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MT-ND5
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  • MT-ND5
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-ND5 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.

: 1686.52
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 1228.6
Number of samples 254
Samples
Sample Description pTPM
TCGA-NH-A6GC-01A 66 years, female, black or african american, stage:Stage IVB, alive, 389 days 9213.8
TCGA-D5-6541-01A 49 years, male, white, stage:Stage IIA, alive, 474 days 5414.3
TCGA-NH-A8F7-01A 53 years, female, black or african american, stage:Stage IIA, alive, 543 days 5146.3
TCGA-A6-A5ZU-01A 59 years, male, black or african american, stage:Stage IIIB, alive, 293 days 4703.6
TCGA-G4-6323-01A 50 years, male, black or african american, stage:Stage IA, alive, 419 days 4136.8
TCGA-AU-6004-01A 69 years, female, white, stage:Stage I, alive, 824 days 3883.4
TCGA-NH-A6GB-01A 71 years, female, black or african american, stage:Stage IIIC, alive, 476 days 3687.0
TCGA-AA-3662-01A 80 years, female, stage:Stage IV, alive, 184 days 3481.0
TCGA-A6-6782-01A 82 years, male, white, stage:Stage IIB, alive, 617 days 3287.6
TCGA-AY-A71X-01A 54 years, female, black or african american, stage:Stage I, alive, 588 days 3215.6
TCGA-4T-AA8H-01A 42 years, female, black or african american, stage:Stage IIA, alive, 385 days 3075.2
TCGA-A6-A565-01A 34 years, female, black or african american, stage:Stage IIIC, dead, 494 days 2969.5
TCGA-NH-A50V-01A 69 years, male, black or african american, stage:Stage IIIB, alive, 588 days 2801.2
TCGA-D5-6530-01A 53 years, male, white, stage:Stage I, alive, 621 days 2709.2
TCGA-G4-6293-01A 49 years, female, white, stage:Stage III, alive, 4051 days 2406.1
TCGA-QG-A5YW-01A 55 years, female, black or african american, stage:Stage IIIC, alive, 896 days 2394.4
TCGA-DM-A28G-01A 75 years, male, white, stage:Stage IIA, dead, 1849 days 2384.8
TCGA-A6-6141-01A 31 years, male, black or african american, stage:Stage IIA, alive, 255 days 2382.0
TCGA-T9-A92H-01A 82 years, male, black or african american, stage:Stage IIA, alive, 362 days 2356.2
TCGA-G4-6307-01A 37 years, female, white, stage:Stage IIIB, alive, 1674 days 2345.9
TCGA-AY-A8YK-01A 44 years, male, black or african american, stage:Stage IVA, alive, 573 days 2293.9
TCGA-AA-3655-01A 68 years, male, stage:Stage II, alive, 1856 days 2276.0
TCGA-A6-6652-01A 59 years, male, black or african american, stage:Stage IVA, alive, 751 days 2248.1
TCGA-AA-3511-01A 64 years, male, stage:Stage II, alive, 212 days 2221.5
TCGA-NH-A8F8-01A 79 years, male, black or african american, stage:Stage IV, dead, 511 days 2203.7
TCGA-A6-A567-01A 56 years, male, black or african american, stage:Stage IV, dead, 1881 days 2195.7
TCGA-F4-6460-01A 51 years, female, white, stage:Stage IIIB, dead, 972 days 2190.6
TCGA-G4-6321-01A 60 years, female, white, stage:Stage III, alive, 672 days 2134.3
TCGA-NH-A50U-01A 42 years, male, black or african american, stage:Stage IVA, dead, 334 days 2111.0
TCGA-D5-6539-01A 45 years, female, white, stage:'--, alive, 380 days 2074.1
TCGA-AY-A54L-01A 74 years, female, black or african american, stage:Stage I, alive, 525 days 2063.8
TCGA-AA-3713-01A 68 years, male, stage:Stage IV, alive, 579 days 2063.7
TCGA-D5-6531-01A 75 years, male, white, stage:Stage IIA, alive, 540 days 1991.1
TCGA-CM-5344-01A 39 years, female, white, stage:Stage IIIB, alive, 670 days 1976.8
TCGA-A6-6650-01A 69 years, female, black or african american, stage:Stage IIA, alive, 627 days 1957.6
TCGA-D5-6540-01A 66 years, male, white, stage:Stage I, alive, 491 days 1901.5
TCGA-G4-6310-01A 69 years, male, white, stage:Stage IIIB, alive, 1935 days 1899.0
TCGA-DM-A28C-01A 74 years, male, white, stage:Stage IIA, dead, 2475 days 1891.6
TCGA-CM-6165-01A 74 years, male, white, stage:Stage IIA, alive, 488 days 1891.3
TCGA-A6-6651-01A 55 years, female, white, stage:Stage IIIB, alive, 662 days 1847.9
TCGA-CM-5348-01A 72 years, male, white, stage:Stage IIIB, alive, 699 days 1846.8
TCGA-WS-AB45-01A 52 years, female, black or african american, stage:Stage IIA, alive, 2130 days 1836.9
TCGA-DM-A285-01A 71 years, female, white, stage:Stage IV, dead, 179 days 1820.6
TCGA-A6-5667-01A 40 years, female, white, stage:Stage IIIB, alive, 887 days 1807.7
TCGA-AA-A02Y-01A 73 years, male, stage:Stage I, alive, 1216 days 1800.9
TCGA-G4-6627-01A 84 years, male, white, stage:Stage IIA, alive, 2175 days 1783.3
TCGA-CK-4950-01A 68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days 1778.2
TCGA-QL-A97D-01A 84 years, female, black or african american, stage:Stage I, alive, 666 days 1775.3
TCGA-QG-A5Z2-01A 61 years, male, black or african american, stage:Stage I, alive, 952 days 1764.1
TCGA-CM-5863-01A 60 years, female, white, stage:Stage IIIB, alive, 457 days 1757.7
TCGA-AY-A69D-01A 55 years, female, black or african american, stage:Stage IIA, alive, 543 days 1751.4
TCGA-AA-A02K-01A 50 years, male, stage:Stage IV, dead, 426 days 1737.4
TCGA-A6-2675-01A 78 years, male, white, stage:Stage IIA, alive, 1321 days 1733.9
TCGA-AY-6196-01A 47 years, male, white, stage:Stage IIIC, alive, 6 days 1733.1
TCGA-AY-6197-01A 60 years, male, white, stage:Stage IIA, alive, 652 days 1713.6
TCGA-AD-5900-01A 67 years, male, white, stage:Stage I, alive, 370 days 1703.4
TCGA-AZ-6608-01A 55 years, female, white, stage:Stage IIIA, dead, 59 days 1669.6
TCGA-DM-A0XD-01A 65 years, male, white, stage:Stage IIA, dead, 743 days 1651.3
TCGA-CM-6163-01A 74 years, male, white, stage:Stage I, alive, 427 days 1649.0
TCGA-4N-A93T-01A 67 years, male, black or african american, stage:Stage IIIB, alive, 146 days 1645.3
TCGA-A6-6140-01A 62 years, male, white, stage:Stage IIA, alive, 734 days 1624.6
TCGA-DM-A1D9-01A 67 years, female, white, stage:Stage IIA, alive, 4270 days 1615.1
TCGA-CM-6169-01A 67 years, male, black or african american, stage:Stage IIA, alive, 396 days 1599.3
TCGA-G4-6294-01A 75 years, male, white, stage:Stage IV, dead, 858 days 1597.8
TCGA-RU-A8FL-01A 51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days 1588.4
TCGA-F4-6809-01A 52 years, female, white, stage:Stage IVA, dead, 403 days 1567.8
TCGA-AZ-4323-01A 37 years, male, white, stage:Stage IV, dead, 43 days 1566.3
TCGA-NH-A6GA-01A 58 years, male, black or african american, stage:Stage IIIC, dead, 302 days 1563.6
TCGA-5M-AAT6-01A 40 years, female, black or african american, stage:Stage IV, dead, 290 days 1514.2
TCGA-A6-A56B-01A 57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days 1514.1
TCGA-DM-A280-01A 70 years, female, white, stage:Stage IIA, dead, 236 days 1513.6
TCGA-A6-5664-01A 80 years, male, black or african american, stage:Stage IIIC, alive, 672 days 1509.2
TCGA-A6-6137-01A 55 years, male, white, stage:Stage IIIB, alive, 824 days 1477.2
TCGA-G4-6588-01A 58 years, female, white, stage:Stage IIA, alive, 796 days 1451.5
TCGA-AZ-6601-01A 68 years, male, white, stage:Stage II, dead, 3042 days 1446.2
TCGA-F4-6808-01A 54 years, female, white, stage:Stage I, alive, 1024 days 1439.7
TCGA-QG-A5YX-01A 61 years, female, black or african american, stage:Stage IIA, alive, 1003 days 1423.2
TCGA-AA-3496-01A 83 years, female, stage:Stage II, alive, 31 days 1410.1
TCGA-D5-5539-01A 60 years, male, white, stage:Stage IIIA, alive, 596 days 1407.9
TCGA-CM-6161-01A 36 years, female, white, stage:Stage I, alive, 457 days 1390.4
TCGA-CK-6747-01A 87 years, female, white, stage:Stage IIA, alive, 820 days 1375.9
TCGA-AY-6386-01A 66 years, female, black or african american, stage:Stage IIIB, alive, 542 days 1372.4
TCGA-CM-4743-01A 69 years, male, white, stage:Stage IIA, alive, 701 days 1370.4
TCGA-CM-4751-01A 62 years, male, white, stage:Stage IIIB, alive, 822 days 1369.9
TCGA-AZ-6603-01A 77 years, female, white, stage:'--, dead, 899 days 1359.8
TCGA-G4-6297-01A 55 years, female, white, stage:Stage IV, alive, 2506 days 1359.4
TCGA-F4-6459-01A 61 years, female, white, stage:Stage IIIB, dead, 262 days 1345.3
TCGA-NH-A50T-01A 68 years, female, black or african american, stage:Stage IIA, alive, 553 days 1331.0
TCGA-G4-6322-01A 65 years, male, white, stage:Stage IIIB, alive, 792 days 1329.9
TCGA-AZ-6598-01A 77 years, female, white, stage:Stage II, dead, 1503 days 1328.6
TCGA-A6-6649-01A 66 years, male, white, stage:Stage IIIB, alive, 735 days 1328.3
TCGA-AD-6963-01A 58 years, male, white, stage:'--, alive, 834 days 1327.4
TCGA-AZ-6605-01A 77 years, male, white, stage:Stage IIIB, dead, 159 days 1320.9
TCGA-D5-7000-01A 79 years, female, white, stage:Stage I, alive, 312 days 1305.6
TCGA-CM-6168-01A 84 years, female, black or african american, stage:Stage IIA, alive, 395 days 1295.1
TCGA-5M-AATE-01A 76 years, male, black or african american, stage:Stage IIA, alive, 1200 days 1291.6
TCGA-A6-6648-01A 56 years, male, white, stage:Stage IVA, alive, 766 days 1291.5
TCGA-DM-A1HA-01A 82 years, male, white, stage:Stage IIIC, alive, 2600 days 1287.5
TCGA-G4-6311-01A 80 years, male, white, stage:Stage III, alive, 1199 days 1281.8
TCGA-D5-6534-01A 62 years, female, white, stage:Stage IIA, alive, 1316 days 1272.8
TCGA-D5-6535-01A 80 years, female, white, stage:Stage IIIB, alive, 460 days 1259.5
TCGA-CM-5861-01A 63 years, female, white, stage:Stage IIA, alive, 457 days 1249.9
TCGA-DM-A282-01A 60 years, female, white, stage:Stage IIA, alive, 4233 days 1249.8
TCGA-D5-6920-01A 77 years, female, white, stage:Stage IIA, alive, 377 days 1246.0
TCGA-G4-6625-01A 77 years, female, white, stage:Stage IIA, alive, 2792 days 1245.9
TCGA-DM-A1D8-01A 50 years, female, white, stage:'--, dead, 383 days 1244.1
TCGA-CM-6170-01A 73 years, female, white, stage:Stage I, alive, 457 days 1243.0
TCGA-F4-6463-01A 51 years, male, white, stage:Stage IIA, alive, 1087 days 1214.4
TCGA-F4-6805-01A 58 years, female, white, stage:Stage IIA, alive, 1047 days 1202.1
TCGA-G4-6320-01A 73 years, male, white, stage:Stage III, alive, 804 days 1201.4
TCGA-G4-6306-01A 71 years, male, white, stage:'--, alive, 1359 days 1195.0
TCGA-D5-5537-01A 83 years, male, white, stage:'--, dead, 1381 days 1179.3
TCGA-CA-6718-01A 46 years, male, asian, stage:Stage IIA, dead, 306 days 1176.9
TCGA-F4-6461-01A 41 years, female, white, stage:Stage IIIC, dead, 338 days 1173.5
TCGA-DM-A1D4-01A 80 years, male, white, stage:Stage IIA, dead, 2821 days 1172.3
TCGA-5M-AAT4-01A 74 years, male, black or african american, stage:Stage IV, dead, 49 days 1156.3
TCGA-QG-A5Z1-01A 71 years, male, black or african american, stage:Stage IIIB, dead, 256 days 1151.6
TCGA-AA-3660-01A 51 years, female, stage:Stage II, alive, 2375 days 1127.7
TCGA-D5-6923-01A 57 years, male, white, stage:Stage I, alive, 378 days 1117.5
TCGA-F4-6569-01A 60 years, male, white, stage:Stage I, alive, 1087 days 1116.7
TCGA-DM-A1D0-01A 79 years, female, white, stage:Stage IIA, alive, 3974 days 1105.5
TCGA-G4-6309-01A 40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days 1104.3
