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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.
SNTB1 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
23.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
95.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
82.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
80.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
80.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
72.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
68.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
68.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
64.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
62.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
62.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
61.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
59.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
57.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
55.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
54.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
53.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
49.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
49.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
48.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
48.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
48.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
47.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
46.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
46.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
44.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
44.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
43.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
43.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
43.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
43.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
42.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
42.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
42.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
42.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
42.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
41.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
41.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
40.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
39.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
39.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
39.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
39.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
38.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
38.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
37.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
36.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
36.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
36.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
36.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
35.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
35.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
34.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
33.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
33.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
32.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
31.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
31.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
31.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
31.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
31.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
30.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
30.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
29.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
29.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
29.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
29.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
28.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
28.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
28.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
28.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
28.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
28.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
27.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
27.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
27.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
27.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
27.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
26.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
26.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
26.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
26.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
26.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
26.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
26.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
26.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
25.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
25.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
25.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
25.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
25.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
25.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
24.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
24.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
24.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
24.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
24.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
24.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
24.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
23.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
23.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
23.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
23.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
23.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
23.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
23.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
23.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
23.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
22.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
22.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
22.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
22.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
22.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
22.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
21.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
21.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
21.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
21.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
21.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
20.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
20.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
20.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
20.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
20.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
20.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
20.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
20.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
20.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
19.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
19.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
19.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
19.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
19.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
19.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
18.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
18.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
18.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
18.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
18.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
18.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
18.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
18.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
18.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
17.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
17.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
17.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
17.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
17.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
16.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
16.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
16.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
16.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
16.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
15.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
15.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
15.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
15.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
15.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
15.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
15.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
15.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
14.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
14.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
14.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
14.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
14.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
14.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
13.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
13.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
13.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
13.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
13.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
13.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
13.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
13.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
13.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
13.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
13.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
13.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
13.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
13.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
12.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
12.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
12.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
11.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
11.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
11.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
11.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
11.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
11.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
11.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
11.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
11.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
11.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
11.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
10.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
10.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
10.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
10.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
10.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
10.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
10.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
10.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
10.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
9.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
9.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
9.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
9.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
9.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
9.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
9.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
9.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
8.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
8.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
8.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
8.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
8.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
8.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
8.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
8.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
8.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
8.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
7.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
7.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
7.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
7.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
7.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
7.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
7.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
7.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
6.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
6.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
6.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
6.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
5.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
5.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
5.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
5.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
5.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
5.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
5.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
5.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
5.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
4.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
4.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
4.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
4.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
4.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
3.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
2.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 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.
SNTB1 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
31.4
Number of samples
486
Samples
Sample
Description
TPM
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
236.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
228.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
139.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
136.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
129.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
126.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
118.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
108.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
103.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
100.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
100.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
92.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
91.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
90.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
89.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
86.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
83.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
82.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
82.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
78.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
75.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
73.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
72.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
71.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
70.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
68.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
68.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
67.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
66.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
66.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
66.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
66.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
65.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
63.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
63.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
62.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
62.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
60.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
60.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
60.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
60.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
60.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
60.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
60.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
59.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
59.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
57.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
56.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
56.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
55.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
55.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
55.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
55.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
54.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
54.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
54.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
53.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
52.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
52.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
52.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
51.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
51.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
50.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
50.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
49.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
49.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
48.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
48.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
48.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
48.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
48.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
48.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
47.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
47.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
46.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
46.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
46.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
46.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
46.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
45.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
45.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
45.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
45.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
45.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
45.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
45.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
44.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
44.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
44.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
44.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
44.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
44.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
43.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
43.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
43.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
43.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
43.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
43.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
43.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
42.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
42.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
42.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
42.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
41.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
41.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
41.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
41.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
40.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
40.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
40.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
40.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
39.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
39.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
39.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
39.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
39.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
38.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
38.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
38.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
37.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
37.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
37.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
37.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
37.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
36.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
36.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
36.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
36.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
36.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
36.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
36.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
36.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
36.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
36.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
35.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
35.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
35.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
34.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
34.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
34.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
34.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
34.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
34.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
34.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
34.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
33.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
33.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
33.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
33.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
33.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
33.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
33.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
33.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
33.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
33.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
33.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
32.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
32.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
32.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
32.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
32.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
32.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
32.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
32.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
32.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
32.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
32.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
32.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
32.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
32.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
31.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
31.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
31.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
31.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
31.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
31.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
31.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
31.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
31.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
31.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
31.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
31.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
30.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
30.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
30.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
30.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
30.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
30.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
30.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
30.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
30.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
30.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
30.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
30.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
30.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
29.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
29.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
29.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
29.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
29.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
29.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
29.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
29.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
29.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
29.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
29.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
28.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
28.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
28.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
28.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
28.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
28.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
28.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
28.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
28.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
28.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
28.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
27.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
27.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
27.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
27.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
27.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
27.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
27.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
27.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
27.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
26.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
26.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
26.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
26.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
26.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
26.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
26.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
26.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
26.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
26.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
26.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
26.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
26.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
26.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
26.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
26.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
26.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
25.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
25.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
25.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
25.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
25.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
25.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
25.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
25.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
25.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
24.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
24.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
24.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
24.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
24.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
24.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
24.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
24.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
24.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
24.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
24.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
23.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
