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MT-ATP6
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  • MT-ATP6
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
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-ATP6 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.

: 17862.3
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 13084.4
Number of samples 254
Samples
Sample Description pTPM
TCGA-DM-A282-01A 60 years, female, white, stage:Stage IIA, alive, 4233 days 52487.1
TCGA-A6-6782-01A 82 years, male, white, stage:Stage IIB, alive, 617 days 40196.9
TCGA-DM-A1D4-01A 80 years, male, white, stage:Stage IIA, dead, 2821 days 39515.5
TCGA-DM-A28G-01A 75 years, male, white, stage:Stage IIA, dead, 1849 days 37928.4
TCGA-DM-A1D9-01A 67 years, female, white, stage:Stage IIA, alive, 4270 days 37502.6
TCGA-NH-A50V-01A 69 years, male, black or african american, stage:Stage IIIB, alive, 588 days 35076.0
TCGA-DM-A0XD-01A 65 years, male, white, stage:Stage IIA, dead, 743 days 34591.6
TCGA-AA-3511-01A 64 years, male, stage:Stage II, alive, 212 days 33801.6
TCGA-AZ-6598-01A 77 years, female, white, stage:Stage II, dead, 1503 days 31472.8
TCGA-DM-A1D8-01A 50 years, female, white, stage:'--, dead, 383 days 31380.9
TCGA-DM-A28H-01A 50 years, male, white, stage:Stage IIIC, alive, 3561 days 30112.2
TCGA-DM-A28C-01A 74 years, male, white, stage:Stage IIA, dead, 2475 days 29953.5
TCGA-QG-A5Z1-01A 71 years, male, black or african american, stage:Stage IIIB, dead, 256 days 29715.2
TCGA-DM-A285-01A 71 years, female, white, stage:Stage IV, dead, 179 days 27027.1
TCGA-DM-A1D0-01A 79 years, female, white, stage:Stage IIA, alive, 3974 days 25639.4
TCGA-DM-A0X9-01A 71 years, female, white, stage:Stage IIA, alive, 3641 days 25578.3
TCGA-DM-A1D6-01A 88 years, male, white, stage:Stage IIA, dead, 570 days 24852.8
TCGA-F4-6809-01A 52 years, female, white, stage:Stage IVA, dead, 403 days 24830.4
TCGA-D5-6541-01A 49 years, male, white, stage:Stage IIA, alive, 474 days 24692.0
TCGA-G4-6294-01A 75 years, male, white, stage:Stage IV, dead, 858 days 24635.0
TCGA-DM-A28M-01A 63 years, male, white, stage:Stage IIA, alive, 2895 days 24532.1
TCGA-G4-6323-01A 50 years, male, black or african american, stage:Stage IA, alive, 419 days 23559.7
TCGA-DM-A280-01A 70 years, female, white, stage:Stage IIA, dead, 236 days 22860.3
TCGA-AZ-6603-01A 77 years, female, white, stage:'--, dead, 899 days 22375.3
TCGA-A6-6141-01A 31 years, male, black or african american, stage:Stage IIA, alive, 255 days 22269.4
TCGA-F4-6460-01A 51 years, female, white, stage:Stage IIIB, dead, 972 days 22200.5
TCGA-AU-6004-01A 69 years, female, white, stage:Stage I, alive, 824 days 22042.9
TCGA-AY-A54L-01A 74 years, female, black or african american, stage:Stage I, alive, 525 days 22001.4
TCGA-A6-A565-01A 34 years, female, black or african american, stage:Stage IIIC, dead, 494 days 21617.2
TCGA-CM-6163-01A 74 years, male, white, stage:Stage I, alive, 427 days 21572.2
TCGA-G4-6310-01A 69 years, male, white, stage:Stage IIIB, alive, 1935 days 21476.9
TCGA-D5-6538-01A 79 years, female, white, stage:Stage IIIB, alive, 521 days 21462.8
TCGA-F4-6461-01A 41 years, female, white, stage:Stage IIIC, dead, 338 days 21428.4
TCGA-4T-AA8H-01A 42 years, female, black or african american, stage:Stage IIA, alive, 385 days 21328.4
TCGA-DM-A1HB-01A 75 years, male, white, stage:Stage IIIB, alive, 4126 days 21101.6
TCGA-AA-3662-01A 80 years, female, stage:Stage IV, alive, 184 days 21069.0
TCGA-D5-6533-01A 68 years, female, white, stage:'--, alive, 775 days 21052.7
TCGA-AZ-6608-01A 55 years, female, white, stage:Stage IIIA, dead, 59 days 20761.1
TCGA-AA-A02K-01A 50 years, male, stage:Stage IV, dead, 426 days 20722.1
TCGA-CM-5349-01A 68 years, female, white, stage:Stage IIA, alive, 915 days 20717.0
TCGA-DM-A1D7-01A 82 years, male, white, stage:Stage IIA, dead, 405 days 20686.3
TCGA-CA-5255-01A 45 years, male, asian, stage:Stage IIA, alive, 376 days 20131.4
TCGA-5M-AATE-01A 76 years, male, black or african american, stage:Stage IIA, alive, 1200 days 19998.8
TCGA-A6-A5ZU-01A 59 years, male, black or african american, stage:Stage IIIB, alive, 293 days 19566.6
TCGA-A6-A56B-01A 57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days 19527.3
TCGA-4N-A93T-01A 67 years, male, black or african american, stage:Stage IIIB, alive, 146 days 19523.5
TCGA-F4-6808-01A 54 years, female, white, stage:Stage I, alive, 1024 days 19392.2
TCGA-D5-6535-01A 80 years, female, white, stage:Stage IIIB, alive, 460 days 19030.5
TCGA-A6-A566-01A 55 years, female, black or african american, stage:Stage IIIB, dead, 758 days 18726.3
TCGA-G4-6627-01A 84 years, male, white, stage:Stage IIA, alive, 2175 days 18628.9
TCGA-CM-5348-01A 72 years, male, white, stage:Stage IIIB, alive, 699 days 18611.7
TCGA-CM-5344-01A 39 years, female, white, stage:Stage IIIB, alive, 670 days 18568.8
TCGA-A6-A567-01A 56 years, male, black or african american, stage:Stage IV, dead, 1881 days 18162.0
TCGA-DM-A1DA-01A 71 years, female, white, stage:Stage IIIC, dead, 228 days 18044.7
TCGA-AZ-6599-01A 72 years, male, white, stage:Stage I, dead, 206 days 17966.0
TCGA-AA-3496-01A 83 years, female, stage:Stage II, alive, 31 days 17758.7
TCGA-G4-6321-01A 60 years, female, white, stage:Stage III, alive, 672 days 17688.4
TCGA-CM-6165-01A 74 years, male, white, stage:Stage IIA, alive, 488 days 17468.9
TCGA-QG-A5YW-01A 55 years, female, black or african american, stage:Stage IIIC, alive, 896 days 17417.5
TCGA-G4-6625-01A 77 years, female, white, stage:Stage IIA, alive, 2792 days 17225.4
TCGA-G4-6311-01A 80 years, male, white, stage:Stage III, alive, 1199 days 17138.6
TCGA-F4-6806-01A 59 years, female, white, stage:Stage I, alive, 1260 days 17015.7
TCGA-DM-A0XF-01A 68 years, female, white, stage:Stage IIIC, dead, 1162 days 16998.3
TCGA-NH-A6GB-01A 71 years, female, black or african american, stage:Stage IIIC, alive, 476 days 16801.0
TCGA-QL-A97D-01A 84 years, female, black or african american, stage:Stage I, alive, 666 days 16746.3
TCGA-AY-A8YK-01A 44 years, male, black or african american, stage:Stage IVA, alive, 573 days 16373.3
TCGA-G4-6306-01A 71 years, male, white, stage:'--, alive, 1359 days 16339.1
TCGA-AZ-4616-01A 82 years, female, white, stage:Stage IV, dead, 156 days 16328.7
TCGA-D5-6531-01A 75 years, male, white, stage:Stage IIA, alive, 540 days 16248.7
TCGA-D5-6539-01A 45 years, female, white, stage:'--, alive, 380 days 16216.3
TCGA-A6-6650-01A 69 years, female, black or african american, stage:Stage IIA, alive, 627 days 16059.2
TCGA-CM-4751-01A 62 years, male, white, stage:Stage IIIB, alive, 822 days 16050.3
TCGA-DM-A1DB-01A 68 years, male, white, stage:Stage IIA, dead, 1348 days 15541.4
TCGA-G4-6293-01A 49 years, female, white, stage:Stage III, alive, 4051 days 15459.8
TCGA-NH-A8F7-01A 53 years, female, black or african american, stage:Stage IIA, alive, 543 days 15439.9
TCGA-F4-6807-01A 51 years, female, white, stage:Stage IIIC, alive, 1309 days 15334.3
TCGA-DM-A1HA-01A 82 years, male, white, stage:Stage IIIC, alive, 2600 days 15267.6
TCGA-DM-A28E-01A 72 years, female, white, stage:Stage IIA, alive, 3648 days 15258.9
TCGA-AA-3697-01A 77 years, male, stage:Stage II, alive, 2587 days 15204.9
TCGA-G4-6320-01A 73 years, male, white, stage:Stage III, alive, 804 days 15187.5
TCGA-AU-3779-01A 80 years, female, white, stage:Stage IIA, alive, 441 days 15163.4
TCGA-A6-6142-01A 56 years, female, white, stage:Stage IVA, alive, 763 days 15154.1
TCGA-AZ-6605-01A 77 years, male, white, stage:Stage IIIB, dead, 159 days 15038.7
TCGA-CK-6751-01A 88 years, female, white, stage:Stage I, alive, 518 days 15032.9
TCGA-NH-A8F8-01A 79 years, male, black or african american, stage:Stage IV, dead, 511 days 14977.0
TCGA-CK-5912-01A 81 years, male, white, stage:Stage I, dead, 1493 days 14950.0
TCGA-G4-6586-01A 73 years, female, white, stage:Stage IIA, alive, 1089 days 14921.0
TCGA-AY-6197-01A 60 years, male, white, stage:Stage IIA, alive, 652 days 14822.2
TCGA-AA-3655-01A 68 years, male, stage:Stage II, alive, 1856 days 14745.4
TCGA-A6-6649-01A 66 years, male, white, stage:Stage IIIB, alive, 735 days 14712.6
TCGA-NH-A50T-01A 68 years, female, black or african american, stage:Stage IIA, alive, 553 days 14695.5
TCGA-AM-5820-01A 59 years, female, white, stage:Stage IVA, alive, 14 days 14550.0
TCGA-A6-6137-01A 55 years, male, white, stage:Stage IIIB, alive, 824 days 14545.8
TCGA-AA-3713-01A 68 years, male, stage:Stage IV, alive, 579 days 14200.1
TCGA-AY-5543-01A 65 years, female, black or african american, stage:Stage IVA, alive, 1004 days 13956.3
TCGA-CM-6170-01A 73 years, female, white, stage:Stage I, alive, 457 days 13942.2
TCGA-RU-A8FL-01A 51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days 13851.8
TCGA-F4-6459-01A 61 years, female, white, stage:Stage IIIB, dead, 262 days 13814.3
TCGA-AA-3660-01A 51 years, female, stage:Stage II, alive, 2375 days 13720.9
TCGA-CM-6678-01A 63 years, female, white, stage:Stage IVA, alive, 335 days 13663.0
TCGA-D5-6530-01A 53 years, male, white, stage:Stage I, alive, 621 days 13644.2
TCGA-CM-5861-01A 63 years, female, white, stage:Stage IIA, alive, 457 days 13567.5
TCGA-G4-6588-01A 58 years, female, white, stage:Stage IIA, alive, 796 days 13481.4
TCGA-CM-5868-01A 59 years, female, white, stage:Stage IVA, alive, 518 days 13442.0
TCGA-CM-4743-01A 69 years, male, white, stage:Stage IIA, alive, 701 days 13424.8
TCGA-D5-6536-01A 73 years, male, white, stage:Stage IIA, alive, 543 days 13305.0
TCGA-AY-A71X-01A 54 years, female, black or african american, stage:Stage I, alive, 588 days 13241.4
TCGA-AD-6963-01A 58 years, male, white, stage:'--, alive, 834 days 13216.2
TCGA-CK-6748-01A 45 years, female, white, stage:Stage IV, alive, 61 days 13195.9
TCGA-T9-A92H-01A 82 years, male, black or african american, stage:Stage IIA, alive, 362 days 13086.5
TCGA-A6-2675-01A 78 years, male, white, stage:Stage IIA, alive, 1321 days 13061.1
TCGA-NH-A50U-01A 42 years, male, black or african american, stage:Stage IVA, dead, 334 days 13043.1
TCGA-CM-6172-01A 70 years, female, white, stage:Stage IIIB, alive, 335 days 13029.9
TCGA-A6-6140-01A 62 years, male, white, stage:Stage IIA, alive, 734 days 12905.6
TCGA-G4-6626-01A 90 years, male, white, stage:Stage IIA, dead, 1 days 12795.5
TCGA-CM-6679-01A 58 years, male, white, stage:Stage IIA, alive, 306 days 12687.8
TCGA-AA-3489-01A 75 years, male, stage:Stage II, dead, 214 days 12547.1
TCGA-AZ-6606-01A 81 years, male, white, stage:Stage IV, dead, 357 days 12468.0
TCGA-CK-6747-01A 87 years, female, white, stage:Stage IIA, alive, 820 days 12398.5
TCGA-F4-6463-01A 51 years, male, white, stage:Stage IIA, alive, 1087 days 12352.7
TCGA-QG-A5YX-01A 61 years, female, black or african american, stage:Stage IIA, alive, 1003 days 12261.2
TCGA-CK-4950-01A 68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days 12242.0
TCGA-D5-6540-01A 66 years, male, white, stage:Stage I, alive, 491 days 12080.0
TCGA-CM-6171-01A 77 years, female, white, stage:Stage I, alive, 427 days 11908.0