TCGA-F4-6703-01A 64 years, male, white, stage:Stage IIA, alive, 1456 days 1085.7
TCGA-D5-6536-01A 73 years, male, white, stage:Stage IIA, alive, 543 days 1083.8
TCGA-D5-6932-01A 69 years, male, white, stage:Stage IIA, alive, 346 days 1082.1
TCGA-CA-5255-01A 45 years, male, asian, stage:Stage IIA, alive, 376 days 1081.4
TCGA-CM-6167-01A 57 years, female, black or african american, stage:Stage IIIC, alive, 456 days 1079.6
TCGA-CM-6171-01A 77 years, female, white, stage:Stage I, alive, 427 days 1077.7
TCGA-D5-6529-01A 69 years, male, white, stage:Stage IIA, alive, 614 days 1057.1
TCGA-D5-6533-01A 68 years, female, white, stage:'--, alive, 775 days 1052.8
TCGA-D5-6538-01A 79 years, female, white, stage:Stage IIIB, alive, 521 days 1049.2
TCGA-SS-A7HO-01A 44 years, female, black or african american, stage:Stage IIB, alive, 1829 days 1033.8
TCGA-A6-6654-01A 65 years, female, white, stage:Stage IIIB, alive, 726 days 1017.8
TCGA-F4-6807-01A 51 years, female, white, stage:Stage IIIC, alive, 1309 days 995.4
TCGA-A6-6138-01A 61 years, male, white, stage:Stage I, alive, 685 days 990.0
TCGA-CM-6680-01A 78 years, female, white, stage:Stage IIIB, alive, 366 days 979.7
TCGA-CK-6751-01A 88 years, female, white, stage:Stage I, alive, 518 days 969.7
TCGA-G4-6628-01A 78 years, male, white, stage:Stage I, alive, 2424 days 960.6
TCGA-G4-6295-01A 70 years, female, white, stage:Stage II, alive, 254 days 956.4
TCGA-F4-6570-01A 78 years, female, white, stage:Stage IIA, dead, 188 days 956.1
TCGA-3L-AA1B-01A 61 years, female, black or african american, stage:Stage I, alive, 475 days 948.3
TCGA-AZ-6599-01A 72 years, male, white, stage:Stage I, dead, 206 days 943.8
TCGA-F4-6806-01A 59 years, female, white, stage:Stage I, alive, 1260 days 939.0
TCGA-CM-6172-01A 70 years, female, white, stage:Stage IIIB, alive, 335 days 931.7
TCGA-CK-5916-01A 71 years, female, white, stage:Stage I, dead, 643 days 928.4
TCGA-CM-6679-01A 58 years, male, white, stage:Stage IIA, alive, 306 days 922.6
TCGA-CK-6748-01A 45 years, female, white, stage:Stage IV, alive, 61 days 918.7
TCGA-A6-5665-01A 84 years, female, white, stage:Stage IIA, alive, 671 days 910.5
TCGA-D5-6898-01A 51 years, female, white, stage:Stage I, alive, 229 days 907.8
TCGA-AD-6548-01A 81 years, female, white, stage:Stage I, alive, 650 days 896.7
TCGA-A6-5661-01A 80 years, female, black or african american, stage:Stage IIA, alive, 1020 days 896.6
TCGA-DM-A28F-01A 73 years, male, white, stage:Stage IIIB, dead, 1094 days 895.8
TCGA-CM-5349-01A 68 years, female, white, stage:Stage IIA, alive, 915 days 866.3
TCGA-AA-3489-01A 75 years, male, stage:Stage II, dead, 214 days 843.5
TCGA-AY-5543-01A 65 years, female, black or african american, stage:Stage IVA, alive, 1004 days 835.6
TCGA-G4-6314-01A 76 years, female, white, stage:Stage IV, alive, 1093 days 834.7
TCGA-AD-6889-01A 76 years, male, asian, stage:Stage IIA, dead, 2532 days 825.9
TCGA-AA-3697-01A 77 years, male, stage:Stage II, alive, 2587 days 820.4
TCGA-CM-6164-01A 46 years, female, white, stage:Stage IIA, alive, 883 days 769.3
TCGA-D5-6922-01A 76 years, male, white, stage:Stage IIIA, alive, 308 days 769.0
TCGA-G4-6626-01A 90 years, male, white, stage:Stage IIA, dead, 1 days 767.7
TCGA-G4-6586-01A 73 years, female, white, stage:Stage IIA, alive, 1089 days 766.5
TCGA-DM-A28K-01A 75 years, male, white, stage:Stage IIA, alive, 2988 days 761.3
TCGA-CA-6717-01A 57 years, male, asian, stage:Stage IIA, alive, 388 days 757.0
TCGA-DM-A1HB-01A 75 years, male, white, stage:Stage IIIB, alive, 4126 days 748.1
TCGA-AU-3779-01A 80 years, female, white, stage:Stage IIA, alive, 441 days 741.5
TCGA-DM-A1D7-01A 82 years, male, white, stage:Stage IIA, dead, 405 days 732.8
TCGA-CA-6716-01A 65 years, male, asian, stage:Stage IIA, alive, 371 days 726.9
TCGA-A6-4105-01A 79 years, male, white, stage:Stage IIA, dead, 442 days 718.0
TCGA-AZ-4616-01A 82 years, female, white, stage:Stage IV, dead, 156 days 716.5
TCGA-AD-6901-01A 78 years, male, white, stage:'--, dead, 682 days 715.0
TCGA-DM-A0XF-01A 68 years, female, white, stage:Stage IIIC, dead, 1162 days 709.9
TCGA-D5-6927-01A 34 years, male, white, stage:Stage IIA, alive, 287 days 709.7
TCGA-A6-5659-01A 82 years, male, white, stage:Stage I, alive, 926 days 703.1
TCGA-CM-6676-01A 82 years, male, white, stage:Stage I, alive, 337 days 688.9
TCGA-DM-A288-01A 68 years, male, white, stage:Stage IIIC, dead, 427 days 686.3
TCGA-A6-A566-01A 55 years, female, black or african american, stage:Stage IIIB, dead, 758 days 684.6
TCGA-DM-A28H-01A 50 years, male, white, stage:Stage IIIC, alive, 3561 days 672.8
TCGA-AM-5820-01A 59 years, female, white, stage:Stage IVA, alive, 14 days 670.2
TCGA-CM-5868-01A 59 years, female, white, stage:Stage IVA, alive, 518 days 667.9
TCGA-CM-6675-01A 35 years, male, black or african american, stage:Stage IVB, alive, 397 days 664.4
TCGA-AZ-6607-01A 69 years, male, white, stage:Stage IV, dead, 97 days 662.4
TCGA-AD-A5EK-01A 51 years, male, black or african american, stage:Stage I, alive, 500 days 661.9
TCGA-G4-6303-01A 54 years, female, white, stage:Stage IV, dead, 2003 days 651.7
TCGA-A6-5660-01A 73 years, male, black or african american, stage:Stage IIIC, alive, 888 days 645.9
TCGA-DM-A0X9-01A 71 years, female, white, stage:Stage IIA, alive, 3641 days 629.5
TCGA-DM-A1DB-01A 68 years, male, white, stage:Stage IIA, dead, 1348 days 621.3
TCGA-G4-6315-01A 66 years, male, white, stage:Stage IV, alive, 1883 days 618.9
TCGA-A6-6653-01A 82 years, male, white, stage:Stage I, alive, 742 days 616.1
TCGA-DM-A28E-01A 72 years, female, white, stage:Stage IIA, alive, 3648 days 612.8
TCGA-QG-A5YV-01A 64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days 602.1
TCGA-A6-6142-01A 56 years, female, white, stage:Stage IVA, alive, 763 days 598.0
TCGA-AZ-6606-01A 81 years, male, white, stage:Stage IV, dead, 357 days 593.5
TCGA-CK-5912-01A 81 years, male, white, stage:Stage I, dead, 1493 days 589.8
TCGA-DM-A28A-01A 78 years, male, white, stage:Stage IIIC, dead, 805 days 588.5
TCGA-D5-6928-01A 80 years, male, white, stage:Stage IIA, alive, 354 days 572.5
TCGA-A6-5657-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 962 days 569.5
TCGA-A6-5662-01A 46 years, male, white, stage:Stage IVA, alive, 718 days 568.3
TCGA-D5-5538-01A 60 years, female, white, stage:Stage IIIB, dead, 1661 days 552.0
TCGA-DM-A28M-01A 63 years, male, white, stage:Stage IIA, alive, 2895 days 536.3
TCGA-CA-6719-01A 77 years, male, asian, stage:Stage IIA, alive, 435 days 530.8
TCGA-AA-3526-01A 57 years, male, stage:Stage I, alive, 580 days 518.6
TCGA-DM-A1D6-01A 88 years, male, white, stage:Stage IIA, dead, 570 days 511.7
TCGA-D5-6930-01A 67 years, male, white, stage:Stage IIA, alive, 406 days 508.5
TCGA-A6-2686-01A 81 years, female, white, stage:Stage IIA, dead, 1126 days 501.5
TCGA-AD-6964-01A 58 years, male, white, stage:'--, dead, 331 days 496.7
TCGA-F4-6855-01A 70 years, female, white, stage:Stage IIA, alive, 1442 days 483.8
TCGA-D5-6926-01A 65 years, male, white, stage:Stage IIIB, alive, 275 days 480.2
TCGA-F4-6854-01A 77 years, female, white, stage:Stage IIA, alive, 16 days 467.1
TCGA-CK-5913-01A 58 years, female, white, stage:Stage IIA, alive, 1561 days 460.9
TCGA-CA-6715-01A 63 years, male, asian, stage:Stage IIIB, alive, 383 days 453.1
TCGA-CA-5797-01A 56 years, male, asian, stage:Stage IIA, alive, 383 days 449.2
TCGA-AD-6895-01A 84 years, male, white, stage:Stage IIIB, alive, 763 days 448.0
TCGA-A6-5656-01A 74 years, male, white, stage:Stage I, alive, 1001 days 447.3
TCGA-CM-6162-01A 48 years, female, white, stage:Stage IIIB, alive, 365 days 447.1
TCGA-D5-6537-01A 64 years, male, white, stage:Stage IIIB, dead, 146 days 441.5
TCGA-AD-6890-01A 65 years, male, white, stage:'--, alive, 746 days 438.3
TCGA-AD-6899-01A 84 years, male, white, stage:Stage IIIC, dead, 176 days 433.0
TCGA-DM-A1DA-01A 71 years, female, white, stage:Stage IIIC, dead, 228 days 432.5
TCGA-CK-5914-01A 81 years, male, white, stage:Stage IIIB, alive, 669 days 431.8
TCGA-CK-4952-01A 48 years, female, white, stage:Stage IIIC, alive, 475 days 427.4
TCGA-AZ-5407-01A 51 years, female, white, stage:Stage I, alive, 2683 days 409.3
TCGA-AZ-6600-01A 64 years, male, black or african american, stage:Stage IV, dead, 368 days 390.1
TCGA-CA-5254-01A 42 years, female, asian, stage:Stage IIA, alive, 386 days 388.2
TCGA-F4-6704-01A 60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days 384.2
TCGA-CM-6674-01A 39 years, male, white, stage:Stage IIA, alive, 394 days 373.9
TCGA-CM-6678-01A 63 years, female, white, stage:Stage IVA, alive, 335 days 373.7
TCGA-G4-6299-01A 69 years, male, white, stage:Stage IIIC, alive, 2268 days 364.6
TCGA-CM-4744-01A 69 years, male, white, stage:Stage I, alive, 609 days 350.7
TCGA-CM-5864-01A 60 years, male, white, stage:Stage I, alive, 457 days 345.1
TCGA-D5-6931-01A 77 years, male, white, stage:Stage IIIC, alive, 365 days 343.6
TCGA-D5-6532-01A 61 years, male, white, stage:Stage IIA, alive, 555 days 335.3
TCGA-CM-6677-01A 75 years, female, white, stage:Stage IIA, alive, 337 days 328.7
TCGA-G4-6304-01A 66 years, female, white, stage:Stage IIB, alive, 1631 days 316.9
TCGA-CM-6166-01A 48 years, female, white, stage:Stage I, alive, 669 days 300.7
TCGA-AA-3675-01A 84 years, male, stage:Stage II, alive, 1431 days 290.2
TCGA-CM-5862-01A 80 years, male, white, stage:Stage IVA, dead, 153 days 288.2
TCGA-AD-6965-01A 62 years, male, white, stage:Stage IIIC, alive, 805 days 268.1
TCGA-AA-3663-01A 42 years, male, stage:Stage II, alive, 212 days 265.4
TCGA-F4-6856-01A 45 years, male, white, stage:Stage I, alive, 1074 days 257.0
TCGA-AZ-5403-01A 43 years, male, white, stage:Stage II, dead, 1910 days 253.8
TCGA-D5-6924-01A 68 years, male, white, stage:Stage IIA, alive, 435 days 195.1
TCGA-D5-6929-01A 49 years, female, white, stage:Stage IV, alive, 408 days 184.9
TCGA-AD-6888-01A 73 years, male, white, stage:Stage IIIB, dead, 472 days 169.5
TCGA-G4-6317-01A 51 years, female, white, stage:Stage IIIC, alive, 1095 days 161.9
TCGA-AA-3685-01A 69 years, male, stage:Stage II, alive, 1127 days 161.9
TCGA-A6-5666-01A 78 years, male, white, stage:Stage IIC, alive, 995 days 157.6
TCGA-A6-6780-01A 74 years, male, white, stage:Stage IIA, alive, 612 days 156.7
TCGA-A6-3810-01A 62 years, male, white, stage:Stage IIA, alive, 1111 days 115.0
TCGA-AM-5821-01A 68 years, female, white, stage:Stage IIA, alive, 28 days 102.0
TCGA-A6-6781-01A 43 years, male, white, stage:Stage IIIC, alive, 598 days 97.1
TCGA-A6-2674-01A 71 years, male, white, stage:Stage IV, alive, 1331 days 84.1
TCGA-CM-5860-01A 44 years, male, white, stage:Stage IIA, alive, 974 days 82.4
TCGA-A6-3809-01A 71 years, female, white, stage:Stage IIB, alive, 996 days 69.0
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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-ND5 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.

