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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.
PKM 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
617.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1885.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
1732.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1522.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1470.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1390.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1387.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1323.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1300.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
1297.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
1263.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
1232.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1211.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1198.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1175.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
1161.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1155.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1148.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1115.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1112.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1095.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1084.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1083.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1056.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
1045.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
1039.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1036.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
1029.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1021.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1019.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
1002.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
999.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
973.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
954.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
940.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
921.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
904.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
894.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
893.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
891.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
887.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
882.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
874.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
874.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
869.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
862.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
844.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
843.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
841.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
839.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
825.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
824.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
819.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
816.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
816.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
814.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
808.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
802.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
799.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
798.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
795.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
794.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
793.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
787.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
782.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
780.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
773.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
773.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
770.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
770.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
770.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
763.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
763.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
753.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
742.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
741.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
739.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
722.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
716.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
710.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
708.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
708.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
702.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
699.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
694.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
692.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
690.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
686.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
682.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
676.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
670.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
670.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
665.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
661.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
657.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
655.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
654.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
651.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
646.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
637.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
634.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
629.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
626.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
613.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
611.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
608.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
606.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
605.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
599.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
598.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
593.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
591.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
591.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
589.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
588.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
584.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
577.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
574.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
571.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
569.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
569.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
567.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
557.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
555.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
552.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
548.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
547.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
542.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
542.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
541.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
537.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
535.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
535.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
532.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
527.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
526.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
526.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
524.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
523.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
520.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
518.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
514.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
514.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
513.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
513.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
512.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
511.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
504.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
502.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
494.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
493.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
483.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
480.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
480.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
479.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
478.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
478.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
477.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
474.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
471.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
470.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
464.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
454.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
448.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
448.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
445.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
445.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
442.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
442.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
437.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
436.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
431.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
430.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
429.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
427.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
424.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
423.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
422.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
421.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
420.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
416.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
415.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
411.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
409.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
407.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
406.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
406.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
406.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
403.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
399.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
399.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
397.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
397.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
394.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
393.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
392.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
386.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
385.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
378.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
375.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
370.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
368.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
368.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
367.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
367.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
366.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
365.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
364.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
360.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
359.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
354.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
351.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
348.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
347.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
346.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
345.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
342.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
337.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
331.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
330.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
329.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
329.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
324.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
323.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
318.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
317.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
315.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
315.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
314.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
314.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
312.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
307.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
304.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
304.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
304.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
302.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
301.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
298.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
297.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
291.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
288.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
287.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
280.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
267.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
261.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
261.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
251.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
245.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
244.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
243.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
230.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
224.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
214.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
202.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
PKM 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
544.3
Number of samples
486
Samples
Sample
Description
TPM
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
2040.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1888.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
1754.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1480.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
1466.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
1446.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
1421.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
1387.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
1287.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
1282.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
1278.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1268.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1265.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1227.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
1214.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
1212.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
1117.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
1102.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1082.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
1056.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
1055.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
1048.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1048.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
1028.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
1009.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
1009.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
1007.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
995.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
985.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
979.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
967.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
960.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
952.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
945.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
934.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
917.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
915.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
914.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
913.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
910.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
910.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
908.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
903.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
901.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
900.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
899.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
897.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
884.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
882.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
882.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
882.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
882.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
880.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
879.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
875.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
873.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
870.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
853.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
853.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
841.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
840.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
835.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
832.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
829.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
826.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
825.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
820.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
815.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
814.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
813.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
810.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
809.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
808.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
803.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
803.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
802.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
791.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
786.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
783.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
782.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
780.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
780.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
779.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
778.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
774.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
770.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
768.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
768.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
766.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
764.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
763.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
763.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
760.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
757.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
751.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
745.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
742.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
733.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
733.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
732.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
718.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
717.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
715.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
709.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
709.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
708.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
705.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
704.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
702.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
700.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
700.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
698.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
689.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
687.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
685.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
683.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
683.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
679.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
679.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
678.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
675.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
671.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
670.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
670.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
668.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
667.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
666.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
665.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
664.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
663.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
662.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
662.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
661.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
660.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
660.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
659.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
658.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
658.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
657.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
656.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
650.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
650.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
649.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
648.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
643.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
638.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
634.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
634.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
632.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
631.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
625.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
623.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
621.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
620.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
620.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
608.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
605.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
604.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
603.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
602.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
602.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
600.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
595.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
595.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
594.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
591.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
589.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
587.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
583.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
580.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
579.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
576.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
575.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
573.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
571.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
570.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
567.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
565.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
564.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
564.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
563.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
563.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
563.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
562.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
562.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
561.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
560.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
559.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
559.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
557.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
549.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
549.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
547.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
544.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
543.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
541.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
540.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
539.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
539.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
538.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
537.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
537.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
535.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
535.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
534.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
534.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
534.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
533.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
532.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
531.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
529.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
528.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
527.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
524.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
523.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
522.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
521.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
517.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
515.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
512.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
512.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
511.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
511.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
511.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
509.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
509.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
504.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
503.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
503.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
502.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
499.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
499.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
498.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
494.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
493.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
491.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
489.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
488.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
488.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
487.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
487.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
487.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
483.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
479.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
479.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
478.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
478.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
478.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
478.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
477.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
477.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
471.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
471.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
467.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
467.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
466.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
466.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
466.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
466.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
465.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
463.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
463.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
463.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
462.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
