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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-ND5 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
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
1023.5
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
7503.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
4646.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
4284.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
3963.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
3499.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
3230.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
3068.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
2882.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
2802.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
2672.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
2577.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
2402.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
2314.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
2301.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
2056.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
2034.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
2009.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1982.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1958.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1953.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1924.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1918.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1903.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
1857.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1851.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
1835.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
1829.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
1796.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1729.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1721.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1720.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
1708.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1692.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1667.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1637.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1627.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
1620.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
1602.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1582.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1554.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1539.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1536.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
1534.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1533.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1524.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
1510.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1500.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1497.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1454.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
1448.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1445.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1438.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1417.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1417.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1406.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1400.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1399.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
1389.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1382.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1373.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1364.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1344.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1333.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1313.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
1303.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1298.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1296.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
1263.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1259.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
1245.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1238.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1230.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
1225.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1223.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1210.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1209.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1197.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
1182.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
1173.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1168.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1163.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
1156.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1153.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1151.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1141.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
1135.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
1128.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1126.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1112.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1105.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1099.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1094.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1092.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
1084.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1078.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1072.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1069.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1066.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
1066.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1063.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1060.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1058.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1046.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1037.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1029.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
1026.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
1023.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1020.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1011.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
1009.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1002.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
998.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
992.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
980.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
956.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
956.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
950.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
946.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
946.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
936.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
932.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
923.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
914.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
914.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
902.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
901.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
892.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
883.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
881.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
878.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
872.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
855.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
833.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
827.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
824.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
816.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
798.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
798.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
792.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
790.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
788.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
787.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
787.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
783.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
779.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
766.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
763.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
755.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
750.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
744.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
742.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
738.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
737.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
713.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
704.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
682.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
674.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
665.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
639.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
639.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
638.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
637.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
629.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
629.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
623.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
617.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
612.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
603.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
598.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
593.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
586.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
577.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
576.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
572.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
563.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
563.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
562.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
560.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
559.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
547.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
540.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
537.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
537.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
533.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
531.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
521.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
521.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
514.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
508.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
505.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
504.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
496.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
496.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
496.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
479.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
476.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
474.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
461.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
457.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
437.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
437.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
433.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
430.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
420.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
414.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
404.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
402.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
392.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
382.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
378.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
377.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
377.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
374.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
371.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
366.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
362.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
361.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
358.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
347.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
346.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
336.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
323.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
319.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
318.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
317.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
314.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
301.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
300.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
299.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
279.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
278.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
273.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
264.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
259.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
251.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
245.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
241.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
224.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
217.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
215.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
212.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
155.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
148.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
142.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
134.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
133.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
132.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
118.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
85.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
72.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
70.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
68.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
56.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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-ND5 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
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
3522.8
Number of samples
486
Samples
Sample
Description
TPM
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
10767.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
10193.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
10149.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
10102.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
9793.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
9042.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
8895.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
8842.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
8606.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
8434.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
8416.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
8244.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
8151.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
8149.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
7728.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
7618.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
7515.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
7437.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
7359.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
7345.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
7332.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
7298.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
7266.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
7212.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
7130.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
7093.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
7065.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
6984.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
6977.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
6941.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
6907.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
6906.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
6829.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
6797.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
6628.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
6616.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
6516.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
6429.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
6391.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
6386.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
6281.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
6187.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
6094.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
6080.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
6053.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
6024.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
5994.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
5921.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
5903.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
5891.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
5871.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
5866.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
5789.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
5775.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
5735.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
5716.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
5704.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
5689.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
5665.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
5656.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
5638.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
5608.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
5567.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
5531.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
5442.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
5396.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
5393.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
5376.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
5297.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
5272.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
5269.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
5235.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
5212.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
5198.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
5195.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
5184.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
5139.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
5132.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
5128.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
5124.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
5098.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
5093.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
5092.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
5047.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
5044.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
5040.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
5032.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
4999.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
4985.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