: 2760.72
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 4770.0
Number of samples 486
Samples
Sample Description pTPM
U0934 87 years, female, NA, stage:T3N0M0, alive, 1185 days 13665.3
U0401 60 years, male, NA, stage:T4N1M0, alive, 1715 days 13174.8
U0436 59 years, male, NA, stage:T4N1M1, alive, 960 days 13134.7
U1473 46 years, female, NA, stage:T3N0M0, alive, 1553 days 13041.6
U1264 69 years, female, NA, stage:T3N0M0, dead, 1583 days 12825.6
U0248 72 years, male, NA, stage:T3N0M0, alive, 1870 days 12071.6
U0089 85 years, female, NA, stage:T1NXM0, dead, 2365 days 11854.4
U0246 74 years, female, NA, stage:T4N0M0, dead, 1192 days 11734.0
U1067 79 years, male, NA, stage:T3N0M0, alive, 1570 days 11098.2
U0211 76 years, female, NA, stage:T3N1M0, alive, 1236 days 11034.0
U0993 83 years, male, NA, stage:T4N2M0, alive, 1267 days 10972.4
U0148 80 years, male, NA, stage:T3N0M0, alive, 1780 days 10826.0
U0916 88 years, female, NA, stage:T3N0M0, alive, 1578 days 10809.4
U0462 45 years, female, NA, stage:T4N1M0, alive, 1017 days 10806.4
U0193 76 years, male, NA, stage:T3N1M0, dead, 876 days 10768.9
U1099 77 years, female, NA, stage:T3N0M0, alive, 2068 days 10452.5
U1059 77 years, male, NA, stage:T3N1M0, alive, 2790 days 10388.1
U0375 66 years, male, NA, stage:T3N0M0, dead, 666 days 10171.0
U1114 76 years, female, NA, stage:TXNXM1, dead, 473 days 9903.5
U0085 88 years, male, NA, stage:T4N1M0, dead, 1698 days 9844.1
U0915 88 years, female, NA, stage:T3N0M0, alive, 1613 days 9721.8
U0942 88 years, male, NA, stage:T3N0M0, alive, 665 days 9670.6
U0156 82 years, female, NA, stage:T4N1M0, alive, 1573 days 9598.2
U0187 77 years, male, NA, stage:T3N2M0, alive, 1632 days 9584.9
U0002 82 years, female, NA, stage:T3N2M0, alive, 3691 days 9519.4
U0208 76 years, female, NA, stage:T3N1M0, dead, 1233 days 9510.1
U0151 80 years, female, NA, stage:T3N0M0, alive, 2014 days 9470.8
U0385 65 years, male, NA, stage:T3N0M0, alive, 902 days 9469.4
U1072 80 years, male, NA, stage:T1N0M0, alive, 1446 days 9434.6
U1246 70 years, female, NA, stage:T3N0M0, alive, 1441 days 9384.1
U1317 68 years, male, NA, stage:T4N1M0, alive, 965 days 9362.1
U2856 71 years, female, NA, stage:T4N1M1, alive, 660 days 9147.3
U0333 66 years, female, NA, stage:T3N2M0, dead, 1959 days 8995.9
U1401 60 years, female, NA, stage:T3N0M0, alive, 1482 days 8978.2
U0373 64 years, female, NA, stage:T3N0M0, alive, 1822 days 8920.4
U0349 63 years, male, NA, stage:T3N1M0, alive, 2682 days 8899.0
U1046 78 years, female, NA, stage:T4N2M1, dead, 697 days 8786.8
U1111 76 years, female, NA, stage:T3N0M0, dead, 1631 days 8710.8
U0297 67 years, female, NA, stage:T3N2M0, alive, 1196 days 8704.8
U0210 75 years, male, NA, stage:T3N0M0, dead, 1800 days 8676.7
U0235 75 years, female, NA, stage:T3N0M0, alive, 1327 days 8433.4
U1013 82 years, female, NA, stage:T2N1M0, alive, 1439 days 8379.1
U0295 67 years, male, NA, stage:T3N0M0, dead, 2572 days 8367.0
U0158 76 years, male, NA, stage:T1N0M0, dead, 3101 days 8212.0
U0107 82 years, male, NA, stage:T3N0M0, dead, 2354 days 8160.3
U0433 58 years, male, NA, stage:T4N1M1, dead, 440 days 8159.4
U0247 70 years, female, NA, stage:T3N1M0, alive, 2538 days 8135.3
U0355 67 years, male, NA, stage:T4N1M0, dead, 1038 days 8110.8
U1343 62 years, female, NA, stage:T4N2M0, alive, 3178 days 8045.4
U0318 71 years, male, NA, stage:T3N0M0, alive, 762 days 7924.7
U0336 68 years, female, NA, stage:T3N0M0, alive, 1100 days 7911.5
U1160 74 years, male, NA, stage:T3N1M0, alive, 1557 days 7755.8
U0386 60 years, female, NA, stage:T4N1M1, alive, 2592 days 7740.1
U0244 69 years, female, NA, stage:T3N1M0, alive, 3184 days 7728.1
U1267 65 years, male, NA, stage:T3N1M0, dead, 2869 days 7707.8
U0365 68 years, female, NA, stage:T4N1M0, dead, 313 days 7705.3
U0384 64 years, male, NA, stage:T2N1M1, alive, 1024 days 7621.3
U0262 69 years, female, NA, stage:T2N0M0, alive, 2534 days 7557.3
U1102 77 years, male, NA, stage:T2N0M0, alive, 1354 days 7546.6
U0316 68 years, male, NA, stage:T3N2M0, alive, 2012 days 7543.1
U1212 74 years, female, NA, stage:T2N0M0, alive, 69 days 7539.9
U2780 75 years, male, NA, stage:T3N0M0, alive, 778 days 7509.9
U1183 73 years, male, NA, stage:T4N2M0, alive, 959 days 7506.5
U1384 62 years, male, NA, stage:T4N1M0, alive, 1319 days 7504.2
U0153 80 years, female, NA, stage:T3N0M0, dead, 1718 days 7490.7
U1041 81 years, male, NA, stage:T2N0M0, alive, 1108 days 7366.8
U0369 66 years, female, NA, stage:T3N0M0, dead, 1095 days 7330.9
U0381 60 years, male, NA, stage:T3N1M0, dead, 71 days 7320.2
U1071 78 years, female, NA, stage:T4N0M1, alive, 1514 days 7309.2
U2902 86 years, female, NA, stage:T2N0M0, alive, 596 days 7300.5
U1127 71 years, female, NA, stage:T3N0M0, alive, 3465 days 7272.1
U1250 70 years, male, NA, stage:T2N0M0, alive, 597 days 7216.1
U0960 86 years, male, NA, stage:T3N0M0, alive, 1009 days 7100.1
U0465 43 years, male, NA, stage:T3N0M0, alive, 2383 days 7031.9
U0169 82 years, male, NA, stage:T4N2M0, alive, 616 days 7017.5
U1107 80 years, male, NA, stage:T3N0M0, alive, 329 days 6955.7
U0361 63 years, male, NA, stage:T3N0M0, alive, 686 days 6952.4
U0263 69 years, female, NA, stage:T3N0M1, alive, 362 days 6886.7
U0125 86 years, female, NA, stage:T1N0M0, dead, 668 days 6846.2
U0175 77 years, male, NA, stage:T3N2M0, alive, 1875 days 6830.2
U0314 67 years, female, NA, stage:T1N0M0, dead, 2436 days 6828.5
U0277 72 years, male, NA, stage:T2N1M0, alive, 270 days 6823.4
U0234 75 years, male, NA, stage:T1N1M0, alive, 990 days 6815.1
U0400 62 years, male, NA, stage:T4N0M0, dead, 1073 days 6776.2
U0143 80 years, male, NA, stage:T3N2M0, alive, 2313 days 6756.2
U0320 66 years, female, NA, stage:T4N2M1, alive, 188 days 6745.8
U0278 73 years, female, NA, stage:T2N0M0, alive, 763 days 6742.3
U0172 78 years, male, NA, stage:T4N0M0, dead, 678 days 6675.3
U0227 72 years, female, NA, stage:T4N2M0, alive, 291 days 6674.4
U0326 64 years, female, NA, stage:T3N0M0, alive, 3178 days 6662.6
U0087 87 years, female, NA, stage:T3N2M0, dead, 337 days 6652.0
U0141 81 years, male, NA, stage:T3N2M0, alive, 2079 days 6647.2
U0105 82 years, female, NA, stage:T2N0M0, dead, 2158 days 6646.6
U0335 65 years, female, NA, stage:T3N1M0, alive, 2464 days 6596.4
U0382 61 years, female, NA, stage:T3N0M0, alive, 2550 days 6572.9
U1472 47 years, female, NA, stage:T3N1M0, alive, 1316 days 6569.2
U1031 80 years, male, NA, stage:T1N1M0, alive, 1625 days 6558.8
U0245 71 years, female, NA, stage:T3N1M0, dead, 564 days 6546.5
U0090 85 years, female, NA, stage:T3N0M0, dead, 1258 days 6504.1
U0389 64 years, female, NA, stage:T3N1M0, dead, 927 days 6464.7
U0075 88 years, male, NA, stage:T3N0M0, dead, 3 days 6462.9
U0313 70 years, male, NA, stage:T4N1M0, dead, 1142 days 6455.4
U1327 66 years, female, NA, stage:T3N0M0, alive, 1613 days 6430.7
U0180 74 years, male, NA, stage:T3N0M1, dead, 965 days 6424.5
U2842 60 years, female, NA, stage:T4N2M0, alive, 675 days 6420.2
U0108 84 years, female, NA, stage:T3N0M1, alive, 535 days 6420.0
U1483 43 years, female, NA, stage:T3N0M0, alive, 1094 days 6374.0
U0450 52 years, female, NA, stage:T3N1M0, alive, 763 days 6341.5
U1141 71 years, female, NA, stage:T4N1M1, dead, 596 days 6322.4
U0250 74 years, female, NA, stage:T4N0M0, dead, 906 days 6311.4
U0222 72 years, female, NA, stage:T3N2M1, alive, 1779 days 6300.0
U0449 50 years, female, NA, stage:T3N0M0, alive, 1851 days 6254.4
U0094 89 years, female, NA, stage:T3N2M0, alive, 741 days 6160.0
U0218 77 years, female, NA, stage:T3N0M0, alive, 714 days 6145.6
U0123 83 years, male, NA, stage:T3N0M0, dead, 1880 days 6123.0
U0095 86 years, male, NA, stage:T4N1M0, dead, 1034 days 6120.6
U0099 85 years, female, NA, stage:T3N0M0, dead, 986 days 6063.8
U0196 75 years, male, NA, stage:T3N0M0, alive, 2086 days 6049.5
U0411 59 years, female, NA, stage:T3N1M0, alive, 1868 days 6049.1
U0455 47 years, female, NA, stage:T3N2M0, alive, 2445 days 6042.8
