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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.
STK39 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
28.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
71.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
62.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
58.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
56.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
55.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
54.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
54.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
52.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
50.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
50.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
50.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
49.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
49.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
49.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
47.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
47.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
46.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
46.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
45.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
43.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
43.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
43.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
42.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
42.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
42.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
41.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
41.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
41.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
40.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
40.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
39.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
39.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
39.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
39.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
39.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
39.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
38.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
38.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
38.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
38.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
37.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
37.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
37.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
37.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
37.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
37.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
37.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
37.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
37.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
37.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
37.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
37.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
36.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
36.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
36.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
36.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
36.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
36.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
35.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
35.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
35.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
35.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
35.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
35.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
35.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
35.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
35.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
34.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
34.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
34.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
34.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
34.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
34.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
34.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
34.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
34.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
33.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
33.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
33.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
33.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
33.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
33.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
33.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
33.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
32.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
32.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
32.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
32.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
32.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
32.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
32.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
32.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
32.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
31.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
31.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
31.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
30.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
30.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
30.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
30.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
30.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
30.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
30.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
29.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
29.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
29.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
29.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
29.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
29.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
29.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
29.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
29.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
29.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
28.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
28.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
28.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
28.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
28.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
28.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
28.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
27.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
27.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
27.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
27.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
27.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
27.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
27.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
27.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
27.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
27.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
27.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
26.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
26.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
26.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
26.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
26.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
26.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
26.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
26.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
26.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
25.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
25.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
25.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
25.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
25.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
25.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
25.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
25.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
25.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
25.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
24.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
24.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
24.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
24.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
24.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
24.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
24.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
24.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
24.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
23.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
23.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
23.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
23.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
23.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
23.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
23.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
23.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
23.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
23.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
23.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
23.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
22.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
22.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
22.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
22.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
22.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
22.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
22.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
22.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
22.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
22.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
21.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
21.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
21.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
21.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
20.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
20.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
20.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
20.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
20.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
20.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
20.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
19.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
19.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
19.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
19.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
19.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
19.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
19.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
19.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
19.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
19.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
19.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
19.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
18.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
18.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
18.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
18.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
18.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
18.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
18.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
18.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
18.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
17.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
17.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
17.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
17.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
17.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
17.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
17.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
17.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
17.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
17.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
17.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
17.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
16.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
15.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
15.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
15.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
15.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
15.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
15.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
15.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
15.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
14.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
14.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
14.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
13.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
13.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
13.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
13.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
13.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
12.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
12.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
12.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
12.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
11.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
11.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
11.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
9.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
8.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 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.
STK39 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
38.6
Number of samples
486
Samples
Sample
Description
TPM
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
102.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
88.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
84.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
77.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
77.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
73.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
73.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
70.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
69.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
69.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
68.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
66.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
64.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
63.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
61.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
60.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
59.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
59.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
58.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
58.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
58.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
58.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
57.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
57.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
57.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
57.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
57.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
57.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
57.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
57.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
56.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
55.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
55.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
55.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
54.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
54.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
54.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
54.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
54.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
54.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
54.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
53.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
53.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
53.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
53.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
53.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
52.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
52.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
52.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
52.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
52.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
51.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
51.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
51.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
51.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
51.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
51.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
50.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
50.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
50.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
50.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
50.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
50.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
50.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
50.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
50.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
49.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
49.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
49.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
49.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
49.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
49.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
49.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
49.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
49.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
49.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
49.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
49.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
48.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
48.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
48.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
48.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
48.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
48.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
48.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
47.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
47.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
47.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
47.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
47.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
47.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
47.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
47.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
47.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
47.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
47.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
47.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
46.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
46.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
46.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
46.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
46.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
46.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
46.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
46.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
46.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
46.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
46.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
46.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
46.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
45.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
45.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
45.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
45.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
45.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
45.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
45.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
45.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
45.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
45.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
45.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
44.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
44.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
44.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
44.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
44.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
44.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
44.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
44.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
44.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
44.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
44.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
44.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
43.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
43.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
43.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
43.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
43.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
43.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
43.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
43.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
43.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
43.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
43.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
42.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
42.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
42.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
42.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
42.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
42.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
42.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
42.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
42.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
42.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
42.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
42.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
42.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
41.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
41.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
41.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
41.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
41.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
41.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
41.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
41.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
41.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
41.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
41.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
41.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
41.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
41.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
41.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
41.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
41.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
41.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
41.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
41.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
41.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
41.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
41.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
41.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
40.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
40.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
40.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
40.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
40.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
40.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
40.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
40.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
40.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
40.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
40.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
40.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
39.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
39.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
39.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
39.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
39.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
39.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
39.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
39.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
39.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
39.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
39.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
39.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
39.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
39.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
39.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
38.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
38.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
38.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
38.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
38.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
38.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
38.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
38.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
38.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
38.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
38.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
38.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
38.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
38.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
38.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
38.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
38.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
38.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
38.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
37.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
37.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
37.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
37.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
37.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
37.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
37.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
37.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
37.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
37.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
37.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
37.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
37.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
37.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
37.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
37.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
37.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
37.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
37.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
37.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
37.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
37.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
37.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
37.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
37.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
37.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
37.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
37.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
37.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
37.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
36.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
36.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
36.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
36.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
