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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.
CD81 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
398.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1773.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
872.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
844.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
740.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
736.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
689.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
678.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
674.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
655.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
649.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
624.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
623.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
621.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
618.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
616.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
611.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
607.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
591.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
589.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
588.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
584.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
584.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
576.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
565.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
561.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
559.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
559.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
558.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
557.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
549.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
545.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
543.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
540.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
532.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
530.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
528.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
527.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
526.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
526.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
523.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
521.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
520.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
512.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
510.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
509.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
506.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
505.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
504.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
502.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
499.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
498.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
496.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
494.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
482.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
482.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
479.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
478.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
475.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
473.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
472.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
471.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
469.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
467.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
466.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
465.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
462.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
459.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
458.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
455.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
455.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
452.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
449.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
449.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
449.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
448.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
446.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
445.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
444.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
444.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
443.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
441.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
440.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
440.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
440.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
437.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
435.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
435.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
435.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
434.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
430.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
429.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
428.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
425.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
424.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
423.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
422.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
421.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
417.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
417.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
416.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
416.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
415.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
415.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
415.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
412.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
412.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
410.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
408.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
408.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
408.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
407.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
406.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
405.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
403.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
400.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
399.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
396.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
396.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
394.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
391.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
389.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
387.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
386.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
385.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
383.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
382.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
382.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
379.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
379.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
379.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
378.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
378.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
376.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
374.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
374.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
372.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
372.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
369.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
368.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
367.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
367.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
363.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
362.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
360.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
358.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
357.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
357.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
356.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
355.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
353.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
352.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
351.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
351.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
350.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
350.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
349.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
349.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
348.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
346.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
344.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
343.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
343.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
342.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
342.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
339.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
337.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
335.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
335.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
335.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
334.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
332.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
331.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
330.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
329.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
329.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
323.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
321.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
320.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
320.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
316.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
315.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
315.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
313.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
310.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
310.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
307.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
307.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
307.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
304.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
304.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
304.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
302.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
301.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
298.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
298.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
297.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
296.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
295.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
294.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
291.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
290.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
289.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
286.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
284.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
283.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
283.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
281.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
281.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
279.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
278.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
278.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
277.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
276.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
269.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
269.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
265.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
264.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
263.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
262.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
259.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
253.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
247.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
247.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
246.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
244.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
244.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
243.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
240.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
240.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
239.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
237.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
236.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
234.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
233.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
228.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
226.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
226.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
223.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
220.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
219.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
218.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
217.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
216.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
210.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
203.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
203.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
201.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
194.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
177.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
171.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
171.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
156.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
116.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CD81 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
233.0
Number of samples
486
Samples
Sample
Description
TPM
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
512.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
460.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
435.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
430.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
420.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
419.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
412.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
410.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
408.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
396.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
388.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
386.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
369.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
366.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
366.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
363.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
361.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
360.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
360.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
359.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
358.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
357.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
356.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
354.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
354.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
353.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
351.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
349.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
348.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
348.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
346.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
345.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
345.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
344.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
343.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
342.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
342.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
341.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
341.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
340.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
339.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
339.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
335.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
335.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
334.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
334.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
332.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
328.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
328.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
328.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
328.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
322.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
322.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
321.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
320.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
320.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
318.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
316.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
316.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
316.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
316.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
315.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
315.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
314.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
314.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
314.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
313.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
313.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
311.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
310.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
309.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
304.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
303.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
301.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
300.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
299.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
298.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
298.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
296.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
296.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
296.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
296.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
295.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
295.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
295.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
295.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
294.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
293.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
292.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
292.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
292.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
290.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
290.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
290.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
290.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
290.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
289.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
289.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
288.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
288.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
287.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
286.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
286.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
285.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
285.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
285.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
285.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
285.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
284.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
284.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
283.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
283.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
283.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
283.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
282.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
281.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
281.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
281.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
280.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
280.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
277.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
277.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
277.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
277.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
276.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
275.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
275.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
275.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
275.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
275.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
274.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
273.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
272.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
272.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
271.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
271.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
271.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
271.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
269.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
269.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
268.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
268.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
267.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
266.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
266.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
266.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
264.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
264.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
262.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
262.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
261.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
260.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
260.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
259.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
259.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
258.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
258.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
258.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
258.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
258.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
258.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
257.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
257.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
257.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
257.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
256.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
256.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
256.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
256.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
255.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
255.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
253.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
253.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
253.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
252.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
252.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
252.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
250.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
250.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
249.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
249.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
249.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
249.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
248.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
248.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
248.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
247.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
247.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
247.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
246.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
245.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
245.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
245.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
245.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
245.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
244.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
244.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
244.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
243.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
243.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
243.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
242.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
242.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
241.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
241.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
240.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
240.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
240.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
239.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
239.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
239.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
239.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
238.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
238.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
238.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
238.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
238.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
236.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
236.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
235.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
235.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
235.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
234.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
234.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
234.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
233.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
233.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
233.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
233.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
232.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
232.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
231.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
231.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
231.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
231.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
231.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
230.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
230.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
229.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
229.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
229.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
229.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
228.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
228.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
228.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
227.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
227.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
227.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
227.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
227.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
226.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
226.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
225.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
225.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
225.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
225.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
224.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
224.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
223.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
223.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
222.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
222.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
221.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
221.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
220.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
220.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
220.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
219.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
219.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
219.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
219.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
219.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
219.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
218.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
218.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
218.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
217.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
217.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
217.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
216.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
216.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
215.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
214.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
214.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
213.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
213.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
212.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
212.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
212.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
211.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
