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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.
SSR4 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
538.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1118.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1079.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1055.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1052.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
1039.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1022.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
1013.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
984.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
965.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
952.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
923.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
918.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
910.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
898.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
895.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
889.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
884.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
846.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
838.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
813.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
802.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
801.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
796.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
789.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
787.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
787.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
781.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
781.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
772.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
761.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
758.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
753.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
740.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
740.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
730.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
721.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
721.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
716.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
715.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
715.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
706.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
704.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
697.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
696.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
690.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
689.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
689.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
686.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
685.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
679.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
678.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
676.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
671.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
651.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
650.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
648.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
644.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
642.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
640.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
635.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
635.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
632.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
630.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
630.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
629.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
628.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
623.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
621.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
617.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
616.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
613.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
610.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
610.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
607.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
607.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
604.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
603.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
596.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
593.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
590.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
590.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
589.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
589.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
587.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
587.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
583.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
582.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
581.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
580.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
577.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
567.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
566.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
565.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
564.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
563.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
563.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
561.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
557.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
551.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
550.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
550.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
548.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
546.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
544.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
543.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
541.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
541.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
540.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
538.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
536.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
534.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
533.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
533.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
532.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
526.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
524.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
523.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
523.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
521.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
519.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
519.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
517.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
515.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
513.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
513.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
511.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
508.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
507.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
505.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
498.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
498.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
496.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
495.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
494.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
490.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
489.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
488.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
487.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
486.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
481.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
481.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
480.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
479.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
477.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
473.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
471.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
471.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
470.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
468.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
466.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
464.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
463.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
463.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
462.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
460.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
460.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
459.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
459.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
457.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
452.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
451.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
447.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
446.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
444.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
441.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
441.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
439.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
436.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
435.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
435.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
434.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
432.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
430.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
428.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
428.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
428.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
425.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
425.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
422.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
421.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
420.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
419.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
415.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
414.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
411.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
411.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
411.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
411.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
410.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
408.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
408.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
407.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
407.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
406.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
404.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
404.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
403.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
402.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
400.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
398.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
398.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
398.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
395.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
393.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
392.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
391.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
390.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
388.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
387.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
387.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
386.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
386.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
382.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
381.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
381.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
381.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
378.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
376.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
369.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
369.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
366.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
361.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
360.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
352.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
349.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
349.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
346.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
341.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
340.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
340.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
339.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
338.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
338.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
337.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
336.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
335.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
331.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
322.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
319.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
314.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
313.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
301.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
300.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
300.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
297.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
296.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
285.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
277.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
270.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
260.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
257.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
245.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
243.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SSR4 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
235.3
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
655.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
584.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
511.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
501.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
477.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
460.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
454.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
452.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
451.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
434.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
421.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
416.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
412.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
409.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
402.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
400.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
399.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
394.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
386.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
383.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
381.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
381.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
379.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
377.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
377.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
376.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
371.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
370.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
368.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
368.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
364.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
364.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
361.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
361.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
361.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
360.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
356.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
354.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
354.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
354.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
350.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
349.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
344.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
342.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
342.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
341.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
341.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
341.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
340.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
339.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
337.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
336.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
336.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
333.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
332.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
330.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
329.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
329.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
329.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
328.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
327.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
326.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
325.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
325.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
325.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
323.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
323.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
323.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
322.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
322.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
320.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
320.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
319.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
319.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
318.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
316.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
310.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
310.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
310.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
309.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
308.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
307.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
302.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
302.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
301.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
301.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
301.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
300.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
299.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
298.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
298.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
297.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
297.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
296.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
295.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
295.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
294.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
294.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
293.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
291.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
290.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
289.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
289.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
288.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
287.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
286.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
285.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
283.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
282.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
282.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
281.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
281.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
281.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
280.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
279.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
278.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
278.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
277.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
277.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
277.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
275.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
274.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
273.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
272.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
272.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
271.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
269.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
269.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
269.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
268.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
266.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
264.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
264.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
263.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
263.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
263.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
262.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
262.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
262.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
262.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
262.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
262.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
261.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
260.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
260.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
258.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
257.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
257.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
256.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
256.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
256.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
256.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
255.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
255.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
255.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
255.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
254.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
254.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
253.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
252.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
252.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
252.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
251.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
250.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
250.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
250.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
249.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
249.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
248.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
248.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
248.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
247.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
245.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
245.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
244.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
244.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
244.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
244.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
244.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
244.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
243.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
243.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
243.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
242.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
242.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
241.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
241.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
240.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
240.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
238.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
237.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
237.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
237.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
236.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
236.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
235.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
234.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
234.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
234.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
233.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
233.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
233.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
233.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
232.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
232.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
232.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
231.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
231.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
231.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
230.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
230.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
229.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
229.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
228.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
228.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
228.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
228.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
228.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
227.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
227.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
227.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
227.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
227.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
227.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
226.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
226.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
225.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
225.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
224.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
224.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
224.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
224.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
224.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
224.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
223.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
223.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
222.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
222.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
222.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
222.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
221.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
221.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
221.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
221.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
221.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
221.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
220.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
220.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
220.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
219.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
219.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
219.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
219.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
219.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
218.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
218.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
218.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
218.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
218.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
218.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
217.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
217.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
217.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
216.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
216.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
216.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
216.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
