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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-ND6 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.
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.
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 TPM
2242.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
19911.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
16978.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
10063.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
8842.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
8455.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
8374.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
7704.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
6714.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
6589.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
6567.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
6108.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
5946.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
5853.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
5676.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
5131.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
5111.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
4980.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
4928.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
4772.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
4693.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
4640.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
4617.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
4579.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
4561.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4513.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
4474.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
4421.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
4403.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
4293.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
4270.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
4229.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
4159.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
4066.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
4035.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
4029.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
3981.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
3929.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
3908.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
3907.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
3900.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
3851.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
3815.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
3778.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
3674.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
3663.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
3598.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
3519.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
3519.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
3518.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
3419.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
3414.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
3363.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
3353.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
3320.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
3286.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
3192.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
3159.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
3099.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
3048.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
3034.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
3030.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
3028.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
3021.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
2962.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
2935.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
2926.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
2903.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2873.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
2868.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
2841.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2814.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
2814.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2702.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
2685.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
2653.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
2653.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
2570.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
2556.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
2541.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
2517.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
2484.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2467.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
2455.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
2419.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
2399.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
2368.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
2340.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
2309.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
2297.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2231.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
2227.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
2213.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2212.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2190.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
2169.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
2164.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
2140.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
2140.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
2135.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
2110.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
2098.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
2096.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
2096.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
2081.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
2072.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2066.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
2065.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
2031.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
2025.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2022.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
1974.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1966.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1908.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1908.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
1865.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1825.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1820.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1814.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
1807.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1806.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1799.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1792.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1781.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1774.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1754.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1738.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1724.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1721.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1694.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1660.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1631.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1611.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1603.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1600.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1585.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1581.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1581.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1574.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
1551.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1541.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
1529.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
1527.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
1491.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1460.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1458.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1450.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1423.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1418.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1412.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
1409.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1408.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1382.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1364.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
1348.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
1339.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1317.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
1251.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1250.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1228.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
1193.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1190.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
1156.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1154.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1144.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1140.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
1118.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1114.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
1104.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
1099.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1081.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
1065.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1054.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1044.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
1023.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
1001.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
999.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
986.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
978.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
964.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
960.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
951.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
935.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
935.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
932.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
930.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
923.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
916.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
913.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
904.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
897.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
896.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
879.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
865.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
858.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
853.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
821.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
820.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
783.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
764.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
762.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
746.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
702.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
688.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
687.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
683.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
661.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
646.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
642.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
636.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
636.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
615.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
602.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
595.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
577.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
574.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
570.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
554.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
551.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
547.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
527.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
522.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
518.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
464.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
461.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
426.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
420.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
403.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
394.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
382.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
367.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
353.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
350.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
339.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
338.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
323.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
318.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
303.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
289.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
267.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
265.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
263.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
261.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
236.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
229.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
217.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
194.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
141.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
134.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
111.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
82.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
58.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
44.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
42.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
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-ND6 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.
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.
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 TPM
2728.9
Number of samples
486
Samples
Sample
Description
TPM
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
11242.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
9995.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
9902.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
9060.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
8913.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
8633.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
8337.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
7775.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
7617.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
7382.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
7353.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
7288.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
7061.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
6897.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
6866.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
6810.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
6738.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
6547.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
6377.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
6138.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
6052.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
5753.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
5707.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
5647.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
5623.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
5611.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
5567.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
5559.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
5473.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
5423.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
5421.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
5291.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
5288.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
5193.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
5127.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
5100.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
5076.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
5031.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
4989.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
4983.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
4929.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
4900.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
4879.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
4865.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
4859.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
4741.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
4723.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
4719.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
4718.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
4679.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
4620.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
4594.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
4592.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
4566.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
4518.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
4517.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
4476.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
4442.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
4440.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
4431.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
4419.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
4417.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
4408.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
4373.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
4371.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
4365.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
4305.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
4278.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
4267.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
4265.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
4249.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
4240.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
4161.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
4160.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
4148.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
4107.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
4103.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
4101.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
4083.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
4036.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
4034.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
3994.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
3979.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
3958.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
3945.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
3924.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
3885.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
3879.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
3878.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
3874.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
3871.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
3867.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
3858.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
3847.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
3829.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
3824.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
3822.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
3821.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
3795.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
3770.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
3764.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
3751.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
3739.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
3734.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
3732.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
3725.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
3702.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
3696.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
3692.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
3667.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
3644.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
