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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.
CAPNS1 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
443.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
853.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
828.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
763.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
741.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
707.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
707.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
705.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
688.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
680.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
663.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
654.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
647.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
638.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
632.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
627.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
622.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
616.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
612.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
610.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
608.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
605.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
596.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
584.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
582.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
578.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
576.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
574.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
573.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
573.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
571.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
569.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
566.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
564.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
564.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
562.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
558.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
556.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
553.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
551.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
550.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
550.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
548.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
546.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
546.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
545.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
545.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
540.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
537.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
537.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
535.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
534.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
533.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
532.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
532.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
532.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
527.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
526.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
524.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
523.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
520.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
517.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
517.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
516.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
515.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
512.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
512.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
511.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
509.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
508.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
503.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
500.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
499.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
498.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
498.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
497.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
497.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
496.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
496.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
495.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
493.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
492.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
491.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
489.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
487.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
486.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
484.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
482.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
481.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
478.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
476.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
473.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
473.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
472.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
471.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
469.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
469.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
468.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
468.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
467.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
467.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
462.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
462.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
460.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
460.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
460.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
459.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
457.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
454.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
452.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
452.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
452.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
452.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
449.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
447.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
447.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
446.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
446.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
445.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
445.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
443.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
443.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
443.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
442.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
442.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
441.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
441.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
440.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
440.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
438.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
438.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
437.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
436.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
436.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
436.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
433.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
433.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
432.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
432.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
431.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
428.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
428.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
427.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
425.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
424.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
423.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
422.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
422.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
422.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
421.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
420.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
415.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
414.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
414.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
412.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
411.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
410.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
410.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
410.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
409.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
407.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
406.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
406.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
405.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
404.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
403.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
401.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
401.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
400.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
399.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
398.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
396.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
396.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
395.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
394.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
393.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
392.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
389.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
389.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
389.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
385.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
385.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
385.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
383.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
382.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
381.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
380.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
376.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
376.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
376.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
376.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
376.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
372.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
372.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
372.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
371.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
367.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
366.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
365.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
363.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
361.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
361.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
359.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
358.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
358.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
358.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
357.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
357.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
357.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
356.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
355.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
352.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
351.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
350.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
346.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
346.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
344.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
339.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
337.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
336.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
333.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
332.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
332.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
331.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
328.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
320.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
318.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
318.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
317.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
315.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
310.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
301.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
291.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
289.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
289.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
287.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
285.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
282.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
273.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
272.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
267.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
264.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
261.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
253.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
253.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
245.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
237.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
221.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
201.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
166.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
133.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
112.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
103.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
92.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 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.
CAPNS1 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
334.3
Number of samples
486
Samples
Sample
Description
TPM
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
1256.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
922.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
715.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
668.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
658.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
631.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
607.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
598.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
566.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
563.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
558.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
538.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
526.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
512.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
488.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
488.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
488.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
488.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
487.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
485.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
480.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
479.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
479.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
476.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
470.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
465.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
463.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
461.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
453.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
451.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
451.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
450.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
450.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
448.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
447.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
441.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
440.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
439.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
438.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
437.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
434.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
430.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
428.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
427.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
426.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
423.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
422.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
422.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
420.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
420.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
419.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
416.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
416.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
415.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
414.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
414.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
411.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
411.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
411.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
410.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
409.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
409.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
408.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
406.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
405.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
405.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
403.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
402.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
402.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
402.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
401.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
400.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
399.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
398.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
398.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
397.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
397.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
397.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
396.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
396.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
395.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
395.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
395.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
395.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
395.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
394.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
394.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
392.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
390.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
389.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
389.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
389.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
389.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
389.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
387.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
387.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
386.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
386.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
386.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
384.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
383.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
381.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
381.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
380.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
380.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
380.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
378.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
378.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
377.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
376.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
376.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
375.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
375.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
374.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
374.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
374.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
374.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
373.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
373.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
372.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
371.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
371.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
371.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
369.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
368.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
368.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
366.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
366.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
365.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
365.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
364.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
364.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
364.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
363.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
361.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
360.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
360.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
360.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
360.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
360.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
359.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
359.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
359.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
359.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
358.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
357.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
357.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
357.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
357.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
356.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
356.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
356.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
355.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
355.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
355.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
355.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
354.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
354.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
354.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
354.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
354.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
354.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
354.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
353.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
353.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
352.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
352.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
352.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
352.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
352.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
351.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
351.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
350.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
350.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
350.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
348.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
348.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
348.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
347.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
347.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
347.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
347.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
347.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
346.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
345.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
345.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
345.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
345.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
345.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
344.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
343.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
343.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
343.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
342.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
342.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
342.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
342.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
342.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
341.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
341.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
340.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
340.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
340.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
339.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
339.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
339.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
339.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
339.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
338.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
338.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
338.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
337.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
337.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
336.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
336.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
336.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
336.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
335.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
335.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
334.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
334.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
334.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
334.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
333.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
332.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
332.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
330.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
330.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
330.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
330.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
329.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
329.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
328.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
328.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
328.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
327.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
327.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
327.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
327.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
327.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
326.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
325.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
325.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
324.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
324.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
324.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
323.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
323.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
323.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
322.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
322.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
322.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
321.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
321.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
321.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
321.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
320.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
320.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
319.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
319.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
319.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
319.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
319.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
