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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.
PRDX5 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
674.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
2940.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2258.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
1912.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1724.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1667.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1656.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1633.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
1544.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
1520.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1486.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1440.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
1433.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1427.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1343.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1331.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
1322.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1314.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1304.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1302.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
1287.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1260.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1222.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1213.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1205.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1197.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
1194.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
1192.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1189.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
1185.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
1184.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1182.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1171.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1166.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1155.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1148.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1126.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1121.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1098.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1079.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1077.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1068.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
1062.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1037.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1034.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1029.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1022.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1019.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1018.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
995.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
983.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
981.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
972.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
969.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
968.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
940.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
939.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
937.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
933.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
926.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
924.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
923.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
921.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
908.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
899.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
898.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
898.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
897.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
885.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
879.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
877.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
875.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
863.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
857.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
847.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
839.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
832.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
826.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
822.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
819.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
815.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
813.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
812.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
805.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
805.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
800.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
793.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
786.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
785.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
776.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
768.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
762.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
749.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
741.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
736.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
732.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
732.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
730.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
726.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
723.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
720.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
716.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
714.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
713.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
712.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
712.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
709.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
699.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
689.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
680.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
678.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
670.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
669.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
664.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
644.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
639.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
639.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
637.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
635.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
631.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
629.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
628.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
613.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
610.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
601.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
590.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
584.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
584.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
578.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
572.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
562.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
548.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
547.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
543.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
542.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
539.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
539.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
538.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
533.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
528.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
520.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
518.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
517.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
516.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
513.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
508.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
506.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
506.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
506.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
504.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
501.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
487.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
485.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
472.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
471.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
471.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
470.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
468.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
459.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
456.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
455.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
454.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
447.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
446.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
444.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
444.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
442.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
441.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
439.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
434.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
427.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
425.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
425.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
424.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
421.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
414.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
414.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
412.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
395.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
394.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
394.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
392.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
386.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
385.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
380.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
380.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
377.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
375.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
366.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
363.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
358.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
357.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
355.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
348.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
347.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
346.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
345.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
345.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
344.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
338.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
336.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
334.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
332.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
328.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
326.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
325.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
323.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
319.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
306.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
300.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
298.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
294.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
286.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
285.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
284.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
281.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
279.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
275.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
272.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
270.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
267.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
267.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
264.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
259.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
253.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
253.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
249.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
248.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
245.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
245.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
245.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
239.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
233.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
231.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
231.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
230.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
228.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
225.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
223.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
221.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
218.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
210.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
208.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
204.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
201.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
200.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
197.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
194.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
190.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
183.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
163.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
161.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
149.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
117.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 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.
PRDX5 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
225.2
Number of samples
486
Samples
Sample
Description
TPM
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
901.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
804.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
737.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
683.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
681.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
618.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
618.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
612.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
588.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
581.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
560.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
552.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
523.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
507.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
503.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
483.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
483.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
483.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
481.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
480.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
475.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
472.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
470.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
469.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
468.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
463.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
459.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
453.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
453.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
442.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
441.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
435.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
433.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
433.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
426.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
423.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
419.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
418.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
418.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
412.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
399.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
398.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
392.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
383.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
378.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
378.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
374.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
373.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
373.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
367.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
365.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
363.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
360.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
359.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
358.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
354.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
354.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
350.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
349.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
348.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
346.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
344.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
343.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
340.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
340.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
340.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
340.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
338.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
336.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
335.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
334.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
332.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
331.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
329.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
329.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
328.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
327.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
325.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
324.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
323.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
320.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
314.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
313.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
313.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
312.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
312.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
312.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
311.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
310.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
309.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
308.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
308.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
307.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
307.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
306.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
305.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
304.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
303.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
303.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
301.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
300.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
299.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
299.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
298.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
296.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
296.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
294.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
292.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
292.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
292.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
291.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
291.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
290.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
290.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
290.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
288.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
288.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
286.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
286.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
283.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
283.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
283.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
282.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
281.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
281.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
280.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
279.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
279.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
277.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
277.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
277.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
277.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
275.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
275.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
274.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
274.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
272.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
271.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
271.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
270.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
269.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
266.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
265.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
264.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
264.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
263.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
262.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
261.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
261.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
261.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
261.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
259.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
258.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
258.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
257.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
257.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
256.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
255.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
253.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
253.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
253.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
252.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
252.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
250.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
248.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
248.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
247.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
245.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
244.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
244.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
242.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
241.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
241.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
240.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
240.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
240.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
238.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
238.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
236.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
236.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
236.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
235.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
234.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
234.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
233.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
232.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
231.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
231.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
231.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
231.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
228.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
227.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
226.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
226.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
226.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
226.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
225.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
224.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
224.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
222.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
221.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
221.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
220.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
219.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
218.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
218.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
217.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
217.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
217.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
216.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
216.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
215.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
214.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
213.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
211.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
210.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
210.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
209.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
209.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
208.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
208.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
207.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
207.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
207.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
207.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
207.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
207.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
206.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
206.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
205.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
205.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
204.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
202.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
201.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
200.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
200.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
200.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
198.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
198.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
197.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
197.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
193.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
193.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
192.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
192.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
192.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
190.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
190.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
190.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
190.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
189.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
189.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
189.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
188.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
188.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
188.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
187.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
186.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
186.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
186.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
185.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
185.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
184.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
183.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
183.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
183.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
183.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
183.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
182.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
182.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
182.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
182.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
181.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
180.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
180.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
179.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
179.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
179.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
179.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