U0200 73 years, female, NA, stage:T3N0M0, alive, 2614 days 5999.0
U0338 68 years, female, NA, stage:T3N0M0, alive, 1016 days 5998.0
U0441 50 years, female, NA, stage:T2N1M0, alive, 2738 days 5986.1
U0121 86 years, male, NA, stage:T4N2M0, alive, 655 days 5984.7
U1086 73 years, female, NA, stage:T1N0M0, alive, 2907 days 5962.0
U0362 66 years, male, NA, stage:T3N0M0, alive, 1148 days 5950.3
U1258 70 years, male, NA, stage:T3N1M0, alive, 1373 days 5946.6
U0315 65 years, female, NA, stage:T2N0M0, alive, 1973 days 5943.9
U0379 63 years, male, NA, stage:T2N0M0, alive, 1819 days 5929.7
U0225 77 years, male, NA, stage:T3N1M0, alive, 581 days 5920.9
U0178 76 years, female, NA, stage:T3N1M0, dead, 2096 days 5918.9
U0416 61 years, male, NA, stage:T1N1M0, alive, 1228 days 5912.5
U0102 87 years, female, NA, stage:T4N2M0, dead, 670 days 5905.6
U0067 92 years, female, NA, stage:T3N0M0, alive, 2180 days 5894.0
U0124 81 years, female, NA, stage:T1N0M0, alive, 2430 days 5890.0
U0083 88 years, male, NA, stage:T4N0M0, dead, 731 days 5877.8
U0469 42 years, male, NA, stage:T3N0M0, dead, 409 days 5866.1
U1257 71 years, male, NA, stage:T3N0M0, alive, 833 days 5864.7
U0081 87 years, male, NA, stage:T3N2M0, dead, 248 days 5816.3
U1347 65 years, female, NA, stage:T3N0M0, alive, 1401 days 5755.1
U0146 79 years, female, NA, stage:T3N2M0, dead, 733 days 5745.2
U0309 68 years, female, NA, stage:T3N0M0, dead, 1898 days 5722.0
U1073 79 years, female, NA, stage:T3N1M0, alive, 1359 days 5702.1
U0345 65 years, female, NA, stage:T3N0M0, alive, 2127 days 5699.2
U0135 82 years, female, NA, stage:T3N0M0, alive, 1738 days 5692.9
U1044 76 years, male, NA, stage:T4N0M0, alive, 3146 days 5679.6
U0444 52 years, female, NA, stage:T4N1M0, alive, 1841 days 5638.1
U0157 83 years, male, NA, stage:T4N0M0, dead, 131 days 5630.5
U0092 84 years, male, NA, stage:T3N0M0, alive, 2779 days 5624.2
U1017 82 years, male, NA, stage:T3N0M0, alive, 615 days 5594.8
U0224 72 years, female, NA, stage:T3N0M0, alive, 2367 days 5586.7
U0999 84 years, male, NA, stage:T3N2M0, alive, 860 days 5570.6
U2819 86 years, female, NA, stage:T3N0M0, alive, 708 days 5567.6
U1040 83 years, male, NA, stage:T2N0M0, alive, 1029 days 5559.1
U1145 74 years, female, NA, stage:T3N0M0, dead, 445 days 5527.7
U1007 82 years, male, NA, stage:T3N0M0, alive, 1333 days 5487.6
U0167 79 years, male, NA, stage:T3N1M0, alive, 1820 days 5482.4
U1251 69 years, male, NA, stage:T4N2M0, alive, 126 days 5474.9
U0084 86 years, male, NA, stage:T3N0M0, dead, 1662 days 5469.2
U0342 68 years, male, NA, stage:T4N2M0, alive, 305 days 5443.4
U0221 77 years, male, NA, stage:T3N0M0, alive, 569 days 5436.1
U0249 75 years, female, NA, stage:T4N2M0, dead, 874 days 5423.3
U0068 92 years, female, NA, stage:T3N1M0, alive, 1991 days 5393.2
U1034 80 years, male, NA, stage:T4N0M0, alive, 1575 days 5388.1
U2948 74 years, female, NA, stage:T3N1M0, alive, 543 days 5385.9
U0117 83 years, female, NA, stage:T2N0M0, dead, 1078 days 5384.1
U1240 70 years, male, NA, stage:T4N0M0, alive, 765 days 5380.0
U1074 77 years, male, NA, stage:T3N0M0, dead, 1043 days 5338.8
U0110 87 years, female, NA, stage:T3N1M1, dead, 878 days 5329.0
U0239 76 years, male, NA, stage:T2N0M0, alive, 67 days 5317.6
U1369 63 years, male, NA, stage:T3N0M0, dead, 1604 days 5316.0
U0471 38 years, female, NA, stage:T3N1M0, alive, 1673 days 5307.3
U0300 71 years, male, NA, stage:T2N0M0, alive, 974 days 5304.0
U0072 88 years, male, NA, stage:T3N0M0, alive, 2772 days 5294.4
U0142 80 years, female, NA, stage:T4N1M0, alive, 2340 days 5292.4
U2956 86 years, female, NA, stage:T3N0M0, alive, 540 days 5255.7
U0289 66 years, female, NA, stage:T3N0M0, alive, 3511 days 5254.2
U0448 46 years, male, NA, stage:T3N2M0, alive, 3615 days 5235.7
U0129 82 years, male, NA, stage:T4N0M0, dead, 1265 days 5202.7
U1103 76 years, female, NA, stage:T4N2M0, alive, 975 days 5192.5
U0126 79 years, male, NA, stage:T3N0M0, dead, 2876 days 5182.4
U0229 70 years, female, NA, stage:TXN2M1, dead, 2115 days 5177.4
U0332 66 years, female, NA, stage:T3N0M0, alive, 2101 days 5127.9
U0207 73 years, female, NA, stage:T3N0M0, dead, 2593 days 5125.4
U1104 78 years, female, NA, stage:T4N0M0, alive, 1109 days 5123.0
U0344 69 years, male, NA, stage:T2N1M0, dead, 818 days 5115.5
U1018 81 years, male, NA, stage:T4N1M1, dead, 1693 days 5114.6
U0307 65 years, male, NA, stage:T3N0M0, alive, 2921 days 5108.5
U0257 69 years, male, NA, stage:T3N1M0, dead, 2508 days 5106.2
U0154 83 years, male, NA, stage:T3N0M0, alive, 820 days 5098.2
U1392 61 years, male, NA, stage:T3N0M0, alive, 1513 days 5072.9
U1235 71 years, female, NA, stage:T2N0M0, alive, 1319 days 5072.7
U0066 93 years, male, NA, stage:T3N0M0, dead, 2486 days 5060.2
U0929 85 years, male, NA, stage:T4N1M0, alive, 436 days 4995.1
U0163 81 years, male, NA, stage:T4N0M0, alive, 697 days 4984.4
U0136 79 years, female, NA, stage:T3N0M0, dead, 2795 days 4975.2
U0403 60 years, male, NA, stage:T3N1M1, dead, 1809 days 4945.3
U1274 69 years, male, NA, stage:T2N1M0, alive, 1198 days 4937.3
U0377 59 years, female, NA, stage:T3N2M0, alive, 3720 days 4935.0
U2803 66 years, male, NA, stage:T3N1M0, alive, 744 days 4931.8
U0367 61 years, female, NA, stage:T3N1M0, alive, 3075 days 4910.4
U1201 72 years, male, NA, stage:T3N2M0, alive, 1484 days 4905.7
U1220 70 years, male, NA, stage:T3N2M0, dead, 1953 days 4891.9
U0270 70 years, female, NA, stage:T1N0M0, alive, 2187 days 4886.7
U2774 66 years, female, NA, stage:T3N0M0, alive, 783 days 4884.9
U0460 43 years, female, NA, stage:T3N0M0, dead, 2069 days 4873.7
U2815 82 years, female, NA, stage:T3N0M0, alive, 717 days 4858.1
U0376 66 years, male, NA, stage:T2N1M0, alive, 965 days 4846.1
U0171 78 years, female, NA, stage:T3N1M0, dead, 1920 days 4839.5
U0280 68 years, male, NA, stage:T3N1M1, alive, 2731 days 4836.9
U1095 76 years, female, NA, stage:T3N1M1, alive, 2425 days 4822.1
U0467 38 years, female, NA, stage:T3N0M0, alive, 1848 days 4802.5
U0119 81 years, female, NA, stage:T3N0M0, alive, 3259 days 4792.7
U0109 82 years, female, NA, stage:T4N2M1, alive, 144 days 4779.5
U1374 66 years, male, NA, stage:T4N0M0, alive, 827 days 4774.6
U0070 89 years, male, NA, stage:T1N0M0, dead, 1319 days 4750.8
U1386 62 years, male, NA, stage:T3N1M0, alive, 1518 days 4746.2
U2981 74 years, male, NA, stage:T3N0M0, alive, 508 days 4720.1
U0882 93 years, male, NA, stage:T3N0M0, alive, 1675 days 4708.8
U0368 67 years, male, NA, stage:T2N0M0, alive, 801 days 4708.7
U0098 84 years, male, NA, stage:T3N0M0, dead, 2473 days 4677.8
U0236 72 years, male, NA, stage:T3N1M0, alive, 1842 days 4669.1
U0133 85 years, female, NA, stage:T3N0M0, alive, 773 days 4664.4
U0100 85 years, female, NA, stage:T3N0M0, dead, 1920 days 4637.1
U0078 91 years, female, NA, stage:T3N0M0, alive, 1183 days 4594.4
U0321 70 years, female, NA, stage:T3N0M0, alive, 1029 days 4591.3
U1065 75 years, female, NA, stage:T3N2M0, alive, 2954 days 4578.4
U0347 68 years, female, NA, stage:T4N1M1, alive, 628 days 4572.0
U0176 76 years, male, NA, stage:T3N1M0, alive, 2600 days 4562.3
U0356 68 years, male, NA, stage:T4N1M0, alive, 536 days 4551.5
U0438 53 years, female, NA, stage:T3N0M0, alive, 2009 days 4541.0
U1349 63 years, female, NA, stage:T3N1M0, alive, 1899 days 4515.3
U0288 72 years, male, NA, stage:T1N0M0, alive, 1513 days 4509.9
U0170 77 years, male, NA, stage:T4N1M0, dead, 832 days 4475.1
U1421 59 years, female, NA, stage:T3N1M0, alive, 1905 days 4460.3
U0204 78 years, male, NA, stage:T3N0M0, dead, 770 days 4402.0
U0268 67 years, male, NA, stage:T3N0M0, alive, 2978 days 4393.8
U1291 68 years, female, NA, stage:T3N0M0, alive, 2000 days 4376.0
U0199 78 years, female, NA, stage:T4N2M0, alive, 1372 days 4367.7
U0358 64 years, female, NA, stage:T4N1M0, alive, 2290 days 4367.2
U1122 75 years, female, NA, stage:T3N2M0, alive, 1675 days 4355.8
U0357 64 years, female, NA, stage:T3N0M0, alive, 2285 days 4353.0
