage IIA, alive, 1288 days 25690.5
TCGA-DY-A1DG-01A 75 years, male, white, stage:Stage IVA, dead, 1566 days 25658.0
TCGA-EI-6510-01A 77 years, female, white, stage:'--, alive, 556 days 25464.9
TCGA-DY-A1DC-01A 72 years, female, white, stage:Stage IIA, dead, 1258 days 23804.6
TCGA-AF-5654-01A 73 years, female, white, stage:Stage I, dead, 512 days 23545.4
TCGA-EI-6509-01A 53 years, male, white, stage:Stage IIIC, alive, 517 days 23454.2
TCGA-AG-3591-01A 66 years, female, stage:Stage IIA, alive, 1035 days 23012.5
TCGA-AH-6544-01A 60 years, male, white, stage:'--, alive, 1173 days 22599.2
TCGA-F5-6813-01A 70 years, male, white, stage:Stage IIIC, dead, 598 days 21847.7
TCGA-EI-6514-01A 59 years, female, white, stage:Stage IIA, alive, 496 days 21297.6
TCGA-DT-5265-01A 51 years, male, asian, stage:Stage II, alive, 384 days 21082.6
TCGA-AG-3592-01A 68 years, male, stage:Stage IIA, alive, 1035 days 20908.0
TCGA-EI-6881-01A 60 years, male, white, stage:Stage IIIA, alive, 499 days 20789.3
TCGA-AH-6547-01A 79 years, female, white, stage:'--, dead, 76 days 20059.0
TCGA-AH-6903-01A 46 years, male, white, stage:Stage IIIB, alive, 592 days 19983.2
TCGA-AF-3911-01A 48 years, male, white, stage:Stage IIIC, alive, 1148 days 19938.6
TCGA-G5-6233-01A 74 years, male, white, stage:'--, dead, 556 days 19910.6
TCGA-AF-2693-01A 75 years, male, white, stage:Stage I, alive, 1155 days 19873.3
TCGA-EI-6513-01A 59 years, male, white, stage:Stage IIIB, alive, 497 days 19349.4
TCGA-G5-6235-01A 72 years, male, white, stage:Stage IIIB, alive, 1696 days 19276.8
TCGA-AF-2687-01A 57 years, male, white, stage:Stage IIIC, alive, 1427 days 18916.4
TCGA-AF-A56L-01A 48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days 18609.9
TCGA-CI-6620-01A 41 years, female, white, stage:Stage IVA, alive, 1009 days 18513.5
TCGA-G5-6572-01A 56 years, male, white, stage:'--, dead, 1432 days 18443.8
TCGA-AG-3742-01A 85 years, female, stage:Stage I, alive, 30 days 18278.8
TCGA-DC-6157-01A 48 years, male, black or african american, stage:Stage I, alive, 1581 days 18095.9
TCGA-AF-6136-01A 72 years, female, white, stage:Stage IIIB, alive, 741 days 17725.3
TCGA-AF-6655-01A 66 years, male, white, stage:Stage IIIA, alive, 609 days 17665.5
TCGA-EI-6508-01A 48 years, female, white, stage:Stage IIIB, alive, 636 days 17160.8
TCGA-CI-6622-01A 74 years, male, white, stage:Stage IIB, alive, 1362 days 16563.6
TCGA-AH-6643-01A 50 years, male, white, stage:Stage IIIC, dead, 1314 days 16257.0
TCGA-DY-A0XA-01A 57 years, female, white, stage:Stage IIA, alive, 3846 days 15692.7
TCGA-DC-6682-01A 57 years, male, white, stage:Stage IIA, alive, 762 days 15634.7
TCGA-CI-6621-01A 63 years, male, white, stage:Stage IIIB, alive, 419 days 15550.0
TCGA-AF-A56N-01A 47 years, female, black or african american, stage:Stage IIA, alive, 360 days 15209.8
TCGA-EI-6506-01A 78 years, female, white, stage:Stage IIA, alive, 625 days 15201.7
TCGA-AF-6672-01A 43 years, male, white, stage:Stage IV, alive, 748 days 14630.5
TCGA-AH-6644-01A 73 years, male, white, stage:'--, alive, 838 days 14552.1
TCGA-AF-2690-01A 76 years, female, white, stage:Stage IIIC, dead, 524 days 13700.5
TCGA-EI-6512-01A 64 years, female, white, stage:Stage IIIB, alive, 538 days 13378.7
TCGA-DY-A1DE-01A 56 years, female, white, stage:Stage IIA, alive, 3932 days 13051.0
TCGA-EI-6883-01A 63 years, male, white, stage:Stage IIC, alive, 350 days 12919.3
TCGA-EF-5831-01A 72 years, male, white, stage:Stage IIA, alive, 127 days 12897.6
TCGA-F5-6465-01A 64 years, female, white, stage:Stage IIA, alive, 1506 days 12883.3
TCGA-DC-6156-01A 62 years, male, white, stage:Stage IVA, alive, 943 days 12434.9
TCGA-AG-4021-01A 84 years, female, stage:Stage IV, dead, 121 days 12332.0
TCGA-AG-3902-01A 61 years, male, stage:Stage IIA, alive, 974 days 11820.9
TCGA-DC-6681-01A 70 years, female, white, stage:Stage IVA, alive, 790 days 11782.2
