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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.
ESPN 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
31.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
189.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
116.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
106.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
103.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
101.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
96.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
95.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
91.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
90.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
88.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
84.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
84.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
79.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
79.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
79.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
78.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
77.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
75.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
74.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
73.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
72.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
72.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
71.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
70.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
67.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
67.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
64.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
62.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
62.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
61.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
61.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
60.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
58.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
58.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
58.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
57.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
57.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
57.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
57.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
56.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
56.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
56.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
55.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
55.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
54.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
54.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
54.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
53.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
53.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
50.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
49.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
49.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
49.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
48.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
47.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
47.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
46.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
45.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
45.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
44.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
44.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
44.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
44.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
43.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
43.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
43.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
43.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
42.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
41.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
41.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
41.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
40.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
40.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
40.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
40.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
39.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
39.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
38.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
38.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
38.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
37.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
37.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
37.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
37.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
36.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
36.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
36.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
36.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
35.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
35.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
35.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
34.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
34.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
34.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
34.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
33.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
33.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
33.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
32.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
32.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
32.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
31.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
31.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
30.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
30.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
30.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
30.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
29.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
29.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
28.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
28.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
28.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
28.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
28.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
27.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
27.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
27.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
27.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
27.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
27.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
26.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
26.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
26.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
25.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
25.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
25.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
25.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
25.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
25.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
24.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
24.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
23.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
23.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
23.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
23.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
23.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
23.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
22.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
22.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
22.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
22.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
22.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
21.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
21.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
21.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
21.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
21.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
20.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
20.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
20.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
19.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
19.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
18.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
18.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
18.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
18.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
18.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
18.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
18.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
18.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
17.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
17.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
17.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
17.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
17.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
17.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
17.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
17.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
16.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
16.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
16.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
16.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
16.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
16.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
15.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
15.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
15.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
15.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
15.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
15.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
15.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
15.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
14.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
14.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
14.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
14.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
14.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
14.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
13.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
13.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
13.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
13.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
13.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
12.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
12.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
12.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
11.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
11.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
11.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
11.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
11.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
10.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
10.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
10.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
10.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
10.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
9.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
9.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
9.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
9.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
9.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
9.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
9.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
8.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
8.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
7.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
7.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
7.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
7.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
7.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
7.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
7.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
6.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
6.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
6.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
6.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
6.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
6.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
6.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
5.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
5.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
5.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
5.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
5.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
4.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
4.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
4.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
4.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
4.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
3.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
3.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
2.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
2.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
1.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
1.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
0.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 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.
ESPN is potential prognostic, high expression is favorable 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
24.0
Number of samples
486
Samples
Sample
Description
TPM
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
123.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
96.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
91.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
90.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
82.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
78.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
75.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
74.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
74.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
72.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
69.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
64.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
64.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
62.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
61.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
61.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
61.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
59.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
58.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
56.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
55.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
55.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
54.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
54.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
54.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
54.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
53.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
53.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
52.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
52.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
51.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
50.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
50.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
50.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
50.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
49.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
49.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
49.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
49.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
49.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
48.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
48.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
48.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
48.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
48.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
47.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
47.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
47.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
46.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
46.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
46.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
46.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
45.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
44.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
44.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
43.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
43.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
43.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
43.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
43.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
43.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
42.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
41.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
41.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
41.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
41.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
41.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
40.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
40.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
39.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
39.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
38.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
38.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
38.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
38.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
38.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
37.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
37.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
37.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
37.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
37.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
37.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
36.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
36.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
36.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
36.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
36.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
35.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
35.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
35.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
35.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
35.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
35.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
35.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
35.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
35.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
35.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
35.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
34.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
34.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
34.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
34.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
33.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
33.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
33.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
33.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
33.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
33.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
33.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
33.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
33.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
33.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
33.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
32.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
32.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
32.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
32.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
32.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
32.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
32.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
31.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
31.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
31.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
31.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
31.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
31.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
31.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
30.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
30.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
30.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
30.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
30.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
30.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
30.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
30.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
30.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
29.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
29.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
29.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
29.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
29.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
29.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
29.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
29.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
29.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
29.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
29.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
29.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
29.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
29.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
28.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
28.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
28.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
28.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
28.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
28.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
28.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
28.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
27.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
27.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
27.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
27.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
27.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
27.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
27.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
27.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
26.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
26.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
26.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
26.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
26.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
26.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
26.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
25.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
25.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
25.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
25.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
25.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
25.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
25.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
25.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
25.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
25.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
25.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
25.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
24.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
24.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
24.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
24.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
24.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
24.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
24.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
24.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
24.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
24.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
24.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
23.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
23.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
23.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
23.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
23.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
23.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
23.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
23.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
23.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
23.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
23.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
23.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
23.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
22.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
22.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
22.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
22.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
22.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
22.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
22.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
22.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
21.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
21.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
21.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
21.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
21.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
21.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
21.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
21.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
21.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
21.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
21.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
21.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
21.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
21.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
21.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
21.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
21.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
21.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
20.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
20.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
20.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
20.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
20.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
20.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
20.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
20.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
20.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
19.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
19.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
19.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
19.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
19.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
19.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
19.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
19.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
19.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
19.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
19.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
19.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
19.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
19.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
19.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
18.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
18.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
18.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
18.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
18.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
18.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
18.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
18.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
18.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
18.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
18.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
18.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