U0396 59 years, male, NA, stage:T4N2M0, alive, 2243 days 4349.1
U0281 72 years, male, NA, stage:T3N2M0, alive, 933 days 4344.7
U2861 78 years, male, NA, stage:T3N0M0, alive, 652 days 4321.6
U0352 62 years, female, NA, stage:T4N2M0, dead, 385 days 4295.3
U0446 53 years, male, NA, stage:T2N0M0, alive, 1446 days 4292.4
U0451 47 years, female, NA, stage:T4N2M0, alive, 3023 days 4292.0
U0112 86 years, female, NA, stage:T3N0M1, alive, 551 days 4285.1
U0421 60 years, male, NA, stage:T3N1M0, alive, 674 days 4276.2
U0063 95 years, male, NA, stage:T1N0M0, dead, 1779 days 4258.6
U0453 46 years, male, NA, stage:T3N0M0, alive, 2859 days 4249.0
U0214 72 years, male, NA, stage:T4N1M1, alive, 788 days 4246.0
U0145 81 years, male, NA, stage:T3N1M1, alive, 623 days 4243.5
U0306 71 years, male, NA, stage:T3N1M0, dead, 717 days 4228.4
U0287 69 years, female, NA, stage:T2N0M0, alive, 1897 days 4211.4
U2971 62 years, male, NA, stage:T4aN0M0, alive, 629 days 4205.0
U0233 71 years, female, NA, stage:T3N1M0, alive, 975 days 4192.7
U3038 82 years, male, NA, stage:T3N0M0, alive, 328 days 4191.0
U1075 78 years, female, NA, stage:T3N0M0, alive, 1290 days 4151.5
U1396 62 years, female, NA, stage:T4N0M0, alive, 1168 days 4135.0
U0445 51 years, female, NA, stage:T3N0M0, alive, 1851 days 4130.4
U3051 48 years, male, NA, stage:T3N2M0, alive, 415 days 4125.4
U0259 68 years, female, NA, stage:T4N2M0, alive, 76 days 4124.8
U0004 61 years, female, NA, stage:T4N0M0, alive, 3649 days 4053.9
U2896 81 years, female, NA, stage:T3N1M0, alive, 609 days 4040.5
U0269 69 years, female, NA, stage:T3N0M0, alive, 2530 days 4039.8
U0202 73 years, male, NA, stage:T3N0M0, dead, 2670 days 4036.2
U0383 60 years, male, NA, stage:T3N2M1, dead, 595 days 4019.1
U0390 64 years, male, NA, stage:T3N1M0, alive, 871 days 4016.8
U1346 66 years, female, NA, stage:T3N0M0, alive, 1137 days 4015.4
U0991 83 years, male, NA, stage:T4N2M0, dead, 534 days 3991.9
U0252 70 years, male, NA, stage:T3N1M0, dead, 1761 days 3978.3
U0319 65 years, male, NA, stage:T3N0M0, alive, 2801 days 3940.8
U0312 65 years, female, NA, stage:T4N2M1, alive, 499 days 3923.3
U0189 74 years, female, NA, stage:T3N0M0, dead, 1823 days 3907.5
U0166 82 years, female, NA, stage:T3N0M0, alive, 763 days 3901.7
U0427 59 years, male, NA, stage:T2N0M0, alive, 1193 days 3894.1
U0177 81 years, female, NA, stage:T3N0M0, alive, 355 days 3886.4
U1454 54 years, female, NA, stage:T3N0M0, alive, 393 days 3864.0
U2889 77 years, male, NA, stage:T4N0M0, alive, 623 days 3863.2
U0472 32 years, male, NA, stage:TXN2M0, alive, 542 days 3859.7
U0223 71 years, male, NA, stage:T4N1M0, alive, 1812 days 3857.2
U1120 76 years, male, NA, stage:T4N1M1, alive, 823 days 3851.5
U0370 67 years, female, NA, stage:T3N0M0, alive, 1047 days 3847.8
U2798 68 years, male, NA, stage:T3N0M0, alive, 751 days 3828.5
U0292 71 years, male, NA, stage:T4N1M0, alive, 1666 days 3811.5
U1188 72 years, female, NA, stage:T3N0M0, dead, 967 days 3795.8
U0440 51 years, female, NA, stage:T4N0M0, dead, 2743 days 3794.5
U0275 69 years, female, NA, stage:T3N2M0, alive, 549 days 3788.2
U0179 75 years, male, NA, stage:T3N1M0, dead, 1043 days 3786.3
U0392 64 years, male, NA, stage:T3N2M0, alive, 489 days 3785.4
U0152 82 years, male, NA, stage:T3N1M0, alive, 989 days 3775.4
U0398 63 years, female, NA, stage:T3N0M0, alive, 721 days 3770.3
U0439 56 years, male, NA, stage:T3N1M0, alive, 1418 days 3769.4
U0426 59 years, male, NA, stage:T3N0M0, dead, 976 days 3766.1
U0984 84 years, female, NA, stage:T4N0M0, alive, 1287 days 3765.2
U0266 70 years, female, NA, stage:T3N1M0, dead, 2221 days 3750.3
U0327 70 years, male, NA, stage:T4N0M0, alive, 833 days 3746.4
U1486 39 years, female, NA, stage:T4N0M0, alive, 1606 days 3741.5
U1150 75 years, female, NA, stage:T3N0M0, alive, 15 days 3741.4
U2959 63 years, male, NA, stage:T3N2M0, alive, 536 days 3738.7
U1352 61 years, male, NA, stage:T3N2M1, dead, 741 days 3716.3
U1432 60 years, female, NA, stage:T3N1M0, alive, 577 days 3714.7
U0165 81 years, female, NA, stage:T2N0M0, alive, 1702 days 3708.8
U1429 58 years, female, NA, stage:T3N0M0, alive, 1660 days 3708.5
U0074 89 years, female, NA, stage:T3N0M0, dead, 1438 days 3671.3
U2848 67 years, female, NA, stage:T4N2M0, alive, 669 days 3667.9
U1304 69 years, female, NA, stage:TXNXM0, alive, 1081 days 3659.1
U0260 69 years, male, NA, stage:T1N0M1, alive, 2928 days 3650.6
U0106 82 years, female, NA, stage:T3N1M0, dead, 653 days 3638.2
U1213 73 years, female, NA, stage:T2N0M0, alive, 560 days 3625.4
U0134 82 years, male, NA, stage:T3N0M0, alive, 2009 days 3599.2
U0590 75 years, female, NA, stage:T3N0M0, alive, 661 days 3561.8
U0474 30 years, male, NA, stage:T3N1M0, alive, 1017 days 3561.5
U1184 70 years, male, NA, stage:T4N1M0, alive, 290 days 3537.4
U2747 85 years, female, NA, stage:T4N1M0, dead, 54 days 3519.0
U1436 56 years, female, NA, stage:T3N0M0, alive, 1745 days 3516.6
U1344 65 years, female, NA, stage:T3N1M0, alive, 1450 days 3514.8
U0354 69 years, male, NA, stage:T3N1M0, alive, 430 days 3482.5
U1303 66 years, male, NA, stage:T4N1M0, alive, 2283 days 3482.3
U0308 72 years, male, NA, stage:T4N1M0, alive, 1075 days 3481.0
U2753 81 years, female, NA, stage:T2N0M0, alive, 813 days 3473.4
U2891 81 years, male, NA, stage:T3N1M0, alive, 619 days 3465.8
U0273 68 years, male, NA, stage:T2N1M0, alive, 2641 days 3455.8
U0459 49 years, female, NA, stage:T3N0M0, alive, 966 days 3428.5
U0456 46 years, male, NA, stage:T4N0M0, dead, 2222 days 3418.6
U2979 73 years, male, NA, stage:T3N2M0, alive, 616 days 3412.0
U1252 70 years, female, NA, stage:T4N2M0, alive, 1309 days 3404.5
U3043 68 years, female, NA, stage:T3N2M0, alive, 287 days 3394.2
U3100 89 years, male, NA, stage:T3N1M0, dead, 1608 days 3388.3
U0182 79 years, female, NA, stage:T4N1M0, dead, 260 days 3358.8
U0328 66 years, male, NA, stage:T4N0M0, dead, 1362 days 3341.9
U1147 73 years, male, NA, stage:T3N0M0, dead, 282 days 3329.2
U0447 51 years, male, NA, stage:T4N1M0, dead, 1819 days 3317.3
U1332 65 years, male, NA, stage:T3N0M0, alive, 1672 days 3300.2
U0939 82 years, male, NA, stage:T3N1M0, alive, 2960 days 3293.8
U2958 84 years, female, NA, stage:T1N0M0, alive, 536 days 3288.2
U2935 70 years, male, NA, stage:T4N1M0, alive, 555 days 3275.5
U0131 81 years, female, NA, stage:T4N2M1, alive, 238 days 3266.3
U0285 69 years, female, NA, stage:T3N0M0, alive, 2165 days 3263.6
U0274 70 years, male, NA, stage:T3N0M0, dead, 1570 days 3261.9
U0950 86 years, female, NA, stage:T4N1M0, alive, 1834 days 3245.5
U1292 69 years, female, NA, stage:T4N1M0, alive, 1147 days 3242.9
U2953 55 years, female, NA, stage:T4aN0M0, alive, 541 days 3228.0
U0302 73 years, male, NA, stage:T1N0M0, alive, 892 days 3222.6
U1045 80 years, female, NA, stage:T4N2M0, alive, 1239 days 3215.9
U0442 56 years, male, NA, stage:T3N0M0, alive, 619 days 3194.7
U1276 66 years, male, NA, stage:T3N0M0, alive, 2474 days 3181.0
U0209 74 years, male, NA, stage:T3N1M0, alive, 2109 days 3153.4
U1062 78 years, female, NA, stage:T4N0M0, alive, 1689 days 3152.5
U0378 66 years, female, NA, stage:T4N1M0, dead, 815 days 3144.1
U0350 68 years, female, NA, stage:T4N0M0, alive, 770 days 3126.9
U0424 56 years, male, NA, stage:T3N0M0, alive, 2192 days 3117.4
U0115 84 years, female, NA, stage:T3N0M0, dead, 1738 days 3111.1
U1446 53 years, female, NA, stage:T3N0M0, alive, 2314 days 3080.6
U1208 74 years, female, NA, stage:T1N0M0, alive, 834 days 3077.9
U0101 84 years, male, NA, stage:T3N1M1, alive, 1878 days 3067.4
U0198 77 years, male, NA, stage:T3N1M0, alive, 1272 days 3053.8
U1094 79 years, female, NA, stage:T4N1M0, alive, 1267 days 3038.0
U1129 74 years, male, NA, stage:T3N0M0, dead, 118 days 3013.0
U0104 87 years, female, NA, stage:T4N0M0, dead, 1639 days 3012.7
U0429 58 years, female, NA, stage:T3N0M1, alive, 1099 days 3003.9
U0435 52 years, female, NA, stage:T2N0M0, alive, 3616 days 2995.9
U0966 84 years, male, NA, stage:T4N0M0, dead, 1513 days 2995.6