TCGA-G4-6315-01A 66 years, male, white, stage:Stage IV, alive, 1883 days 11893.7
TCGA-A6-5659-01A 82 years, male, white, stage:Stage I, alive, 926 days 11832.8
TCGA-A6-6652-01A 59 years, male, black or african american, stage:Stage IVA, alive, 751 days 11690.6
TCGA-CM-6675-01A 35 years, male, black or african american, stage:Stage IVB, alive, 397 days 11562.9
TCGA-CM-5863-01A 60 years, female, white, stage:Stage IIIB, alive, 457 days 11558.1
TCGA-AA-A02Y-01A 73 years, male, stage:Stage I, alive, 1216 days 11436.9
TCGA-CM-5864-01A 60 years, male, white, stage:Stage I, alive, 457 days 11364.3
TCGA-CM-6674-01A 39 years, male, white, stage:Stage IIA, alive, 394 days 11357.3
TCGA-D5-6932-01A 69 years, male, white, stage:Stage IIA, alive, 346 days 11282.1
TCGA-DM-A288-01A 68 years, male, white, stage:Stage IIIC, dead, 427 days 11266.0
TCGA-A6-6654-01A 65 years, female, white, stage:Stage IIIB, alive, 726 days 11256.8
TCGA-AD-6889-01A 76 years, male, asian, stage:Stage IIA, dead, 2532 days 11153.1
TCGA-QG-A5Z2-01A 61 years, male, black or african american, stage:Stage I, alive, 952 days 11143.8
TCGA-A6-6648-01A 56 years, male, white, stage:Stage IVA, alive, 766 days 11071.0
TCGA-G4-6297-01A 55 years, female, white, stage:Stage IV, alive, 2506 days 11030.6
TCGA-D5-7000-01A 79 years, female, white, stage:Stage I, alive, 312 days 10839.4
TCGA-A6-6138-01A 61 years, male, white, stage:Stage I, alive, 685 days 10825.2
TCGA-CK-5913-01A 58 years, female, white, stage:Stage IIA, alive, 1561 days 10753.0
TCGA-5M-AAT6-01A 40 years, female, black or african american, stage:Stage IV, dead, 290 days 10596.8
TCGA-NH-A6GC-01A 66 years, female, black or african american, stage:Stage IVB, alive, 389 days 10593.0
TCGA-AZ-4323-01A 37 years, male, white, stage:Stage IV, dead, 43 days 10587.3
TCGA-G4-6314-01A 76 years, female, white, stage:Stage IV, alive, 1093 days 10569.0
TCGA-A6-4105-01A 79 years, male, white, stage:Stage IIA, dead, 442 days 10474.7
TCGA-3L-AA1B-01A 61 years, female, black or african american, stage:Stage I, alive, 475 days 10424.5
TCGA-A6-5667-01A 40 years, female, white, stage:Stage IIIB, alive, 887 days 10389.4
TCGA-5M-AAT4-01A 74 years, male, black or african american, stage:Stage IV, dead, 49 days 10382.4
TCGA-CM-6169-01A 67 years, male, black or african american, stage:Stage IIA, alive, 396 days 10376.8
TCGA-A6-6651-01A 55 years, female, white, stage:Stage IIIB, alive, 662 days 10233.4
TCGA-AY-A69D-01A 55 years, female, black or african american, stage:Stage IIA, alive, 543 days 10203.5
TCGA-CM-6167-01A 57 years, female, black or african american, stage:Stage IIIC, alive, 456 days 10171.7
TCGA-G4-6307-01A 37 years, female, white, stage:Stage IIIB, alive, 1674 days 10117.0
TCGA-DM-A28F-01A 73 years, male, white, stage:Stage IIIB, dead, 1094 days 10088.2
TCGA-QG-A5YV-01A 64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days 9941.8
TCGA-G4-6299-01A 69 years, male, white, stage:Stage IIIC, alive, 2268 days 9933.4
TCGA-CA-6717-01A 57 years, male, asian, stage:Stage IIA, alive, 388 days 9870.9
TCGA-G4-6309-01A 40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days 9762.6
TCGA-WS-AB45-01A 52 years, female, black or african american, stage:Stage IIA, alive, 2130 days 9723.7
TCGA-F4-6704-01A 60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days 9703.1
TCGA-CM-6677-01A 75 years, female, white, stage:Stage IIA, alive, 337 days 9665.5
TCGA-F4-6570-01A 78 years, female, white, stage:Stage IIA, dead, 188 days 9616.2
TCGA-CA-6716-01A 65 years, male, asian, stage:Stage IIA, alive, 371 days 9483.3
TCGA-CK-5914-01A 81 years, male, white, stage:Stage IIIB, alive, 669 days 9338.3
TCGA-D5-6529-01A 69 years, male, white, stage:Stage IIA, alive, 614 days 9198.7
TCGA-A6-6653-01A 82 years, male, white, stage:Stage I, alive, 742 days 9127.6
TCGA-AD-6548-01A 81 years, female, white, stage:Stage I, alive, 650 days 9120.2
TCGA-CM-6161-01A 36 years, female, white, stage:Stage I, alive, 457 days 9101.2
TCGA-F4-6569-01A 60 years, male, white, stage:Stage I, alive, 1087 days 9020.2
TCGA-AY-6196-01A 47 years, male, white, stage:Stage IIIC, alive, 6 days 8872.8
TCGA-D5-5539-01A 60 years, male, white, stage:Stage IIIA, alive, 596 days 8809.5
TCGA-A6-5665-01A 84 years, female, white, stage:Stage IIA, alive, 671 days 8765.0
TCGA-F4-6854-01A 77 years, female, white, stage:Stage IIA, alive, 16 days 8731.1
TCGA-D5-6926-01A 65 years, male, white, stage:Stage IIIB, alive, 275 days 8728.9
TCGA-CM-5862-01A 80 years, male, white, stage:Stage IVA, dead, 153 days 8605.7
TCGA-CM-6168-01A 84 years, female, black or african american, stage:Stage IIA, alive, 395 days 8602.4
TCGA-AZ-6601-01A 68 years, male, white, stage:Stage II, dead, 3042 days 8585.1
TCGA-CM-6676-01A 82 years, male, white, stage:Stage I, alive, 337 days 8547.4
TCGA-CA-5797-01A 56 years, male, asian, stage:Stage IIA, alive, 383 days 8520.6
TCGA-CM-6680-01A 78 years, female, white, stage:Stage IIIB, alive, 366 days 8500.8
TCGA-D5-6923-01A 57 years, male, white, stage:Stage I, alive, 378 days 8451.5
TCGA-DM-A28K-01A 75 years, male, white, stage:Stage IIA, alive, 2988 days 8395.3
TCGA-CK-5916-01A 71 years, female, white, stage:Stage I, dead, 643 days 8389.6
TCGA-CM-6164-01A 46 years, female, white, stage:Stage IIA, alive, 883 days 8386.7
TCGA-CA-5254-01A 42 years, female, asian, stage:Stage IIA, alive, 386 days 8382.6
TCGA-G4-6322-01A 65 years, male, white, stage:Stage IIIB, alive, 792 days 8309.7
TCGA-CK-4952-01A 48 years, female, white, stage:Stage IIIC, alive, 475 days 8283.4
TCGA-SS-A7HO-01A 44 years, female, black or african american, stage:Stage IIB, alive, 1829 days 8265.3
TCGA-A6-5664-01A 80 years, male, black or african american, stage:Stage IIIC, alive, 672 days 8143.2
TCGA-D5-6532-01A 61 years, male, white, stage:Stage IIA, alive, 555 days 7933.9
TCGA-D5-5537-01A 83 years, male, white, stage:'--, dead, 1381 days 7695.2
TCGA-F4-6805-01A 58 years, female, white, stage:Stage IIA, alive, 1047 days 7481.8
TCGA-G4-6304-01A 66 years, female, white, stage:Stage IIB, alive, 1631 days 7464.5
TCGA-F4-6703-01A 64 years, male, white, stage:Stage IIA, alive, 1456 days 7348.1
TCGA-G4-6295-01A 70 years, female, white, stage:Stage II, alive, 254 days 7340.9
TCGA-AD-6901-01A 78 years, male, white, stage:'--, dead, 682 days 7266.5
TCGA-CA-6715-01A 63 years, male, asian, stage:Stage IIIB, alive, 383 days 7249.5
TCGA-D5-6922-01A 76 years, male, white, stage:Stage IIIA, alive, 308 days 7222.6
TCGA-CA-6719-01A 77 years, male, asian, stage:Stage IIA, alive, 435 days 7135.4
TCGA-AD-A5EK-01A 51 years, male, black or african american, stage:Stage I, alive, 500 days 6971.3
TCGA-D5-6920-01A 77 years, female, white, stage:Stage IIA, alive, 377 days 6775.4
TCGA-AD-5900-01A 67 years, male, white, stage:Stage I, alive, 370 days 6747.5
TCGA-CM-6162-01A 48 years, female, white, stage:Stage IIIB, alive, 365 days 6689.0
TCGA-A6-5660-01A 73 years, male, black or african american, stage:Stage IIIC, alive, 888 days 6630.1
TCGA-G4-6303-01A 54 years, female, white, stage:Stage IV, dead, 2003 days 6417.0
TCGA-AZ-6607-01A 69 years, male, white, stage:Stage IV, dead, 97 days 6136.4
TCGA-CM-6166-01A 48 years, female, white, stage:Stage I, alive, 669 days 6104.0
TCGA-D5-6898-01A 51 years, female, white, stage:Stage I, alive, 229 days 6070.0
TCGA-D5-6534-01A 62 years, female, white, stage:Stage IIA, alive, 1316 days 5865.6
TCGA-G4-6317-01A 51 years, female, white, stage:Stage IIIC, alive, 1095 days 5824.7
TCGA-F4-6855-01A 70 years, female, white, stage:Stage IIA, alive, 1442 days 5710.0
TCGA-AY-6386-01A 66 years, female, black or african american, stage:Stage IIIB, alive, 542 days 5678.7
TCGA-AD-6899-01A 84 years, male, white, stage:Stage IIIC, dead, 176 days 5467.6
TCGA-AA-3675-01A 84 years, male, stage:Stage II, alive, 1431 days 5454.8
TCGA-AD-6964-01A 58 years, male, white, stage:'--, dead, 331 days 5434.1
TCGA-AA-3526-01A 57 years, male, stage:Stage I, alive, 580 days 5375.3
TCGA-AZ-6600-01A 64 years, male, black or african american, stage:Stage IV, dead, 368 days 5324.2
TCGA-AZ-5407-01A 51 years, female, white, stage:Stage I, alive, 2683 days 5209.7
TCGA-A6-5657-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 962 days 5004.0
TCGA-A6-5661-01A 80 years, female, black or african american, stage:Stage IIA, alive, 1020 days 4897.7
TCGA-G4-6628-01A 78 years, male, white, stage:Stage I, alive, 2424 days 4894.3
TCGA-NH-A6GA-01A 58 years, male, black or african american, stage:Stage IIIC, dead, 302 days 4878.3
TCGA-CA-6718-01A 46 years, male, asian, stage:Stage IIA, dead, 306 days 4874.3
TCGA-D5-6931-01A 77 years, male, white, stage:Stage IIIC, alive, 365 days 4818.7
TCGA-D5-5538-01A 60 years, female, white, stage:Stage IIIB, dead, 1661 days 4672.2
TCGA-A6-5662-01A 46 years, male, white, stage:Stage IVA, alive, 718 days 4514.8
TCGA-DM-A28A-01A 78 years, male, white, stage:Stage IIIC, dead, 805 days 4374.2
TCGA-AD-6895-01A 84 years, male, white, stage:Stage IIIB, alive, 763 days 4319.2
TCGA-D5-6930-01A 67 years, male, white, stage:Stage IIA, alive, 406 days 4288.4
TCGA-D5-6537-01A 64 years, male, white, stage:Stage IIIB, dead, 146 days 4274.6
TCGA-AZ-5403-01A 43 years, male, white, stage:Stage II, dead, 1910 days 4199.2
TCGA-AA-3663-01A 42 years, male, stage:Stage II, alive, 212 days 4089.7
TCGA-AD-6890-01A 65 years, male, white, stage:'--, alive, 746 days 4042.9
TCGA-A6-2686-01A 81 years, female, white, stage:Stage IIA, dead, 1126 days 3335.8
TCGA-AD-6888-01A 73 years, male, white, stage:Stage IIIB, dead, 472 days 3271.2
TCGA-D5-6929-01A 49 years, female, white, stage:Stage IV, alive, 408 days 2923.7
TCGA-D5-6927-01A 34 years, male, white, stage:Stage IIA, alive, 287 days 2816.5
TCGA-AM-5821-01A 68 years, female, white, stage:Stage IIA, alive, 28 days 2616.3
TCGA-CM-5860-01A 44 years, male, white, stage:Stage IIA, alive, 974 days 2557.2
TCGA-AA-3685-01A 69 years, male, stage:Stage II, alive, 1127 days 2365.8
TCGA-D5-6928-01A 80 years, male, white, stage:Stage IIA, alive, 354 days 2315.3
TCGA-CM-4744-01A 69 years, male, white, stage:Stage I, alive, 609 days 2218.2
TCGA-F4-6856-01A 45 years, male, white, stage:Stage I, alive, 1074 days 2024.9
TCGA-AD-6965-01A 62 years, male, white, stage:Stage IIIC, alive, 805 days 1940.2
TCGA-D5-6924-01A 68 years, male, white, stage:Stage IIA, alive, 435 days 1674.8
TCGA-A6-5666-01A 78 years, male, white, stage:Stage IIC, alive, 995 days 1590.7
TCGA-A6-5656-01A 74 years, male, white, stage:Stage I, alive, 1001 days 783.2
TCGA-A6-3810-01A 62 years, male, white, stage:Stage IIA, alive, 1111 days 420.3
TCGA-A6-6780-01A 74 years, male, white, stage:Stage IIA, alive, 612 days 342.8
TCGA-A6-3809-01A 71 years, female, white, stage:Stage IIB, alive, 996 days 217.3
TCGA-A6-2674-01A 71 years, male, white, stage:Stage IV, alive, 1331 days 177.8
TCGA-A6-6781-01A 43 years, male, white, stage:Stage IIIC, alive, 598 days 158.7
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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-ATP6 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.