TCGA-F5-6811-01A 72 years, female, white, stage:Stage IIA, alive, 979 days 11739.5
TCGA-EF-5830-01A 54 years, male, white, stage:Stage IIB, alive, 106 days 11725.8
TCGA-F5-6464-01A 77 years, female, white, stage:Stage IIIC, dead, 303 days 11671.3
TCGA-EI-6511-01A 52 years, male, white, stage:Stage IIIB, alive, 482 days 11509.9
TCGA-CL-5917-01A 71 years, female, white, stage:Stage IIIC, alive, 2376 days 11264.1
TCGA-F5-6861-01A 60 years, female, white, stage:Stage IIA, alive, 1160 days 11181.2
TCGA-F5-6702-01A 71 years, male, white, stage:Stage IVA, dead, 869 days 11167.1
TCGA-AH-6549-01A 66 years, male, white, stage:'--, alive, 532 days 10872.1
TCGA-DC-4749-01A 57 years, male, white, stage:Stage I, alive, 762 days 10786.8
TCGA-AG-3731-01A 65 years, male, stage:Stage IV, alive, 1126 days 10782.4
TCGA-DC-6160-01A 68 years, male, white, stage:Stage I, alive, 1339 days 10454.0
TCGA-DC-6158-01A 70 years, male, white, stage:Stage I, dead, 334 days 10051.0
TCGA-DC-6683-01A 43 years, male, white, stage:Stage IIIB, alive, 762 days 9537.1
TCGA-AF-4110-01A 77 years, male, white, stage:Stage IVA, alive, 912 days 9432.0
TCGA-AG-4022-01A 59 years, female, stage:Stage II, alive, 1400 days 8930.9
TCGA-F5-6864-01A 74 years, female, white, stage:Stage IIIB, alive, 379 days 8706.5
TCGA-F5-6814-01A 57 years, male, white, stage:Stage IIA, alive, 1131 days 8150.9
TCGA-EI-6917-01A 33 years, male, white, stage:Stage IIIA, alive, 531 days 7488.7
TCGA-DC-6154-01A 57 years, female, white, stage:Stage IVA, alive, 365 days 7155.9
TCGA-DC-4745-01A 49 years, female, white, stage:Stage IIIB, alive, 639 days 7033.0
TCGA-EI-6882-01A 59 years, male, white, stage:Stage IIA, alive, 262 days 6774.5
TCGA-EI-6884-01A 71 years, male, white, stage:Stage IIIA, alive, 328 days 6565.4
TCGA-F5-6863-01A 71 years, female, white, stage:Stage IIIB, dead, 361 days 6315.2
TCGA-EI-6885-01A 57 years, female, white, stage:Stage IV, alive, 415 days 6162.2
TCGA-AH-6897-01A 48 years, male, white, stage:Stage I, alive, 804 days 5422.2
TCGA-EI-7002-01A 58 years, male, white, stage:Stage IV, alive, 364 days 5194.4
TCGA-EI-6507-01A 60 years, male, white, stage:Stage IIA, alive, 607 days 5102.3
TCGA-DC-5337-01A 69 years, male, white, stage:Stage I, alive, 792 days 4797.4
TCGA-DC-5869-01A 62 years, female, black or african american, stage:Stage IIIB, alive, 943 days 4639.0
TCGA-EI-7004-01A 37 years, female, white, stage:'--, alive, 257 days 3621.2
TCGA-DC-6155-01A 31 years, female, white, stage:Stage IIIA, alive, 425 days 2141.9
Show allShow less
RECTUM ADENOCARCINOMA (VALIDATION) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

MT-CO3 is not prognostic in Rectum Adenocarcinoma (validation)


Stage:




Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 26926.7
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 29395.9
Number of samples 207
Samples
Sample Description pTPM
U0329 70 years, male, NA, stage:T3N1M0, dead, 805 days 96809.4
U0533 68 years, male, NA, stage:T3N2M0, alive, 2248 days 68148.2
U0686 77 years, female, NA, stage:T4bN0M0, dead, 123 days 66242.9
U0576 69 years, male, NA, stage:T3N2M0, alive, 2540 days 63881.2
U0512 65 years, male, NA, stage:T3N0M0, alive, 2550 days 60074.8
U0556 66 years, male, NA, stage:T3N2M0, alive, 2037 days 59706.9
U0596 61 years, male, NA, stage:T3N0M0, alive, 2233 days 59304.1
U0188 76 years, female, NA, stage:T3N1M0, alive, 2134 days 59191.5
U0324 70 years, female, NA, stage:T4N1M0, alive, 938 days 56066.0
U0694 85 years, male, NA, stage:T4N0M0, dead, 489 days 55493.5
U0849 81 years, female, NA, stage:T4N0M1, dead, 267 days 55222.2
U0299 71 years, female, NA, stage:T4N2M0, alive, 43426 days 55153.4
U0366 67 years, male, NA, stage:T3NXM1, alive, 895 days 54983.0
U0298 72 years, male, NA, stage:T3N1M0, alive, 513 days 53014.6
U0642 87 years, male, NA, stage:T3N0M0, alive, 1603 days 50322.4
U0602 79 years, male, NA, stage:T2N0M0, alive, 1385 days 49688.6