4947.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
4927.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
4893.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
4872.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
4855.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
4855.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
4838.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
4793.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
4776.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
4747.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
4736.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
4735.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
4734.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
4718.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
4714.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
4697.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
4683.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
4675.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
4667.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
4637.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
4606.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
4572.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
4563.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
4556.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
4539.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
4521.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
4506.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
4488.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
4486.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
4435.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
4423.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
4420.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
4401.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
4400.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
4399.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
4394.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
4391.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
4386.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
4375.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
4371.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
4361.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
4352.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
4340.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
4334.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
4326.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
4319.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
4315.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
4291.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
4285.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
4284.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
4282.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
4266.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
4256.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
4194.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
4194.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
4177.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
4171.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
4159.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
4157.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
4146.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
4130.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
4122.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
4119.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
4104.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
4078.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
4071.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
4057.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
4042.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
4040.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
4018.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
4017.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
4013.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
4002.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
3993.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
3990.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
3974.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
3964.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
3947.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
3943.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
3939.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
3929.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
3928.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
3925.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
3900.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
3897.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
3884.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
3881.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
3881.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
3871.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
3859.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
3846.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
3842.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
3827.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
3822.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
3811.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
3806.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
3801.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
3793.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
3790.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
3790.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
3772.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
3772.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
3744.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
3732.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
3729.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
3709.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
3696.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
3690.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
3689.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
3685.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
3685.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
3670.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
3647.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
3622.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
3611.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
3605.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
3588.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
3581.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
3569.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
3568.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
3566.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
3563.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
3518.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
3513.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
3494.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
3462.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
3457.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
3451.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
3450.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
3427.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
3423.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
3416.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
3415.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
3410.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
3404.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
3401.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
3394.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
3378.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
3357.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
3352.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
3305.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
3303.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
3297.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
3294.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
3279.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
3278.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
3272.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
3270.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
3248.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
3231.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
3228.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
3226.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
3225.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
3189.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
3185.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
3177.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
3171.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
3166.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
3152.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
3152.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
3150.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
3148.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
3147.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
3135.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
3069.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
3056.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
3052.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
3030.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
3028.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
3012.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
2997.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
2986.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
2982.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
2979.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
2970.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
2968.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
2968.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
2960.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
2952.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
2940.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
2936.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
2935.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
2930.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
2918.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
2911.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
2878.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
2877.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
2875.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
2871.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
2871.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
2870.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
2861.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
2858.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
2858.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
2842.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
2842.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
2830.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
2815.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
2807.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
2784.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
2783.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
2777.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
2774.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
2774.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
2759.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
2749.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
2743.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
2741.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
2737.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
2736.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
2728.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
2724.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
2713.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
2692.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
2691.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
2680.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
2675.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
2673.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
2667.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
2664.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
2644.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
2641.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
2625.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
2607.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
2606.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
2605.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
2597.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
2579.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
2572.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
2568.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
2552.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
2545.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
2536.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
2531.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
2527.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
2525.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
2518.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
2510.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
2498.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
2473.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
2471.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
2470.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
2451.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
2451.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
2439.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
2427.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
2424.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
2423.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
2423.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
2411.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
2410.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
2391.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
2386.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
2379.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
2366.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
2358.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
2312.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
2307.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
2300.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
2299.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
2287.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
2280.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
2272.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
2271.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
2259.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
2258.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
2255.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
2250.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
2241.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
2240.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
2236.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
2215.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
2201.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
2200.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
2189.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
2185.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
2180.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
2167.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
2165.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
2162.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
2157.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
2147.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
2142.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
2137.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
2135.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
2127.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
2119.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
2065.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
2064.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
2045.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
2039.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
2039.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
2035.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
2022.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
2006.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
1993.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
1985.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
1972.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
1961.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
1961.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
1955.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
1946.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
1930.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
1928.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
1910.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
1910.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1900.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
1880.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1872.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
1859.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
1835.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1833.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
1832.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
1819.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
1818.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
1802.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
1791.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1783.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
1770.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
1766.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
1758.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
1747.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
1725.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
1710.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
1704.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
1696.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
1690.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
1675.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
1669.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
1668.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1644.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
1635.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1633.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1611.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
1609.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
1604.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
1588.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
1587.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1575.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
1575.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1571.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
1563.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1557.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
1511.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1511.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1501.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1484.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
1479.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