36.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
36.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
36.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
36.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
36.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
36.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
36.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
36.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
36.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
35.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
35.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
35.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
35.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
35.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
35.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
35.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
35.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
35.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
35.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
34.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
34.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
34.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
34.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
34.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
34.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
34.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
34.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
34.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
34.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
34.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
34.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
34.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
34.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
34.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
34.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
34.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
34.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
34.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
34.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
34.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
33.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
33.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
33.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
33.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
33.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
33.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
33.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
33.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
33.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
33.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
33.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
33.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
33.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
33.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
33.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
33.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
33.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
33.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
32.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
32.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
32.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
32.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
32.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
32.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
32.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
32.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
32.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
32.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
32.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
32.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
32.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
32.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
32.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
32.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
32.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
32.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
32.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
32.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
32.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
32.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
31.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
31.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
31.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
31.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
31.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
31.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
31.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
31.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
31.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
31.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
31.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
31.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
31.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
31.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
31.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
31.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
31.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
31.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
31.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
31.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
31.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
31.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
31.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
31.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
31.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
30.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
30.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
30.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
30.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
30.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
30.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
30.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
30.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
30.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
30.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
30.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
30.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
30.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
30.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
30.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
30.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
30.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
29.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
29.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
29.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
29.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
29.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
29.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
29.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
29.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
29.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
29.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
29.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
29.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
29.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
28.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
28.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
28.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
28.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
28.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
28.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
28.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
28.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
28.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
28.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
28.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
28.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
28.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
28.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
28.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
28.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
28.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
28.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
27.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
27.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
27.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
27.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
27.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
27.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
27.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
27.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
27.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
27.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
27.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
27.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
26.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
26.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
26.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
26.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
26.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
26.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
26.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
26.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
26.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
26.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
26.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
25.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
25.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
25.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
25.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
25.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
25.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
25.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
25.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
25.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
24.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
24.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
24.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
24.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
24.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
23.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
23.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
23.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
23.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
23.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
23.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
22.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
22.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
22.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
22.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
22.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
22.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
21.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
21.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
20.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
20.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
19.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
19.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
17.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
16.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
14.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
12.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
11.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
9.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
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.
STK39 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
27.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
51.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
51.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
50.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
45.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
44.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
44.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
43.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
42.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
42.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
41.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
41.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
38.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
37.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
36.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
35.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
35.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
35.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
35.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
35.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
35.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
34.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
34.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
33.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
32.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
31.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
31.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
31.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
31.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
30.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
30.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
30.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
30.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
30.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
29.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
29.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
29.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
29.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
29.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
28.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
28.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
28.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
27.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
27.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
27.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
26.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
26.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
26.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
25.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
24.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
24.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
24.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
24.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
24.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
24.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
24.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
23.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
23.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
22.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
22.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
22.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
22.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
21.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
21.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
21.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
21.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
20.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
20.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
20.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
20.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
20.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
19.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
19.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
18.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
18.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
16.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
16.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
15.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
15.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
15.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
12.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
12.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
10.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
10.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
9.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1.8
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.
STK39 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
32.1
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
65.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
62.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
62.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
58.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
58.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
56.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
50.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
50.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
49.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
49.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
49.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
49.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
46.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
46.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
45.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
45.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
45.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
45.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
44.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
44.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
44.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
43.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
43.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
43.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
43.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
43.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
42.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
42.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
42.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
42.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
42.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
41.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
41.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
40.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
40.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
40.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
40.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
39.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
39.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
39.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
39.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
39.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
39.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
38.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
38.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
38.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
38.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
38.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
38.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
38.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
37.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
37.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
37.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
37.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
37.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
37.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
37.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
36.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
36.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
36.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
36.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
36.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
36.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
36.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
35.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
35.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
35.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
34.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
34.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
34.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
34.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
34.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
34.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
34.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
34.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
34.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
34.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
34.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
34.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
34.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
33.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
33.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
33.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
33.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
33.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
32.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
32.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
32.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
32.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
32.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
32.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
32.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
32.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
32.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
32.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
32.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
31.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
31.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
31.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
31.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
31.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
31.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
31.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
31.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
31.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
31.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
30.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
30.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
30.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
30.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
30.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
30.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
30.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
30.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
30.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
30.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
29.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
29.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
29.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
29.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
29.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
29.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
29.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
29.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
29.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
29.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
29.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
28.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
28.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
28.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
28.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
28.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
28.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
28.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
28.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
28.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
28.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
27.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
27.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
27.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
27.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
27.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
27.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
26.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
26.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
26.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
26.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
26.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
26.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
26.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
25.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
25.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
25.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
25.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
25.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
24.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
24.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
24.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
24.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
24.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
23.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
23.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
23.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
23.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
23.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
23.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
23.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
23.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
23.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
23.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
22.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
22.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
22.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
22.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
22.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
21.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
21.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
21.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
21.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
20.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
20.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
20.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
20.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
20.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
19.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
19.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
19.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
19.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
18.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
18.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
17.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
17.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
17.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
17.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
17.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
16.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
15.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
15.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
14.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
12.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
11.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
11.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
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Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
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Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
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Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
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Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
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Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
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Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
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Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