319.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
318.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
318.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
318.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
317.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
317.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
317.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
316.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
316.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
316.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
316.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
316.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
315.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
315.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
315.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
314.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
314.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
314.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
314.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
312.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
312.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
312.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
312.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
312.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
311.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
310.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
310.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
310.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
310.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
309.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
309.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
309.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
309.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
308.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
308.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
308.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
308.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
308.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
307.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
307.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
306.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
306.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
306.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
306.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
306.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
305.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
305.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
305.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
304.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
304.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
304.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
304.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
303.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
303.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
302.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
302.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
302.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
302.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
302.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
301.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
300.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
300.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
299.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
299.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
299.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
299.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
298.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
298.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
297.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
296.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
296.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
296.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
295.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
295.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
295.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
295.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
295.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
294.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
294.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
294.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
293.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
293.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
293.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
293.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
292.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
292.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
292.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
291.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
291.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
291.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
291.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
290.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
289.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
289.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
289.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
288.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
288.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
288.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
287.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
287.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
287.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
286.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
286.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
285.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
285.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
285.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
284.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
284.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
283.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
283.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
282.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
281.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
281.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
280.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
279.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
279.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
277.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
277.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
276.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
276.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
275.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
275.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
275.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
274.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
273.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
272.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
272.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
272.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
272.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
272.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
270.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
270.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
268.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
267.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
266.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
266.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
266.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
265.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
264.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
263.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
262.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
262.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
261.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
260.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
260.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
259.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
259.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
258.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
258.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
257.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
257.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
257.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
256.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
256.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
254.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
254.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
254.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
253.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
252.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
252.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
251.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
251.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
250.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
249.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
249.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
249.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
248.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
248.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
247.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
247.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
246.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
245.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
245.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
245.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
245.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
244.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
244.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
243.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
242.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
242.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
241.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
239.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
238.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
238.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
237.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
236.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
233.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
232.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
228.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
228.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
227.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
227.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
226.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
226.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
226.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
226.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
225.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
225.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
224.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
224.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
222.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
218.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
217.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
213.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
213.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
207.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
206.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
205.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
196.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
193.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
193.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
192.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
189.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
188.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
187.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
181.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
166.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
165.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
162.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
160.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
149.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
20.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CAPNS1 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
420.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1667.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
657.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
643.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
624.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
622.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
603.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
600.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
563.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
559.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
528.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
521.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
505.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
496.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
490.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
489.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
486.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
482.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
481.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
480.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
479.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
478.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
472.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
471.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
466.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
458.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
458.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
458.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
450.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
442.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
439.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
435.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
435.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
433.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
429.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
428.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
426.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
409.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
409.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
405.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
404.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
403.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
395.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
391.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
390.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
387.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
383.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
382.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
381.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
369.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
369.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
366.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
366.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
366.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
366.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
364.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
363.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
362.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
362.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
362.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
361.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
359.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
356.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
354.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
351.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
350.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
348.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
345.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
342.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
339.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
338.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
336.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
333.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
325.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
321.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
319.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
316.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
316.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
309.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
309.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
306.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
301.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
300.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
297.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
279.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
272.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
214.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 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.
CAPNS1 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
305.2
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
927.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
590.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
540.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
528.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
517.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
514.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
500.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
500.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
472.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
459.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
452.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
448.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
446.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
446.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
442.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
438.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
419.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
416.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
416.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
415.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
409.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
408.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
405.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
405.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
403.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
389.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
384.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
380.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
380.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
379.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
375.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
373.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
369.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
366.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
364.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
364.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
363.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
363.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
362.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
362.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
362.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
361.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
360.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
357.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
357.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
355.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
354.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
350.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
348.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
346.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
344.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
343.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
342.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
342.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
340.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
339.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
339.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
339.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
339.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
338.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
337.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
332.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
329.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
327.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
327.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
327.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
326.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
326.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
324.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
323.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
321.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
321.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
319.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
319.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
318.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
317.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
316.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
316.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
315.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
311.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
308.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
308.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
307.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
307.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
306.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
306.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
305.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
303.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
303.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
303.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
302.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
301.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
299.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
298.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
298.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
296.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
296.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
296.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
295.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
294.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
294.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
294.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
292.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
292.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
291.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
290.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
289.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
289.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
288.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
288.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
286.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
286.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
286.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
286.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
283.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
281.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
278.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
278.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
277.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
275.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
275.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
274.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
274.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
273.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
273.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
272.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
272.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
270.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
269.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
269.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
268.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
267.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
266.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
266.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
266.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
266.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
265.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
264.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
264.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
264.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
263.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
263.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
261.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
260.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
260.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
259.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
259.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
259.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
258.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
257.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
255.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
255.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
255.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
254.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
254.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
254.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
251.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
250.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
250.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
248.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
247.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
246.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
246.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
245.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
243.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
243.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
242.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
242.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
242.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
241.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
241.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
239.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
238.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
237.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
237.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
235.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
235.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
234.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
233.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
230.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
228.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
225.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
224.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
222.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
220.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
219.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
211.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
211.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
207.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
207.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
205.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
201.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
201.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
200.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
196.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
196.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
192.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
186.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
184.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
182.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
178.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
176.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
171.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
169.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
167.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
137.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
31.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
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Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
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Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.7
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.