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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.
STK4 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
14.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
55.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
48.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
42.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
34.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
32.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
30.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
28.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
28.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
27.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
27.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
25.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
25.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
25.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
25.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
25.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
24.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
24.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
24.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
24.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
24.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
23.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
23.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
23.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
23.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
23.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
23.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
22.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
22.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
22.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
22.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
22.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
22.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
21.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
21.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
21.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
21.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
21.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
21.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
20.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
20.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
20.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
20.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
20.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
20.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
20.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
19.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
19.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
19.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
19.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
19.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
18.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
18.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
18.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
18.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
18.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
18.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
18.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
18.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
18.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
17.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
17.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
17.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
17.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
17.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
17.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
17.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
17.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
17.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
16.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
16.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
16.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
16.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
16.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
16.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
16.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
16.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
16.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
15.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
15.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
15.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
15.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
15.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
15.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
15.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
15.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
15.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
15.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
14.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
14.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
14.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
14.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
14.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
14.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
14.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
14.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
14.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
14.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
13.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
13.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
13.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
13.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
13.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
13.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
13.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
13.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
13.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
13.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
13.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
13.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
13.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
13.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
13.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
13.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
12.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
12.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
12.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
12.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
12.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
12.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
12.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
12.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
12.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
12.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
12.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
12.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
12.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
12.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
12.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
12.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
12.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
12.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
11.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
11.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
11.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
11.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
11.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
11.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
11.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
11.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
11.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
11.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
11.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
11.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
11.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
11.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
11.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
11.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
11.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
11.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
11.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
11.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
10.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
10.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
10.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
10.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
10.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
10.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
10.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
10.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
10.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
10.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
10.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
10.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
10.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
10.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
10.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
10.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
10.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
10.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
10.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
10.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
10.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
10.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
10.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
10.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
10.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
10.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
9.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
9.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
9.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
9.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
9.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
9.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
9.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
9.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
9.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
9.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
9.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
9.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
9.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
9.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
9.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
9.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
9.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
9.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
8.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
8.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
8.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
8.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
8.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
8.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
8.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
8.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
8.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
8.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
8.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
8.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
8.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
8.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
7.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
7.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
7.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
7.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
7.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
7.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
7.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
7.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
7.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
7.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
7.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
7.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
7.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
6.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
6.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
6.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
6.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
6.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
6.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
6.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
6.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
6.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
6.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
6.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
6.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
5.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
5.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
5.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
5.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
5.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
5.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
5.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
4.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 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.
STK4 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
35.2
Number of samples
486
Samples
Sample
Description
TPM
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
82.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
69.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
69.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
67.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
65.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
65.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
64.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
62.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
62.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
61.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
60.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
59.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
59.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
58.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
58.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
57.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
57.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
57.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
57.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
57.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
56.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
56.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
56.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
56.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
56.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
55.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
55.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
55.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
55.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
55.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
54.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
54.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
54.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
54.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
53.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
53.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
53.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
52.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
51.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
51.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
51.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
51.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
50.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
50.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
50.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
49.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
49.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
49.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
49.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
49.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
49.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
49.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
49.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
49.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
49.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
48.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
48.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
48.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
48.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
48.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
48.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
48.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
47.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
47.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
47.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
47.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
47.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
47.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
47.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
46.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
46.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
46.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
46.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
46.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
46.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
46.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
46.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
45.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
45.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
45.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
45.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
45.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
45.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
45.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
44.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
44.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
44.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
44.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
44.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
44.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
44.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
44.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
44.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
44.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
44.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
43.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
43.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
43.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
43.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
43.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
43.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
43.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
43.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
43.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
43.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
43.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
43.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
43.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
43.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
43.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
42.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
42.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
42.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
42.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
42.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
42.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
42.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
42.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
41.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
41.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
41.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
41.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
41.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
41.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
41.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
41.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
41.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
40.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
40.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
40.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
40.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
40.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
40.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
40.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
40.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
40.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
40.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
40.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
40.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
39.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
39.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
39.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
39.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
39.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
39.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
39.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
39.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
39.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
39.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
39.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
39.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
39.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
39.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
39.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
38.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
38.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
38.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
38.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
38.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
38.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
38.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
38.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
38.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
38.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
38.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
38.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
38.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
37.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
37.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
37.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
37.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
37.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
37.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
37.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
37.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
37.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
37.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
37.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
37.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
37.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
37.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
36.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
36.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
36.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
36.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
36.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
36.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
36.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
36.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
36.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
36.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
36.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
36.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
36.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
36.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
35.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
35.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
35.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
35.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
35.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
34.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
34.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
34.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
34.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
34.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
34.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
34.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
34.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
34.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
34.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
34.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
34.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
34.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
34.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
34.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
34.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
34.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
34.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
34.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
34.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
34.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
33.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
33.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
33.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
33.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
33.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
33.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
33.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
33.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
33.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
33.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
33.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
33.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
33.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
33.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
33.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
32.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
32.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
32.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
32.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
32.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
32.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
32.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
32.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
32.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
32.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
32.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
32.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
32.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
32.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
32.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
31.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
31.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
31.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
31.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
31.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
31.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