U0237 71 years, male, NA, stage:T3N1M0, alive, 2492 days 48595.8
U0545 62 years, male, NA, stage:T3N0M0, alive, 2340 days 48538.6
U0579 65 years, female, NA, stage:T4aN0M0, alive, 2845 days 47442.3
U0793 80 years, male, NA, stage:T3N1M1, dead, 195 days 46790.1
U0595 71 years, male, NA, stage:T2N0M0, alive, 2535 days 46121.9
U0147 78 years, female, NA, stage:T3N0M0, dead, 2085 days 45917.7
U0552 67 years, male, NA, stage:T3N2M0, alive, 1701 days 45389.0
U0212 77 years, male, NA, stage:T3N0M1, alive, 1330 days 45061.8
U0862 75 years, male, NA, stage:T4N2M1, dead, 1064 days 44367.2
U0128 86 years, female, NA, stage:T3N1M0, alive, 449 days 44358.7
U0804 66 years, female, NA, stage:T3N2M1, dead, 380 days 43435.4
U0088 86 years, male, NA, stage:T3N1M1, dead, 260 days 42998.0
U0594 71 years, male, NA, stage:T3N0M0, alive, 2852 days 42939.7
U0641 61 years, female, NA, stage:T3N0M0, dead, 1626 days 42939.6
U0140 80 years, male, NA, stage:T3N2M0, alive, 2655 days 42773.3
U0535 54 years, female, NA, stage:T4N1M0, alive, 2473 days 42137.0
U0666 59 years, male, NA, stage:T3N1M0, alive, 709 days 41853.4
U0468 38 years, female, NA, stage:T3N0M0, alive, 1921 days 41461.0
U0294 73 years, male, NA, stage:T4N0M1, alive, 561 days 40970.1
U0346 67 years, male, NA, stage:T4N2M0, alive, 1148 days 40934.1
U0284 73 years, male, NA, stage:T3N2M0, alive, 581 days 40694.6
U0431 59 years, female, NA, stage:T3N1M0, alive, 695 days 39617.5
U0542 68 years, male, NA, stage:T3N2M0, dead, 1482 days 39523.9
U0220 76 years, male, NA, stage:T2N0M0, alive, 1066 days 38995.3
U0194 79 years, male, NA, stage:T3N1M0, alive, 680 days 38479.6
U0498 72 years, female, NA, stage:T4N1M0, alive, 1906 days 38449.6
U0251 71 years, male, NA, stage:T2N0M0, alive, 1906 days 38447.2
U0568 59 years, male, NA, stage:T4N1M0, alive, 1287 days 38083.7
U0658 75 years, male, NA, stage:T3N2M0, alive, 1108 days 37897.9
U0578 42 years, male, NA, stage:T2N2M0, alive, 1724 days 37822.0
U0577 59 years, female, NA, stage:T3N2M0, alive, 2474 days 37724.2
U0861 62 years, female, NA, stage:T4N2M1, dead, 184 days 37095.6
U0848 86 years, male, NA, stage:T3N1M1, dead, 1185 days 36601.1
U0519 69 years, male, NA, stage:T4N2M0, dead, 519 days 35643.0
U0079 86 years, male, NA, stage:T4N2M0, dead, 1891 days 35558.0
U0587 47 years, male, NA, stage:T3N1M0, alive, 2107 days 35399.0
U0241 76 years, female, NA, stage:T2N1M0, alive, 552 days 35362.9
U0494 73 years, male, NA, stage:T4N2M0, alive, 1290 days 35221.6
U0539 66 years, male, NA, stage:T4N2M0, alive, 2017 days 35188.7
U0538 73 years, female, NA, stage:T3N1M0, alive, 1308 days 34899.0
U0508 70 years, male, NA, stage:T3N1M0, alive, 1120 days 34782.0
U0334 64 years, male, NA, stage:T3N1M0, alive, 3171 days 34770.3
U0803 68 years, female, NA, stage:T3N1M1, dead, 495 days 34768.1
U0228 76 years, male, NA, stage:T2N0M0, alive, 963 days 34578.6
U0584 66 years, male, NA, stage:T3N2M0, alive, 2705 days 34420.0
U0458 49 years, male, NA, stage:T3N2M0, alive, 1073 days 34340.8
U0116 85 years, male, NA, stage:T3N1M0, dead, 930 days 34269.2
U0364 67 years, female, NA, stage:T4N2M1, dead, 151 days 34065.4
U0485 74 years, male, NA, stage:T3N0M0, dead, 2737 days 34047.9
U0514 52 years, female, NA, stage:T2N2M0, alive, 2799 days 33623.9
U0805 65 years, male, NA, stage:T3N1M1, dead, 731 days 33214.4
U0600 72 years, male, NA, stage:T3N1M0, alive, 1659 days 33089.6
U0353 62 years, female, NA, stage:T1N0M0, alive, 2912 days 32908.9
U0192 76 years, male, NA, stage:T3N0M0, alive, 2081 days 32828.0
U0603 73 years, male, NA, stage:T2N1M0, alive, 1904 days 32635.4
U0331 64 years, male, NA, stage:T3N1M1, dead, 906 days 32524.0
U0581 66 years, female, NA, stage:T3N2M0, alive, 1660 days 32498.9
U0593 74 years, male, NA, stage:T4bN0M0, alive, 876 days 32138.0
U0857 76 years, male, NA, stage:T4N2M1, dead, 954 days 31787.4
U0592 90 years, female, NA, stage:T2N0M0, dead, 670 days 31767.9
