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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.
RAVER1 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
33.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
72.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
70.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
69.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
68.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
68.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
61.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
59.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
59.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
59.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
57.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
57.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
56.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
56.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
55.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
55.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
55.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
53.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
53.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
53.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
53.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
53.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
52.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
52.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
52.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
51.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
51.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
51.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
50.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
50.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
50.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
49.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
49.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
48.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
48.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
48.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
47.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
47.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
47.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
47.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
47.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
47.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
47.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
46.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
46.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
46.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
46.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
45.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
45.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
45.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
45.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
45.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
44.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
43.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
43.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
43.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
42.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
42.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
42.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
42.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
41.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
41.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
41.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
41.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
40.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
40.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
40.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
40.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
40.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
40.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
39.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
39.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
39.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
39.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
39.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
39.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
39.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
39.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
39.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
38.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
38.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
38.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
38.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
38.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
38.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
38.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
37.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
37.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
37.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
37.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
37.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
37.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
37.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
37.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
36.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
36.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
36.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
36.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
36.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
35.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
35.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
35.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
35.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
35.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
35.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
35.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
35.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
35.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
35.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
34.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
34.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
34.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
33.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
33.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
33.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
33.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
33.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
33.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
33.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
33.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
32.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
32.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
32.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
32.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
32.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
32.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
32.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
31.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
31.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
31.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
31.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
31.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
31.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
31.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
31.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
31.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
30.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
30.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
30.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
30.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
30.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
29.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
29.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
29.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
29.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
29.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
29.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
29.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
29.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
28.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
28.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
28.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
28.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
28.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
28.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
28.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
28.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
28.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
28.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
28.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
27.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
27.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
27.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
27.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
27.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
27.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
27.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
27.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
26.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
26.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
26.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
26.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
26.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
25.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
25.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
25.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
25.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
25.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
25.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
25.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
25.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
25.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
24.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
24.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
24.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
24.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
24.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
24.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
24.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
24.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
24.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
24.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
24.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
24.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
24.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
24.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
23.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
23.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
23.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
23.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
22.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
22.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
22.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
22.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
22.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
22.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
22.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
22.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
21.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
21.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
21.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
21.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
21.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
21.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
21.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
20.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
20.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
20.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
20.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
20.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
20.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
19.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
19.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
19.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
19.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
19.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
18.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
18.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
18.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
18.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
17.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
17.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
17.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
17.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
16.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
16.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
16.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
15.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
15.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
15.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
14.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
14.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
14.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
13.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
13.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
13.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
12.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
11.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
11.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
8.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
7.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
2.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
RAVER1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
38.7
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
115.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
79.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
75.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
73.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
69.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
68.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
68.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
68.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
68.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
67.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
66.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
65.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
64.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
63.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
63.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
63.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
62.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
61.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
61.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
61.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
61.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
60.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
60.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
59.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
59.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
59.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
59.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
59.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
59.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
59.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
58.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
57.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
57.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
56.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
56.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
56.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
56.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
56.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
55.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
55.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
54.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
54.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
54.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
53.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
53.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
53.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
53.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
52.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
52.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
52.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
52.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
52.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
52.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
52.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
51.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
51.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
50.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
50.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
50.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
50.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
50.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
50.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
50.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
50.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
50.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
49.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
49.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
49.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
49.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
49.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
49.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
49.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
48.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
48.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
48.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
48.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
48.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
48.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
48.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
48.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
48.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
48.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
48.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
48.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
48.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
47.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
47.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
47.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
47.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
47.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
47.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
47.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
47.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
47.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
47.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
47.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
47.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
47.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
46.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
46.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
46.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
46.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
46.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
46.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
46.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
46.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
46.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
46.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
46.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
46.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
46.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
45.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
45.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
45.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
45.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
45.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
45.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
44.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
44.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
44.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
44.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
44.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
44.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
44.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
44.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
44.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
44.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
44.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
44.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
44.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
44.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
44.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
43.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
43.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
43.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
43.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
43.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
43.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
43.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
43.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
43.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
43.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
43.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
43.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
42.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
42.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
42.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
42.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
42.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
42.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
42.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
42.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
42.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
42.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
42.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
42.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
41.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
41.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
41.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
41.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
41.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
41.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
41.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
41.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
41.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
41.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
41.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
41.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
41.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
41.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
41.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
41.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
40.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
40.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
40.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
40.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
40.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
40.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
40.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
40.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
40.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
40.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
40.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
40.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
40.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
40.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
40.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
40.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
40.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
39.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
39.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
39.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
39.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
39.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
39.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
39.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
39.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
39.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
39.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
39.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
39.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
39.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
39.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
38.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
38.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
38.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
38.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
38.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
38.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
38.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
38.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
38.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
38.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
38.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
38.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
38.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
38.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
38.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
38.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
38.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
38.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
38.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
37.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
37.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
37.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
37.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
37.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
37.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
37.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
37.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
37.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
37.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
37.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
37.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
37.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
37.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
37.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
37.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
37.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
37.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
37.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
36.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
36.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
36.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
36.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
36.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
36.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
36.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
36.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