31.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
31.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
31.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
31.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
31.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
31.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
31.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
31.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
31.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
31.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
31.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
31.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
31.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
31.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
31.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
31.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
31.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
31.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
31.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
30.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
30.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
30.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
30.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
30.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
30.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
30.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
30.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
30.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
30.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
30.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
30.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
30.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
30.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
30.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
30.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
30.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
30.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
30.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
29.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
29.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
29.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
29.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
29.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
29.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
29.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
29.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
29.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
29.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
29.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
29.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
29.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
29.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
29.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
29.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
29.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
28.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
28.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
28.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
28.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
28.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
28.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
28.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
28.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
28.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
28.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
28.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
28.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
28.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
28.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
28.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
28.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
28.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
28.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
28.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
28.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
27.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
27.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
27.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
27.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
27.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
27.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
27.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
27.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
27.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
27.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
27.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
27.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
27.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
27.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
27.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
27.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
27.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
27.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
27.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
27.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
27.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
27.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
27.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
27.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
27.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
27.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
27.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
27.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
27.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
26.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
26.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
26.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
26.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
26.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
26.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
26.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
26.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
26.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
26.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
26.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
26.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
26.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
26.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
26.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
26.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
26.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
26.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
26.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
26.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
26.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
26.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
26.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
26.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
25.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
25.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
25.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
25.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
25.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
25.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
25.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
25.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
25.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
25.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
25.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
25.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
25.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
25.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
25.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
25.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
25.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
24.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
24.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
24.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
24.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
24.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
24.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
24.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
24.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
24.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
24.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
24.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
24.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
24.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
24.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
24.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
24.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
24.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
24.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
23.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
23.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
23.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
23.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
23.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
23.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
23.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
23.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
23.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
23.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
22.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
22.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
22.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
22.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
22.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
22.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
22.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
22.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
22.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
22.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
22.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
22.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
22.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
21.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
21.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
21.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
21.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
21.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
21.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
21.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
21.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
21.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
21.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
20.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
20.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
19.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
19.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
19.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
19.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
19.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
19.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
18.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
18.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
18.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
18.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
18.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
17.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
17.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
17.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
16.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
16.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.4
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.
STK4 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
15.3
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
33.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
33.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
27.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
26.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
25.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
23.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
23.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
22.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
22.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
22.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
21.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
21.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
20.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
19.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
19.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
19.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
19.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
19.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
19.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
18.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
18.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
18.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
18.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
18.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
18.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
18.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
17.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
17.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
17.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
16.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
16.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
16.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
16.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
16.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
16.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
16.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
16.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
15.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
15.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
15.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
15.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
15.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
15.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
15.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
14.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
14.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
14.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
14.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
13.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
13.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
13.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
13.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
13.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
13.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
13.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
13.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
13.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
12.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
12.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
12.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
12.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
12.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
12.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
12.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
12.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
12.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
12.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
11.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
11.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
11.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
11.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
10.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
10.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
10.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
10.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
9.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
9.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
9.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
7.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
7.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
6.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
6.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
6.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
4.6
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.
STK4 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
38.5
Number of samples
207
Samples
Sample
Description
TPM
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
94.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
76.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
66.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
64.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
64.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
61.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
61.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
60.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
58.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
57.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
57.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
56.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
56.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
55.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
53.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
53.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
53.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
53.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
53.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
52.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
52.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
52.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
52.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
51.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
51.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
51.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
51.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
51.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
50.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
50.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
50.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
49.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
49.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
49.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
49.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
49.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
49.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
48.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
48.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
48.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
48.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
47.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
47.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
47.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
47.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
47.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
47.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
47.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
47.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
47.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
46.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
46.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
46.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
46.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
46.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
46.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
45.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
45.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
45.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
45.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
45.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
45.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
44.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
44.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
44.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
44.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
43.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
43.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
43.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
43.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
42.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
42.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
42.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
42.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
42.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
41.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
41.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
41.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
41.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
41.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
40.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
40.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
40.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
40.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
40.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
40.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
40.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
40.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
39.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
39.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
39.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
39.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
39.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
39.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
39.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
39.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
38.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
38.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
38.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
38.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
38.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
38.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
37.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
37.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
37.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
37.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
37.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
37.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
37.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
37.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
37.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
37.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
37.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
37.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
36.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
36.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
36.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
36.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
35.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
35.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
35.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
35.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
34.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
34.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
33.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
33.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
33.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
33.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
33.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
33.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
33.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
32.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
32.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
32.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
32.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
32.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
32.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
32.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
32.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
32.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
31.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
31.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
31.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
31.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
31.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
31.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
31.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
30.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
30.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
30.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
30.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
30.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
30.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
29.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
29.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
29.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
29.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
28.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
28.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
27.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
27.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
26.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
26.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
26.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
26.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
25.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
25.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
25.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
25.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
24.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
24.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
24.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
24.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
23.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
23.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
23.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
23.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
23.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
23.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
23.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
22.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
22.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
22.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
21.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
21.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
21.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
21.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
20.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
20.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
19.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
19.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
19.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
19.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
19.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
18.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
18.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
18.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
16.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
13.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
1.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
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