178.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
177.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
176.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
176.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
176.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
176.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
175.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
175.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
174.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
173.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
172.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
171.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
170.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
170.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
169.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
169.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
169.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
168.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
167.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
166.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
166.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
166.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
166.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
165.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
164.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
164.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
164.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
164.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
164.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
162.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
162.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
161.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
160.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
160.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
159.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
159.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
159.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
159.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
158.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
158.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
156.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
156.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
156.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
156.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
155.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
155.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
155.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
154.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
154.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
153.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
153.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
153.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
153.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
152.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
152.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
152.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
152.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
152.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
152.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
152.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
150.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
150.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
149.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
149.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
148.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
147.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
146.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
146.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
146.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
146.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
144.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
144.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
144.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
143.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
143.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
143.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
143.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
142.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
142.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
142.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
142.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
141.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
141.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
141.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
140.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
140.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
139.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
139.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
139.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
139.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
139.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
139.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
139.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
138.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
138.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
138.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
137.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
136.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
136.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
136.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
136.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
136.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
135.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
135.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
133.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
133.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
133.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
133.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
133.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
132.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
132.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
131.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
130.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
129.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
128.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
128.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
127.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
127.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
126.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
126.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
125.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
125.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
124.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
124.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
123.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
123.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
122.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
122.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
122.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
121.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
120.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
119.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
118.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
118.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
117.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
117.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
117.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
117.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
116.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
116.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
116.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
115.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
115.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
114.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
113.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
113.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
113.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
112.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
111.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
110.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
110.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
109.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
109.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
108.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
106.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
106.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
106.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
106.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
105.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
105.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
104.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
104.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
104.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
103.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
103.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
102.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
102.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
101.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
101.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
101.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
100.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
100.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
99.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
99.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
99.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
96.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
96.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
92.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
90.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
90.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
88.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
88.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
86.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
86.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
86.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
85.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
85.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
85.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
84.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
83.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
82.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
82.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
81.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
79.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
78.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
75.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
74.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
72.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
72.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
72.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
69.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
69.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
60.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
57.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
48.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.0
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.
PRDX5 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
744.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
2456.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2171.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1953.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
1812.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1733.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1443.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
1395.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1317.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1300.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1246.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
1228.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1183.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1166.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1131.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1110.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
1100.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
1070.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
1054.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
1012.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
986.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
970.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
970.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
930.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
925.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
922.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
911.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
847.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
847.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
845.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
827.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
825.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
810.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
792.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
787.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
786.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
782.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
776.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
762.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
741.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
732.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
728.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
716.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
716.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
692.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
689.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
686.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
676.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
602.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
599.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
582.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
561.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
558.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
536.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
522.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
509.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
498.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
497.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
496.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
477.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
455.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
441.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
433.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
432.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
426.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
402.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
400.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
386.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
381.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
361.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
357.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
353.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
351.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
344.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
337.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
334.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
323.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
319.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
310.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
308.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
288.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
261.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
256.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
242.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
229.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
222.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
215.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
169.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 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.
PRDX5 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
242.3
Number of samples
207
Samples
Sample
Description
TPM
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
679.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
623.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
532.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
499.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
492.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
488.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
464.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
445.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
445.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
444.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
430.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
424.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
410.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
406.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
402.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
380.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
380.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
380.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
377.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
375.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
368.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
367.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
364.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
360.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
356.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
355.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
341.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
339.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
339.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
339.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
339.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
338.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
334.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
331.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
327.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
324.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
323.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
323.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
317.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
317.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
317.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
315.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
315.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
308.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
307.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
307.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
304.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
303.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
302.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
301.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
298.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
297.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
297.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
292.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
292.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
289.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
287.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
287.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
287.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
286.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
286.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
284.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
283.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
283.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
282.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
282.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
281.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
281.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
280.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
279.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
276.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
275.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
274.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
272.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
272.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
272.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
272.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
269.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
269.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
268.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
268.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
267.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
267.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
266.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
260.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
259.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
259.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
258.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
257.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
257.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
254.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
254.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
251.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
251.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
250.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
250.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
247.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
247.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
245.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
245.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
244.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
243.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
239.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
239.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
238.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
237.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
235.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
235.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
234.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
233.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
228.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
226.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
224.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
224.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
221.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
221.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
218.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
216.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
215.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
214.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
213.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
213.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
213.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
212.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
212.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
212.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
210.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
209.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
209.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
208.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
207.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
204.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
199.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
193.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
193.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
191.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
191.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
189.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
188.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
187.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
185.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
184.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
183.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
182.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
176.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
174.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
174.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
174.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
174.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
173.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
172.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
168.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
166.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
166.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
166.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
164.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
163.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
163.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
161.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
161.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
160.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
158.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
158.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
157.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
156.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
156.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
155.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
154.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
153.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
152.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
152.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
150.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
146.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
142.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
142.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
138.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
137.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
133.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
133.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
132.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
121.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
117.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
114.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
114.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
113.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
112.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
111.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
109.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
105.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
101.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
100.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
100.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
99.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
99.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
95.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
93.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
90.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
87.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
86.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
84.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
82.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
80.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
77.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
69.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
64.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
60.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
33.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.9
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
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Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
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Normal
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
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Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
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Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
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Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
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Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
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Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
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Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
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Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
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Tumor
-0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.6
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.7
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.7
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.8
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.8
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.8
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.8
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.8
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Tumor
-0.8
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Tumor
-0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.9
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.9
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.9
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-1.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.1
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.