U0406 58 years, female, NA, stage:T4N2M1, dead, 778 days 31676.8
U0640 64 years, male, NA, stage:T2N0M0, alive, 1696 days 31643.5
U0351 63 years, female, NA, stage:T3N2M0, alive, 2886 days 31594.3
U0213 71 years, male, NA, stage:T3N1M0, alive, 3018 days 31512.8
U0096 88 years, female, NA, stage:T4N2M1, dead, 257 days 31497.1
U0359 64 years, male, NA, stage:T3N2M0, dead, 2443 days 30894.3
U0434 54 years, male, NA, stage:T2N0M0, alive, 2558 days 30777.2
U0205 72 years, female, NA, stage:T3N2M0, alive, 2984 days 30706.7
U0605 74 years, male, NA, stage:T2N0M0, alive, 952 days 30617.3
U0155 77 years, male, NA, stage:T2N0M0, dead, 1672 days 30559.6
U0304 68 years, male, NA, stage:T3N2M0, alive, 2065 days 30500.5
U0322 67 years, male, NA, stage:T4N2M0, alive, 1694 days 30374.6
U0532 72 years, male, NA, stage:T3N0M0, dead, 730 days 30282.5
U0339 64 years, male, NA, stage:T3N2M0, alive, 2155 days 30063.3
U0750 64 years, female, NA, stage:T3N2M0, dead, 1393 days 29946.6
U0820 74 years, male, NA, stage:T3NXM1, dead, 622 days 29891.9
U0809 85 years, female, NA, stage:T3N1M1, dead, 275 days 29682.0
U0086 86 years, female, NA, stage:T3N1M0, dead, 594 days 29620.2
U0671 93 years, male, NA, stage:T3N1M0, dead, 785 days 29297.4
U0675 84 years, female, NA, stage:T4N1M0, dead, 89 days 29191.0
U0555 60 years, male, NA, stage:T3N2M0, alive, 2043 days 29160.2
U0561 68 years, female, NA, stage:T3N2M0, alive, 1577 days 28968.0
U0405 63 years, male, NA, stage:T3N1M0, alive, 829 days 28730.5
U0325 67 years, male, NA, stage:T3N0M0, dead, 1947 days 28591.3
U0649 67 years, male, NA, stage:T2N0M0, alive, 1424 days 28559.7
U0415 56 years, male, NA, stage:T3N1M0, alive, 2526 days 28412.0
U0654 72 years, male, NA, stage:T3N2M0, alive, 1220 days 28328.0
U0279 74 years, male, NA, stage:T2N1M0, dead, 176 days 28224.1
U0558 63 years, female, NA, stage:T3N2M0, alive, 2011 days 28151.1
U0562 58 years, female, NA, stage:T3N1M0, alive, 3092 days 28109.2
U0132 82 years, male, NA, stage:T3N1M0, alive, 1798 days 27791.8
U0865 72 years, female, NA, stage:T3N1M1, dead, 856 days 27592.1
U0466 40 years, male, NA, stage:T3N0M0, alive, 1381 days 27324.2
U0511 92 years, female, NA, stage:T3N0M0, dead, 2387 days 27313.4
U0276 73 years, male, NA, stage:T3N1M1, alive, 934 days 27167.3
U0572 67 years, female, NA, stage:T3N1M0, alive, 2621 days 26986.1
U0417 54 years, female, NA, stage:T3N2M1, dead, 893 days 26950.1
U0814 80 years, female, NA, stage:T3N1M1, dead, 482 days 26926.7
U0550 43 years, male, NA, stage:T3N2M0, alive, 2191 days 26747.2
U0374 65 years, female, NA, stage:T2N0M0, alive, 1067 days 26742.0
U0651 70 years, male, NA, stage:T3N0M0, alive, 1354 days 26614.5
U0380 62 years, male, NA, stage:T2N0M0, alive, 2155 days 26422.1
U0114 84 years, male, NA, stage:T3N0M0, alive, 1910 days 26389.6
U0388 61 years, male, NA, stage:T2N1M0, alive, 2186 days 26106.0
U0311 70 years, female, NA, stage:T3N1M0, alive, 1176 days 26000.1
U0238 73 years, male, NA, stage:T3N0M0, dead, 868 days 25808.8
U0409 61 years, female, NA, stage:T3N1M0, alive, 934 days 25747.6
U0418 60 years, male, NA, stage:T4N1M0, alive, 1246 days 25720.0
U0258 73 years, male, NA, stage:T4N1M2, dead, 195 days 25440.8
U0478 75 years, male, NA, stage:T4N2M0, alive, 2051 days 25334.3
U0553 68 years, female, NA, stage:T3N2M0, alive, 1704 days 25126.2
U0647 85 years, female, NA, stage:T3N0M0, alive, 1476 days 24808.8
U0713 63 years, male, NA, stage:T2N0M0, alive, 359 days 24804.5
U0391 64 years, female, NA, stage:T3N0M0, alive, 1179 days 24792.9
U0800 74 years, male, NA, stage:T3N2M1, dead, 411 days 24259.7
U0707 59 years, male, NA, stage:T3N1M0, alive, 518 days 24168.4
U0601 75 years, female, NA, stage:T4N1M0, alive, 1368 days 23810.8
U0802 70 years, male, NA, stage:T3N2M1, dead, 338 days 23804.3
U0557 51 years, female, NA, stage:T3N2M0, alive, 2009 days 23757.3
U0492 63 years, male, NA, stage:T3N2M0, alive, 1114 days 23726.2