: 14749.1
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 17736.3
Number of samples 486
Samples
Sample Description pTPM
U0349 63 years, male, NA, stage:T3N1M0, alive, 2682 days 61024.1
U0248 72 years, male, NA, stage:T3N0M0, alive, 1870 days 59072.4
U0193 76 years, male, NA, stage:T3N1M0, dead, 876 days 54935.8
U0401 60 years, male, NA, stage:T4N1M0, alive, 1715 days 51873.2
U0187 77 years, male, NA, stage:T3N2M0, alive, 1632 days 48453.0
U0934 87 years, female, NA, stage:T3N0M0, alive, 1185 days 48187.3
U0169 82 years, male, NA, stage:T4N2M0, alive, 616 days 46944.5
U0993 83 years, male, NA, stage:T4N2M0, alive, 1267 days 45902.7
U1317 68 years, male, NA, stage:T4N1M0, alive, 965 days 45887.1
U0200 73 years, female, NA, stage:T3N0M0, alive, 2614 days 43001.7
U0081 87 years, male, NA, stage:T3N2M0, dead, 248 days 42469.6
U0278 73 years, female, NA, stage:T2N0M0, alive, 763 days 42151.2
U0085 88 years, male, NA, stage:T4N1M0, dead, 1698 days 41375.1
U0320 66 years, female, NA, stage:T4N2M1, alive, 188 days 41351.5
U0942 88 years, male, NA, stage:T3N0M0, alive, 665 days 41313.0
U0916 88 years, female, NA, stage:T3N0M0, alive, 1578 days 40854.3
U0148 80 years, male, NA, stage:T3N0M0, alive, 1780 days 40839.8
U0246 74 years, female, NA, stage:T4N0M0, dead, 1192 days 40430.3
U1264 69 years, female, NA, stage:T3N0M0, dead, 1583 days 39907.0
U0175 77 years, male, NA, stage:T3N2M0, alive, 1875 days 39834.3
U0234 75 years, male, NA, stage:T1N1M0, alive, 990 days 39291.8
U1473 46 years, female, NA, stage:T3N0M0, alive, 1553 days 38924.1
U0326 64 years, female, NA, stage:T3N0M0, alive, 3178 days 38202.9
U0381 60 years, male, NA, stage:T3N1M0, dead, 71 days 38201.6
U0089 85 years, female, NA, stage:T1NXM0, dead, 2365 days 37696.2
U1046 78 years, female, NA, stage:T4N2M1, dead, 697 days 37430.4
U1160 74 years, male, NA, stage:T3N1M0, alive, 1557 days 37235.5
U0229 70 years, female, NA, stage:TXN2M1, dead, 2115 days 36937.1
U0218 77 years, female, NA, stage:T3N0M0, alive, 714 days 36494.5
U1212 74 years, female, NA, stage:T2N0M0, alive, 69 days 35326.9
U0400 62 years, male, NA, stage:T4N0M0, dead, 1073 days 35027.1
U0385 65 years, male, NA, stage:T3N0M0, alive, 902 days 34881.4
U0135 82 years, female, NA, stage:T3N0M0, alive, 1738 days 34815.6
U0369 66 years, female, NA, stage:T3N0M0, dead, 1095 days 34111.2
U1267 65 years, male, NA, stage:T3N1M0, dead, 2869 days 34089.7
U0095 86 years, male, NA, stage:T4N1M0, dead, 1034 days 34054.5
U0373 64 years, female, NA, stage:T3N0M0, alive, 1822 days 34002.3
U0094 89 years, female, NA, stage:T3N2M0, alive, 741 days 33574.6
U0442 56 years, male, NA, stage:T3N0M0, alive, 619 days 33565.7
U1343 62 years, female, NA, stage:T4N2M0, alive, 3178 days 33528.7
U0306 71 years, male, NA, stage:T3N1M0, dead, 717 days 33422.1
U0090 85 years, female, NA, stage:T3N0M0, dead, 1258 days 33357.8
U0178 76 years, female, NA, stage:T3N1M0, dead, 2096 days 33160.7
U0211 76 years, female, NA, stage:T3N1M0, alive, 1236 days 33130.8
U0436 59 years, male, NA, stage:T4N1M1, alive, 960 days 32672.3
U0356 68 years, male, NA, stage:T4N1M0, alive, 536 days 32352.6
U1072 80 years, male, NA, stage:T1N0M0, alive, 1446 days 32243.9
U0083 88 years, male, NA, stage:T4N0M0, dead, 731 days 32144.4
U0210 75 years, male, NA, stage:T3N0M0, dead, 1800 days 32051.1
U0002 82 years, female, NA, stage:T3N2M0, alive, 3691 days 31912.9
U0141 81 years, male, NA, stage:T3N2M0, alive, 2079 days 31823.0
U0107 82 years, male, NA, stage:T3N0M0, dead, 2354 days 31736.3
U0222 72 years, female, NA, stage:T3N2M1, alive, 1779 days 31663.2
U0333 66 years, female, NA, stage:T3N2M0, dead, 1959 days 31644.6
U0227 72 years, female, NA, stage:T4N2M0, alive, 291 days 31625.5
U1401 60 years, female, NA, stage:T3N0M0, alive, 1482 days 31471.8
U1067 79 years, male, NA, stage:T3N0M0, alive, 1570 days 31398.3
U0208 76 years, female, NA, stage:T3N1M0, dead, 1233 days 31222.7
U0316 68 years, male, NA, stage:T3N2M0, alive, 2012 days 30943.3
U1017 82 years, male, NA, stage:T3N0M0, alive, 615 days 30859.7
U1099 77 years, female, NA, stage:T3N0M0, alive, 2068 days 30030.9
U0375 66 years, male, NA, stage:T3N0M0, dead, 666 days 30016.7
U0123 83 years, male, NA, stage:T3N0M0, dead, 1880 days 30012.0
U0314 67 years, female, NA, stage:T1N0M0, dead, 2436 days 29762.9
U1183 73 years, male, NA, stage:T4N2M0, alive, 959 days 29760.6
U0066 93 years, male, NA, stage:T3N0M0, dead, 2486 days 29489.7
U1384 62 years, male, NA, stage:T4N1M0, alive, 1319 days 29264.3
U0262 69 years, female, NA, stage:T2N0M0, alive, 2534 days 28988.8
U0125 86 years, female, NA, stage:T1N0M0, dead, 668 days 28833.3
U0347 68 years, female, NA, stage:T4N1M1, alive, 628 days 28649.7
U1111 76 years, female, NA, stage:T3N0M0, dead, 1631 days 28609.7
U2848 67 years, female, NA, stage:T4N2M0, alive, 669 days 28498.3
U0999 84 years, male, NA, stage:T3N2M0, alive, 860 days 28446.2
U1201 72 years, male, NA, stage:T3N2M0, alive, 1484 days 27710.9
U1013 82 years, female, NA, stage:T2N1M0, alive, 1439 days 27641.6
U0433 58 years, male, NA, stage:T4N1M1, dead, 440 days 27251.7
U0167 79 years, male, NA, stage:T3N1M0, alive, 1820 days 27163.2
U1246 70 years, female, NA, stage:T3N0M0, alive, 1441 days 27132.1
U0176 76 years, male, NA, stage:T3N1M0, alive, 2600 days 27121.2
U0153 80 years, female, NA, stage:T3N0M0, dead, 1718 days 26830.3
U0068 92 years, female, NA, stage:T3N1M0, alive, 1991 days 26667.8
U0297 67 years, female, NA, stage:T3N2M0, alive, 1196 days 26632.9
U1127 71 years, female, NA, stage:T3N0M0, alive, 3465 days 26563.3
U0070 89 years, male, NA, stage:T1N0M0, dead, 1319 days 26395.0
U0355 67 years, male, NA, stage:T4N1M0, dead, 1038 days 26325.6
U0158 76 years, male, NA, stage:T1N0M0, dead, 3101 days 26258.0
U0336 68 years, female, NA, stage:T3N0M0, alive, 1100 days 26223.6
U0250 74 years, female, NA, stage:T4N0M0, dead, 906 days 25479.8
U0465 43 years, male, NA, stage:T3N0M0, alive, 2383 days 25451.9
U1327 66 years, female, NA, stage:T3N0M0, alive, 1613 days 25296.9
U0365 68 years, female, NA, stage:T4N1M0, dead, 313 days 25271.8
U1059 77 years, male, NA, stage:T3N1M0, alive, 2790 days 25237.4
U0344 69 years, male, NA, stage:T2N1M0, dead, 818 days 25023.9
U1095 76 years, female, NA, stage:T3N1M1, alive, 2425 days 24754.0
U0441 50 years, female, NA, stage:T2N1M0, alive, 2738 days 24647.5
U1114 76 years, female, NA, stage:TXNXM1, dead, 473 days 24542.8
U0100 85 years, female, NA, stage:T3N0M0, dead, 1920 days 24531.6
U1071 78 years, female, NA, stage:T4N0M1, alive, 1514 days 24458.9
U0245 71 years, female, NA, stage:T3N1M0, dead, 564 days 24422.2
U0882 93 years, male, NA, stage:T3N0M0, alive, 1675 days 24078.6
U0386 60 years, female, NA, stage:T4N1M1, alive, 2592 days 23817.9
U0156 82 years, female, NA, stage:T4N1M0, alive, 1573 days 23813.2
U0121 86 years, male, NA, stage:T4N2M0, alive, 655 days 23805.3
U2856 71 years, female, NA, stage:T4N1M1, alive, 660 days 23794.8
U0295 67 years, male, NA, stage:T3N0M0, dead, 2572 days 23754.1
U0367 61 years, female, NA, stage:T3N1M0, alive, 3075 days 23719.8
U0287 69 years, female, NA, stage:T2N0M0, alive, 1897 days 23542.1
U1034 80 years, male, NA, stage:T4N0M0, alive, 1575 days 23410.1
U0134 82 years, male, NA, stage:T3N0M0, alive, 2009 days 23265.8
U0915 88 years, female, NA, stage:T3N0M0, alive, 1613 days 23139.8
U0335 65 years, female, NA, stage:T3N1M0, alive, 2464 days 23100.0
U1120 76 years, male, NA, stage:T4N1M1, alive, 823 days 23099.1
U0289 66 years, female, NA, stage:T3N0M0, alive, 3511 days 23087.9
U1386 62 years, male, NA, stage:T3N1M0, alive, 1518 days 23058.9
U0163 81 years, male, NA, stage:T4N0M0, alive, 697 days 23047.3
U1369 63 years, male, NA, stage:T3N0M0, dead, 1604 days 22888.4
U0382 61 years, female, NA, stage:T3N0M0, alive, 2550 days 22885.2
U0151 80 years, female, NA, stage:T3N0M0, alive, 2014 days 22856.3
U2889 77 years, male, NA, stage:T4N0M0, alive, 623 days 22841.4
U0384 64 years, male, NA, stage:T2N1M1, alive, 1024 days 22647.0