215.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
215.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
214.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
213.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
213.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
213.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
213.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
213.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
213.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
212.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
212.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
212.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
212.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
211.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
211.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
211.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
211.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
210.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
209.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
209.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
208.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
208.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
208.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
208.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
208.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
207.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
207.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
206.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
206.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
206.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
206.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
205.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
205.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
205.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
205.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
204.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
204.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
204.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
204.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
203.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
203.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
203.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
203.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
202.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
202.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
202.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
201.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
201.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
201.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
201.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
200.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
200.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
200.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
200.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
200.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
199.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
199.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
199.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
198.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
197.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
197.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
196.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
196.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
196.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
195.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
195.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
195.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
195.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
194.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
194.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
194.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
194.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
193.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
193.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
192.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
192.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
192.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
192.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
191.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
191.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
190.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
190.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
190.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
189.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
189.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
188.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
188.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
187.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
187.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
186.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
186.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
185.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
185.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
184.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
184.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
183.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
183.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
183.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
183.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
182.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
182.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
182.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
182.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
181.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
181.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
181.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
181.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
181.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
180.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
180.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
180.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
180.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
180.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
178.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
178.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
177.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
177.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
177.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
176.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
176.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
175.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
174.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
174.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
174.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
173.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
173.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
173.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
173.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
173.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
172.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
172.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
170.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
170.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
170.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
170.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
169.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
169.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
169.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
168.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
167.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
167.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
167.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
166.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
166.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
166.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
166.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
166.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
166.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
164.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
163.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
163.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
162.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
161.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
161.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
160.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
160.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
160.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
160.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
160.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
160.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
159.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
159.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
158.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
158.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
158.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
156.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
155.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
154.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
154.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
154.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
153.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
152.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
152.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
152.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
151.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
150.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
149.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
147.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
146.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
146.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
145.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
144.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
143.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
143.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
142.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
142.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
142.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
142.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
141.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
138.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
138.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
138.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
137.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
137.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
137.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
137.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
133.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
131.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
131.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
129.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
128.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
124.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
122.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
122.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
119.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
115.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
113.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
113.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
109.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
101.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
100.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
99.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
95.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
95.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
89.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
88.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
64.2
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.
SSR4 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
532.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1450.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1007.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
941.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
917.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
841.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
813.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
804.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
784.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
784.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
782.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
774.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
763.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
717.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
686.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
679.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
676.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
670.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
659.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
650.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
641.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
617.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
605.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
597.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
591.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
587.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
586.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
585.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
579.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
569.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
567.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
564.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
560.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
558.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
556.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
555.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
554.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
553.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
542.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
537.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
519.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
517.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
515.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
514.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
508.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
498.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
498.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
492.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
490.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
484.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
481.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
478.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
459.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
452.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
451.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
449.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
447.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
444.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
440.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
436.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
429.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
419.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
418.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
418.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
413.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
408.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
402.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
400.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
399.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
399.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
379.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
376.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
375.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
368.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
362.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
361.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
360.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
358.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
352.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
345.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
338.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
321.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
311.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
293.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
288.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
276.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
274.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
272.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 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.
SSR4 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
213.2
Number of samples
207
Samples
Sample
Description
TPM
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
590.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
431.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
415.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
387.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
384.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
384.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
379.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
374.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
366.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
355.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
354.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
338.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
336.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
336.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
320.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
317.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
315.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
315.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
314.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
314.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
312.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
311.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
305.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
302.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
300.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
297.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
296.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
292.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
290.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
286.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
283.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
277.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
277.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
276.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
273.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
272.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
270.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
269.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
265.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
260.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
260.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
260.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
256.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
256.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
255.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
255.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
254.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
253.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
252.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
251.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
251.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
250.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
249.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
249.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
246.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
245.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
245.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
242.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
241.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
240.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
239.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
239.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
237.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
236.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
235.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
235.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
234.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
234.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
233.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
233.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
232.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
231.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
230.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
229.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
229.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
227.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
226.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
226.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
225.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
223.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
223.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
222.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
222.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
221.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
221.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
218.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
218.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
217.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
217.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
217.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
216.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
215.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
215.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
214.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
212.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
212.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
212.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
211.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
208.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
208.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
206.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
206.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
205.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
204.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
204.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
203.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
202.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
202.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
202.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
202.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
201.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
201.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
201.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
200.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
200.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
200.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
199.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
198.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
196.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
195.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
194.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
192.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
192.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
191.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
190.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
189.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
188.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
186.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
186.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
183.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
182.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
182.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
182.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
181.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
181.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
181.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
180.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
178.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
177.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
175.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
174.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
174.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
173.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
173.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
172.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
172.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
171.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
171.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
171.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
170.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
170.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
168.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
167.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
166.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
165.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
165.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
164.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
164.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
161.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
161.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
159.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
158.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
155.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
153.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
153.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
153.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
153.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
152.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
152.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
151.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
150.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
149.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
146.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
146.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
144.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
142.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
140.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
137.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
136.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
134.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
133.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
132.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
130.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
130.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
130.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
129.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
129.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
127.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
127.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
123.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
122.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
121.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
119.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
119.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
117.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
116.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
113.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
111.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
108.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
103.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
99.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
97.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
95.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
89.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
84.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
69.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
22.8
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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
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
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Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.8
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.9
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.9
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-1.0
b2400046-1d25-429d-a821-6040a6
Tumor
-1.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.1
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