U0203 77 years, male, NA, stage:T3N0M0, dead, 827 days 2972.5
U1474 45 years, female, NA, stage:T1N0MX, alive, 2012 days 2967.4
U2947 77 years, female, NA, stage:T3N0M0, alive, 543 days 2950.7
U1158 76 years, female, NA, stage:T3N1M0, alive, 721 days 2948.5
U0955 83 years, female, NA, stage:T3N0M0, alive, 2170 days 2940.5
U0420 56 years, male, NA, stage:T4N1M1, alive, 417 days 2914.5
U3018 67 years, male, NA, stage:T4N1M0, alive, 463 days 2906.1
U0970 86 years, female, NA, stage:T4N1M0, alive, 939 days 2889.5
U1037 80 years, male, NA, stage:T4N0M0, alive, 1658 days 2885.3
U1366 63 years, male, NA, stage:T3N1M0, alive, 2010 days 2872.6
U3024 76 years, female, NA, stage:T3N0M0, alive, 463 days 2855.2
U0191 80 years, male, NA, stage:T3N1M0, alive, 900 days 2821.8
U0397 62 years, male, NA, stage:T4N0M0, alive, 1663 days 2815.3
U0127 80 years, female, NA, stage:T3N0M0, dead, 2753 days 2785.1
U0317 64 years, female, NA, stage:T3N2M0, alive, 3209 days 2762.2
U0082 85 years, female, NA, stage:T3N1M0, dead, 2339 days 2759.3
U2964 84 years, male, NA, stage:T3N1M0, alive, 637 days 2753.8
U1239 69 years, male, NA, stage:T2N0M0, dead, 1998 days 2752.8
U0240 75 years, female, NA, stage:T3N1M0, dead, 800 days 2726.0
U1447 57 years, male, NA, stage:T4N1M0, alive, 988 days 2724.2
U0443 54 years, male, NA, stage:T3N0M0, alive, 1677 days 2715.3
U3042 62 years, male, NA, stage:T3N0M0, alive, 324 days 2701.9
U0256 74 years, male, NA, stage:T3N0M0, alive, 738 days 2683.0
U1301 66 years, female, NA, stage:T4N2M0, dead, 877 days 2678.9
U0933 85 years, male, NA, stage:T3N2M0, dead, 1960 days 2640.2
U3034 64 years, female, NA, stage:T3N1M0, alive, 443 days 2632.6
U1321 65 years, male, NA, stage:T3N1M0, alive, 2578 days 2629.7
U0290 72 years, male, NA, stage:T4N2M0, dead, 593 days 2627.0
U2754 81 years, male, NA, stage:T4N0M0, alive, 809 days 2615.2
U0091 90 years, male, NA, stage:T3N0M0, alive, 520 days 2596.3
U1241 70 years, male, NA, stage:T3N1M0, dead, 49 days 2596.1
U1253 68 years, female, NA, stage:T3N0M0, dead, 165 days 2576.2
U2843 89 years, female, NA, stage:T3N0M0, alive, 674 days 2545.1
U1228 71 years, male, NA, stage:T3N0M0, alive, 1333 days 2534.3
U1049 82 years, female, NA, stage:T3N1M0, alive, 1200 days 2509.1
U1448 53 years, male, NA, stage:T3N0M1, dead, 1512 days 2479.4
U0168 81 years, male, NA, stage:T3N0M0, dead, 948 days 2464.9
U2975 85 years, male, NA, stage:T4N1M0, alive, 514 days 2462.6
U2792 68 years, male, NA, stage:T2N1M0, alive, 758 days 2460.4
U0473 33 years, male, NA, stage:T3N1M0, alive, 786 days 2442.2
U0253 74 years, female, NA, stage:T3N0M0, alive, 958 days 2441.8
U2882 65 years, female, NA, stage:T3N1M0, alive, 637 days 2427.3
U0254 75 years, female, NA, stage:T3N1M0, alive, 659 days 2417.1
U0428 60 years, male, NA, stage:T4N1M1, alive, 1016 days 2416.8
U0972 83 years, female, NA, stage:T1N0M0, alive, 2473 days 2408.9
U0967 84 years, male, NA, stage:T2N0M0, dead, 1691 days 2358.7
U1162 73 years, male, NA, stage:T2N1M0, dead, 354 days 2348.9
U0938 86 years, female, NA, stage:T3N0M0, dead, 1231 days 2340.4
U0215 77 years, male, NA, stage:T3N0M0, alive, 1269 days 2330.4
U2837 76 years, female, NA, stage:T4N1M0, alive, 681 days 2322.6
U2928 52 years, male, NA, stage:T2N0M0, alive, 563 days 2306.9
U3005 74 years, male, NA, stage:T3N0M0, alive, 478 days 2302.5
U0267 73 years, male, NA, stage:T4N0M0, dead, 445 days 2247.9
U0195 73 years, male, NA, stage:T3N0M0, alive, 3326 days 2227.5
U3048 57 years, male, NA, stage:T4N2M0, alive, 535 days 2208.1
U0987 82 years, female, NA, stage:T3N0M0, alive, 2482 days 2203.4
U0898 90 years, female, NA, stage:T4aN0M0, dead, 340 days 2186.4
U0908 89 years, female, NA, stage:T3N0M1, dead, 40 days 2180.0
U2942 74 years, male, NA, stage:T2N0M0, alive, 549 days 2169.5
U0414 60 years, male, NA, stage:T3N0M0, alive, 1691 days 2136.9
U0122 85 years, female, NA, stage:T2N0M0, dead, 159 days 2119.8
U3039 74 years, male, NA, stage:T4N1M1, dead, 366 days 2112.5
U1130 78 years, male, NA, stage:T2N1M0, alive, 913 days 2105.2
U0183 74 years, male, NA, stage:T3N1M1, dead, 2957 days 2104.8
U1204 71 years, male, NA, stage:T4N2M0, alive, 2214 days 2094.4
U0404 57 years, female, NA, stage:T3N2M0, dead, 204 days 2086.8
U0949 84 years, female, NA, stage:T3N0M1, dead, 594 days 2076.0
U3122 85 years, female, NA, stage:T3N0M1, dead, 91 days 2066.1
U3032 61 years, female, NA, stage:T3N1M0, alive, 449 days 2057.3
U0144 84 years, male, NA, stage:T3N0M0, alive, 1218 days 2056.3
U1032 80 years, male, NA, stage:T3N1M0, alive, 2113 days 2051.6
U0976 82 years, female, NA, stage:T3N2M0, dead, 97 days 1998.3
U0589 56 years, female, NA, stage:T3N0M0, alive, 1176 days 1994.1
U3022 77 years, male, NA, stage:T2N0M0, alive, 484 days 1987.1
U0162 82 years, female, NA, stage:T3N0M0, alive, 1488 days 1972.7
U1069 77 years, female, NA, stage:T3N0M0, dead, 2187 days 1967.6
U3037 63 years, male, NA, stage:T3N1M0, alive, 405 days 1926.5
U1078 80 years, female, NA, stage:T3N0M0, alive, 1016 days 1923.1
U0303 67 years, female, NA, stage:T3N0M0, alive, 2847 days 1922.7
U3029 84 years, male, NA, stage:T2N0M0, alive, 475 days 1919.3
U1022 81 years, male, NA, stage:T4N2M0, dead, 61 days 1907.2
U0181 74 years, female, NA, stage:T1N0M0, alive, 3623 days 1905.5
U3025 68 years, male, NA, stage:T4N2M1, alive, 377 days 1898.7
U3030 77 years, female, NA, stage:T3N0M0, alive, 380 days 1893.1
U0073 87 years, male, NA, stage:T4N0MX, dead, 318 days 1871.2
U2927 51 years, male, NA, stage:T3N1M0, alive, 564 days 1870.8
U1047 75 years, female, NA, stage:T4N2M0, alive, 3592 days 1862.2
U2999 79 years, female, NA, stage:T2N0M0, alive, 581 days 1802.9
U0161 78 years, male, NA, stage:T4N2M1, alive, 42 days 1784.4
U0360 67 years, female, NA, stage:T3N0M0, dead, 1016 days 1782.8
U3008 82 years, female, NA, stage:T2N0M0, alive, 473 days 1781.8
U0111 88 years, male, NA, stage:T2N0M0, alive, 1117 days 1765.4
U1060 78 years, male, NA, stage:T3N0M0, alive, 2442 days 1760.3
U3012 66 years, male, NA, stage:T3N0M0, alive, 472 days 1741.7
U0340 69 years, female, NA, stage:T4N2M1, dead, 438 days 1732.6
U0113 88 years, male, NA, stage:T4N2M0, alive, 1102 days 1732.0
U0363 61 years, male, NA, stage:T3N1M0, alive, 3601 days 1713.0
U0149 82 years, female, NA, stage:T3N2M0, alive, 1715 days 1694.1
U0977 84 years, female, NA, stage:T4N2M0, dead, 140 days 1682.2
U1338 67 years, female, NA, stage:T4N1M0, dead, 716 days 1668.2
U0103 88 years, female, NA, stage:T3N1M0, alive, 1197 days 1645.2
U2995 81 years, female, NA, stage:T3N1M0, alive, 491 days 1641.8
U0463 49 years, male, NA, stage:T3N0M0, alive, 946 days 1628.4
U1155 75 years, male, NA, stage:T4N1M0, alive, 1815 days 1613.5
U0323 69 years, male, NA, stage:T2N0M0, dead, 1016 days 1607.5
U0348 69 years, female, NA, stage:T3N0M0, alive, 533 days 1598.2
U0464 49 years, male, NA, stage:T3N0M0, alive, 918 days 1512.7
U0231 77 years, female, NA, stage:T2N0M0, alive, 991 days 1509.4
U0937 86 years, male, NA, stage:T2N0M0, dead, 1558 days 1500.7
U0408 56 years, female, NA, stage:T4N0M0, dead, 2100 days 1480.2
U0185 80 years, male, NA, stage:T1N0M0, alive, 1248 days 1477.3
U0387 65 years, male, NA, stage:T2N0M0, alive, 1327 days 1425.2
U0394 65 years, male, NA, stage:T2N1M0, alive, 969 days 1368.0
U2782 79 years, male, NA, stage:T3N1M1, alive, 773 days 1305.3
U0217 76 years, female, NA, stage:T3N0M0, dead, 538 days 1197.8
U0186 73 years, female, NA, stage:T2N0M0, alive, 3726 days 1076.5
U3000 69 years, female, NA, stage:T3N0M0, alive, 584 days 1058.7
U0413 61 years, male, NA, stage:T2N0M0, alive, 1228 days 1045.8
U3050 61 years, female, NA, stage:T3N0M0, alive, 407 days 967.3
U0399 63 years, female, NA, stage:T4N2M0, dead, 547 days 858.8
U0069 94 years, female, NA, stage:T4N2M0, dead, 135 days 767.4
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-ND5 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.