23.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
23.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
23.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
23.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
23.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
23.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
23.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
23.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
23.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
23.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
23.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
23.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
23.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
23.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
23.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
23.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
23.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
23.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
22.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
22.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
22.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
22.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
22.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
22.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
22.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
22.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
22.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
22.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
22.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
22.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
22.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
21.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
21.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
21.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
21.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
21.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
21.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
21.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
21.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
20.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
20.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
20.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
20.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
20.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
20.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
20.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
20.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
20.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
20.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
20.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
20.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
20.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
19.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
19.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
19.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
19.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
19.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
19.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
19.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
19.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
19.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
19.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
19.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
19.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
19.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
19.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
19.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
18.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
18.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
18.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
18.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
18.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
18.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
18.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
18.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
18.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
18.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
18.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
18.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
18.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
18.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
18.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
18.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
18.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
18.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
17.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
17.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
17.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
17.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
17.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
17.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
17.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
17.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
17.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
16.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
16.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
16.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
16.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
16.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
16.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
16.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
16.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
16.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
16.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
16.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
16.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
16.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
16.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
16.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
16.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
15.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
15.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
15.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
15.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
15.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
15.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
15.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
15.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
15.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
15.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
15.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
14.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
14.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
14.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
14.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
14.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
14.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
14.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
14.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
14.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
14.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
14.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
14.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
14.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
14.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
14.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
14.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
13.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
13.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
13.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
13.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
13.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
13.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
13.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
13.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
13.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
13.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
13.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
13.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
13.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
13.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
13.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
12.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
12.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
12.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
12.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
12.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
12.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
12.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
12.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
12.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
12.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
12.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
12.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
12.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
12.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
11.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
11.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
11.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
11.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
11.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
11.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
11.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
11.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
11.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
11.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
11.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
10.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
10.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
10.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
10.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
10.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
10.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
10.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
10.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
10.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
10.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
10.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
10.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
9.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
9.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
9.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
9.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
9.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
9.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
9.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
8.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
8.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
8.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
8.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
8.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
7.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
7.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
7.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
7.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
7.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
5.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
5.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
5.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
5.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
5.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
4.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
4.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
4.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
4.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
3.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
2.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
2.7
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.
SNTB1 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
29.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
142.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
120.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
107.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
99.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
87.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
85.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
70.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
66.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
61.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
55.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
54.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
49.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
45.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
42.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
38.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
37.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
36.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
35.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
34.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
33.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
33.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
31.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
31.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
31.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
30.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
30.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
30.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
30.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
29.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
29.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
28.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
28.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
27.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
27.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
26.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
26.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
24.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
24.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
24.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
23.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
23.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
23.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
22.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
21.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
21.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
21.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
20.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
20.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
19.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
19.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
18.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
18.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
18.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
17.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
17.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
17.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
17.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
17.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
17.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
17.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
16.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
16.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
16.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
15.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
15.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
15.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
15.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
15.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
14.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
14.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
14.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
14.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
13.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
13.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
13.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
12.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
12.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
11.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
10.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
10.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
10.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
9.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
9.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
7.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
7.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
5.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
5.0
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.
SNTB1 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
29.8
Number of samples
207
Samples
Sample
Description
TPM
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
125.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
94.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
87.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
83.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
79.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
78.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
77.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
74.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
74.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
71.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
65.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
62.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
59.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
53.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
53.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
52.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
51.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
51.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
51.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
51.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
50.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
50.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
50.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
50.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
48.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
48.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
48.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
48.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
48.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
47.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
47.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
47.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
46.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
45.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
45.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
45.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
44.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
44.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
43.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
43.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
43.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
42.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
41.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
41.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
40.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
40.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
39.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
39.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
38.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
38.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
38.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
38.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
37.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
37.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
37.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
37.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
37.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
36.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
36.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
36.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
36.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
36.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
35.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
35.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
35.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
35.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
35.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
34.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
34.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
33.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
33.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
32.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
32.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
32.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
32.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
31.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
31.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
31.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
31.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
31.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
30.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
30.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
30.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
30.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
29.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
29.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
29.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
29.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
28.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
28.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
28.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
28.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
27.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
27.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
27.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
26.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
26.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
26.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
26.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
25.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
25.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
24.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
24.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
24.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
24.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
24.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
24.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
24.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
24.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
24.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
24.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
23.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
23.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
23.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
23.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
23.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
23.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
22.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
22.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
22.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
22.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
22.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
22.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
22.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
22.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
22.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
21.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
21.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
21.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
21.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
21.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
21.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
20.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
20.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
20.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
19.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
19.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
19.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
19.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
19.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
19.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
19.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
18.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
18.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
18.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
18.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
18.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
18.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
18.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
17.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
17.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
17.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
17.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
17.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
16.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
16.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
16.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
16.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
16.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
15.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
15.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
15.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
15.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
15.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
15.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
14.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
14.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
14.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
14.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
13.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
13.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
13.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
13.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
13.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
12.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
12.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
12.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
12.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
12.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
12.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
12.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
12.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
12.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
11.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
11.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
10.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
10.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
10.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
9.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
9.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
9.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
9.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
9.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
8.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
8.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
6.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
6.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
5.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
5.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
4.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
3.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
2.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
1.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.9
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.9
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.8
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.8
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.7
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.7
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
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Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.6
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