1477.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
1468.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1464.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
1446.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1445.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
1429.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
1425.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
1423.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
1418.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1416.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
1414.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
1411.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
1408.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
1371.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
1369.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1366.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
1333.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
1312.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
1304.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1296.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1291.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
1289.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
1281.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
1268.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
1265.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
1249.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
1248.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
1239.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
1211.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
1196.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
1193.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
1140.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
1138.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
1132.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
1125.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
1099.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
1075.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
1059.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1054.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
1005.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
919.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
848.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
815.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
786.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
741.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
654.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
589.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 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-ND5 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
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
1022.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
3436.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3139.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
2747.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
2736.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
2700.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
2638.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
2255.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
2147.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
2147.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
2082.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
2073.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
2070.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
2034.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1827.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
1741.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1701.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
1681.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1648.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
1606.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1528.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
1465.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
1401.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
1384.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1371.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
1318.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1285.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
1200.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
1104.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1066.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1063.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1056.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1026.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1004.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
962.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
956.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
927.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
922.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
894.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
828.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
814.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
785.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
766.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
757.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
755.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
750.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
744.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
731.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
729.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
719.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
715.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
677.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
657.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
649.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
638.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
626.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
622.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
612.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
605.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
604.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
576.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
574.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
556.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
553.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
551.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
549.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
518.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
499.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
478.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
472.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
465.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
447.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
403.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
398.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
374.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
373.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
344.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
335.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
334.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
317.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
314.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
287.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
270.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
245.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
187.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
134.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
109.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
87.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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-ND5 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
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
5265.0
Number of samples
207
Samples
Sample
Description
TPM
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
18274.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
15542.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
13469.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
13120.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
12804.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
12189.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
11459.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
11234.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
11082.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
10787.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
10024.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
9923.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
9316.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
9141.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
9078.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
9033.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
8886.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
8865.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
8836.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
8690.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
8565.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
8381.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
8322.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
8177.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
8138.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
8122.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
8086.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
8027.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
7982.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
7913.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
7912.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
7865.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
7645.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
7631.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
7617.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
7557.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
7484.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
7462.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
7419.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
7418.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
7298.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
7284.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
7167.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
7152.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
7143.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
7001.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
6962.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
6946.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
6872.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
6842.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
6676.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
6676.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
6602.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
6564.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
6553.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
6504.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
6460.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
6301.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
6292.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
6265.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
6258.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
6254.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
6233.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
6233.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
6231.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
6218.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
6216.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
6189.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
6186.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
6185.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
6151.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
6075.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
6070.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
6048.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
6026.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
6013.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
5985.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
5969.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
5945.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
5675.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
5621.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
5607.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
5603.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
5577.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
5497.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
5493.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
5417.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
5410.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
5399.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
5348.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
5336.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
5308.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
5293.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
5287.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
5279.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
5266.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
5253.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
5238.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
5231.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
5200.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
5163.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
5151.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
5147.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
5114.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
5103.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
5099.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
5099.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
4933.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
4910.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
4900.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
4857.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
4806.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
4783.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
4780.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
4765.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
4760.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
4724.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
4721.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
4692.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
4643.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
4634.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
4509.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
4450.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
4416.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
4370.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
4302.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
4276.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
4270.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
4197.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
4134.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
3971.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3967.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
3957.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
3942.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
3913.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
3784.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
3771.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
3717.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
3673.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
3649.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
3648.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
3638.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
3636.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
3583.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
3511.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
3482.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
3458.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
3408.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
3398.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
3339.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
3282.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
3274.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
3229.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
3220.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
3188.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
3156.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
3123.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
3115.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
3071.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
3040.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
2966.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
2959.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
2949.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
2940.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
2846.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
2711.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
2695.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
2686.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
2671.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
2618.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
2614.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
2603.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
2595.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
2531.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
2514.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
2501.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
2480.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
2447.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
2364.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
2355.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
2344.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
2326.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
2301.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
2241.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
2093.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
2080.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
2080.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
2074.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1936.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1877.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
1862.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
1759.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
1719.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
1688.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
1678.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
1624.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
1624.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
1493.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
1431.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
1347.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
1323.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
1313.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
1066.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
982.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
968.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
949.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
845.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