U0648 65 years, female, NA, stage:T3N0M0, alive, 1415 days 23564.7
U0437 57 years, male, NA, stage:T1N1M0, alive, 849 days 23312.5
U0407 59 years, male, NA, stage:T3N1M0, dead, 2027 days 23309.0
U0097 83 years, male, NA, stage:T3N0M1, dead, 2903 days 23080.1
U0643 58 years, female, NA, stage:T2N1M0, dead, 1583 days 22950.2
U0565 84 years, male, NA, stage:T4N1M0, alive, 1452 days 22831.4
U2761 74 years, female, NA, stage:T3N1M0, alive, 447 days 22600.6
U0497 66 years, female, NA, stage:T3N1M0, alive, 1414 days 22422.8
U0652 76 years, male, NA, stage:T3N0M0, alive, 1319 days 22341.0
U0470 39 years, female, NA, stage:T2N2M0, alive, 961 days 21639.5
U0695 85 years, male, NA, stage:T3N0M0, alive, 566 days 21251.5
U0591 81 years, male, NA, stage:T2N0M0, alive, 1023 days 21003.0
U3023 63 years, female, NA, stage:T2N0M0, alive, 404 days 20962.8
U0282 70 years, male, NA, stage:T3N2M0, dead, 1869 days 20501.2
U0271 69 years, female, NA, stage:T3N1M0, alive, 2414 days 20311.0
U0645 60 years, male, NA, stage:T3N0M0, alive, 1567 days 20231.4
U0484 55 years, male, NA, stage:T4N2M0, alive, 1275 days 19857.6
U0293 67 years, male, NA, stage:T3N1M0, alive, 2717 days 19804.2
U0657 46 years, female, NA, stage:T2N0M0, dead, 1109 days 19748.2
U0650 57 years, female, NA, stage:T2N2M0, alive, 1331 days 19731.4
U0230 70 years, female, NA, stage:T1N1M0, alive, 3152 days 19476.4
U0232 71 years, female, NA, stage:T2N0M0, dead, 994 days 19431.9
U2991 77 years, female, NA, stage:T1N0M0, alive, 135 days 19301.0
U0371 62 years, female, NA, stage:T3N0M0, alive, 2688 days 19015.9
U0776 62 years, male, NA, stage:T4N2M0, alive, 1702 days 19008.7
U0190 75 years, male, NA, stage:T3N0M0, alive, 2367 days 18468.2
U0243 69 years, female, NA, stage:T3N2M0, alive, 2975 days 18367.8
U0423 55 years, female, NA, stage:T4N2M0, alive, 2735 days 18106.9
U0138 80 years, male, NA, stage:T3N1M0, dead, 2472 days 18020.2
U2834 70 years, male, NA, stage:T3N1M0, alive, 323 days 17907.1
U2960 52 years, male, NA, stage:T3N1M0, alive, 176 days 17785.4
U0604 67 years, male, NA, stage:T3N1M0, alive, 1522 days 17660.6
U0296 67 years, male, NA, stage:T3N0M0, alive, 2610 days 17654.2
U0137 80 years, male, NA, stage:T3N1M0, dead, 1799 days 17350.2
U2779 74 years, male, NA, stage:T3N0M0, alive, 419 days 16946.9
U0663 78 years, female, NA, stage:T3N1M0, alive, 762 days 16612.0
U0430 55 years, male, NA, stage:T3N2M0, dead, 2472 days 16504.7
U0343 69 years, female, NA, stage:T2N0M0, alive, 701 days 16499.4
U0305 66 years, male, NA, stage:T3N1M0, alive, 2676 days 16373.9
U0852 36 years, male, NA, stage:T3N2M1, alive, 1651 days 16193.5
U0422 56 years, female, NA, stage:T3N2M1, dead, 1710 days 15897.0
U0173 77 years, male, NA, stage:T2N0M0, dead, 2375 days 15839.5
U0457 50 years, male, NA, stage:T3N0M0, alive, 833 days 15707.4
U0656 68 years, male, NA, stage:T3N2M0, alive, 1150 days 15318.5
U0264 69 years, male, NA, stage:T4N2M0, alive, 2020 days 14605.8
U0077 86 years, female, NA, stage:T2N0M0, dead, 588 days 14150.9
U0080 86 years, female, NA, stage:T3N0M0, dead, 489 days 13887.2
U0402 58 years, female, NA, stage:T3N1M0, dead, 2487 days 13834.7
U0159 79 years, female, NA, stage:T3N1M0, alive, 1517 days 13726.1
U2943 79 years, male, NA, stage:T3N0M0, alive, 189 days 13721.6
U2764 65 years, male, NA, stage:T3N2M0, alive, 440 days 13217.6
U0638 52 years, male, NA, stage:T2N0M0, alive, 1801 days 13204.3
U0174 81 years, male, NA, stage:T3N0M0, alive, 450 days 12919.4
U0030 82 years, female, NA, stage:T2N0M0, dead, 987 days 12833.4
U0255 68 years, female, NA, stage:T3N2M0, dead, 1079 days 12603.4
U2836 87 years, male, NA, stage:T3N0M0, alive, 322 days 12524.4
U0001 69 years, female, NA, stage:T3N0M0, alive, 3188 days 12053.9
U2994 70 years, female, NA, stage:T4N1M0, alive, 132 days 12018.9
U3047 70 years, male, NA, stage:T3N2M0, alive, 205 days 11995.5
U2955 50 years, male, NA, stage:T3N1M0, alive, 181 days 11766.6