U0362 66 years, male, NA, stage:T3N0M0, alive, 1148 days 22564.4
U0136 79 years, female, NA, stage:T3N0M0, dead, 2795 days 22542.1
U1250 70 years, male, NA, stage:T2N0M0, alive, 597 days 22468.1
U1065 75 years, female, NA, stage:T3N2M0, alive, 2954 days 22466.0
U1102 77 years, male, NA, stage:T2N0M0, alive, 1354 days 22453.8
U1483 43 years, female, NA, stage:T3N0M0, alive, 1094 days 22349.6
U1007 82 years, male, NA, stage:T3N0M0, alive, 1333 days 22346.7
U0469 42 years, male, NA, stage:T3N0M0, dead, 409 days 22279.0
U2861 78 years, male, NA, stage:T3N0M0, alive, 652 days 22238.8
U0361 63 years, male, NA, stage:T3N0M0, alive, 686 days 22201.7
U1257 71 years, male, NA, stage:T3N0M0, alive, 833 days 22192.1
U1347 65 years, female, NA, stage:T3N0M0, alive, 1401 days 22185.8
U0084 86 years, male, NA, stage:T3N0M0, dead, 1662 days 22112.1
U1251 69 years, male, NA, stage:T4N2M0, alive, 126 days 21823.0
U2819 86 years, female, NA, stage:T3N0M0, alive, 708 days 21582.2
U1303 66 years, male, NA, stage:T4N1M0, alive, 2283 days 21521.0
U1258 70 years, male, NA, stage:T3N1M0, alive, 1373 days 21455.7
U2964 84 years, male, NA, stage:T3N1M0, alive, 637 days 21454.8
U0984 84 years, female, NA, stage:T4N0M0, alive, 1287 days 21444.3
U1041 81 years, male, NA, stage:T2N0M0, alive, 1108 days 21426.9
U1220 70 years, male, NA, stage:T3N2M0, dead, 1953 days 21365.0
U0172 78 years, male, NA, stage:T4N0M0, dead, 678 days 21095.0
U1031 80 years, male, NA, stage:T1N1M0, alive, 1625 days 21091.0
U0263 69 years, female, NA, stage:T3N0M1, alive, 362 days 20965.3
U1235 71 years, female, NA, stage:T2N0M0, alive, 1319 days 20759.7
U0260 69 years, male, NA, stage:T1N0M1, alive, 2928 days 20690.0
U0225 77 years, male, NA, stage:T3N1M0, alive, 581 days 20584.2
U0281 72 years, male, NA, stage:T3N2M0, alive, 933 days 20545.6
U0448 46 years, male, NA, stage:T3N2M0, alive, 3615 days 20532.2
U0450 52 years, female, NA, stage:T3N1M0, alive, 763 days 20458.5
U0273 68 years, male, NA, stage:T2N1M0, alive, 2641 days 20416.5
U1472 47 years, female, NA, stage:T3N1M0, alive, 1316 days 20220.4
U0411 59 years, female, NA, stage:T3N1M0, alive, 1868 days 20166.4
U0426 59 years, male, NA, stage:T3N0M0, dead, 976 days 20141.6
U0318 71 years, male, NA, stage:T3N0M0, alive, 762 days 20135.0
U0277 72 years, male, NA, stage:T2N1M0, alive, 270 days 20027.6
U0315 65 years, female, NA, stage:T2N0M0, alive, 1973 days 19980.2
U0124 81 years, female, NA, stage:T1N0M0, alive, 2430 days 19971.6
U0309 68 years, female, NA, stage:T3N0M0, dead, 1898 days 19948.3
U2780 75 years, male, NA, stage:T3N0M0, alive, 778 days 19891.5
U1073 79 years, female, NA, stage:T3N1M0, alive, 1359 days 19831.6
U0244 69 years, female, NA, stage:T3N1M0, alive, 3184 days 19571.3
U0108 84 years, female, NA, stage:T3N0M1, alive, 535 days 19544.5
U0143 80 years, male, NA, stage:T3N2M0, alive, 2313 days 19514.8
U0235 75 years, female, NA, stage:T3N0M0, alive, 1327 days 19509.9
U1107 80 years, male, NA, stage:T3N0M0, alive, 329 days 19500.0
U0247 70 years, female, NA, stage:T3N1M0, alive, 2538 days 19463.5
U1086 73 years, female, NA, stage:T1N0M0, alive, 2907 days 19384.7
U0972 83 years, female, NA, stage:T1N0M0, alive, 2473 days 19369.1
U2774 66 years, female, NA, stage:T3N0M0, alive, 783 days 19325.2
U0102 87 years, female, NA, stage:T4N2M0, dead, 670 days 19270.4
U0416 61 years, male, NA, stage:T1N1M0, alive, 1228 days 19240.4
U0239 76 years, male, NA, stage:T2N0M0, alive, 67 days 19227.0
U0196 75 years, male, NA, stage:T3N0M0, alive, 2086 days 19126.7
U0960 86 years, male, NA, stage:T3N0M0, alive, 1009 days 19078.0
U0313 70 years, male, NA, stage:T4N1M0, dead, 1142 days 18969.8
U0462 45 years, female, NA, stage:T4N1M0, alive, 1017 days 18892.3
U0338 68 years, female, NA, stage:T3N0M0, alive, 1016 days 18795.2
U0067 92 years, female, NA, stage:T3N0M0, alive, 2180 days 18754.0
U1141 71 years, female, NA, stage:T4N1M1, dead, 596 days 18657.1
U0280 68 years, male, NA, stage:T3N1M1, alive, 2731 days 18577.3
U0129 82 years, male, NA, stage:T4N0M0, dead, 1265 days 18561.4
U1421 59 years, female, NA, stage:T3N1M0, alive, 1905 days 18514.1
U1240 70 years, male, NA, stage:T4N0M0, alive, 765 days 18513.1
U0087 87 years, female, NA, stage:T3N2M0, dead, 337 days 18365.3
U1044 76 years, male, NA, stage:T4N0M0, alive, 3146 days 18304.9
U1429 58 years, female, NA, stage:T3N0M0, alive, 1660 days 18231.8
U0342 68 years, male, NA, stage:T4N2M0, alive, 305 days 18104.5
U0991 83 years, male, NA, stage:T4N2M0, dead, 534 days 18051.3
U0072 88 years, male, NA, stage:T3N0M0, alive, 2772 days 18035.0
U0221 77 years, male, NA, stage:T3N0M0, alive, 569 days 18023.9
U3038 82 years, male, NA, stage:T3N0M0, alive, 328 days 18000.4
U0443 54 years, male, NA, stage:T3N0M0, alive, 1677 days 17951.7
U1274 69 years, male, NA, stage:T2N1M0, alive, 1198 days 17932.3
U0390 64 years, male, NA, stage:T3N1M0, alive, 871 days 17916.8
U0224 72 years, female, NA, stage:T3N0M0, alive, 2367 days 17861.6
U0379 63 years, male, NA, stage:T2N0M0, alive, 1819 days 17853.1
U1486 39 years, female, NA, stage:T4N0M0, alive, 1606 days 17850.7
U0453 46 years, male, NA, stage:T3N0M0, alive, 2859 days 17736.2
U0157 83 years, male, NA, stage:T4N0M0, dead, 131 days 17636.6
U0396 59 years, male, NA, stage:T4N2M0, alive, 2243 days 17573.6
U0447 51 years, male, NA, stage:T4N1M0, dead, 1819 days 17551.1
U0117 83 years, female, NA, stage:T2N0M0, dead, 1078 days 17544.1
U0092 84 years, male, NA, stage:T3N0M0, alive, 2779 days 17525.2
U0170 77 years, male, NA, stage:T4N1M0, dead, 832 days 17491.8
U0202 73 years, male, NA, stage:T3N0M0, dead, 2670 days 17420.2
U2902 86 years, female, NA, stage:T2N0M0, alive, 596 days 17322.7
U0449 50 years, female, NA, stage:T3N0M0, alive, 1851 days 17305.3
U0126 79 years, male, NA, stage:T3N0M0, dead, 2876 days 17301.9
U0142 80 years, female, NA, stage:T4N1M0, alive, 2340 days 17272.8
U2803 66 years, male, NA, stage:T3N1M0, alive, 744 days 17219.1
U1022 81 years, male, NA, stage:T4N2M0, dead, 61 days 17134.6
U1374 66 years, male, NA, stage:T4N0M0, alive, 827 days 17074.0
U0403 60 years, male, NA, stage:T3N1M1, dead, 1809 days 17063.0
U1129 74 years, male, NA, stage:T3N0M0, dead, 118 days 17015.7
U0377 59 years, female, NA, stage:T3N2M0, alive, 3720 days 16812.5
U1392 61 years, male, NA, stage:T3N0M0, alive, 1513 days 16693.3
U0099 85 years, female, NA, stage:T3N0M0, dead, 986 days 16674.9
U0455 47 years, female, NA, stage:T3N2M0, alive, 2445 days 16611.0
U0319 65 years, male, NA, stage:T3N0M0, alive, 2801 days 16559.4
U0078 91 years, female, NA, stage:T3N0M0, alive, 1183 days 16420.3
U2958 84 years, female, NA, stage:T1N0M0, alive, 536 days 16409.1
U2948 74 years, female, NA, stage:T3N1M0, alive, 543 days 16357.2
U0269 69 years, female, NA, stage:T3N0M0, alive, 2530 days 16338.5
U0098 84 years, male, NA, stage:T3N0M0, dead, 2473 days 16253.7
U0357 64 years, female, NA, stage:T3N0M0, alive, 2285 days 16221.8
U2842 60 years, female, NA, stage:T4N2M0, alive, 675 days 16204.2
U0438 53 years, female, NA, stage:T3N0M0, alive, 2009 days 16172.7
U0119 81 years, female, NA, stage:T3N0M0, alive, 3259 days 16093.5
U2896 81 years, female, NA, stage:T3N1M0, alive, 609 days 16090.8
U0145 81 years, male, NA, stage:T3N1M1, alive, 623 days 16054.8
U0257 69 years, male, NA, stage:T3N1M0, dead, 2508 days 15998.4
U0328 66 years, male, NA, stage:T4N0M0, dead, 1362 days 15988.0
U0300 71 years, male, NA, stage:T2N0M0, alive, 974 days 15947.2
U0937 86 years, male, NA, stage:T2N0M0, dead, 1558 days 15941.5
U2981 74 years, male, NA, stage:T3N0M0, alive, 508 days 15905.3
U0290 72 years, male, NA, stage:T4N2M0, dead, 593 days 15904.8
U0345 65 years, female, NA, stage:T3N0M0, alive, 2127 days 15880.6
U1104 78 years, female, NA, stage:T4N0M0, alive, 1109 days 15807.3
U3051 48 years, male, NA, stage:T3N2M0, alive, 415 days 15762.1
U2891 81 years, male, NA, stage:T3N1M0, alive, 619 days 15694.8
U0321 70 years, female, NA, stage:T3N0M0, alive, 1029 days 15507.5