3640.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
3595.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
3580.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
3577.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
3570.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
3566.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
3554.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
3515.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
3462.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
3451.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
3451.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
3436.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
3432.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
3430.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
3430.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
3428.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
3414.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
3412.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
3408.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
3407.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
3402.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
3394.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
3389.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
3384.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
3342.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
3341.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
3338.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
3320.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
3307.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
3287.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
3278.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
3276.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
3270.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
3267.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
3246.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
3230.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
3227.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
3221.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
3200.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
3186.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
3172.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
3154.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
3146.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
3144.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
3142.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
3142.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
3139.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
3128.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
3122.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
3112.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
3112.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
3104.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
3104.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
3082.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
3047.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
3042.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
3041.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
3025.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
3013.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
3010.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
3006.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
2990.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
2989.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
2987.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
2986.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
2975.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
2973.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
2952.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
2940.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
2938.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
2937.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
2934.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
2925.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
2907.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
2900.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
2899.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
2889.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
2880.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
2873.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
2864.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
2857.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
2857.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
2842.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
2838.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
2836.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
2818.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
2817.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
2812.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
2795.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
2790.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
2782.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
2765.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
2763.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
2762.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
2760.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
2757.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
2735.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
2709.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
2699.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
2686.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
2679.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
2660.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
2657.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
2656.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
2610.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
2605.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
2603.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
2598.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
2591.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
2590.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
2586.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
2580.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
2576.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
2565.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
2563.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
2551.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
2548.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
2545.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
2522.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
2505.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
2502.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
2492.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
2433.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
2411.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
2411.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
2397.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
2380.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
2370.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
2359.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
2352.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
2337.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
2334.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
2320.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
2319.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
2311.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
2309.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
2299.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
2283.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
2281.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
2281.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
2281.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
2280.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
2268.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
2267.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
2266.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
2249.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
2246.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
2241.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
2192.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
2175.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
2159.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
2152.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
2141.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
2135.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
2131.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
2111.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
2110.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
2101.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
2099.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
2092.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
2084.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
2074.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
2066.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
2064.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
2063.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
2056.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
2051.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
2042.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
2041.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
2031.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
2031.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
2031.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
2029.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
2025.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
2019.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
2013.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
2007.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
1999.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
1999.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
1993.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
1990.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
1988.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
1985.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
1975.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
1975.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
1972.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
1970.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
1965.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1948.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
1941.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
1938.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1925.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
1920.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
1916.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
1910.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
1907.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
1892.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1891.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
1887.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
1880.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
1874.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
1874.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
1863.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
1859.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
1851.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
1847.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
1840.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
1837.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
1821.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
1811.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
1810.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
1808.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
1791.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
1777.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
1773.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
1766.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
1765.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
1762.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
1761.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
1750.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
1750.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
1747.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1747.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1741.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
1741.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
1728.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
1726.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
1722.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
1707.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
1683.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
1678.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
1678.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
1675.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1672.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
1666.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
1664.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
1662.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
1653.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
1651.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
1641.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
1640.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
1639.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
1630.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
1626.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
1620.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
1620.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
1619.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1618.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1616.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
1615.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1613.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
1602.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
1592.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1577.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1566.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
1559.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
1558.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
1554.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
1550.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
1537.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
1527.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1515.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
1507.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
1478.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
1475.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
1470.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
1457.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
1454.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
1451.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
1447.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
1439.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1439.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1438.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
1436.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
1436.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
1416.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
1414.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
1412.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1406.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
1402.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
1395.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
1393.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
1388.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
1388.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
1387.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
1379.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
1378.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
1373.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
1371.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
1368.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
1367.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
1366.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
1364.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
1346.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1340.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
1338.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1313.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1309.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
1302.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
1290.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
1288.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1283.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
1277.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
1258.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
1235.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
1234.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
1233.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1231.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1224.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
1212.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
1209.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1208.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
1202.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
1200.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1175.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
1169.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
1152.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
1151.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
1146.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
1135.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
1131.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
1130.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1099.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
1095.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
1093.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1092.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
1089.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
1086.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
1085.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1070.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
1069.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
1065.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
1061.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
1043.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
1039.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
1029.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
1009.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
1004.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
999.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
991.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
988.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
968.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
952.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
948.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
938.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
927.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
924.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
921.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
918.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
908.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
906.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
892.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
889.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
888.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
873.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
858.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
810.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
804.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
784.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
754.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
745.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
731.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
703.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
651.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
628.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
625.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
621.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
611.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
601.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
561.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
487.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
484.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
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-ND6 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.