: 556.31
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 1219.3
Number of samples 88
Samples
Sample Description pTPM
TCGA-AG-3732-01A 78 years, female, stage:Stage I, alive, 1003 days 4088.0
TCGA-DY-A1DF-01A 73 years, female, white, stage:Stage IIIC, dead, 734 days 3604.0
TCGA-F5-6465-01A 64 years, female, white, stage:Stage IIA, alive, 1506 days 3269.2
TCGA-F5-6571-01A 62 years, female, white, stage:Stage IIA, alive, 1288 days 3251.2
TCGA-EI-6509-01A 53 years, male, white, stage:Stage IIIC, alive, 517 days 3231.6
TCGA-G5-6641-01A 67 years, male, white, stage:Stage IIIA, alive, 804 days 3101.0
TCGA-G5-6235-01A 72 years, male, white, stage:Stage IIIB, alive, 1696 days 2616.3
TCGA-CI-6620-01A 41 years, female, white, stage:Stage IVA, alive, 1009 days 2557.4
TCGA-AH-6547-01A 79 years, female, white, stage:'--, dead, 76 days 2531.4
TCGA-AF-A56K-01A 56 years, male, black or african american, stage:Stage IIA, alive, 2635 days 2512.6
TCGA-G5-6572-01A 56 years, male, white, stage:'--, dead, 1432 days 2479.5
TCGA-F5-6812-01A 67 years, male, white, stage:Stage IIA, alive, 1110 days 2428.4
TCGA-CI-6621-01A 63 years, male, white, stage:Stage IIIB, alive, 419 days 2419.7
TCGA-AH-6544-01A 60 years, male, white, stage:'--, alive, 1173 days 2105.0
TCGA-AH-6903-01A 46 years, male, white, stage:Stage IIIB, alive, 592 days 2060.8
TCGA-AG-4022-01A 59 years, female, stage:Stage II, alive, 1400 days 2038.6
TCGA-AH-6643-01A 50 years, male, white, stage:Stage IIIC, dead, 1314 days 1951.6
TCGA-EI-6514-01A 59 years, female, white, stage:Stage IIA, alive, 496 days 1928.2
TCGA-AH-6644-01A 73 years, male, white, stage:'--, alive, 838 days 1923.8
TCGA-CI-6622-01A 74 years, male, white, stage:Stage IIB, alive, 1362 days 1794.9
TCGA-F5-6702-01A 71 years, male, white, stage:Stage IVA, dead, 869 days 1744.4
TCGA-DY-A1H8-01A 77 years, female, white, stage:Stage IIIA, dead, 992 days 1705.9
TCGA-EI-6506-01A 78 years, female, white, stage:Stage IIA, alive, 625 days 1704.6
TCGA-DY-A1DC-01A 72 years, female, white, stage:Stage IIA, dead, 1258 days 1620.8
TCGA-AF-6672-01A 43 years, male, white, stage:Stage IV, alive, 748 days 1582.7
TCGA-BM-6198-01A 73 years, male, white, stage:Stage IIIB, alive, 646 days 1554.2
TCGA-AH-6549-01A 66 years, male, white, stage:'--, alive, 532 days 1435.6
TCGA-AG-3742-01A 85 years, female, stage:Stage I, alive, 30 days 1308.3
TCGA-EI-6508-01A 48 years, female, white, stage:Stage IIIB, alive, 636 days 1273.9
TCGA-EI-6512-01A 64 years, female, white, stage:Stage IIIB, alive, 538 days 1259.8
TCGA-F5-6813-01A 70 years, male, white, stage:Stage IIIC, dead, 598 days 1258.3
TCGA-CL-5917-01A 71 years, female, white, stage:Stage IIIC, alive, 2376 days 1217.9
TCGA-AF-2693-01A 75 years, male, white, stage:Stage I, alive, 1155 days 1196.1
TCGA-AG-3902-01A 61 years, male, stage:Stage IIA, alive, 974 days 1186.1
TCGA-DY-A1DD-01A 77 years, female, white, stage:Stage IIIB, dead, 1741 days 1157.1
TCGA-EI-6510-01A 77 years, female, white, stage:'--, alive, 556 days 1096.5
TCGA-F5-6464-01A 77 years, female, white, stage:Stage IIIC, dead, 303 days 1092.8
TCGA-DC-6156-01A 62 years, male, white, stage:Stage IVA, alive, 943 days 1086.9
TCGA-AF-2687-01A 57 years, male, white, stage:Stage IIIC, alive, 1427 days 1022.8
TCGA-EI-6881-01A 60 years, male, white, stage:Stage IIIA, alive, 499 days 966.2
TCGA-EI-6511-01A 52 years, male, white, stage:Stage IIIB, alive, 482 days 955.1
TCGA-DY-A1DG-01A 75 years, male, white, stage:Stage IVA, dead, 1566 days 933.0
TCGA-EI-6882-01A 59 years, male, white, stage:Stage IIA, alive, 262 days 921.8
TCGA-AG-3731-01A 65 years, male, stage:Stage IV, alive, 1126 days 919.3
TCGA-F5-6811-01A 72 years, female, white, stage:Stage IIA, alive, 979 days 889.6
TCGA-CL-4957-01A 79 years, female, stage:'--, dead, 425 days 881.0
TCGA-DC-6158-01A 70 years, male, white, stage:Stage I, dead, 334 days 878.3
TCGA-AF-6655-01A 66 years, male, white, stage:Stage IIIA, alive, 609 days 871.9
TCGA-AG-3592-01A 68 years, male, stage:Stage IIA, alive, 1035 days 871.7
TCGA-AF-A56L-01A 48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days 871.0
TCGA-F5-6864-01A 74 years, female, white, stage:Stage IIIB, alive, 379 days 812.6
TCGA-F5-6861-01A 60 years, female, white, stage:Stage IIA, alive, 1160 days 810.2
TCGA-AF-4110-01A 77 years, male, white, stage:Stage IVA, alive, 912 days 789.3
TCGA-EI-6885-01A 57 years, female, white, stage:Stage IV, alive, 415 days 780.3
TCGA-AF-A56N-01A 47 years, female, black or african american, stage:Stage IIA, alive, 360 days 762.4
TCGA-DC-6157-01A 48 years, male, black or african american, stage:Stage I, alive, 1581 days 740.2
TCGA-AF-5654-01A 73 years, female, white, stage:Stage I, dead, 512 days 736.3
TCGA-EI-6513-01A 59 years, male, white, stage:Stage IIIB, alive, 497 days 719.9
TCGA-EF-5831-01A 72 years, male, white, stage:Stage IIA, alive, 127 days 717.9
TCGA-F5-6814-01A 57 years, male, white, stage:Stage IIA, alive, 1131 days 696.5
TCGA-DC-6683-01A 43 years, male, white, stage:Stage IIIB, alive, 762 days 685.1
TCGA-DT-5265-01A 51 years, male, asian, stage:Stage II, alive, 384 days 679.3
TCGA-G5-6233-01A 74 years, male, white, stage:'--, dead, 556 days 668.8
TCGA-AF-6136-01A 72 years, female, white, stage:Stage IIIB, alive, 741 days 664.8
TCGA-AF-3911-01A 48 years, male, white, stage:Stage IIIC, alive, 1148 days 658.6
TCGA-AF-2690-01A 76 years, female, white, stage:Stage IIIC, dead, 524 days 630.4
TCGA-DC-4749-01A 57 years, male, white, stage:Stage I, alive, 762 days 592.5
TCGA-DY-A1DE-01A 56 years, female, white, stage:Stage IIA, alive, 3932 days 584.8
TCGA-DC-6681-01A 70 years, female, white, stage:Stage IVA, alive, 790 days 560.9
TCGA-AG-4021-01A 84 years, female, stage:Stage IV, dead, 121 days 556.3
TCGA-DC-6154-01A 57 years, female, white, stage:Stage IVA, alive, 365 days 543.3
TCGA-EI-7002-01A 58 years, male, white, stage:Stage IV, alive, 364 days 487.5
TCGA-EF-5830-01A 54 years, male, white, stage:Stage IIB, alive, 106 days 479.6
TCGA-DC-6160-01A 68 years, male, white, stage:Stage I, alive, 1339 days 452.3
TCGA-DC-6682-01A 57 years, male, white, stage:Stage IIA, alive, 762 days 444.3
TCGA-EI-6884-01A 71 years, male, white, stage:Stage IIIA, alive, 328 days 415.6
TCGA-EI-6507-01A 60 years, male, white, stage:Stage IIA, alive, 607 days 414.6
TCGA-AG-3591-01A 66 years, female, stage:Stage IIA, alive, 1035 days 404.4
TCGA-DY-A0XA-01A 57 years, female, white, stage:Stage IIA, alive, 3846 days 387.1
TCGA-F5-6863-01A 71 years, female, white, stage:Stage IIIB, dead, 361 days 385.8
TCGA-EI-6883-01A 63 years, male, white, stage:Stage IIC, alive, 350 days 349.8
TCGA-AH-6897-01A 48 years, male, white, stage:Stage I, alive, 804 days 322.3
TCGA-EI-6917-01A 33 years, male, white, stage:Stage IIIA, alive, 531 days 304.4
TCGA-EI-7004-01A 37 years, female, white, stage:'--, alive, 257 days 225.8
TCGA-DC-5869-01A 62 years, female, black or african american, stage:Stage IIIB, alive, 943 days 159.6
TCGA-DC-4745-01A 49 years, female, white, stage:Stage IIIB, alive, 639 days 129.6
TCGA-DC-5337-01A 69 years, male, white, stage:Stage I, alive, 792 days 102.4
TCGA-DC-6155-01A 31 years, female, white, stage:Stage IIIA, alive, 425 days 89.9
Show allShow less
RECTUM ADENOCARCINOMA (VALIDATION) - Interactive survival scatter ploti

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

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

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

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

& Survival analysisi

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

MT-ND5 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.

: 7560.29
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 7105.2
Number of samples 207
Samples
Sample Description pTPM
U0576 69 years, male, NA, stage:T3N2M0, alive, 2540 days 22058.5
U0188 76 years, female, NA, stage:T3N1M0, alive, 2134 days 19192.8
U0542 68 years, male, NA, stage:T3N2M0, dead, 1482 days 18227.2
U0596 61 years, male, NA, stage:T3N0M0, alive, 2233 days 17218.5
U0804 66 years, female, NA, stage:T3N2M1, dead, 380 days 16661.3
U0550 43 years, male, NA, stage:T3N2M0, alive, 2191 days 16210.4
U0497 66 years, female, NA, stage:T3N1M0, alive, 1414 days 15260.7
U0366 67 years, male, NA, stage:T3NXM1, alive, 895 days 14644.4
U0458 49 years, male, NA, stage:T3N2M0, alive, 1073 days 14611.0
U0533 68 years, male, NA, stage:T3N2M0, alive, 2248 days 14206.3
U0364 67 years, female, NA, stage:T4N2M1, dead, 151 days 13387.4
U0346 67 years, male, NA, stage:T4N2M0, alive, 1148 days 12657.3
U0241 76 years, female, NA, stage:T2N1M0, alive, 552 days 12587.1
U0686 77 years, female, NA, stage:T4bN0M0, dead, 123 days 12567.3
U0861 62 years, female, NA, stage:T4N2M1, dead, 184 days 12290.7
U0128 86 years, female, NA, stage:T3N1M0, alive, 449 days 12183.1
U0212 77 years, male, NA, stage:T3N0M1, alive, 1330 days 11581.0
U0857 76 years, male, NA, stage:T4N2M1, dead, 954 days 11535.5
U0865 72 years, female, NA, stage:T3N1M1, dead, 856 days 11367.0
U0093 85 years, male, NA, stage:T3N2M0, dead, 1118 days 11323.1
U0675 84 years, female, NA, stage:T4N1M0, dead, 89 days 11305.9
U0298 72 years, male, NA, stage:T3N1M0, alive, 513 days 11301.5
U0271 69 years, female, NA, stage:T3N1M0, alive, 2414 days 11252.7
U0595 71 years, male, NA, stage:T2N0M0, alive, 2535 days 11221.2
U0800 74 years, male, NA, stage:T3N2M1, dead, 411 days 11196.4
U0820 74 years, male, NA, stage:T3NXM1, dead, 622 days 10876.9
U0587 47 years, male, NA, stage:T3N1M0, alive, 2107 days 10790.2
U0284 73 years, male, NA, stage:T3N2M0, alive, 581 days 10732.9
U0322 67 years, male, NA, stage:T4N2M0, alive, 1694 days 10651.7
U0666 59 years, male, NA, stage:T3N1M0, alive, 709 days 10591.8
U0594 71 years, male, NA, stage:T3N0M0, alive, 2852 days 10532.1
U0304 68 years, male, NA, stage:T3N2M0, alive, 2065 days 10319.8
U0353 62 years, female, NA, stage:T1N0M0, alive, 2912 days 10249.0
U0324 70 years, female, NA, stage:T4N1M0, alive, 938 days 10142.5
U0556 66 years, male, NA, stage:T3N2M0, alive, 2037 days 10109.0
U0848 86 years, male, NA, stage:T3N1M1, dead, 1185 days 10079.3
U0694 85 years, male, NA, stage:T4N0M0, dead, 489 days 9944.0
U0803 68 years, female, NA, stage:T3N1M1, dead, 495 days 9943.8
U0552 67 years, male, NA, stage:T3N2M0, alive, 1701 days 9906.7
U0561 68 years, female, NA, stage:T3N2M0, alive, 1577 days 9862.3
U0805 65 years, male, NA, stage:T3N1M1, dead, 731 days 9733.2
U0374 65 years, female, NA, stage:T2N0M0, alive, 1067 days 9717.3
U0577 59 years, female, NA, stage:T3N2M0, alive, 2474 days 9703.6
U0579 65 years, female, NA, stage:T4aN0M0, alive, 2845 days 9703.4