U0252 70 years, male, NA, stage:T3N1M0, dead, 1761 days 15483.3
U2956 86 years, female, NA, stage:T3N0M0, alive, 540 days 15294.6
U1349 63 years, female, NA, stage:T3N1M0, alive, 1899 days 15281.4
U0376 66 years, male, NA, stage:T2N1M0, alive, 965 days 15118.9
U1291 68 years, female, NA, stage:T3N0M0, alive, 2000 days 15096.0
U0109 82 years, female, NA, stage:T4N2M1, alive, 144 days 15089.1
U0444 52 years, female, NA, stage:T4N1M0, alive, 1841 days 15083.5
U2971 62 years, male, NA, stage:T4aN0M0, alive, 629 days 15022.0
U3018 67 years, male, NA, stage:T4N1M0, alive, 463 days 15019.5
U1075 78 years, female, NA, stage:T3N0M0, alive, 1290 days 15007.5
U0368 67 years, male, NA, stage:T2N0M0, alive, 801 days 15001.5
U0467 38 years, female, NA, stage:T3N0M0, alive, 1848 days 14963.9
U0308 72 years, male, NA, stage:T4N1M0, alive, 1075 days 14912.7
U0446 53 years, male, NA, stage:T2N0M0, alive, 1446 days 14887.6
U3022 77 years, male, NA, stage:T2N0M0, alive, 484 days 14839.6
U0471 38 years, female, NA, stage:T3N1M0, alive, 1673 days 14772.9
U0307 65 years, male, NA, stage:T3N0M0, alive, 2921 days 14764.9
U0327 70 years, male, NA, stage:T4N0M0, alive, 833 days 14749.1
U0189 74 years, female, NA, stage:T3N0M0, dead, 1823 days 14740.4
U0075 88 years, male, NA, stage:T3N0M0, dead, 3 days 14687.9
U0179 75 years, male, NA, stage:T3N1M0, dead, 1043 days 14581.1
U1074 77 years, male, NA, stage:T3N0M0, dead, 1043 days 14524.3
U0171 78 years, female, NA, stage:T3N1M0, dead, 1920 days 14514.5
U0389 64 years, female, NA, stage:T3N1M0, dead, 927 days 14505.0
U0429 58 years, female, NA, stage:T3N0M1, alive, 1099 days 14504.8
U0110 87 years, female, NA, stage:T3N1M1, dead, 878 days 14498.5
U0180 74 years, male, NA, stage:T3N0M1, dead, 965 days 14496.1
U1447 57 years, male, NA, stage:T4N1M0, alive, 988 days 14464.2
U0207 73 years, female, NA, stage:T3N0M0, dead, 2593 days 14429.7
U0459 49 years, female, NA, stage:T3N0M0, alive, 966 days 14272.3
U0460 43 years, female, NA, stage:T3N0M0, dead, 2069 days 14259.3
U1145 74 years, female, NA, stage:T3N0M0, dead, 445 days 14250.3
U0249 75 years, female, NA, stage:T4N2M0, dead, 874 days 14167.6
U0199 78 years, female, NA, stage:T4N2M0, alive, 1372 days 14153.6
U0285 69 years, female, NA, stage:T3N0M0, alive, 2165 days 14131.8
U0236 72 years, male, NA, stage:T3N1M0, alive, 1842 days 14130.4
U1103 76 years, female, NA, stage:T4N2M0, alive, 975 days 14081.3
U0146 79 years, female, NA, stage:T3N2M0, dead, 733 days 14014.2
U0451 47 years, female, NA, stage:T4N2M0, alive, 3023 days 14009.4
U0004 61 years, female, NA, stage:T4N0M0, alive, 3649 days 13970.3
U1352 61 years, male, NA, stage:T3N2M1, dead, 741 days 13944.8
U1018 81 years, male, NA, stage:T4N1M1, dead, 1693 days 13876.2
U0154 83 years, male, NA, stage:T3N0M0, alive, 820 days 13874.7
U0203 77 years, male, NA, stage:T3N0M0, dead, 827 days 13731.8
U1432 60 years, female, NA, stage:T3N1M0, alive, 577 days 13711.4
U0929 85 years, male, NA, stage:T4N1M0, alive, 436 days 13708.7
U3100 89 years, male, NA, stage:T3N1M0, dead, 1608 days 13671.2
U1040 83 years, male, NA, stage:T2N0M0, alive, 1029 days 13638.2
U0332 66 years, female, NA, stage:T3N0M0, alive, 2101 days 13568.5
U0214 72 years, male, NA, stage:T4N1M1, alive, 788 days 13532.7
U0354 69 years, male, NA, stage:T3N1M0, alive, 430 days 13451.3
U0182 79 years, female, NA, stage:T4N1M0, dead, 260 days 13428.6
U1346 66 years, female, NA, stage:T3N0M0, alive, 1137 days 13323.4
U1301 66 years, female, NA, stage:T4N2M0, dead, 877 days 13307.9
U1344 65 years, female, NA, stage:T3N1M0, alive, 1450 days 13268.6
U0204 78 years, male, NA, stage:T3N0M0, dead, 770 days 13259.2
U1454 54 years, female, NA, stage:T3N0M0, alive, 393 days 13173.0
U1474 45 years, female, NA, stage:T1N0MX, alive, 2012 days 13168.6
U1208 74 years, female, NA, stage:T1N0M0, alive, 834 days 13046.7
U0383 60 years, male, NA, stage:T3N2M1, dead, 595 days 13043.6
U0105 82 years, female, NA, stage:T2N0M0, dead, 2158 days 12905.1
U0456 46 years, male, NA, stage:T4N0M0, dead, 2222 days 12902.9
U0166 82 years, female, NA, stage:T3N0M0, alive, 763 days 12856.9
U0115 84 years, female, NA, stage:T3N0M0, dead, 1738 days 12827.8
U1366 63 years, male, NA, stage:T3N1M0, alive, 2010 days 12776.0
U2953 55 years, female, NA, stage:T4aN0M0, alive, 541 days 12713.4
U1448 53 years, male, NA, stage:T3N0M1, dead, 1512 days 12695.5
U0970 86 years, female, NA, stage:T4N1M0, alive, 939 days 12677.2
U0472 32 years, male, NA, stage:TXN2M0, alive, 542 days 12659.1
U0427 59 years, male, NA, stage:T2N0M0, alive, 1193 days 12625.4
U3042 62 years, male, NA, stage:T3N0M0, alive, 324 days 12587.3
U0274 70 years, male, NA, stage:T3N0M0, dead, 1570 days 12578.7
U0439 56 years, male, NA, stage:T3N1M0, alive, 1418 days 12575.1
U1241 70 years, male, NA, stage:T3N1M0, dead, 49 days 12524.5
U0270 70 years, female, NA, stage:T1N0M0, alive, 2187 days 12519.8
U1304 69 years, female, NA, stage:TXNXM0, alive, 1081 days 12476.4
U0198 77 years, male, NA, stage:T3N1M0, alive, 1272 days 12460.3
U0302 73 years, male, NA, stage:T1N0M0, alive, 892 days 12444.3
U0063 95 years, male, NA, stage:T1N0M0, dead, 1779 days 12432.3
U0127 80 years, female, NA, stage:T3N0M0, dead, 2753 days 12408.2
U0106 82 years, female, NA, stage:T3N1M0, dead, 653 days 12384.9
U0421 60 years, male, NA, stage:T3N1M0, alive, 674 days 12362.3
U0259 68 years, female, NA, stage:T4N2M0, alive, 76 days 12263.9
U0440 51 years, female, NA, stage:T4N0M0, dead, 2743 days 12221.8
U2815 82 years, female, NA, stage:T3N0M0, alive, 717 days 12220.8
U0275 69 years, female, NA, stage:T3N2M0, alive, 549 days 12154.6
U2927 51 years, male, NA, stage:T3N1M0, alive, 564 days 12103.9
U0152 82 years, male, NA, stage:T3N1M0, alive, 989 days 12081.4
U0288 72 years, male, NA, stage:T1N0M0, alive, 1513 days 12010.2
U3034 64 years, female, NA, stage:T3N1M0, alive, 443 days 11999.5
U0266 70 years, female, NA, stage:T3N1M0, dead, 2221 days 11987.1
U1332 65 years, male, NA, stage:T3N0M0, alive, 1672 days 11941.4
U0358 64 years, female, NA, stage:T4N1M0, alive, 2290 days 11890.9
U0352 62 years, female, NA, stage:T4N2M0, dead, 385 days 11885.5
U0191 80 years, male, NA, stage:T3N1M0, alive, 900 days 11867.0
U0268 67 years, male, NA, stage:T3N0M0, alive, 2978 days 11851.8
U0112 86 years, female, NA, stage:T3N0M1, alive, 551 days 11850.4
U0292 71 years, male, NA, stage:T4N1M0, alive, 1666 days 11794.8
U0131 81 years, female, NA, stage:T4N2M1, alive, 238 days 11781.8
U0133 85 years, female, NA, stage:T3N0M0, alive, 773 days 11768.1
U0312 65 years, female, NA, stage:T4N2M1, alive, 499 days 11700.2
U0474 30 years, male, NA, stage:T3N1M0, alive, 1017 days 11542.1
U1252 70 years, female, NA, stage:T4N2M0, alive, 1309 days 11504.8
U0967 84 years, male, NA, stage:T2N0M0, dead, 1691 days 11454.4
U0392 64 years, male, NA, stage:T3N2M0, alive, 489 days 11451.1
U1122 75 years, female, NA, stage:T3N2M0, alive, 1675 days 11433.1
U2798 68 years, male, NA, stage:T3N0M0, alive, 751 days 11389.2
U0240 75 years, female, NA, stage:T3N1M0, dead, 800 days 11317.8
U3043 68 years, female, NA, stage:T3N2M0, alive, 287 days 11203.9
U0370 67 years, female, NA, stage:T3N0M0, alive, 1047 days 11180.2
U1436 56 years, female, NA, stage:T3N0M0, alive, 1745 days 11156.0
U0233 71 years, female, NA, stage:T3N1M0, alive, 975 days 11013.0
U0950 86 years, female, NA, stage:T4N1M0, alive, 1834 days 11005.5
U2753 81 years, female, NA, stage:T2N0M0, alive, 813 days 10939.2
U0939 82 years, male, NA, stage:T3N1M0, alive, 2960 days 10885.7
U0955 83 years, female, NA, stage:T3N0M0, alive, 2170 days 10859.0
U1094 79 years, female, NA, stage:T4N1M0, alive, 1267 days 10796.0
U2754 81 years, male, NA, stage:T4N0M0, alive, 809 days 10764.2
U0420 56 years, male, NA, stage:T4N1M1, alive, 417 days 10743.0
U0254 75 years, female, NA, stage:T3N1M0, alive, 659 days 10665.6
U1253 68 years, female, NA, stage:T3N0M0, dead, 165 days 10651.1
U0445 51 years, female, NA, stage:T3N0M0, alive, 1851 days 10520.4
