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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.
ELAVL1 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
41.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
78.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
71.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
67.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
67.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
65.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
65.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
63.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
63.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
62.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
60.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
59.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
59.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
59.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
59.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
58.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
58.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
58.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
57.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
56.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
56.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
56.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
55.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
55.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
55.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
54.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
54.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
54.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
54.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
53.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
53.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
53.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
53.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
53.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
52.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
52.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
52.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
52.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
51.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
51.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
51.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
51.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
51.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
50.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
49.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
49.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
49.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
49.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
49.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
49.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
48.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
48.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
48.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
48.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
48.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
48.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
47.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
47.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
47.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
47.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
47.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
47.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
47.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
47.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
47.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
47.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
46.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
46.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
46.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
46.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
45.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
45.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
45.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
45.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
45.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
45.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
45.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
45.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
45.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
44.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
44.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
44.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
44.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
44.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
44.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
44.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
44.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
44.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
43.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
43.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
43.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
43.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
43.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
43.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
43.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
43.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
43.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
43.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
43.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
43.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
42.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
42.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
42.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
42.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
42.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
42.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
42.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
42.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
42.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
42.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
41.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
41.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
41.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
41.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
41.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
41.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
41.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
41.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
41.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
41.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
41.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
41.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
40.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
40.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
40.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
40.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
40.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
40.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
40.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
40.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
40.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
40.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
40.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
39.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
39.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
39.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
39.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
39.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
39.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
39.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
39.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
39.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
39.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
39.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
39.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
38.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
38.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
38.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
38.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
38.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
38.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
38.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
38.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
38.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
38.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
37.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
37.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
37.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
37.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
37.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
37.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
37.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
37.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
37.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
36.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
36.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
36.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
36.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
36.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
36.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
36.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
36.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
36.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
36.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
36.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
35.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
35.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
35.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
35.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
35.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
35.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
35.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
35.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
35.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
35.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
35.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
35.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
35.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
35.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
35.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
35.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
34.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
34.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
34.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
34.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
34.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
34.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
34.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
34.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
33.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
33.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
33.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
33.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
33.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
33.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
33.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
33.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
32.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
32.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
32.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
32.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
32.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
32.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
32.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
31.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
31.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
31.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
31.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
31.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
31.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
31.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
30.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
30.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
30.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
30.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
30.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
30.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
30.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
30.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
30.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
30.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
29.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
29.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
29.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
28.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
28.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
27.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
27.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
27.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
26.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
26.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
25.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
25.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
25.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
25.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
25.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
24.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
24.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
24.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
24.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
23.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
22.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
19.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
19.2
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.
ELAVL1 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
59.7
Number of samples
486
Samples
Sample
Description
TPM
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
102.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
98.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
97.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
97.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
96.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
96.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
94.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
91.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
89.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
88.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
88.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
88.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
86.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
86.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
86.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
86.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
84.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
83.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
83.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
82.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
82.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
82.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
82.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
82.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
82.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
81.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
80.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
80.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
80.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
80.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
79.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
79.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
79.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
79.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
79.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
79.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
79.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
78.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
78.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
78.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
78.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
77.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
77.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
77.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
77.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
77.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
77.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
77.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
76.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
76.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
76.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
75.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
75.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
75.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
75.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
75.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
75.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
75.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
75.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
75.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
75.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
75.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
74.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
74.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
74.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
74.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
74.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
74.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
74.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
73.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
73.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
73.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
73.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
73.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
72.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
72.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
72.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
72.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
72.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
72.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
72.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
72.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
71.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
71.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
71.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
71.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
71.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
71.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
71.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
71.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
71.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
71.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
70.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
70.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
70.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
70.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
70.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
70.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
70.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
70.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
70.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
70.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
69.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
69.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
69.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
69.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
69.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
69.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
69.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
69.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
69.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
69.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
69.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
68.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
68.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
68.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
68.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
68.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
68.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
68.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
68.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
68.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
68.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
68.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
68.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
67.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
67.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
67.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
67.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
67.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
67.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
67.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
67.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
67.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
67.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
66.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
66.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
66.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
66.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
66.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
66.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
66.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
66.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
66.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
66.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
66.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
66.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
65.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
65.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
65.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
65.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
65.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
65.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
65.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
65.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
65.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
65.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
65.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
65.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
65.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
65.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
65.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
65.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
64.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
64.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
64.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
64.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
64.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
64.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
64.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
64.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
64.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
64.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
64.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
64.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
64.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
64.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
64.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
63.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
63.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
63.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
63.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
63.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
63.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
63.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
63.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
63.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
62.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
62.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
62.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
62.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
62.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
62.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
62.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
62.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
62.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
62.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
62.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
62.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
62.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
62.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
62.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
62.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
61.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
61.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
61.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
61.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
61.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
61.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
61.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
61.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
61.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
61.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
61.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
61.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
61.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
60.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
60.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
60.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
60.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
60.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
60.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
60.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
60.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
60.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
60.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
60.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
60.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
60.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
60.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
59.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
59.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
59.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
59.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
59.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
59.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
59.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
59.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
59.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
59.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
59.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
59.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
59.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
59.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
59.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
59.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
59.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
59.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
59.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
59.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
58.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
58.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
58.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