461.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
461.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
460.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
460.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
459.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
459.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
458.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
456.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
455.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
453.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
451.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
446.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
444.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
444.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
444.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
443.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
441.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
439.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
439.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
439.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
435.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
434.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
433.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
433.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
433.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
430.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
429.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
429.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
424.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
424.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
421.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
420.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
420.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
418.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
417.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
415.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
415.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
414.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
411.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
410.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
410.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
410.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
410.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
408.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
406.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
406.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
405.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
405.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
405.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
403.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
402.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
400.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
400.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
400.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
399.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
398.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
398.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
398.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
397.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
394.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
393.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
389.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
389.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
389.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
389.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
389.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
387.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
386.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
386.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
385.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
383.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
382.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
382.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
380.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
377.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
377.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
376.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
376.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
376.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
374.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
372.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
370.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
369.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
369.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
368.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
368.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
366.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
364.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
363.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
362.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
362.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
362.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
360.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
359.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
359.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
355.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
355.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
355.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
355.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
352.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
352.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
351.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
350.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
350.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
350.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
348.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
347.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
345.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
345.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
344.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
344.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
344.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
342.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
340.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
340.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
338.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
337.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
337.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
337.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
334.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
334.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
334.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
333.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
332.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
332.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
331.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
328.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
328.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
328.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
326.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
325.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
323.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
323.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
322.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
321.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
318.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
318.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
316.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
311.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
310.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
310.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
309.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
309.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
309.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
308.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
307.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
307.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
301.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
299.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
298.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
297.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
297.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
297.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
297.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
294.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
294.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
293.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
291.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
290.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
289.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
288.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
288.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
288.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
288.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
288.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
287.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
287.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
285.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
283.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
283.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
282.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
282.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
280.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
279.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
279.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
278.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
278.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
278.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
276.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
275.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
273.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
271.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
267.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
267.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
264.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
263.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
260.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
257.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
257.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
256.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
253.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
253.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
248.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
244.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
244.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
235.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
234.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
230.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
229.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
226.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
220.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
212.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
208.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
206.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
206.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
206.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
202.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
197.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
196.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
189.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
186.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
186.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
184.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
182.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
182.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
177.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
153.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
150.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
126.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
119.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
16.8
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.
PKM 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
510.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1346.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
978.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
962.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
955.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
951.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
940.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
901.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
901.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
828.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
805.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
787.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
725.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
703.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
701.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
697.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
693.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
692.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
689.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
685.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
681.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
670.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
658.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
657.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
623.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
620.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
605.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
590.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
584.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
583.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
579.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
579.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
575.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
573.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
572.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
556.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
555.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
549.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
534.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
515.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
506.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
489.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
487.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
482.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
477.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
470.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
470.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
467.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
462.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
459.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
450.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
450.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
447.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
443.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
439.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
427.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
386.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
386.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
380.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
378.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
378.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
368.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
360.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
349.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
335.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
322.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
320.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
315.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
310.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
308.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
301.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
301.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
300.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
299.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
299.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
287.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
285.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
263.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
261.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
257.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
257.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
247.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
239.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
220.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
214.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
208.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
200.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
180.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 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.
PKM 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
395.8
Number of samples
207
Samples
Sample
Description
TPM
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
875.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
806.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
794.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
788.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
761.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
754.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
740.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
735.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
720.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
717.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
711.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
689.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
671.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
664.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
662.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
655.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
654.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
649.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
624.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
618.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
605.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
598.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
595.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
591.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
576.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
546.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
543.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
542.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
540.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
540.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
537.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
536.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
533.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
525.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
521.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
519.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
511.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
510.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
510.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
509.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
508.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
505.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
505.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
504.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
493.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
492.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
489.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
489.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
488.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
484.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
482.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
477.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
477.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
476.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
465.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
462.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
461.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
461.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
459.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
453.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
443.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
443.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
438.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
436.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
436.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
434.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
431.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
429.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
427.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
424.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
423.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
422.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
420.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
417.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
417.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
415.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
413.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
412.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
412.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
412.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
411.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
409.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
409.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
409.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
408.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
408.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
402.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
398.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
396.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
395.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
392.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
389.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
388.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
386.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
385.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
385.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
381.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
381.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
378.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
375.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
375.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
374.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
373.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
371.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
370.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
368.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
368.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
367.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
366.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
365.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
364.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
363.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
363.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
360.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
358.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
355.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
354.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
352.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
351.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
349.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
349.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
348.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
348.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
347.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
347.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
347.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
345.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
340.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
336.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
336.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
334.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
333.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
332.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
331.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
329.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
329.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
325.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
318.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
316.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
313.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
313.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
310.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
310.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
304.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
304.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
302.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
300.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
299.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
299.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
299.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
297.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
296.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
295.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
293.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
289.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
283.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
282.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
282.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
281.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
279.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
278.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
278.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
277.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
274.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
274.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
274.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
272.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
271.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
267.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
265.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
264.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
260.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
258.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
258.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
256.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
256.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
256.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
255.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
254.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
252.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
251.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
251.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
251.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
250.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
248.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
247.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
239.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
238.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
236.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
224.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
217.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
216.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
215.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
209.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
204.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
203.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
201.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
187.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
185.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
180.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
180.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
176.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
170.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
169.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
157.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
132.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
35.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.9
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.9
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.8
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.8
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.