U1158 76 years, female, NA, stage:T3N1M0, alive, 721 days 10493.1
U0181 74 years, female, NA, stage:T1N0M0, alive, 3623 days 10488.5
U0350 68 years, female, NA, stage:T4N0M0, alive, 770 days 10445.5
U2975 85 years, male, NA, stage:T4N1M0, alive, 514 days 10387.3
U0398 63 years, female, NA, stage:T3N0M0, alive, 721 days 10367.1
U2792 68 years, male, NA, stage:T2N1M0, alive, 758 days 10340.1
U1239 69 years, male, NA, stage:T2N0M0, dead, 1998 days 10229.0
U0590 75 years, female, NA, stage:T3N0M0, alive, 661 days 10223.1
U1276 66 years, male, NA, stage:T3N0M0, alive, 2474 days 10217.0
U1446 53 years, female, NA, stage:T3N0M0, alive, 2314 days 10161.5
U2999 79 years, female, NA, stage:T2N0M0, alive, 581 days 10096.4
U2935 70 years, male, NA, stage:T4N1M0, alive, 555 days 10027.9
U0966 84 years, male, NA, stage:T4N0M0, dead, 1513 days 10010.7
U1396 62 years, female, NA, stage:T4N0M0, alive, 1168 days 10006.9
U2882 65 years, female, NA, stage:T3N1M0, alive, 637 days 9997.0
U1045 80 years, female, NA, stage:T4N2M0, alive, 1239 days 9962.1
U1147 73 years, male, NA, stage:T3N0M0, dead, 282 days 9877.2
U2843 89 years, female, NA, stage:T3N0M0, alive, 674 days 9867.1
U2979 73 years, male, NA, stage:T3N2M0, alive, 616 days 9817.0
U1228 71 years, male, NA, stage:T3N0M0, alive, 1333 days 9616.9
U2747 85 years, female, NA, stage:T4N1M0, dead, 54 days 9571.5
U0215 77 years, male, NA, stage:T3N0M0, alive, 1269 days 9567.4
U0165 81 years, female, NA, stage:T2N0M0, alive, 1702 days 9558.3
U0223 71 years, male, NA, stage:T4N1M0, alive, 1812 days 9546.1
U1321 65 years, male, NA, stage:T3N1M0, alive, 2578 days 9435.0
U1049 82 years, female, NA, stage:T3N1M0, alive, 1200 days 9376.9
U3039 74 years, male, NA, stage:T4N1M1, dead, 366 days 9351.1
U0104 87 years, female, NA, stage:T4N0M0, dead, 1639 days 9176.4
U0317 64 years, female, NA, stage:T3N2M0, alive, 3209 days 9037.0
U0074 89 years, female, NA, stage:T3N0M0, dead, 1438 days 9015.0
U1213 73 years, female, NA, stage:T2N0M0, alive, 560 days 8983.6
U3032 61 years, female, NA, stage:T3N1M0, alive, 449 days 8930.2
U2947 77 years, female, NA, stage:T3N0M0, alive, 543 days 8928.0
U0424 56 years, male, NA, stage:T3N0M0, alive, 2192 days 8798.2
U0185 80 years, male, NA, stage:T1N0M0, alive, 1248 days 8780.1
U0414 60 years, male, NA, stage:T3N0M0, alive, 1691 days 8736.0
U0378 66 years, female, NA, stage:T4N1M0, dead, 815 days 8723.0
U2959 63 years, male, NA, stage:T3N2M0, alive, 536 days 8710.9
U0177 81 years, female, NA, stage:T3N0M0, alive, 355 days 8709.0
U0082 85 years, female, NA, stage:T3N1M0, dead, 2339 days 8706.6
U0428 60 years, male, NA, stage:T4N1M1, alive, 1016 days 8677.6
U1184 70 years, male, NA, stage:T4N1M0, alive, 290 days 8676.1
U1150 75 years, female, NA, stage:T3N0M0, alive, 15 days 8665.6
U0168 81 years, male, NA, stage:T3N0M0, dead, 948 days 8593.7
U0253 74 years, female, NA, stage:T3N0M0, alive, 958 days 8546.3
U0144 84 years, male, NA, stage:T3N0M0, alive, 1218 days 8466.8
U0397 62 years, male, NA, stage:T4N0M0, alive, 1663 days 8450.2
U0435 52 years, female, NA, stage:T2N0M0, alive, 3616 days 8378.4
U1188 72 years, female, NA, stage:T3N0M0, dead, 967 days 8287.8
U0360 67 years, female, NA, stage:T3N0M0, dead, 1016 days 8071.0
U3005 74 years, male, NA, stage:T3N0M0, alive, 478 days 8067.0
U3048 57 years, male, NA, stage:T4N2M0, alive, 535 days 8030.3
U0101 84 years, male, NA, stage:T3N1M1, alive, 1878 days 7982.2
U1162 73 years, male, NA, stage:T2N1M0, dead, 354 days 7931.5
U1204 71 years, male, NA, stage:T4N2M0, alive, 2214 days 7917.0
U2995 81 years, female, NA, stage:T3N1M0, alive, 491 days 7905.2
U1069 77 years, female, NA, stage:T3N0M0, dead, 2187 days 7856.6
U0933 85 years, male, NA, stage:T3N2M0, dead, 1960 days 7816.0
U0340 69 years, female, NA, stage:T4N2M1, dead, 438 days 7795.7
U1292 69 years, female, NA, stage:T4N1M0, alive, 1147 days 7774.9
U2837 76 years, female, NA, stage:T4N1M0, alive, 681 days 7680.7
U0404 57 years, female, NA, stage:T3N2M0, dead, 204 days 7680.7
U0195 73 years, male, NA, stage:T3N0M0, alive, 3326 days 7670.2
U3012 66 years, male, NA, stage:T3N0M0, alive, 472 days 7656.4
U3024 76 years, female, NA, stage:T3N0M0, alive, 463 days 7576.2
U3037 63 years, male, NA, stage:T3N1M0, alive, 405 days 7557.4
U0091 90 years, male, NA, stage:T3N0M0, alive, 520 days 7515.4
U1032 80 years, male, NA, stage:T3N1M0, alive, 2113 days 7490.3
U1037 80 years, male, NA, stage:T4N0M0, alive, 1658 days 7366.7
U3030 77 years, female, NA, stage:T3N0M0, alive, 380 days 7323.2
U0256 74 years, male, NA, stage:T3N0M0, alive, 738 days 7323.1
U3029 84 years, male, NA, stage:T2N0M0, alive, 475 days 7316.1
U0162 82 years, female, NA, stage:T3N0M0, alive, 1488 days 7289.6
U0209 74 years, male, NA, stage:T3N1M0, alive, 2109 days 7190.6
U1062 78 years, female, NA, stage:T4N0M0, alive, 1689 days 7113.3
U1047 75 years, female, NA, stage:T4N2M0, alive, 3592 days 6961.0
U2928 52 years, male, NA, stage:T2N0M0, alive, 563 days 6902.3
U0408 56 years, female, NA, stage:T4N0M0, dead, 2100 days 6867.8
U0977 84 years, female, NA, stage:T4N2M0, dead, 140 days 6842.8
U1155 75 years, male, NA, stage:T4N1M0, alive, 1815 days 6824.8
U0267 73 years, male, NA, stage:T4N0M0, dead, 445 days 6796.1
U0413 61 years, male, NA, stage:T2N0M0, alive, 1228 days 6779.7
U0363 61 years, male, NA, stage:T3N1M0, alive, 3601 days 6771.6
U3008 82 years, female, NA, stage:T2N0M0, alive, 473 days 6760.2
U0938 86 years, female, NA, stage:T3N0M0, dead, 1231 days 6681.5
U3025 68 years, male, NA, stage:T4N2M1, alive, 377 days 6660.2
U2942 74 years, male, NA, stage:T2N0M0, alive, 549 days 6587.5
U0908 89 years, female, NA, stage:T3N0M1, dead, 40 days 6524.4
U0976 82 years, female, NA, stage:T3N2M0, dead, 97 days 6496.3
U0473 33 years, male, NA, stage:T3N1M0, alive, 786 days 6291.4
U0183 74 years, male, NA, stage:T3N1M1, dead, 2957 days 6063.8
U0161 78 years, male, NA, stage:T4N2M1, alive, 42 days 5831.1
U0898 90 years, female, NA, stage:T4aN0M0, dead, 340 days 5778.2
U3122 85 years, female, NA, stage:T3N0M1, dead, 91 days 5672.4
U0103 88 years, female, NA, stage:T3N1M0, alive, 1197 days 5658.0
U0348 69 years, female, NA, stage:T3N0M0, alive, 533 days 5657.3
U1060 78 years, male, NA, stage:T3N0M0, alive, 2442 days 5647.4
U0122 85 years, female, NA, stage:T2N0M0, dead, 159 days 5549.1
U0113 88 years, male, NA, stage:T4N2M0, alive, 1102 days 5543.1
U2782 79 years, male, NA, stage:T3N1M1, alive, 773 days 5471.4
U0949 84 years, female, NA, stage:T3N0M1, dead, 594 days 5417.2
U0073 87 years, male, NA, stage:T4N0MX, dead, 318 days 5405.8
U1078 80 years, female, NA, stage:T3N0M0, alive, 1016 days 5364.6
U0111 88 years, male, NA, stage:T2N0M0, alive, 1117 days 5209.1
U0149 82 years, female, NA, stage:T3N2M0, alive, 1715 days 5104.2
U0987 82 years, female, NA, stage:T3N0M0, alive, 2482 days 5072.9
U0464 49 years, male, NA, stage:T3N0M0, alive, 918 days 5066.9
U1338 67 years, female, NA, stage:T4N1M0, dead, 716 days 5012.5
U0303 67 years, female, NA, stage:T3N0M0, alive, 2847 days 4995.3
U0589 56 years, female, NA, stage:T3N0M0, alive, 1176 days 4784.8
U1130 78 years, male, NA, stage:T2N1M0, alive, 913 days 4730.7
U0231 77 years, female, NA, stage:T2N0M0, alive, 991 days 4713.3
U0394 65 years, male, NA, stage:T2N1M0, alive, 969 days 4667.9
U0463 49 years, male, NA, stage:T3N0M0, alive, 946 days 4467.3
U0186 73 years, female, NA, stage:T2N0M0, alive, 3726 days 4431.1
U0217 76 years, female, NA, stage:T3N0M0, dead, 538 days 3905.9
U0323 69 years, male, NA, stage:T2N0M0, dead, 1016 days 3878.9
U0387 65 years, male, NA, stage:T2N0M0, alive, 1327 days 3544.6
U3050 61 years, female, NA, stage:T3N0M0, alive, 407 days 2985.7
U3000 69 years, female, NA, stage:T3N0M0, alive, 584 days 2926.8
U0399 63 years, female, NA, stage:T4N2M0, dead, 547 days 2855.2
U0069 94 years, female, NA, stage:T4N2M0, dead, 135 days 2692.3
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-ATP6 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.