U0454 46 years, male, NA, stage:T3N1M0, alive, 2997 days 11422.4
U0120 80 years, female, NA, stage:T3N0M0, alive, 3233 days 10521.2
U0242 69 years, male, NA, stage:T3N0M0, alive, 2950 days 10461.7
U0118 81 years, female, NA, stage:T3N2M0, dead, 350 days 10409.3
U0534 69 years, female, NA, stage:T3N2M0, alive, 1361 days 8936.9
U0637 56 years, male, NA, stage:T3N1M0, alive, 1997 days 8775.3
U2972 91 years, male, NA, stage:T3N0M0, alive, 161 days 8634.9
U3049 72 years, male, NA, stage:T2N0M0, alive, 533 days 7041.1
U0216 72 years, male, NA, stage:T2N0M0, alive, 2684 days 6113.4
U0502 65 years, male, NA, stage:T4N1M0, alive, 1065 days 4485.5
U0093 85 years, male, NA, stage:T3N2M0, dead, 1118 days 4345.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples 197
Samples
Sample ID Sample type nRPX
8cc7e656-0152-4359-8566-0581c3 Tumor N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2 Normal N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3 Tumor N/A
d8805fa4-30f9-4417-907e-fdc50c_D2 Normal N/A
58a92726-4d1f-4e44-8938-52b97d_D3 Tumor N/A
591fb460-703a-437d-8d9a-ff2a35_D3 Tumor N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2 Tumor N/A
5a3aa99d-ca10-45f6-939f-12392a_D2 Normal N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2 Normal N/A
6797a69d-2f74-44b9-8147-cd4fac_D2 Normal N/A
ea6df59d-5240-4927-b19d-d44590_D2 Tumor N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3 Tumor N/A
b2978e90-cd2a-4665-b1bf-508a99_D2 Normal N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3 Tumor N/A
2167c594-c33f-4795-b95b-69bd07_D2 Tumor N/A
16ac8458-5200-4302-9ad0-b311df_D2 Normal N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2 Normal N/A
64ed43a2-f083-43cb-9d0d-118495_D2 Normal N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2 Normal N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3 Tumor N/A
526c3664-5b9b-4a2b-a00e-a14623_D2 Tumor N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2 Normal N/A
853ecf90-71e6-4156-a56f-a34b65_D2 Normal N/A
e070ff10-058b-4733-93ab-bdd702_D2 Normal N/A
092c5a37-325b-4181-b230-2d8fff_D2 Tumor N/A
154115ac-2ec2-439d-b55e-0464ee_D2 Normal N/A
963fc8db-f412-4427-a198-23f660_D2 Normal N/A
79097be1-cd36-4a23-99d1-3d744f_D2 Tumor N/A
8b9e4266-7754-4f2c-ac9e-329905_D2 Tumor N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2 Tumor N/A
e196a0b4-2a05-43de-bb30-ceb761_D2 Tumor N/A
54565eae-05c5-4dae-bde9-ae4874_D2 Normal N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3 Tumor N/A
47d2a435-b203-4438-ae72-53c424_D2 Normal N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2 Normal N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2 Normal N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2 Tumor N/A
bc574f73-89ba-44d7-992e-82622c_D3 Tumor N/A
82157a70-12f1-4913-b548-d98881_D2 Normal N/A
573048dd-2502-40e0-8e8c-c41bb8_D3 Tumor N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2 Normal N/A
6e20c8e9-ab75-4996-9296-445b00_D2 Tumor N/A
c7aeb685-31b3-445e-8177-a3e729_D3 Tumor N/A
8af80ae9-2088-4124-91fb-8d6c17_D3 Tumor N/A
cd89ffbb-574a-4052-bd9a-00c890_D2 Tumor N/A
c1b66358-d103-493c-b8ec-92c43b_D1 Tumor N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3 Tumor N/A
e3c012aa-51c2-42b0-a478-bd620f_D2 Normal N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3 Tumor N/A
b2400046-1d25-429d-a821-6040a6 Tumor N/A
2b810478-7956-4a8b-870d-184859_D2 Tumor N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8 Tumor N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3 Tumor N/A
87b0e853-43ea-4efb-8a22-dd221f_D2 Normal N/A
5557e478-3e6f-475b-8acc-1b4159_D8 Tumor N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3 Tumor N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2 Normal N/A
62627b73-1763-48bc-8eea-e5bd76_D2 Normal N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2 Tumor N/A