211.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
211.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
210.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
209.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
209.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
209.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
208.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
208.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
207.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
207.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
207.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
206.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
206.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
206.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
205.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
204.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
204.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
204.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
203.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
203.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
203.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
203.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
203.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
202.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
202.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
202.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
201.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
201.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
201.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
200.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
200.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
200.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
200.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
200.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
199.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
199.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
199.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
199.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
198.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
198.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
198.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
198.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
198.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
197.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
197.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
196.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
196.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
196.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
196.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
195.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
195.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
194.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
194.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
193.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
193.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
193.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
193.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
192.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
191.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
191.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
191.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
190.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
190.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
190.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
190.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
190.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
190.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
189.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
187.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
186.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
186.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
185.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
185.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
185.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
185.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
185.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
184.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
184.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
184.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
183.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
183.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
183.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
182.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
182.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
182.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
181.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
181.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
180.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
179.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
179.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
179.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
177.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
176.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
175.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
175.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
174.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
174.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
174.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
174.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
173.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
173.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
173.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
172.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
172.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
171.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
171.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
170.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
170.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
170.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
170.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
170.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
170.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
170.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
170.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
169.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
169.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
169.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
168.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
168.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
167.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
167.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
166.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
166.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
166.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
166.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
164.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
164.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
163.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
163.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
162.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
162.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
161.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
160.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
159.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
157.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
155.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
155.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
155.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
154.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
154.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
154.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
152.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
152.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
150.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
150.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
148.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
148.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
148.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
148.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
147.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
147.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
146.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
145.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
145.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
144.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
142.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
142.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
141.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
140.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
140.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
139.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
139.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
138.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
138.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
137.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
137.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
136.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
132.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
132.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
131.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
130.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
130.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
127.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
127.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
123.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
121.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
120.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
117.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
115.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
115.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
110.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
109.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
107.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
106.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
100.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
100.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
97.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
93.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
89.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
89.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
88.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
86.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
78.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
28.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.1
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.
CD81 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
404.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
719.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
645.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
643.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
628.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
619.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
602.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
586.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
586.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
580.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
569.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
540.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
536.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
530.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
524.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
519.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
504.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
500.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
500.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
495.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
494.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
492.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
487.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
478.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
474.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
470.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
469.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
465.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
464.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
456.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
455.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
453.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
450.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
437.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
435.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
432.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
431.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
430.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
429.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
424.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
415.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
412.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
407.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
407.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
399.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
395.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
389.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
386.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
385.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
384.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
375.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
365.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
362.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
360.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
359.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
359.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
359.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
357.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
353.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
341.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
336.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
335.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
334.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
334.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
328.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
325.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
316.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
312.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
310.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
306.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
304.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
303.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
294.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
288.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
287.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
286.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
285.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
282.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
275.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
267.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
264.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
260.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
241.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
239.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
222.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
212.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
212.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
183.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
CD81 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
210.3
Number of samples
207
Samples
Sample
Description
TPM
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
482.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
449.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
432.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
408.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
408.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
401.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
389.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
386.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
385.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
379.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
372.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
370.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
356.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
356.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
356.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
355.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
353.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
352.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
351.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
343.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
340.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
339.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
324.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
318.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
311.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
309.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
309.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
308.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
305.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
300.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
300.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
299.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
297.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
296.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
294.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
294.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
294.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
293.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
293.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
293.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
290.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
289.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
286.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
281.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
273.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
271.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
270.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
269.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
268.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
267.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
260.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
260.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
259.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
257.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
256.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
254.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
253.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
247.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
247.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
247.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
245.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
242.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
242.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
241.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
240.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
239.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
239.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
239.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
239.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
236.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
236.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
236.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
233.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
232.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
228.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
227.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
227.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
227.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
227.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
226.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
225.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
225.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
222.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
222.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
220.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
216.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
215.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
214.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
214.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
211.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
211.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
210.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
209.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
209.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
204.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
202.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
201.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
201.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
200.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
198.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
197.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
196.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
195.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
195.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
194.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
193.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
193.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
192.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
192.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
191.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
190.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
190.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
189.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
183.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
183.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
183.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
183.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
183.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
181.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
180.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
180.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
179.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
178.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
178.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
177.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
176.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
171.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
171.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
170.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
169.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
168.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
168.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
167.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
163.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
162.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
161.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
159.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
158.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
157.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
157.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
155.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
155.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
155.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
155.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
154.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
153.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
152.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
152.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
152.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
151.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
151.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
150.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
150.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
149.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
148.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
145.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
145.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
144.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
143.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
143.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
142.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
138.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
137.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
137.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
135.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
133.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
132.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
132.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
131.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
131.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
127.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
126.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
126.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
125.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
124.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
123.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
122.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
121.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
121.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
121.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
120.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
118.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
118.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
117.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
116.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
114.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
114.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
112.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
112.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
110.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
109.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
109.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
107.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
105.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
105.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
104.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
103.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
101.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
98.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
95.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
92.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
85.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
84.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
77.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
66.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
63.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
25.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
02cde0c0-6840-495b-9b11-007d82_D2
Normal
2.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
2.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.8
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
1.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
1.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
1.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
1.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
1.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
1.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
1.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
1.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
1.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
1.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
1.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
1.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
1.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
1.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
1.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
1.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
1.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
1.0
1c070992-647b-4173-a481-904c4d_D2
Normal
1.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.9
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.9
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.9
41a04113-2061-4923-bca5-da586c_D2
Normal
0.9
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.8
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.8
82157a70-12f1-4913-b548-d98881_D2
Normal
0.8
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.8
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.8
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.8
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.8
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.7
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
0.7
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.7
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.7
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.7
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.7
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.7
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.5
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.6
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.7
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.7
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.7
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.7
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.8
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.8
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.8
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.9
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.9
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.9
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.0
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-1.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-1.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-1.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-1.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-1.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