: 15866.2
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 15276.4
Number of samples 88
Samples
Sample Description pTPM
TCGA-DY-A1DF-01A 73 years, female, white, stage:Stage IIIC, dead, 734 days 68313.5
TCGA-F5-6812-01A 67 years, male, white, stage:Stage IIA, alive, 1110 days 45708.4
TCGA-DY-A1DD-01A 77 years, female, white, stage:Stage IIIB, dead, 1741 days 40472.8
TCGA-F5-6571-01A 62 years, female, white, stage:Stage IIA, alive, 1288 days 35521.0
TCGA-BM-6198-01A 73 years, male, white, stage:Stage IIIB, alive, 646 days 34685.2
TCGA-DY-A1H8-01A 77 years, female, white, stage:Stage IIIA, dead, 992 days 32013.4
TCGA-DY-A1DC-01A 72 years, female, white, stage:Stage IIA, dead, 1258 days 28286.7
TCGA-DY-A1DG-01A 75 years, male, white, stage:Stage IVA, dead, 1566 days 27777.0
TCGA-EI-6514-01A 59 years, female, white, stage:Stage IIA, alive, 496 days 24986.0
TCGA-G5-6235-01A 72 years, male, white, stage:Stage IIIB, alive, 1696 days 24928.9
TCGA-EI-6509-01A 53 years, male, white, stage:Stage IIIC, alive, 517 days 24657.0
TCGA-AG-3592-01A 68 years, male, stage:Stage IIA, alive, 1035 days 24134.4
TCGA-AH-6643-01A 50 years, male, white, stage:Stage IIIC, dead, 1314 days 21635.3
TCGA-EI-6510-01A 77 years, female, white, stage:'--, alive, 556 days 21622.1
TCGA-AH-6544-01A 60 years, male, white, stage:'--, alive, 1173 days 21295.9
TCGA-AG-3732-01A 78 years, female, stage:Stage I, alive, 1003 days 20857.6
TCGA-EF-5831-01A 72 years, male, white, stage:Stage IIA, alive, 127 days 20640.1
TCGA-CL-4957-01A 79 years, female, stage:'--, dead, 425 days 20599.1
TCGA-EI-6513-01A 59 years, male, white, stage:Stage IIIB, alive, 497 days 19140.3
TCGA-DY-A0XA-01A 57 years, female, white, stage:Stage IIA, alive, 3846 days 18821.4
TCGA-G5-6641-01A 67 years, male, white, stage:Stage IIIA, alive, 804 days 18777.6
TCGA-F5-6702-01A 71 years, male, white, stage:Stage IVA, dead, 869 days 18315.9
TCGA-G5-6233-01A 74 years, male, white, stage:'--, dead, 556 days 18290.7
TCGA-AG-4022-01A 59 years, female, stage:Stage II, alive, 1400 days 17971.5
TCGA-AF-6672-01A 43 years, male, white, stage:Stage IV, alive, 748 days 17712.6
TCGA-DT-5265-01A 51 years, male, asian, stage:Stage II, alive, 384 days 17685.2
TCGA-EI-6506-01A 78 years, female, white, stage:Stage IIA, alive, 625 days 17525.8
TCGA-AG-3742-01A 85 years, female, stage:Stage I, alive, 30 days 17401.6
TCGA-AF-5654-01A 73 years, female, white, stage:Stage I, dead, 512 days 17288.5
TCGA-AH-6903-01A 46 years, male, white, stage:Stage IIIB, alive, 592 days 16975.6
TCGA-F5-6813-01A 70 years, male, white, stage:Stage IIIC, dead, 598 days 16654.6
TCGA-DC-6682-01A 57 years, male, white, stage:Stage IIA, alive, 762 days 16200.0
TCGA-G5-6572-01A 56 years, male, white, stage:'--, dead, 1432 days 16134.8
TCGA-AH-6547-01A 79 years, female, white, stage:'--, dead, 76 days 15937.6
TCGA-F5-6811-01A 72 years, female, white, stage:Stage IIA, alive, 979 days 15794.9
TCGA-AF-2687-01A 57 years, male, white, stage:Stage IIIC, alive, 1427 days 15780.8
TCGA-AF-A56K-01A 56 years, male, black or african american, stage:Stage IIA, alive, 2635 days 15726.5
TCGA-CI-6622-01A 74 years, male, white, stage:Stage IIB, alive, 1362 days 15479.5
TCGA-CI-6620-01A 41 years, female, white, stage:Stage IVA, alive, 1009 days 15227.8
TCGA-CI-6621-01A 63 years, male, white, stage:Stage IIIB, alive, 419 days 15172.4
TCGA-EF-5830-01A 54 years, male, white, stage:Stage IIB, alive, 106 days 14349.6
TCGA-DY-A1DE-01A 56 years, female, white, stage:Stage IIA, alive, 3932 days 14325.6
TCGA-AF-3911-01A 48 years, male, white, stage:Stage IIIC, alive, 1148 days 14311.7
TCGA-EI-6881-01A 60 years, male, white, stage:Stage IIIA, alive, 499 days 14287.6
TCGA-AH-6644-01A 73 years, male, white, stage:'--, alive, 838 days 13937.4
TCGA-EI-6512-01A 64 years, female, white, stage:Stage IIIB, alive, 538 days 13767.3
TCGA-F5-6465-01A 64 years, female, white, stage:Stage IIA, alive, 1506 days 13713.7
TCGA-AG-4021-01A 84 years, female, stage:Stage IV, dead, 121 days 13312.8
TCGA-F5-6464-01A 77 years, female, white, stage:Stage IIIC, dead, 303 days 13028.6
TCGA-EI-6508-01A 48 years, female, white, stage:Stage IIIB, alive, 636 days 12972.3
TCGA-AH-6549-01A 66 years, male, white, stage:'--, alive, 532 days 12915.1
TCGA-DC-6683-01A 43 years, male, white, stage:Stage IIIB, alive, 762 days 12758.6
TCGA-AG-3731-01A 65 years, male, stage:Stage IV, alive, 1126 days 12288.8
TCGA-AF-6655-01A 66 years, male, white, stage:Stage IIIA, alive, 609 days 11911.4
TCGA-AF-6136-01A 72 years, female, white, stage:Stage IIIB, alive, 741 days 11822.7
TCGA-CL-5917-01A 71 years, female, white, stage:Stage IIIC, alive, 2376 days 11409.3
TCGA-DC-6157-01A 48 years, male, black or african american, stage:Stage I, alive, 1581 days 10889.7
TCGA-EI-6511-01A 52 years, male, white, stage:Stage IIIB, alive, 482 days 10742.2
TCGA-DC-6156-01A 62 years, male, white, stage:Stage IVA, alive, 943 days 10710.1
TCGA-F5-6861-01A 60 years, female, white, stage:Stage IIA, alive, 1160 days 10042.6
TCGA-DC-6160-01A 68 years, male, white, stage:Stage I, alive, 1339 days 9969.2
TCGA-AF-2693-01A 75 years, male, white, stage:Stage I, alive, 1155 days 9734.4
TCGA-AF-A56N-01A 47 years, female, black or african american, stage:Stage IIA, alive, 360 days 9719.4
TCGA-F5-6864-01A 74 years, female, white, stage:Stage IIIB, alive, 379 days 9478.8
TCGA-F5-6814-01A 57 years, male, white, stage:Stage IIA, alive, 1131 days 9166.4
TCGA-AF-A56L-01A 48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days 8963.2
TCGA-AG-3591-01A 66 years, female, stage:Stage IIA, alive, 1035 days 8941.1
TCGA-AF-4110-01A 77 years, male, white, stage:Stage IVA, alive, 912 days 8806.7
TCGA-AF-2690-01A 76 years, female, white, stage:Stage IIIC, dead, 524 days 8658.3
TCGA-DC-6158-01A 70 years, male, white, stage:Stage I, dead, 334 days 8634.5
TCGA-DC-4749-01A 57 years, male, white, stage:Stage I, alive, 762 days 8569.0
TCGA-DC-6681-01A 70 years, female, white, stage:Stage IVA, alive, 790 days 8416.2
TCGA-AG-3902-01A 61 years, male, stage:Stage IIA, alive, 974 days 8240.7
TCGA-EI-6883-01A 63 years, male, white, stage:Stage IIC, alive, 350 days 6722.3
TCGA-EI-6882-01A 59 years, male, white, stage:Stage IIA, alive, 262 days 6287.4
TCGA-EI-6507-01A 60 years, male, white, stage:Stage IIA, alive, 607 days 6184.8
TCGA-F5-6863-01A 71 years, female, white, stage:Stage IIIB, dead, 361 days 5976.9
TCGA-EI-6885-01A 57 years, female, white, stage:Stage IV, alive, 415 days 5051.0
TCGA-EI-6917-01A 33 years, male, white, stage:Stage IIIA, alive, 531 days 4241.5
TCGA-EI-7002-01A 58 years, male, white, stage:Stage IV, alive, 364 days 4049.9
TCGA-AH-6897-01A 48 years, male, white, stage:Stage I, alive, 804 days 3980.6
TCGA-EI-6884-01A 71 years, male, white, stage:Stage IIIA, alive, 328 days 3961.4
TCGA-DC-6154-01A 57 years, female, white, stage:Stage IVA, alive, 365 days 3499.9
TCGA-DC-4745-01A 49 years, female, white, stage:Stage IIIB, alive, 639 days 3203.5
TCGA-EI-7004-01A 37 years, female, white, stage:'--, alive, 257 days 2581.0
TCGA-DC-5337-01A 69 years, male, white, stage:Stage I, alive, 792 days 2125.9
TCGA-DC-6155-01A 31 years, female, white, stage:Stage IIIA, alive, 425 days 1871.3
TCGA-DC-5869-01A 62 years, female, black or african american, stage:Stage IIIB, alive, 943 days 1641.8
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-ATP6 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.

: 18678
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 24978.0
Number of samples 207
Samples
Sample Description pTPM
U0576 69 years, male, NA, stage:T3N2M0, alive, 2540 days 70437.0
U0675 84 years, female, NA, stage:T4N1M0, dead, 89 days 69512.0
U0188 76 years, female, NA, stage:T3N1M0, alive, 2134 days 58646.0
U0596 61 years, male, NA, stage:T3N0M0, alive, 2233 days 56927.2
U0556 66 years, male, NA, stage:T3N2M0, alive, 2037 days 56624.6
U0686 77 years, female, NA, stage:T4bN0M0, dead, 123 days 56185.1
U0298 72 years, male, NA, stage:T3N1M0, alive, 513 days 53670.2
U0587 47 years, male, NA, stage:T3N1M0, alive, 2107 days 52971.3
U0804 66 years, female, NA, stage:T3N2M1, dead, 380 days 51029.5
U0594 71 years, male, NA, stage:T3N0M0, alive, 2852 days 50835.4
U0533 68 years, male, NA, stage:T3N2M0, alive, 2248 days 50733.3
U0542 68 years, male, NA, stage:T3N2M0, dead, 1482 days 46758.6
U0212 77 years, male, NA, stage:T3N0M1, alive, 1330 days 44592.6
U0577 59 years, female, NA, stage:T3N2M0, alive, 2474 days 44528.5
U0458 49 years, male, NA, stage:T3N2M0, alive, 1073 days 44394.2
U0346 67 years, male, NA, stage:T4N2M0, alive, 1148 days 44128.8
U0694 85 years, male, NA, stage:T4N0M0, dead, 489 days 43889.3
U0848 86 years, male, NA, stage:T3N1M1, dead, 1185 days 43077.0
U0666 59 years, male, NA, stage:T3N1M0, alive, 709 days 42200.3
U0366 67 years, male, NA, stage:T3NXM1, alive, 895 days 42101.4
U0579 65 years, female, NA, stage:T4aN0M0, alive, 2845 days 41906.8
U0468 38 years, female, NA, stage:T3N0M0, alive, 1921 days 40685.5
U0552 67 years, male, NA, stage:T3N2M0, alive, 1701 days 40464.6
U0595 71 years, male, NA, stage:T2N0M0, alive, 2535 days 40251.6
U0793 80 years, male, NA, stage:T3N1M1, dead, 195 days 40106.3
U0088 86 years, male, NA, stage:T3N1M1, dead, 260 days 39937.8
U0642 87 years, male, NA, stage:T3N0M0, alive, 1603 days 39789.4
U0862 75 years, male, NA, stage:T4N2M1, dead, 1064 days 39767.5
U0431 59 years, female, NA, stage:T3N1M0, alive, 695 days 39742.5
U0241 76 years, female, NA, stage:T2N1M0, alive, 552 days 39197.4
U0251 71 years, male, NA, stage:T2N0M0, alive, 1906 days 39042.6
U0497 66 years, female, NA, stage:T3N1M0, alive, 1414 days 39034.8
U0805 65 years, male, NA, stage:T3N1M1, dead, 731 days 38747.4
U0538 73 years, female, NA, stage:T3N1M0, alive, 1308 days 38346.5
U0539 66 years, male, NA, stage:T4N2M0, alive, 2017 days 38234.9
U0550 43 years, male, NA, stage:T3N2M0, alive, 2191 days 37588.4
U0324 70 years, female, NA, stage:T4N1M0, alive, 938 days 37308.3
U0220 76 years, male, NA, stage:T2N0M0, alive, 1066 days 36777.5
U0194 79 years, male, NA, stage:T3N1M0, alive, 680 days 36115.7
U0294 73 years, male, NA, stage:T4N0M1, alive, 561 days 36035.2
U0861 62 years, female, NA, stage:T4N2M1, dead, 184 days 34967.6
U0140 80 years, male, NA, stage:T3N2M0, alive, 2655 days 34147.4
U0803 68 years, female, NA, stage:T3N1M1, dead, 495 days 34104.5
U0498 72 years, female, NA, stage:T4N1M0, alive, 1906 days 33737.2
U0406 58 years, female, NA, stage:T4N2M1, dead, 778 days 33641.6
U0820 74 years, male, NA, stage:T3NXM1, dead, 622 days 33395.3
U0555 60 years, male, NA, stage:T3N2M0, alive, 2043 days 33327.5
