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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.
WASHC4 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
10.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
65.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
41.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
34.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
30.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
29.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
23.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
21.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
20.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
20.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
18.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
18.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
18.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
18.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
17.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
17.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
17.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
16.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
16.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
16.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
15.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
15.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
15.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
15.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
15.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
14.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
14.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
14.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
14.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
14.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
14.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
14.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
14.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
14.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
14.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
14.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
14.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
13.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
13.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
13.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
13.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
13.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
13.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
13.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
13.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
13.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
13.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
13.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
13.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
13.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
13.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
13.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
12.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
12.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
12.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
12.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
12.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
12.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
12.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
12.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
12.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
12.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
12.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
12.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
12.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
12.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
12.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
12.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
12.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
12.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
12.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
11.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
11.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
11.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
11.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
11.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
11.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
11.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
11.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
11.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
11.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
11.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
11.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
11.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
11.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
11.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
11.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
11.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
11.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
11.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
11.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
11.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
10.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
10.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
10.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
10.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
10.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
10.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
10.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
10.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
10.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
10.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
10.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
10.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
10.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
10.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
10.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
10.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
10.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
10.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
10.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
10.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
10.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
10.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
10.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
10.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
10.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
10.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
10.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
9.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
9.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
9.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
9.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
9.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
9.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
9.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
9.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
9.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
9.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
9.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
9.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
9.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
9.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
9.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
9.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
9.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
9.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
9.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
9.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
9.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
9.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
9.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
9.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
9.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
9.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
9.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
9.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
9.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
9.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
9.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
9.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
9.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
9.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
9.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
9.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
9.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
9.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
9.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
9.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
8.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
8.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
8.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
8.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
8.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
8.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
8.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
8.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
8.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
8.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
8.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
8.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
8.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
8.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
8.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
8.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
8.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
8.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
8.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
8.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
8.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
8.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
8.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
8.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
7.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
7.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
7.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
7.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
7.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
7.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
7.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
7.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
7.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
7.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
7.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
7.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
7.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
7.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
7.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
7.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
7.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
7.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
7.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
7.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
7.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
7.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
7.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
7.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
7.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
7.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
7.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
7.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
6.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
6.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
6.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
6.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
6.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
6.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
6.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
6.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
6.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
6.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
6.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
6.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
6.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
6.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
6.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
6.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
6.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
6.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
6.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
6.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
6.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
6.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
6.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
5.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
5.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
5.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
5.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
5.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
5.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
5.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
4.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
4.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 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.
WASHC4 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
32.3
Number of samples
486
Samples
Sample
Description
TPM
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
63.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
63.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
59.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
57.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
55.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
55.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
54.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
54.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
53.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
53.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
52.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
51.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
50.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
50.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
50.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
50.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
50.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
49.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
49.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
49.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
49.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
48.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
48.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
47.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
47.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
46.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
46.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
46.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
46.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
45.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
45.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
45.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
45.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
45.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
44.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
44.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
44.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
44.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
43.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
43.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
43.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
43.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
43.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
43.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
43.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
43.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
43.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
43.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
42.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
42.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
42.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
42.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
42.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
42.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
42.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
42.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
42.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
41.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
41.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
41.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
41.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
41.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
41.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
41.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
41.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
41.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
41.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
41.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
41.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
41.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
40.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
40.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
40.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
40.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
40.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
40.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
40.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
40.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
40.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
40.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
40.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
40.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
40.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
40.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
40.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
39.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
39.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
39.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
39.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
39.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
39.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
39.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
39.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
39.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
39.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
39.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
39.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
39.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
39.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
39.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
39.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
39.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
39.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
38.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
38.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
38.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
38.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
38.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
38.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
38.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
38.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
38.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
38.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
38.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
38.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
37.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
37.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
37.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
37.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
37.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
37.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
37.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
37.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
37.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
37.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
37.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
37.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
37.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
36.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
36.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
36.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
36.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
36.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
36.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
36.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
36.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
36.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
36.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
36.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
36.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
36.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
36.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
36.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
35.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
35.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
35.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
35.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
35.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
35.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
35.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
35.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
35.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
35.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
35.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
35.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
35.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
35.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
35.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
35.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
35.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
35.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
35.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
35.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
35.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
35.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
35.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
34.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
34.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
34.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
34.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
34.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
34.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
34.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
34.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
34.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
34.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
34.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
34.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
34.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
34.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
33.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
33.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
33.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
33.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
33.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
33.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
33.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
33.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
33.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
33.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
33.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
33.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
33.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
32.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
32.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
32.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
32.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
32.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
32.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
32.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
32.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
32.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
32.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
32.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
32.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
32.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
32.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
32.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
32.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
32.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
32.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
32.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
32.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
32.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
32.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
32.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
32.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
32.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
32.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
32.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
32.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
31.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
31.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
31.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
31.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
31.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
31.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
31.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
31.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
31.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
31.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
31.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
31.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
31.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
31.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
31.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
31.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
31.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
31.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
31.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
31.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
31.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
31.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
31.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
31.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
31.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
31.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
31.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
31.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
31.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
31.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
31.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
31.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
31.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
30.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
30.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
30.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