36.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
36.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
36.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
36.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
36.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
36.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
36.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
36.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
36.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
36.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
36.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
36.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
36.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
35.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
35.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
35.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
35.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
35.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
35.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
35.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
35.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
35.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
35.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
35.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
35.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
35.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
35.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
35.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
35.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
35.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
35.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
35.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
35.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
35.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
35.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
34.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
34.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
34.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
34.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
34.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
34.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
34.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
34.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
34.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
34.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
34.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
34.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
34.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
34.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
34.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
34.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
34.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
33.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
33.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
33.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
33.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
33.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
33.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
33.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
33.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
33.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
33.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
33.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
33.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
33.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
33.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
33.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
32.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
32.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
32.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
32.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
32.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
32.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
32.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
32.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
32.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
32.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
32.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
32.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
32.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
32.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
32.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
32.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
32.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
32.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
32.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
32.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
32.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
32.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
32.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
32.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
32.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
32.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
32.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
32.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
32.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
32.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
31.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
31.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
31.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
31.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
31.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
31.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
31.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
31.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
31.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
31.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
31.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
31.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
31.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
31.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
31.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
30.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
30.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
30.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
30.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
30.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
30.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
30.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
30.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
30.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
30.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
30.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
30.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
30.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
30.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
30.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
30.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
30.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
29.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
29.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
29.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
29.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
29.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
29.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
29.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
29.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
29.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
29.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
29.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
29.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
29.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
29.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
29.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
29.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
29.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
28.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
28.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
28.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
28.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
28.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
28.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
28.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
28.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
28.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
28.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
27.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
27.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
27.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
27.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
27.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
27.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
27.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
27.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
27.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
26.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
26.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
26.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
26.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
26.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
26.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
26.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
26.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
26.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
26.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
25.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
25.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
25.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
25.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
25.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
25.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
25.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
25.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
25.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
25.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
25.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
25.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
25.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
24.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
24.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
24.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
24.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
24.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
24.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
24.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
24.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
24.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
22.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
22.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
22.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
22.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
22.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
22.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
21.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
21.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
21.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
19.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
19.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
19.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
19.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
18.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
18.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
18.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
15.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
15.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
13.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
2.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
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.
RAVER1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
29.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
59.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
58.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
56.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
47.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
47.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
45.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
45.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
43.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
43.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
43.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
42.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
42.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
41.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
41.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
40.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
40.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
38.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
38.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
37.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
36.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
36.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
36.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
36.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
36.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
35.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
35.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
34.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
34.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
34.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
33.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
33.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
33.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
32.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
32.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
31.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
31.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
31.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
31.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
31.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
30.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
30.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
30.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
30.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
30.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
30.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
30.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
29.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
29.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
28.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
28.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
28.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
27.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
26.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
26.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
24.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
24.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
24.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
24.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
23.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
23.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
23.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
23.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
22.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
21.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
21.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
21.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
21.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
20.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
20.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
19.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
19.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
19.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
19.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
19.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
18.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
18.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
18.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
18.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
17.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
17.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
16.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
16.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
13.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
12.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
11.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
9.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.1
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.
RAVER1 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
35.8
Number of samples
207
Samples
Sample
Description
TPM
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
84.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
78.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
71.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
69.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
68.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
67.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
58.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
56.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
56.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
55.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
53.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
53.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
52.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
52.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
51.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
51.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
49.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
48.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
47.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
47.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
47.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
47.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
47.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
46.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
46.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
45.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
45.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
45.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
45.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
44.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
44.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
44.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
44.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
44.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
43.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
43.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
43.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
43.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
42.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
42.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
42.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
42.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
42.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
42.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
41.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
41.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
41.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
41.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
41.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
41.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
40.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
40.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
40.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
40.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
40.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
40.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
39.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
39.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
39.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
39.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
39.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
39.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
38.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
38.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
38.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
38.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
38.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
38.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
37.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
37.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
37.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
37.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
37.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
37.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
37.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
37.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
37.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
37.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
37.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
36.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
36.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
36.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
36.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
36.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
36.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
36.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
36.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
36.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
36.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
35.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
35.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
35.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
35.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
35.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
35.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
35.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
35.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
35.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
35.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
35.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
35.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
35.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
35.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
35.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
35.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
35.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
34.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
34.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
34.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
34.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
34.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
34.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
34.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
34.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
34.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
34.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
33.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
33.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
33.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
33.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
33.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
33.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
32.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
32.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
32.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
32.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
32.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
31.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
31.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
31.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
31.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
31.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
30.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
30.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
30.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
30.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
30.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
30.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
30.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
30.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
30.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
30.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
29.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
29.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
29.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
29.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
29.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
29.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
28.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
28.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
28.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
28.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
28.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
28.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
27.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
27.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
27.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
27.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
27.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
27.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
27.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
27.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
26.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
26.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
26.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
26.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
26.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
26.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
26.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
26.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
26.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
25.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
25.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
25.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
24.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
24.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
24.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
24.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
23.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
23.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
23.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
23.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
22.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
22.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
22.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
22.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
21.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
21.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
21.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
21.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
20.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
20.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
20.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
20.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
19.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
18.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
16.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
