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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.
STX16 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
27.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
104.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
72.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
72.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
71.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
70.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
67.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
64.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
64.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
61.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
58.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
57.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
55.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
53.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
52.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
51.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
51.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
51.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
50.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
50.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
49.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
49.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
48.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
48.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
48.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
47.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
47.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
47.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
47.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
46.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
46.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
45.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
45.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
44.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
44.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
43.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
43.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
42.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
41.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
41.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
40.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
40.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
40.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
40.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
39.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
39.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
39.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
39.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
39.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
39.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
39.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
37.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
37.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
37.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
37.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
37.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
37.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
36.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
35.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
35.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
35.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
34.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
34.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
34.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
34.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
34.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
34.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
34.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
34.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
33.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
33.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
33.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
33.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
33.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
32.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
32.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
32.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
32.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
31.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
31.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
31.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
31.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
31.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
31.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
31.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
31.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
30.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
30.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
30.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
29.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
29.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
29.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
29.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
29.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
28.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
28.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
28.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
28.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
28.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
28.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
28.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
27.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
27.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
27.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
27.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
27.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
27.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
27.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
27.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
27.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
26.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
26.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
26.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
26.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
26.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
26.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
26.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
26.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
26.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
26.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
26.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
25.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
25.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
25.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
25.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
25.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
25.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
25.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
25.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
25.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
25.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
25.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
25.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
25.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
25.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
25.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
24.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
24.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
24.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
24.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
24.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
24.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
24.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
23.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
23.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
23.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
23.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
23.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
23.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
23.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
22.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
22.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
22.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
21.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
21.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
21.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
21.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
21.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
21.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
21.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
21.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
21.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
21.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
21.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
21.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
21.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
20.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
20.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
20.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
19.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
19.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
19.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
19.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
19.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
18.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
18.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
18.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
17.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
17.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
17.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
17.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
17.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
17.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
17.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
17.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
17.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
17.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
16.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
16.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
16.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
16.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
15.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
15.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
15.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
15.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
15.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
15.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
15.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
15.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
15.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
14.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
14.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
14.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
14.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
14.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
14.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
14.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
13.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
13.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
13.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
13.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
13.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
13.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
13.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
13.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
13.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
13.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
13.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
13.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
12.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
12.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
12.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
12.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
12.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
12.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
12.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
12.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
12.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
12.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
12.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
11.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
11.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
11.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
11.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
11.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
11.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
11.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
11.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
10.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
10.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
10.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
10.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
10.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
9.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
9.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
9.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
9.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
9.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
9.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
9.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
9.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
8.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
8.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
7.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 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.
STX16 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
35.9
Number of samples
486
Samples
Sample
Description
TPM
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
105.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
94.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
92.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
92.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
91.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
87.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
81.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
79.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
78.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
77.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
77.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
76.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
73.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
71.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
70.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
67.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
66.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
66.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
66.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
64.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
64.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
64.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
64.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
64.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
64.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
63.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
63.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
62.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
62.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
61.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
61.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
61.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
60.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
60.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
59.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
59.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
59.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
59.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
59.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
59.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
58.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
58.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
57.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
57.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
57.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
57.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
57.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
57.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
57.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
57.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
56.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
56.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
55.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
54.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
54.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
54.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
54.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
54.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
53.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
53.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
53.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
52.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
52.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
52.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
52.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
52.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
52.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
51.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
51.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
51.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
51.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
51.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
51.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
51.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
51.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
51.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
50.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
50.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
50.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
50.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
49.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
49.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
49.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
49.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
48.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
48.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
48.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
47.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
47.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
47.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
47.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
47.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
47.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
47.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
47.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
47.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
46.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
46.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
46.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
46.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
46.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
46.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
45.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
45.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
45.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
45.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
45.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
45.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
45.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
45.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
45.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
44.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
44.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
44.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
44.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
44.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
44.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
44.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
43.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
43.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
43.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
43.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
43.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
43.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
43.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
43.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
42.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
42.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
42.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
42.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
42.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
42.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
42.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
42.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
41.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
41.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
41.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
41.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
41.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
41.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
41.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
41.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
41.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
40.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
40.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
40.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
40.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
40.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
40.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
40.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
40.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
39.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
39.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
39.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
39.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
39.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
39.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
38.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
38.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
38.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
38.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
38.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
38.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
38.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
38.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
37.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
37.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
37.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
37.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
37.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
37.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
37.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
37.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
37.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
37.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
37.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
37.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
37.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
37.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
37.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
36.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
36.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
36.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
36.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
36.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
36.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
36.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
36.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
36.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
36.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
35.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
35.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
35.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
35.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
35.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
35.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
35.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
35.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
35.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
35.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
35.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
35.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
35.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
35.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
35.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
34.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
34.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
34.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
34.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
34.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
34.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
34.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
34.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
34.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
34.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
34.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
34.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
33.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
33.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
33.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
33.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
33.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
33.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
33.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
33.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
33.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
33.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
33.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
33.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
33.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
33.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
33.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
33.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
32.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
32.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
32.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
32.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
32.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
32.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
32.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
32.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
32.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
32.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
32.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
32.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
32.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
32.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
32.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
32.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
32.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
32.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
32.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
32.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
32.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
31.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
31.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
31.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
31.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