e2e83b72-b14b-4b06-9461-1115d6_D2 Tumor N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3 Tumor N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2 Normal N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8 Tumor N/A
1c070992-647b-4173-a481-904c4d_D2 Normal N/A
5de06adb-e00d-4114-8d76-04bd30_D2 Normal N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3 Tumor N/A
26acb513-3ffe-49ad-8581-9dfc97_D2 Normal N/A
c307b7b0-534a-45fa-a420-35f773_D2 Normal N/A
5e886f1c-8165-4232-9591-d80799_D2 Normal N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2 Tumor N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8 Tumor N/A
2666323d-522f-4f0a-823c-ff8866_D2 Normal N/A
8c73f3a5-fea8-4942-90c0-966f66_D3 Tumor N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3 Tumor N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2 Normal N/A
067db520-1b1f-4569-9414-e37a6e_D2 Normal N/A
23e938d0-92b8-4aea-90c1-4385df_D2 Normal N/A
21cab01c-e968-42cc-9651-1e53c0_D3 Tumor N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2 Normal N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2 Tumor N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2 Normal N/A
a467b905-fc0b-427b-8753-6d38dd_D3 Tumor N/A
f6afe41c-111d-4818-8485-fe95e0_D2 Tumor N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2 Normal N/A
3d797911-d476-436f-9cce-33e20c_D8 Tumor N/A
b4e91300-405e-4239-b8da-5e1a42_D2 Tumor N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2 Normal N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2 Tumor N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3 Tumor N/A
176d1b96-8c6e-44fe-8a32-e15194_D2 Normal N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2 Normal N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2 Normal N/A
e515eb5c-8005-416a-9b42-59de9d_D8 Tumor N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2 Tumor N/A
d80408d6-598d-4411-ab34-eb2545_D2 Normal N/A
799893aa-d523-4a08-9ea7-611cca_D3 Tumor N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2 Tumor N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2 Tumor N/A
a84149b1-8453-45f0-8400-d7b12f_D2 Normal N/A
41a04113-2061-4923-bca5-da586c_D2 Normal N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2 Normal N/A
df479b07-bbf6-472d-a580-c3fd0c_D2 Normal N/A
a313f6ef-5994-4d49-9e66-c26911_D2 Normal N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2 Tumor N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2 Normal N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3 Tumor N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2 Normal N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2 Normal N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2 Normal N/A
e1cd3d70-132b-452f-ba10-026721_D2 Tumor N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3 Tumor N/A
3a17283c-a0f4-4514-956b-080d11_D2 Normal N/A
66b57abc-0d49-46bb-a390-0e11a9_D2 Tumor N/A
efee6bb9-69dd-46c2-85b3-b55962_D2 Normal N/A
02cde0c0-6840-495b-9b11-007d82_D2 Normal N/A
974e136f-7020-4a38-b9c1-094df9_D2 Normal N/A
903d5fe0-970a-47be-a97f-3cc914_D2 Normal N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2 Tumor N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2 Normal N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2 Normal N/A
cbd0e774-c741-4753-9c9e-391a7d_D2 Normal N/A
1136008b-97ce-49b0-bf24-abbea6_D2 Normal N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2 Normal N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2 Normal N/A
694e8df1-d9ee-473b-bec1-4f9237_D2 Normal N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2 Normal N/A
820a3f08-5bb1-44b3-a133-ee167e_D2 Tumor N/A
bed27f66-ef3b-4868-b4ad-205018_D2 Normal N/A
3765c09a-fff7-4b37-bf2b-452b23_D2 Normal N/A
411d9597-c785-4de5-b449-29a80d_D2 Normal N/A
0d5554d1-1653-4589-a44f-43113e_D2 Normal N/A
b3696374-c6c0-49dd-833e-596e26_D2 Normal N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3 Tumor N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2 Normal N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3 Tumor N/A