58.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
58.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
58.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
58.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
58.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
58.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
58.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
58.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
58.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
58.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
58.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
58.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
57.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
57.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
57.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
57.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
57.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
57.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
57.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
57.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
57.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
57.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
57.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
57.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
56.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
56.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
56.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
56.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
56.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
56.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
56.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
56.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
56.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
56.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
56.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
56.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
56.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
55.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
55.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
55.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
55.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
55.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
55.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
55.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
55.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
55.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
54.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
54.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
54.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
54.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
54.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
54.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
54.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
54.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
54.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
54.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
54.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
53.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
53.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
53.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
53.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
53.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
53.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
53.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
53.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
53.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
53.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
53.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
53.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
53.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
53.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
53.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
53.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
53.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
53.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
53.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
53.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
52.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
52.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
52.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
52.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
52.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
52.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
52.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
52.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
52.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
52.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
52.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
52.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
51.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
51.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
51.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
51.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
51.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
51.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
51.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
51.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
51.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
51.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
51.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
51.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
51.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
51.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
51.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
51.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
51.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
50.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
50.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
50.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
50.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
50.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
50.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
50.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
50.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
50.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
50.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
50.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
50.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
50.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
50.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
50.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
49.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
49.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
49.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
49.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
49.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
49.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
49.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
49.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
49.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
49.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
49.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
49.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
49.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
48.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
48.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
48.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
48.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
48.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
48.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
48.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
48.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
48.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
48.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
47.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
47.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
47.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
47.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
47.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
47.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
47.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
47.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
47.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
47.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
47.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
46.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
46.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
46.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
46.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
46.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
46.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
45.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
45.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
45.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
45.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
45.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
45.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
44.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
44.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
44.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
44.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
44.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
44.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
44.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
44.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
43.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
43.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
43.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
43.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
42.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
42.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
42.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
42.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
42.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
42.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
41.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
41.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
41.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
41.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
41.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
41.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
41.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
41.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
41.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
41.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
41.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
40.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
39.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
39.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
39.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
39.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
39.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
38.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
38.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
38.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
38.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
37.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
37.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
37.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
36.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
36.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
36.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
36.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
36.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
35.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
35.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
34.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
33.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
32.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
32.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.2
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.
ELAVL1 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
39.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
67.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
65.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
61.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
59.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
56.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
56.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
54.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
54.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
54.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
54.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
52.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
51.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
51.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
51.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
50.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
50.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
50.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
50.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
50.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
49.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
48.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
48.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
48.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
47.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
47.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
46.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
46.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
46.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
46.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
45.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
45.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
45.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
45.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
44.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
44.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
43.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
43.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
43.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
42.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
41.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
41.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
40.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
40.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
39.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
39.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
38.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
38.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
38.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
38.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
38.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
38.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
38.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
36.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
36.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
36.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
35.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
34.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
34.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
34.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
34.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
33.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
33.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
33.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
32.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
31.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
31.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
31.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
31.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
31.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
31.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
31.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
30.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
30.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
30.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
29.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
29.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
28.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
28.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
25.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
23.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
23.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
23.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
21.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
18.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
13.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
10.1
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.
ELAVL1 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
54.0
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
93.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
87.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
85.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
83.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
83.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
82.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
79.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
79.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
77.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
76.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
76.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
72.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
72.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
72.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
72.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
72.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
72.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
70.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
70.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
70.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
70.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
69.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
69.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
69.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
69.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
68.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
68.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
68.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
67.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
67.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
66.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
66.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
66.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
66.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
66.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
66.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
66.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
65.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
65.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
64.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
63.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
62.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
62.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
62.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
62.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
62.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
61.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
61.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
61.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
61.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
61.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
60.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
60.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
60.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
59.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
59.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
59.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
59.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
59.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
59.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
59.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
58.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
58.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
58.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
58.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
57.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
57.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
57.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
56.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
56.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
56.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
56.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
56.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
56.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
55.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
55.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
55.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
55.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
55.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
55.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
55.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
55.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
55.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
55.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
55.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
54.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
54.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
54.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
54.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
54.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
54.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
54.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
54.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
54.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
53.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
53.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
53.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
53.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
53.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
53.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
53.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
53.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
53.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
53.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
53.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
52.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
52.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
52.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
52.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
52.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
52.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
52.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
51.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
51.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
51.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
51.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
51.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
51.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
51.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
51.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
51.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
51.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
50.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
50.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
50.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
50.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
50.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
50.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
50.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
50.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
50.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
50.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
50.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
49.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
49.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
49.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
48.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
48.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
48.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
48.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
47.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
47.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
47.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
47.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
47.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
47.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
47.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
46.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
46.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
46.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
46.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
46.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
46.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
45.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
45.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
45.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
45.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
45.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
45.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
45.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
45.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
45.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
45.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
44.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
44.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
44.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
44.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
44.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
44.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
44.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
43.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
43.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
43.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
42.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
42.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
42.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
42.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
42.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
41.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
41.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
41.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
41.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
40.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
40.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
40.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
39.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
39.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
39.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
38.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
37.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
37.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
35.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
35.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
35.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
35.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
34.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
33.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
33.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
31.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
30.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-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