31.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
31.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
31.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
31.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
31.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
31.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
31.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
31.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
30.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
30.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
30.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
30.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
30.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
30.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
30.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
30.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
30.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
30.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
30.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
30.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
30.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
29.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
29.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
29.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
29.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
29.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
29.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
29.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
29.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
29.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
29.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
29.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
29.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
29.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
29.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
29.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
29.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
29.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
28.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
28.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
28.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
28.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
28.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
28.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
28.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
28.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
28.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
28.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
27.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
27.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
27.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
27.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
27.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
27.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
27.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
27.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
27.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
27.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
27.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
27.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
27.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
27.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
27.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
27.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
26.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
26.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
26.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
26.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
26.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
26.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
26.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
26.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
26.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
26.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
26.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
26.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
26.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
26.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
26.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
26.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
25.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
25.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
25.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
25.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
25.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
25.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
25.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
25.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
25.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
25.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
25.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
25.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
25.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
25.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
25.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
25.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
25.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
25.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
25.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
25.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
25.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
25.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
25.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
25.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
24.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
24.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
24.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
24.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
24.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
24.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
24.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
24.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
24.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
24.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
24.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
24.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
24.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
24.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
24.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
24.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
24.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
24.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
24.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
24.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
24.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
24.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
24.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
24.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
24.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
24.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
23.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
23.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
23.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
23.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
23.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
23.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
23.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
23.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
23.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
23.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
23.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
23.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
23.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
23.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
23.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
23.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
23.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
23.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
23.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
23.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
23.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
23.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
23.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
22.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
22.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
22.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
22.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
22.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
22.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
22.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
22.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
22.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
22.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
22.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
22.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
22.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
21.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
21.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
21.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
21.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
21.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
21.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
21.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
21.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
21.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
21.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
21.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
21.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
21.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
21.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
21.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
21.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
21.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
21.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
21.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
21.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
21.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
21.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
21.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
20.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
20.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
20.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
20.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
20.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
20.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
20.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
20.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
20.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
20.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
19.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
19.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
19.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
19.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
19.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
18.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
18.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
18.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
18.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
18.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
18.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
18.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
17.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
17.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
17.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
17.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
17.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
17.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
17.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
17.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
16.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
15.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
14.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.8
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.
STX16 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
30.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
69.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
63.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
62.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
61.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
55.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
55.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
50.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
47.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
45.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
45.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
45.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
44.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
44.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
43.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
43.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
43.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
42.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
40.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
40.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
39.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
39.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
39.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
37.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
36.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
36.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
35.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
34.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
33.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
33.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
33.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
32.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
32.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
32.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
32.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
30.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
30.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
30.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
30.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
29.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
28.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
27.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
27.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
26.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
26.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
26.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
26.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
25.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
25.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
25.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
24.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
24.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
24.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
23.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
23.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
23.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
23.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
23.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
23.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
23.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
23.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
22.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
22.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
22.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
22.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
22.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
22.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
21.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
21.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
21.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
20.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
19.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
18.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
18.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
17.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
17.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
17.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
16.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
15.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
15.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
14.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
14.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
14.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
12.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
11.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
11.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
10.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
STX16 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
41.1
Number of samples
207
Samples
Sample
Description
TPM
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
180.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
90.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
78.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
71.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
70.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
68.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
67.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
66.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
66.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
65.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
64.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
64.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
64.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
63.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
62.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
59.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
58.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
58.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
58.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
57.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
57.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
56.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
56.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
56.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
55.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
55.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
55.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
55.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
55.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
54.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
54.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
54.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
53.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
53.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
53.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
53.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
52.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
52.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
52.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
51.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
51.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
51.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
50.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
50.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
50.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
49.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
49.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
49.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
49.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
49.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
48.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
48.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
48.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
48.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
48.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
48.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
47.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
47.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
47.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
46.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
46.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
46.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
45.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
45.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
45.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
44.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
44.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
44.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
44.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
44.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
44.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
44.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
44.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
44.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
43.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
43.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
43.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
43.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
43.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
42.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
42.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
42.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
42.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
42.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
42.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
42.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
41.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
41.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
41.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
41.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
40.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
40.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
40.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
40.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
40.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
40.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
39.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
39.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
39.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
39.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
39.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
39.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
39.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
39.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
38.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
38.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
38.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
38.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
38.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
37.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
37.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
37.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
37.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
36.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
36.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
36.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
36.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
36.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
35.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
35.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
35.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
35.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
35.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
35.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
34.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
34.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
34.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
34.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
34.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
34.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
34.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
33.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
33.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
33.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
33.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
33.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
32.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
32.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
32.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
32.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
32.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
32.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
32.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
32.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
32.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
32.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
32.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
31.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
31.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
31.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
30.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
30.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
30.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
29.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
29.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
29.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
29.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
29.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
29.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
29.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
29.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
28.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
28.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
28.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
28.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
28.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
28.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
27.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
27.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
27.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
27.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
27.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
27.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
27.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
26.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
26.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
26.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
26.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
26.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
26.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
25.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
25.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
25.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
25.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
24.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
24.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
24.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
24.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
24.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
24.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
23.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
23.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
22.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
22.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
22.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
21.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
21.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
18.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
15.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2b810478-7956-4a8b-870d-184859_D2
Tumor
1.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.7
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.9
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-1.0
b2400046-1d25-429d-a821-6040a6
Tumor
-1.2
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