U0079 86 years, male, NA, stage:T4N2M0, dead, 1891 days 33113.3
U0417 54 years, female, NA, stage:T3N2M1, dead, 893 days 32947.5
U0284 73 years, male, NA, stage:T3N2M0, alive, 581 days 32897.0
U0128 86 years, female, NA, stage:T3N1M0, alive, 449 days 32895.3
U0865 72 years, female, NA, stage:T3N1M1, dead, 856 days 32820.4
U0364 67 years, female, NA, stage:T4N2M1, dead, 151 days 32624.5
U0558 63 years, female, NA, stage:T3N2M0, alive, 2011 days 32505.7
U0299 71 years, female, NA, stage:T4N2M0, alive, 43426 days 32489.2
U0351 63 years, female, NA, stage:T3N2M0, alive, 2886 days 32413.1
U0809 85 years, female, NA, stage:T3N1M1, dead, 275 days 32363.7
U0116 85 years, male, NA, stage:T3N1M0, dead, 930 days 32201.5
U0325 67 years, male, NA, stage:T3N0M0, dead, 1947 days 32122.0
U0857 76 years, male, NA, stage:T4N2M1, dead, 954 days 31878.8
U0514 52 years, female, NA, stage:T2N2M0, alive, 2799 days 31718.7
U0545 62 years, male, NA, stage:T3N0M0, alive, 2340 days 31307.1
U0331 64 years, male, NA, stage:T3N1M1, dead, 906 days 31217.6
U0237 71 years, male, NA, stage:T3N1M0, alive, 2492 days 30757.1
U0557 51 years, female, NA, stage:T3N2M0, alive, 2009 days 30740.7
U0311 70 years, female, NA, stage:T3N1M0, alive, 1176 days 30725.5
U0584 66 years, male, NA, stage:T3N2M0, alive, 2705 days 30678.0
U0228 76 years, male, NA, stage:T2N0M0, alive, 963 days 30492.9
U0086 86 years, female, NA, stage:T3N1M0, dead, 594 days 30028.3
U0271 69 years, female, NA, stage:T3N1M0, alive, 2414 days 29842.0
U0568 59 years, male, NA, stage:T4N1M0, alive, 1287 days 29717.8
U0155 77 years, male, NA, stage:T2N0M0, dead, 1672 days 29668.6
U0649 67 years, male, NA, stage:T2N0M0, alive, 1424 days 29118.8
U0647 85 years, female, NA, stage:T3N0M0, alive, 1476 days 29073.8
U0114 84 years, male, NA, stage:T3N0M0, alive, 1910 days 28907.6
U0561 68 years, female, NA, stage:T3N2M0, alive, 1577 days 28897.7
U0494 73 years, male, NA, stage:T4N2M0, alive, 1290 days 28823.3
U0192 76 years, male, NA, stage:T3N0M0, alive, 2081 days 28816.0
U0096 88 years, female, NA, stage:T4N2M1, dead, 257 days 28551.8
U0602 79 years, male, NA, stage:T2N0M0, alive, 1385 days 28352.9
U0434 54 years, male, NA, stage:T2N0M0, alive, 2558 days 28212.9
U0532 72 years, male, NA, stage:T3N0M0, dead, 730 days 27859.8
U0578 42 years, male, NA, stage:T2N2M0, alive, 1724 days 27722.6
U0592 90 years, female, NA, stage:T2N0M0, dead, 670 days 27559.4
U0276 73 years, male, NA, stage:T3N1M1, alive, 934 days 27048.0
U0750 64 years, female, NA, stage:T3N2M0, dead, 1393 days 26968.6
U0553 68 years, female, NA, stage:T3N2M0, alive, 1704 days 26540.3
U0581 66 years, female, NA, stage:T3N2M0, alive, 1660 days 26535.4
U0512 65 years, male, NA, stage:T3N0M0, alive, 2550 days 26461.2
U0374 65 years, female, NA, stage:T2N0M0, alive, 1067 days 26386.9
U0562 58 years, female, NA, stage:T3N1M0, alive, 3092 days 26032.3
U0484 55 years, male, NA, stage:T4N2M0, alive, 1275 days 25427.5
U0485 74 years, male, NA, stage:T3N0M0, dead, 2737 days 25415.8
U0800 74 years, male, NA, stage:T3N2M1, dead, 411 days 25193.1
U0147 78 years, female, NA, stage:T3N0M0, dead, 2085 days 25104.7
U0353 62 years, female, NA, stage:T1N0M0, alive, 2912 days 25079.3
U0572 67 years, female, NA, stage:T3N1M0, alive, 2621 days 24874.6
U0391 64 years, female, NA, stage:T3N0M0, alive, 1179 days 24818.6
U0849 81 years, female, NA, stage:T4N0M1, dead, 267 days 24511.2
U0388 61 years, male, NA, stage:T2N1M0, alive, 2186 days 24075.4
U0671 93 years, male, NA, stage:T3N1M0, dead, 785 days 23819.3
U0535 54 years, female, NA, stage:T4N1M0, alive, 2473 days 23776.9
U0814 80 years, female, NA, stage:T3N1M1, dead, 482 days 23646.2
U0380 62 years, male, NA, stage:T2N0M0, alive, 2155 days 23526.7
U0418 60 years, male, NA, stage:T4N1M0, alive, 1246 days 23464.8
U0519 69 years, male, NA, stage:T4N2M0, dead, 519 days 22711.1
U0329 70 years, male, NA, stage:T3N1M0, dead, 805 days 22564.2
U0132 82 years, male, NA, stage:T3N1M0, alive, 1798 days 22516.2
U0437 57 years, male, NA, stage:T1N1M0, alive, 849 days 22433.3
U2761 74 years, female, NA, stage:T3N1M0, alive, 447 days 22264.1
U0405 63 years, male, NA, stage:T3N1M0, alive, 829 days 22053.7
U0600 72 years, male, NA, stage:T3N1M0, alive, 1659 days 21918.1
U0593 74 years, male, NA, stage:T4bN0M0, alive, 876 days 21865.1
U0511 92 years, female, NA, stage:T3N0M0, dead, 2387 days 21829.0
U0279 74 years, male, NA, stage:T2N1M0, dead, 176 days 21640.1
U0652 76 years, male, NA, stage:T3N0M0, alive, 1319 days 21442.5
U0304 68 years, male, NA, stage:T3N2M0, alive, 2065 days 21361.2
U0643 58 years, female, NA, stage:T2N1M0, dead, 1583 days 21324.1
U0658 75 years, male, NA, stage:T3N2M0, alive, 1108 days 21281.8
U0603 73 years, male, NA, stage:T2N1M0, alive, 1904 days 21091.5
U0707 59 years, male, NA, stage:T3N1M0, alive, 518 days 20985.1
U0238 73 years, male, NA, stage:T3N0M0, dead, 868 days 20918.8
U0641 61 years, female, NA, stage:T3N0M0, dead, 1626 days 20858.7
U0409 61 years, female, NA, stage:T3N1M0, alive, 934 days 20353.0
U0713 63 years, male, NA, stage:T2N0M0, alive, 359 days 19994.1
U0565 84 years, male, NA, stage:T4N1M0, alive, 1452 days 19629.7
U0591 81 years, male, NA, stage:T2N0M0, alive, 1023 days 19437.2
U0601 75 years, female, NA, stage:T4N1M0, alive, 1368 days 19195.4
U0508 70 years, male, NA, stage:T3N1M0, alive, 1120 days 19149.8
U0415 56 years, male, NA, stage:T3N1M0, alive, 2526 days 19003.1
U0802 70 years, male, NA, stage:T3N2M1, dead, 338 days 18833.0
U0097 83 years, male, NA, stage:T3N0M1, dead, 2903 days 18761.8
U0258 73 years, male, NA, stage:T4N1M2, dead, 195 days 18739.9
U0640 64 years, male, NA, stage:T2N0M0, alive, 1696 days 18616.0
U0339 64 years, male, NA, stage:T3N2M0, alive, 2155 days 18441.8
U0322 67 years, male, NA, stage:T4N2M0, alive, 1694 days 18330.1
U0650 57 years, female, NA, stage:T2N2M0, alive, 1331 days 18297.1
U0478 75 years, male, NA, stage:T4N2M0, alive, 2051 days 18173.5
U0470 39 years, female, NA, stage:T2N2M0, alive, 961 days 18055.3
U0359 64 years, male, NA, stage:T3N2M0, dead, 2443 days 17801.7
U3023 63 years, female, NA, stage:T2N0M0, alive, 404 days 17618.8
U0213 71 years, male, NA, stage:T3N1M0, alive, 3018 days 17374.0
U0605 74 years, male, NA, stage:T2N0M0, alive, 952 days 17335.0
U0648 65 years, female, NA, stage:T3N0M0, alive, 1415 days 17169.0
U0645 60 years, male, NA, stage:T3N0M0, alive, 1567 days 17098.8
U0654 72 years, male, NA, stage:T3N2M0, alive, 1220 days 17082.6
U0296 67 years, male, NA, stage:T3N0M0, alive, 2610 days 16417.3
U0293 67 years, male, NA, stage:T3N1M0, alive, 2717 days 16365.0
U0190 75 years, male, NA, stage:T3N0M0, alive, 2367 days 16284.3
U2991 77 years, female, NA, stage:T1N0M0, alive, 135 days 15601.0
U0657 46 years, female, NA, stage:T2N0M0, dead, 1109 days 15531.5
U0371 62 years, female, NA, stage:T3N0M0, alive, 2688 days 15308.4
U0205 72 years, female, NA, stage:T3N2M0, alive, 2984 days 15055.4
U0776 62 years, male, NA, stage:T4N2M0, alive, 1702 days 15001.2
U0423 55 years, female, NA, stage:T4N2M0, alive, 2735 days 14675.5
U0492 63 years, male, NA, stage:T3N2M0, alive, 1114 days 14455.8
U0651 70 years, male, NA, stage:T3N0M0, alive, 1354 days 14407.5
U0080 86 years, female, NA, stage:T3N0M0, dead, 489 days 14044.7
U0001 69 years, female, NA, stage:T3N0M0, alive, 3188 days 14022.8
U2834 70 years, male, NA, stage:T3N1M0, alive, 323 days 13993.7
U0466 40 years, male, NA, stage:T3N0M0, alive, 1381 days 13674.9
U0282 70 years, male, NA, stage:T3N2M0, dead, 1869 days 13303.1
U0232 71 years, female, NA, stage:T2N0M0, dead, 994 days 13231.8
U0243 69 years, female, NA, stage:T3N2M0, alive, 2975 days 13185.2
U0334 64 years, male, NA, stage:T3N1M0, alive, 3171 days 13122.7
U0173 77 years, male, NA, stage:T2N0M0, dead, 2375 days 12965.3
U0230 70 years, female, NA, stage:T1N1M0, alive, 3152 days 12780.8
U0138 80 years, male, NA, stage:T3N1M0, dead, 2472 days 12674.2
U2836 87 years, male, NA, stage:T3N0M0, alive, 322 days 12603.8
U0305 66 years, male, NA, stage:T3N1M0, alive, 2676 days 12278.8
U0663 78 years, female, NA, stage:T3N1M0, alive, 762 days 12263.6
U0852 36 years, male, NA, stage:T3N2M1, alive, 1651 days 12029.9
U2960 52 years, male, NA, stage:T3N1M0, alive, 176 days 11667.8
U2955 50 years, male, NA, stage:T3N1M0, alive, 181 days 11321.4
U0457 50 years, male, NA, stage:T3N0M0, alive, 833 days 11197.7
U0255 68 years, female, NA, stage:T3N2M0, dead, 1079 days 10837.9
U0407 59 years, male, NA, stage:T3N1M0, dead, 2027 days 10550.1
U2764 65 years, male, NA, stage:T3N2M0, alive, 440 days 10495.6
U0604 67 years, male, NA, stage:T3N1M0, alive, 1522 days 10435.4
U0695 85 years, male, NA, stage:T3N0M0, alive, 566 days 10244.2
U3047 70 years, male, NA, stage:T3N2M0, alive, 205 days 10186.6
U0454 46 years, male, NA, stage:T3N1M0, alive, 2997 days 10136.3
U2779 74 years, male, NA, stage:T3N0M0, alive, 419 days 10096.6
U0637 56 years, male, NA, stage:T3N1M0, alive, 1997 days 10045.9
U0402 58 years, female, NA, stage:T3N1M0, dead, 2487 days 9847.1
U0264 69 years, male, NA, stage:T4N2M0, alive, 2020 days 9715.9
U0534 69 years, female, NA, stage:T3N2M0, alive, 1361 days 9239.7
U0137 80 years, male, NA, stage:T3N1M0, dead, 1799 days 8617.1
U0656 68 years, male, NA, stage:T3N2M0, alive, 1150 days 8571.5
U0030 82 years, female, NA, stage:T2N0M0, dead, 987 days 8551.1
U0242 69 years, male, NA, stage:T3N0M0, alive, 2950 days 8415.5
U0422 56 years, female, NA, stage:T3N2M1, dead, 1710 days 8182.5
U0120 80 years, female, NA, stage:T3N0M0, alive, 3233 days 8024.7
U2994 70 years, female, NA, stage:T4N1M0, alive, 132 days 7961.1
U0343 69 years, female, NA, stage:T2N0M0, alive, 701 days 7826.2
U0077 86 years, female, NA, stage:T2N0M0, dead, 588 days 7503.5
U0638 52 years, male, NA, stage:T2N0M0, alive, 1801 days 7070.2
U0174 81 years, male, NA, stage:T3N0M0, alive, 450 days 6872.6
U0159 79 years, female, NA, stage:T3N1M0, alive, 1517 days 5650.3
U3049 72 years, male, NA, stage:T2N0M0, alive, 533 days 5564.7
U2943 79 years, male, NA, stage:T3N0M0, alive, 189 days 5537.0
U0093 85 years, male, NA, stage:T3N2M0, dead, 1118 days 5156.8
U0430 55 years, male, NA, stage:T3N2M0, dead, 2472 days 5073.6
U0502 65 years, male, NA, stage:T4N1M0, alive, 1065 days 5012.6
U0216 72 years, male, NA, stage:T2N0M0, alive, 2684 days 4660.8
U2972 91 years, male, NA, stage:T3N0M0, alive, 161 days 4622.4
U0118 81 years, female, NA, stage:T3N2M0, dead, 350 days 4343.3
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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.

Pending cancer tissue analysis

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