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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.
MAX 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
37.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
101.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
74.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
70.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
70.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
69.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
65.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
65.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
62.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
60.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
60.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
59.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
59.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
56.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
56.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
56.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
55.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
55.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
55.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
54.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
54.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
54.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
53.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
52.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
52.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
52.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
51.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
51.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
51.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
51.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
51.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
50.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
50.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
50.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
50.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
49.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
49.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
49.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
49.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
49.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
49.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
49.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
48.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
48.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
48.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
47.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
47.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
47.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
46.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
46.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
46.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
46.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
45.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
45.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
45.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
45.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
44.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
44.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
44.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
44.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
44.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
44.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
44.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
43.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
43.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
43.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
43.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
43.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
43.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
43.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
43.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
43.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
43.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
43.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
43.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
42.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
42.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
42.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
42.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
42.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
42.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
42.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
42.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
41.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
41.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
41.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
41.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
41.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
41.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
41.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
41.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
41.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
41.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
41.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
40.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
40.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
40.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
40.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
40.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
40.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
39.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
39.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
39.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
39.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
39.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
39.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
39.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
39.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
39.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
38.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
38.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
38.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
38.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
38.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
38.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
38.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
38.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
38.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
38.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
37.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
37.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
37.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
37.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
37.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
37.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
37.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
37.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
36.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
36.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
36.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
36.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
36.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
36.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
36.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
36.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
36.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
36.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
36.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
35.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
35.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
35.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
35.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
34.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
34.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
34.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
34.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
34.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
34.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
34.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
34.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
34.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
33.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
33.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
33.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
33.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
33.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
33.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
33.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
33.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
33.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
33.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
33.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
33.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
32.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
32.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
32.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
32.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
32.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
32.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
31.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
31.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
31.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
31.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
31.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
31.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
31.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
30.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
30.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
30.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
30.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
30.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
30.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
30.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
30.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
30.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
29.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
29.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
29.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
29.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
29.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
29.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
28.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
28.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
28.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
28.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
28.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
28.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
28.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
28.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
28.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
28.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
28.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
27.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
27.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
27.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
27.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
27.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
27.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
27.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
27.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
26.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
26.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
26.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
26.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
26.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
25.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
25.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
25.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
25.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
25.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
25.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
25.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
25.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
25.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
24.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
24.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
24.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
24.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
24.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
24.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
24.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
24.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
24.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
24.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
23.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
23.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
23.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
23.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
23.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
23.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
22.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
22.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
22.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
22.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
21.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
21.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
20.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
19.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
19.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
19.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
18.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
18.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
17.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
16.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 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.
MAX is potential prognostic, high expression is unfavorable 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
93.4
Number of samples
486
Samples
Sample
Description
TPM
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
274.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
235.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
231.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
214.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
213.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
212.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
203.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
201.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
197.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
192.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
182.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
181.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
169.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
169.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
167.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
167.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
164.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
161.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
156.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
154.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
152.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
150.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
147.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
145.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
144.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
144.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
144.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
144.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
143.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
141.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
141.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
141.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
140.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
139.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
137.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
134.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
133.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
133.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
132.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
131.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
131.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
130.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
130.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
129.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
128.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
128.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
128.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
128.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
128.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
127.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
126.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
126.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
125.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
125.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
125.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
124.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
123.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
123.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
122.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
121.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
121.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
121.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
121.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
121.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
120.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
120.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
120.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
120.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
119.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
119.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
119.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
118.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
118.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
118.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
118.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
117.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
117.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
117.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
116.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
115.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
115.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
115.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
114.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
114.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
114.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
114.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
114.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
113.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
113.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
113.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
112.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
112.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
112.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
112.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
112.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
112.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
111.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
111.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
111.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
111.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
110.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
110.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
110.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
110.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
109.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
109.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
109.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
109.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
109.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
109.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
109.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
109.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
108.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
108.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
108.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
108.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
107.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
107.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
106.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
106.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
106.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
106.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
105.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
105.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
104.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
104.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
103.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
103.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
103.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
103.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
103.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
103.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
103.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
103.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
103.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
102.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
102.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
102.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
102.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
101.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
101.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
101.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
101.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
100.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
100.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
100.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
99.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
99.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
99.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
99.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
99.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
99.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
98.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
98.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
98.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
98.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
98.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
98.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
97.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
97.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
97.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
97.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
97.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
97.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
97.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
97.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
96.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
96.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
96.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
96.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
96.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
96.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
96.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
96.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
95.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
95.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
95.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
95.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
95.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
95.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
95.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
94.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
94.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
94.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
94.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
94.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
94.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
94.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
94.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
94.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
94.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
94.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
93.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
93.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
93.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
93.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
93.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
93.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
93.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
92.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
92.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
92.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
92.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
92.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
92.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
92.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
91.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
91.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
91.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
91.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
91.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
91.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
91.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
90.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
90.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
90.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
90.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
90.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
90.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
90.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
90.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
90.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
89.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
89.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
89.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
89.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
89.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
89.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
89.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
89.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
89.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
88.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
88.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
88.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
88.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
88.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
88.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
88.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
88.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
88.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
88.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
88.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
88.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
87.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
87.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
87.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
87.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
87.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
87.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
87.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
87.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
87.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
87.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
86.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
86.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
86.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
86.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
86.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
86.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
86.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
86.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
86.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