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.
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 TPM
2085.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
8437.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
6778.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
6703.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
5649.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
5585.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
5478.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4895.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
4787.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
4619.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
4447.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
4438.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
4382.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
4376.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
4363.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
4285.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
4154.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
4067.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
3794.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
3465.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
3045.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
3012.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2850.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
2724.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
2722.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2399.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
2391.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
2378.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
2247.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
2161.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
2139.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
2133.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
2083.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1974.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
1949.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1851.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1761.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
1703.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1624.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
1613.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1562.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1558.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1541.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1489.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1458.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
1443.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1443.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1388.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1385.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
1349.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1334.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1293.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
1291.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
1286.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
1275.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1266.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1261.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
1147.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1032.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
1024.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
978.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
959.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
956.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
933.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
919.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
877.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
813.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
711.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
697.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
671.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
631.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
624.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
620.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
596.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
578.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
577.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
567.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
558.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
481.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
472.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
438.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
420.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
388.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
365.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
347.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
324.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
302.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
227.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
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-ND6 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.
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.
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 TPM
4158.2
Number of samples
207
Samples
Sample
Description
TPM
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
18402.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
14745.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
13306.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
11868.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
11753.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
11397.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
11228.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10222.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
10111.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
9807.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
9281.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
9248.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
8714.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
8403.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
8271.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
8203.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
8023.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
7820.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
7265.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
7216.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
7124.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
6922.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
6883.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
6881.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
6594.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
6511.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
6437.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
6431.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
6348.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
6297.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
6255.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
6133.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
6100.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
6091.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
6065.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
6032.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
5954.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
5885.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
5852.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
5843.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
5797.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
5656.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
5616.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
5609.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
5555.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
5530.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
5528.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
5510.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
5505.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
5486.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
5470.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
5392.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
5351.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
5325.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
5319.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
5220.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
5208.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
5189.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
5162.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
5137.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
5076.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
5041.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
4969.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
4946.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
4921.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
4905.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
4852.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
4720.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
4714.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
4664.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
4622.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
4614.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
4594.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
4532.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
4530.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
4527.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
4499.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
4489.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
4466.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
4421.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
4400.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
4378.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
4358.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
4318.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
4285.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
4282.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
4236.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
4192.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
4181.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
4178.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
4170.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
4156.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
4147.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
4067.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
4042.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
4011.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
3963.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
3953.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
3936.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
3935.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
3849.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
3815.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
3810.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
3762.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
3752.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
3675.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
3627.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
3610.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
3609.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
3605.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
3547.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
3538.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
3534.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
3510.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
3507.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
3501.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
3493.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
3415.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
3381.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
3364.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
3292.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
3256.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
3175.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
3154.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
3118.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
3117.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
3105.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
3101.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
3015.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
2973.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
2948.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
2893.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
2865.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
2861.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
2827.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
2782.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
2762.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
2703.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
2688.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
2571.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
2530.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
2528.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
2524.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
2459.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
2443.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
2426.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
2272.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
2261.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
2243.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
2231.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
2222.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
2217.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
2201.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
2157.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
2129.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
2126.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
2122.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
2099.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
2095.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
2089.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
2073.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
2066.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
2057.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
2048.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
1941.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
1849.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1818.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
1816.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
1794.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
1768.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
1747.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
1738.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
1679.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
1673.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
1666.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
1633.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
1606.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
1606.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
1588.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1575.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
1543.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
1518.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
1516.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
1503.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1492.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
1434.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
1386.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
1383.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
1377.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
1358.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
1328.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
1196.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
1140.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
1138.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
1116.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1088.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
1083.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
1053.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
952.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
942.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
919.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
833.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
833.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
775.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
697.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
542.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
528.6
Show allShow less
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.
The Human Protein Atlas project is funded