43192517-085e-450e-9481-0a6713_D3 Tumor N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3 Tumor N/A
a27cf22d-836e-49a7-802f-47c1db_D2 Normal N/A
372c900a-fced-4eef-9dc4-7282ec_D2 Tumor N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2 Normal N/A
359f5c81-2575-497e-8630-e4866f_D2 Normal N/A
da747cee-5026-4923-af63-ad9f81_D2 Normal N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2 Normal N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3 Tumor N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2 Tumor N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2 Normal N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3 Tumor N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3 Tumor N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2 Normal N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8 Tumor N/A
87408d9e-4029-4e8f-b14c-8efc04_D3 Tumor N/A
4b263734-430f-41dc-a296-8691f0_D3 Tumor N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2 Normal N/A
bd67de01-ad7d-431a-9ad6-4dd5a1 Tumor N/A
a243b765-61ab-4aa6-88e1-226896_D2 Normal N/A
e74089a9-f78c-4ffe-8174-aef71b_D2 Normal N/A
b4dd4a04-5eda-43dd-8298-215b07_D3 Tumor N/A
c65afd57-530c-4366-b2c8-463a46_D2 Tumor N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2 Normal N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2 Normal N/A
348f6009-e1be-44d2-a093-9ca844_D2 Normal N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3 Tumor N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2 Normal N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3 Tumor N/A
0f238226-864c-4de0-8c61-01e729_D2 Tumor N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2 Tumor N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2 Normal N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2 Normal N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3 Tumor N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8 Tumor N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3 Tumor N/A
c2c53076-b5db-4b7d-983c-a35740_D3 Tumor N/A
3e8019e8-125f-4615-a1fa-a448e9_D2 Normal N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3 Tumor N/A
1bf00d93-240f-47e8-8055-f546b0_D2 Normal N/A
f635496c-0046-4ecd-89bc-7a4f33_D2 Tumor N/A
bda3787a-1397-4716-bb17-4992a8_D2 Normal N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2 Normal N/A
321fb3b2-ebb6-4ea5-b737-081264_D2 Tumor N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3 Tumor N/A
65867ab1-5eab-44a8-b2bb-d27263_D2 Normal N/A
059a7065-3a5f-4eea-97e5-85ab01_D2 Normal N/A
1563ef63-d2e6-406f-adc1-255949_D3 Tumor N/A
695b0b00-a86b-43c0-a6c8-50a840_D3 Tumor N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2 Tumor N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2 Tumor N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2 Normal N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2 Normal N/A
377cdd37-d1bd-4042-997e-478a0f_D2 Normal N/A
233ec093-9a30-4ef4-a12c-91757e_D2 Normal N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3 Tumor N/A
0c330883-ab58-4a5a-bff7-07d283_D2 Normal N/A
d3078fa8-0692-411f-8441-0c7c48_D8 Tumor N/A
37219a7c-6fe2-4684-a494-d0be08_D2 Tumor N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2 Tumor N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2 Normal N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2 Normal N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni

A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.

Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.

 

Antibody stainingi

Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.

Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.


Antibody HPA042788
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Adenocarcinoma, NOS

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