85.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
85.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
85.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
85.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
85.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
85.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
85.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
84.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
84.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
84.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
84.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
84.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
84.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
84.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
84.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
84.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
84.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
84.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
84.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
84.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
84.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
84.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
84.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
84.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
83.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
83.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
83.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
83.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
83.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
83.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
83.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
82.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
82.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
82.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
82.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
82.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
82.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
82.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
82.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
82.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
82.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
82.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
82.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
82.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
82.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
82.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
81.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
81.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
81.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
81.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
81.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
81.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
81.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
80.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
80.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
80.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
80.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
80.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
80.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
80.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
80.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
79.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
79.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
79.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
79.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
79.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
79.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
79.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
79.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
79.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
79.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
78.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
78.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
78.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
78.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
78.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
78.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
78.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
78.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
78.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
77.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
77.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
77.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
77.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
77.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
77.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
76.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
76.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
76.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
76.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
76.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
76.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
76.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
75.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
75.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
75.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
75.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
75.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
75.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
75.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
75.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
75.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
75.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
74.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
74.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
74.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
74.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
74.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
74.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
74.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
74.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
73.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
73.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
73.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
73.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
73.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
73.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
73.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
72.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
72.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
72.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
72.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
72.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
71.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
71.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
71.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
71.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
71.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
71.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
71.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
70.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
70.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
70.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
70.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
70.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
69.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
69.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
69.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
69.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
69.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
69.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
69.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
69.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
68.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
68.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
68.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
68.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
67.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
67.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
67.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
67.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
67.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
67.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
67.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
66.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
66.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
66.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
66.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
66.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
65.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
65.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
65.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
65.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
65.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
65.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
65.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
65.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
64.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
64.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
64.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
64.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
63.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
63.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
63.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
63.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
63.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
63.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
62.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
62.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
62.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
62.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
62.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
62.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
62.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
61.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
61.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
60.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
59.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
59.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
58.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
58.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
58.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
58.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
58.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
58.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
58.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
57.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
57.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
57.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
57.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
57.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
57.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
56.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
55.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
54.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
53.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
53.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
52.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
51.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
51.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
50.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
50.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
50.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
50.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
49.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
49.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
49.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
49.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
49.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
48.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
42.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
38.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.9
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.
MAX 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
36.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
72.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
56.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
54.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
53.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
52.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
50.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
50.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
49.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
49.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
49.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
48.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
48.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
48.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
47.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
46.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
46.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
45.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
45.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
45.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
45.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
44.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
44.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
44.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
44.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
44.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
44.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
43.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
42.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
41.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
41.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
40.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
40.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
40.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
39.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
39.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
38.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
38.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
38.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
38.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
38.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
37.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
37.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
35.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
35.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
34.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
34.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
34.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
34.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
33.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
33.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
33.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
33.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
32.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
32.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
31.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
31.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
31.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
31.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
31.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
30.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
30.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
30.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
29.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
29.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
29.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
29.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
28.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
27.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
27.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
27.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
27.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
26.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
26.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
25.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
25.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
25.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
24.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
23.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
23.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
23.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
22.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
22.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
22.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
21.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
20.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
19.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
17.3
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.
MAX 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
80.8
Number of samples
207
Samples
Sample
Description
TPM
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
140.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
140.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
131.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
127.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
127.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
124.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
121.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
121.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
120.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
119.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
119.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
118.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
117.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
116.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
115.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
113.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
112.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
110.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
110.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
109.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
109.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
108.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
107.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
107.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
107.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
106.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
105.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
104.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
104.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
103.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
103.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
103.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
102.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
101.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
101.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
101.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
100.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
100.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
100.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
100.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
99.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
99.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
99.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
97.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
96.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
96.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
96.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
96.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
96.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
96.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
95.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
95.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
95.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
95.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
94.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
94.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
92.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
92.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
90.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
90.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
89.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
89.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
89.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
88.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
88.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
88.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
87.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
87.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
87.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
87.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
87.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
86.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
86.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
86.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
86.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
85.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
85.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
84.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
84.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
84.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
84.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
83.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
83.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
83.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
83.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
83.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
83.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
83.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
82.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
82.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
82.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
81.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
81.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
81.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
81.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
80.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
80.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
80.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
80.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
79.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
78.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
78.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
77.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
77.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
77.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
77.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
77.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
77.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
77.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
76.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
76.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
75.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
75.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
75.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
74.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
74.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
74.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
74.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
73.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
73.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
73.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
73.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
73.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
73.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
73.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
73.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
72.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
72.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
72.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
71.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
71.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
71.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
71.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
70.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
70.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
70.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
70.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
70.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
69.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
69.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
69.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
68.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
68.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
68.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
68.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
68.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
67.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
67.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
67.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
66.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
66.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
66.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
66.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
66.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
66.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
66.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
65.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
65.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
65.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
65.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
64.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
64.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
64.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
64.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
63.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
63.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
63.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
62.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
62.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
62.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
61.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
61.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
61.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
61.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
61.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
61.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
60.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
59.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
59.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
58.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
58.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
58.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
57.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
57.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
57.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
57.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
57.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
57.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
56.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
56.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
56.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
54.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
53.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
53.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
53.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
53.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
53.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
53.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
52.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
51.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
50.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
49.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
48.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
45.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
41.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
28.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.9
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.8
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.9
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-1.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.1
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