U0155 77 years, male, NA, stage:T2N0M0, dead, 1672 days 9692.8
U0539 66 years, male, NA, stage:T4N2M0, alive, 2017 days 9594.2
U0581 66 years, female, NA, stage:T3N2M0, alive, 1660 days 9593.3
U0555 60 years, male, NA, stage:T3N2M0, alive, 2043 days 9552.2
U0584 66 years, male, NA, stage:T3N2M0, alive, 2705 days 9539.9
U0640 64 years, male, NA, stage:T2N0M0, alive, 1696 days 9500.6
U0862 75 years, male, NA, stage:T4N2M1, dead, 1064 days 9068.7
U0592 90 years, female, NA, stage:T2N0M0, dead, 670 days 9067.5
U0602 79 years, male, NA, stage:T2N0M0, alive, 1385 days 9050.2
U0194 79 years, male, NA, stage:T3N1M0, alive, 680 days 9048.1
U0557 51 years, female, NA, stage:T3N2M0, alive, 2009 days 8878.8
U0809 85 years, female, NA, stage:T3N1M1, dead, 275 days 8728.4
U0409 61 years, female, NA, stage:T3N1M0, alive, 934 days 8653.9
U0793 80 years, male, NA, stage:T3N1M1, dead, 195 days 8586.5
U0237 71 years, male, NA, stage:T3N1M0, alive, 2492 days 8574.1
U0802 70 years, male, NA, stage:T3N2M1, dead, 338 days 8562.7
U0514 52 years, female, NA, stage:T2N2M0, alive, 2799 days 8533.6
U0512 65 years, male, NA, stage:T3N0M0, alive, 2550 days 8469.6
U0276 73 years, male, NA, stage:T3N1M1, alive, 934 days 8424.6
U0603 73 years, male, NA, stage:T2N1M0, alive, 1904 days 8379.0
U0417 54 years, female, NA, stage:T3N2M1, dead, 893 days 8355.3
U0652 76 years, male, NA, stage:T3N0M0, alive, 1319 days 8354.7
U0605 74 years, male, NA, stage:T2N0M0, alive, 952 days 8336.4
U0406 58 years, female, NA, stage:T4N2M1, dead, 778 days 8293.6
U0331 64 years, male, NA, stage:T3N1M1, dead, 906 days 8289.2
U0418 60 years, male, NA, stage:T4N1M0, alive, 1246 days 8286.2
U0535 54 years, female, NA, stage:T4N1M0, alive, 2473 days 8251.8
U0132 82 years, male, NA, stage:T3N1M0, alive, 1798 days 8194.2
U0325 67 years, male, NA, stage:T3N0M0, dead, 1947 days 8183.2
U0849 81 years, female, NA, stage:T4N0M1, dead, 267 days 8175.9
U0498 72 years, female, NA, stage:T4N1M0, alive, 1906 days 8149.2
U0478 75 years, male, NA, stage:T4N2M0, alive, 2051 days 8142.5
U0508 70 years, male, NA, stage:T3N1M0, alive, 1120 days 8056.8
U0088 86 years, male, NA, stage:T3N1M1, dead, 260 days 8028.8
U0713 63 years, male, NA, stage:T2N0M0, alive, 359 days 7987.5
U0140 80 years, male, NA, stage:T3N2M0, alive, 2655 days 7982.1
U0485 74 years, male, NA, stage:T3N0M0, dead, 2737 days 7962.6
U0814 80 years, female, NA, stage:T3N1M1, dead, 482 days 7915.3
U0750 64 years, female, NA, stage:T3N2M0, dead, 1393 days 7908.4
U0116 85 years, male, NA, stage:T3N1M0, dead, 930 days 7741.7
U0329 70 years, male, NA, stage:T3N1M0, dead, 805 days 7560.3
U0251 71 years, male, NA, stage:T2N0M0, alive, 1906 days 7475.8
U0494 73 years, male, NA, stage:T4N2M0, alive, 1290 days 7468.3
U0437 57 years, male, NA, stage:T1N1M0, alive, 849 days 7429.6
U0238 73 years, male, NA, stage:T3N0M0, dead, 868 days 7416.2
U0707 59 years, male, NA, stage:T3N1M0, alive, 518 days 7387.3
U0642 87 years, male, NA, stage:T3N0M0, alive, 1603 days 7349.8
U0468 38 years, female, NA, stage:T3N0M0, alive, 1921 days 7288.7
U0431 59 years, female, NA, stage:T3N1M0, alive, 695 days 7180.8
U0351 63 years, female, NA, stage:T3N2M0, alive, 2886 days 7173.6
U0538 73 years, female, NA, stage:T3N1M0, alive, 1308 days 7166.3
U0600 72 years, male, NA, stage:T3N1M0, alive, 1659 days 7157.0
U0565 84 years, male, NA, stage:T4N1M0, alive, 1452 days 7132.8
U0519 69 years, male, NA, stage:T4N2M0, dead, 519 days 7097.1
U0311 70 years, female, NA, stage:T3N1M0, alive, 1176 days 7067.2
U0553 68 years, female, NA, stage:T3N2M0, alive, 1704 days 6997.2
U0228 76 years, male, NA, stage:T2N0M0, alive, 963 days 6992.6
U0434 54 years, male, NA, stage:T2N0M0, alive, 2558 days 6989.2
U0192 76 years, male, NA, stage:T3N0M0, alive, 2081 days 6966.4
U0294 73 years, male, NA, stage:T4N0M1, alive, 561 days 6957.9
U0601 75 years, female, NA, stage:T4N1M0, alive, 1368 days 6915.6
U0558 63 years, female, NA, stage:T3N2M0, alive, 2011 days 6868.2
U0568 59 years, male, NA, stage:T4N1M0, alive, 1287 days 6839.8
U0299 71 years, female, NA, stage:T4N2M0, alive, 43426 days 6828.9
U0391 64 years, female, NA, stage:T3N0M0, alive, 1179 days 6756.8
U0258 73 years, male, NA, stage:T4N1M2, dead, 195 days 6674.6
U0593 74 years, male, NA, stage:T4bN0M0, alive, 876 days 6622.5
U0671 93 years, male, NA, stage:T3N1M0, dead, 785 days 6585.5
U0511 92 years, female, NA, stage:T3N0M0, dead, 2387 days 6542.6
U0147 78 years, female, NA, stage:T3N0M0, dead, 2085 days 6510.9
U0243 69 years, female, NA, stage:T3N2M0, alive, 2975 days 6502.8
U0220 76 years, male, NA, stage:T2N0M0, alive, 1066 days 6493.5
U0545 62 years, male, NA, stage:T3N0M0, alive, 2340 days 6479.4
U0578 42 years, male, NA, stage:T2N2M0, alive, 1724 days 6470.9
U0388 61 years, male, NA, stage:T2N1M0, alive, 2186 days 6430.9
U0380 62 years, male, NA, stage:T2N0M0, alive, 2155 days 6429.1
U0205 72 years, female, NA, stage:T3N2M0, alive, 2984 days 6267.4
U0086 86 years, female, NA, stage:T3N1M0, dead, 594 days 6252.1
U0484 55 years, male, NA, stage:T4N2M0, alive, 1275 days 6158.1
U0079 86 years, male, NA, stage:T4N2M0, dead, 1891 days 6071.3
U0572 67 years, female, NA, stage:T3N1M0, alive, 2621 days 6017.4
U0096 88 years, female, NA, stage:T4N2M1, dead, 257 days 6011.9
U0649 67 years, male, NA, stage:T2N0M0, alive, 1424 days 5928.7
U0641 61 years, female, NA, stage:T3N0M0, dead, 1626 days 5879.5
U0562 58 years, female, NA, stage:T3N1M0, alive, 3092 days 5808.3
U0279 74 years, male, NA, stage:T2N1M0, dead, 176 days 5755.2
U2761 74 years, female, NA, stage:T3N1M0, alive, 447 days 5698.2
U0645 60 years, male, NA, stage:T3N0M0, alive, 1567 days 5581.0
U0648 65 years, female, NA, stage:T3N0M0, alive, 1415 days 5412.9
U0097 83 years, male, NA, stage:T3N0M1, dead, 2903 days 5390.4
U0658 75 years, male, NA, stage:T3N2M0, alive, 1108 days 5370.9
U0371 62 years, female, NA, stage:T3N0M0, alive, 2688 days 5293.6
U0282 70 years, male, NA, stage:T3N2M0, dead, 1869 days 5261.4
U0650 57 years, female, NA, stage:T2N2M0, alive, 1331 days 5191.5
U0359 64 years, male, NA, stage:T3N2M0, dead, 2443 days 5170.3
U0470 39 years, female, NA, stage:T2N2M0, alive, 961 days 5136.1
U0532 72 years, male, NA, stage:T3N0M0, dead, 730 days 5072.4
U0466 40 years, male, NA, stage:T3N0M0, alive, 1381 days 5020.0
U0293 67 years, male, NA, stage:T3N1M0, alive, 2717 days 4902.7
U0232 71 years, female, NA, stage:T2N0M0, dead, 994 days 4803.7
U0454 46 years, male, NA, stage:T3N1M0, alive, 2997 days 4767.1
U0591 81 years, male, NA, stage:T2N0M0, alive, 1023 days 4757.9
U0296 67 years, male, NA, stage:T3N0M0, alive, 2610 days 4674.4
U2991 77 years, female, NA, stage:T1N0M0, alive, 135 days 4656.7
U0651 70 years, male, NA, stage:T3N0M0, alive, 1354 days 4626.3
U0657 46 years, female, NA, stage:T2N0M0, dead, 1109 days 4581.5
U0776 62 years, male, NA, stage:T4N2M0, alive, 1702 days 4539.0
U0407 59 years, male, NA, stage:T3N1M0, dead, 2027 days 4531.4
U0190 75 years, male, NA, stage:T3N0M0, alive, 2367 days 4507.7
U0415 56 years, male, NA, stage:T3N1M0, alive, 2526 days 4451.9
U0114 84 years, male, NA, stage:T3N0M0, alive, 1910 days 4440.9
U0423 55 years, female, NA, stage:T4N2M0, alive, 2735 days 4417.2
U0405 63 years, male, NA, stage:T3N1M0, alive, 829 days 4375.6
U0334 64 years, male, NA, stage:T3N1M0, alive, 3171 days 4349.8
U0647 85 years, female, NA, stage:T3N0M0, alive, 1476 days 4192.8
U0339 64 years, male, NA, stage:T3N2M0, alive, 2155 days 4097.1
U0173 77 years, male, NA, stage:T2N0M0, dead, 2375 days 4093.0
U0080 86 years, female, NA, stage:T3N0M0, dead, 489 days 4035.0
U0643 58 years, female, NA, stage:T2N1M0, dead, 1583 days 4029.9
U0457 50 years, male, NA, stage:T3N0M0, alive, 833 days 3971.1
U0001 69 years, female, NA, stage:T3N0M0, alive, 3188 days 3909.2
U0852 36 years, male, NA, stage:T3N2M1, alive, 1651 days 3876.7
U2836 87 years, male, NA, stage:T3N0M0, alive, 322 days 3712.1
U0305 66 years, male, NA, stage:T3N1M0, alive, 2676 days 3653.8
U0138 80 years, male, NA, stage:T3N1M0, dead, 2472 days 3652.4
U0663 78 years, female, NA, stage:T3N1M0, alive, 762 days 3623.3
U2834 70 years, male, NA, stage:T3N1M0, alive, 323 days 3568.4
U0604 67 years, male, NA, stage:T3N1M0, alive, 1522 days 3559.5
U0534 69 years, female, NA, stage:T3N2M0, alive, 1361 days 3553.9
U2960 52 years, male, NA, stage:T3N1M0, alive, 176 days 3502.8
U0255 68 years, female, NA, stage:T3N2M0, dead, 1079 days 3466.4
U3047 70 years, male, NA, stage:T3N2M0, alive, 205 days 3443.9
U0213 71 years, male, NA, stage:T3N1M0, alive, 3018 days 3411.8
U0402 58 years, female, NA, stage:T3N1M0, dead, 2487 days 3335.2
U0264 69 years, male, NA, stage:T4N2M0, alive, 2020 days 3324.3
U0654 72 years, male, NA, stage:T3N2M0, alive, 1220 days 3294.8
U3023 63 years, female, NA, stage:T2N0M0, alive, 404 days 3229.7
U2764 65 years, male, NA, stage:T3N2M0, alive, 440 days 3227.8
U0242 69 years, male, NA, stage:T3N0M0, alive, 2950 days 3195.8
U0492 63 years, male, NA, stage:T3N2M0, alive, 1114 days 3115.7
U0656 68 years, male, NA, stage:T3N2M0, alive, 1150 days 2838.2
U0637 56 years, male, NA, stage:T3N1M0, alive, 1997 days 2830.0
U2955 50 years, male, NA, stage:T3N1M0, alive, 181 days 2756.1
U0695 85 years, male, NA, stage:T3N0M0, alive, 566 days 2627.4
U0137 80 years, male, NA, stage:T3N1M0, dead, 1799 days 2562.2
U0230 70 years, female, NA, stage:T1N1M0, alive, 3152 days 2479.9
U0422 56 years, female, NA, stage:T3N2M1, dead, 1710 days 2432.6
U0120 80 years, female, NA, stage:T3N0M0, alive, 3233 days 2364.2
U2779 74 years, male, NA, stage:T3N0M0, alive, 419 days 2252.2
U2994 70 years, female, NA, stage:T4N1M0, alive, 132 days 2251.5
U0343 69 years, female, NA, stage:T2N0M0, alive, 701 days 2243.6
U0159 79 years, female, NA, stage:T3N1M0, alive, 1517 days 2203.8
U0502 65 years, male, NA, stage:T4N1M0, alive, 1065 days 2202.0
U0077 86 years, female, NA, stage:T2N0M0, dead, 588 days 2081.1
U0030 82 years, female, NA, stage:T2N0M0, dead, 987 days 1826.6
U0216 72 years, male, NA, stage:T2N0M0, alive, 2684 days 1791.4
U2943 79 years, male, NA, stage:T3N0M0, alive, 189 days 1746.7
U0638 52 years, male, NA, stage:T2N0M0, alive, 1801 days 1746.1
U0118 81 years, female, NA, stage:T3N2M0, dead, 350 days 1394.9
U0430 55 years, male, NA, stage:T3N2M0, dead, 2472 days 1327.0
U0174 81 years, male, NA, stage:T3N0M0, alive, 450 days 1312.9
U2972 91 years, male, NA, stage:T3N0M0, alive, 161 days 1260.9
U3049 72 years, male, NA, stage:T2N0M0, alive, 533 days 1114.8
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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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