30.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
30.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
30.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
30.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
30.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
30.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
30.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
30.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
30.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
30.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
30.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
30.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
30.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
30.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
30.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
30.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
30.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
30.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
30.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
30.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
30.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
30.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
29.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
29.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
29.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
29.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
29.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
29.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
29.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
29.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
29.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
29.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
29.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
29.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
29.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
29.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
29.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
29.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
29.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
29.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
29.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
29.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
29.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
29.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
29.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
29.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
29.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
29.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
28.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
28.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
28.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
28.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
28.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
28.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
28.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
28.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
28.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
28.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
28.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
28.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
28.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
28.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
28.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
28.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
28.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
28.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
28.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
28.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
28.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
28.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
27.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
27.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
27.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
27.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
27.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
27.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
27.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
27.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
27.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
27.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
27.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
27.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
27.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
27.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
27.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
27.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
27.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
27.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
27.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
27.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
27.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
27.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
27.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
27.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
27.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
26.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
26.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
26.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
26.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
26.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
26.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
26.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
26.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
26.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
26.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
26.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
26.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
26.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
26.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
26.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
26.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
26.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
26.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
26.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
26.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
26.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
26.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
26.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
26.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
25.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
25.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
25.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
25.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
25.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
25.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
25.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
25.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
25.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
25.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
25.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
25.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
25.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
25.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
25.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
25.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
25.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
25.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
25.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
24.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
24.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
24.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
24.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
24.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
24.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
24.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
24.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
24.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
24.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
24.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
24.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
24.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
24.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
24.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
24.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
23.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
23.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
23.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
23.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
23.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
23.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
23.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
23.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
23.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
23.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
22.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
22.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
22.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
22.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
22.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
22.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
22.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
22.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
22.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
22.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
22.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
22.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
21.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
21.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
21.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
21.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
21.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
21.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
21.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
21.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
21.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
21.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
21.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
21.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
21.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
21.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
21.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
21.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
20.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
20.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
20.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
20.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
20.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
20.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
20.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
20.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
19.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
19.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
19.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
19.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
18.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
18.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
18.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
17.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
17.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
17.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
17.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
17.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
17.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
16.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
16.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
16.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
15.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
WASHC4 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
10.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
20.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
19.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
19.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
18.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
17.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
16.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
16.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
16.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
16.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
15.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
14.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
14.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
14.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
14.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
14.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
14.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
13.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
13.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
13.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
13.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
13.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
13.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
13.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
13.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
13.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
13.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
13.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
13.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
12.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
12.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
12.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
12.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
11.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
11.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
11.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
11.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
11.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
11.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
11.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
11.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
11.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
10.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
10.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
10.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
10.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
10.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
10.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
10.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
10.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
10.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
10.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
10.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
10.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
10.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
9.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
9.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
9.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
9.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
9.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
8.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
8.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
8.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
8.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
8.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
8.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
8.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
8.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
8.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
8.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
8.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
7.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
7.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
7.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
7.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
7.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
7.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
6.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
5.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
5.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
5.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
5.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
5.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
4.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
WASHC4 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
32.2
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
57.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
56.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
50.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
49.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
48.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
48.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
46.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
46.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
46.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
45.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
45.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
45.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
44.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
44.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
44.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
44.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
43.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
43.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
43.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
43.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
43.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
42.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
41.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
41.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
41.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
40.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
40.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
40.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
40.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
40.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
39.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
39.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
39.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
39.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
39.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
39.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
39.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
38.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
38.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
38.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
38.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
37.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
37.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
37.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
37.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
37.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
37.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
37.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
36.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
36.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
36.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
36.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
36.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
36.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
35.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
35.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
35.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
35.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
35.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
35.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
35.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
35.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
35.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
35.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
35.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
34.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
34.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
34.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
34.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
34.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
34.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
34.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
34.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
34.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
33.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
33.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
33.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
33.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
33.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
33.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
33.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
33.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
33.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
33.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
33.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
33.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
33.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
32.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
32.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
32.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
32.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
32.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
32.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
32.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
32.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
32.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
31.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
31.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
31.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
31.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
31.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
31.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
31.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
31.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
31.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
30.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
30.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
30.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
30.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
30.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
30.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
30.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
30.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
30.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
30.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
30.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
30.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
29.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
29.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
29.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
29.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
29.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
29.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
29.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
29.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
29.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
29.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
29.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
29.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
29.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
29.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
28.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
28.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
28.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
28.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
28.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
28.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
28.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
28.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
28.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
28.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
28.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
28.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
27.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
27.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
27.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
27.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
27.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
27.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
27.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
26.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
26.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
26.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
26.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
26.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
26.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
26.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
26.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
26.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
26.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
26.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
26.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
26.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
26.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
25.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
25.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
25.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
25.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
25.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
24.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
24.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
24.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
24.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
24.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
23.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
23.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
23.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
23.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
23.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
23.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
23.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
23.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
22.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
22.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
22.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
22.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
21.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
21.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
21.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
20.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
19.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
19.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
19.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
19.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
16.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
16.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
13.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
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Normal
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
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Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
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