18.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
18.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
18.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
18.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
18.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
17.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
17.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
17.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
17.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
17.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
17.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
17.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
17.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
17.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
17.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
17.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
17.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
17.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
17.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
17.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
17.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
17.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
17.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
16.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
16.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
16.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
16.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
16.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
16.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
16.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
16.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
16.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
16.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
16.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
16.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
16.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
16.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
16.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
16.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
15.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
15.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
15.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
15.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
15.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
15.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
15.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
15.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
14.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
14.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
14.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
14.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
14.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
14.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
14.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
14.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
14.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
14.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
13.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
13.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
13.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
13.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
13.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
13.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
13.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
13.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
13.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
13.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
13.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
13.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
12.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
12.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
12.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
12.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
12.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
12.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
12.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
12.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
12.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
12.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
12.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
12.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
12.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
12.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
12.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
12.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
12.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
12.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
12.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
12.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
12.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
12.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
12.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
12.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
12.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
12.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
11.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
11.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
11.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
11.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
11.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
11.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
11.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
11.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
11.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
11.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
10.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
10.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
10.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
10.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
10.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
10.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
10.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
10.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
10.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
9.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
9.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
9.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
9.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
9.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
9.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
9.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
9.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
9.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
9.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
9.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
9.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
9.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
9.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
9.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
9.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
8.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
8.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
8.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
8.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
8.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
8.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
8.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
8.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
8.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
8.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
8.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
8.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
8.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
8.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
8.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
8.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
8.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
8.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
8.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
7.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
7.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
7.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
7.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
7.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
7.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
7.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
7.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
7.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
7.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
7.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
6.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
6.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
6.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
6.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
6.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
6.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
6.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
6.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
5.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
5.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
5.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
5.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
5.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
5.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
5.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
5.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
5.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
5.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
4.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
4.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
4.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
4.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
4.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
4.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
4.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
4.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
4.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
3.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
3.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
3.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
3.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
3.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
3.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
3.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
3.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
3.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
3.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
3.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
2.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
2.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
2.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
2.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
2.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
2.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
2.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1.9
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.
ESPN 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
34.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
86.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
83.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
82.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
81.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
76.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
74.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
72.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
72.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
65.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
65.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
60.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
58.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
57.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
57.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
55.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
54.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
52.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
51.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
49.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
48.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
46.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
46.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
44.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
44.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
44.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
43.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
42.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
42.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
41.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
40.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
40.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
40.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
38.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
38.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
37.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
37.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
35.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
34.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
34.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
33.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
32.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
32.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
31.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
31.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
30.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
30.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
28.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
28.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
27.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
27.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
26.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
26.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
26.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
26.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
25.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
24.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
24.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
24.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
24.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
23.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
21.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
21.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
20.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
20.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
19.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
18.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
18.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
18.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
17.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
17.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
17.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
17.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
15.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
15.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
12.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
12.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
11.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
11.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
10.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
9.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
9.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
8.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
6.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
5.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
4.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 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.
ESPN 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
24.6
Number of samples
207
Samples
Sample
Description
TPM
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
102.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
89.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
63.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
56.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
56.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
56.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
54.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
54.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
54.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
52.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
51.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
49.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
47.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
47.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
46.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
45.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
45.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
45.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
43.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
42.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
42.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
42.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
42.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
42.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
41.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
41.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
41.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
41.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
40.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
40.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
39.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
38.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
38.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
38.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
37.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
37.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
36.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
35.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
35.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
34.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
34.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
34.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
34.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
33.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
32.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
32.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
32.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
32.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
32.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
31.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
31.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
31.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
31.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
31.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
31.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
31.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
31.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
30.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
30.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
30.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
30.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
30.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
30.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
29.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
29.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
29.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
28.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
27.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
27.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
27.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
27.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
26.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
26.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
26.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
26.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
26.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
25.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
25.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
25.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
25.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
24.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
24.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
24.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
24.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
23.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
23.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
23.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
23.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
23.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
22.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
22.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
22.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
22.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
22.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
22.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
22.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
21.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
21.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
21.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
21.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
21.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
20.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
20.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
20.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
20.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
20.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
20.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
20.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
19.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
19.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
19.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
19.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
19.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
19.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
19.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
19.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
19.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
19.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
19.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
18.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
18.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
18.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
18.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
18.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
18.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
18.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
18.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
18.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
18.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
18.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
18.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
17.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
17.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
17.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
17.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
17.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
16.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
16.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
16.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
15.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
15.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
15.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
15.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
15.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
15.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
14.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
14.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
14.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
14.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
14.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
14.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
14.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
14.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
14.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
13.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
13.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
13.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
13.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
13.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
12.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
12.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
12.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
11.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
11.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
11.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
11.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
11.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
11.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
11.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
11.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
11.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
10.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
10.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
10.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
10.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
10.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
10.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
10.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
10.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
10.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
9.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
9.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
9.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
9.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
9.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
8.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
7.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
7.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
7.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
6.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
6.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
6.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
6.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
6.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
5.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
5.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
5.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
5.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
4.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
3.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
3.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
1.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
2.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
1.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
1.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
1.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
1.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
1.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
1.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
1.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
1.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
1.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
1.0
963fc8db-f412-4427-a198-23f660_D2
Normal
1.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
1.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.9
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.9
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.9
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.9
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.8
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.8
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.7
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.7
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.8
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.8
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.9
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.9
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.9
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-1.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-1.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-1.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-1.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-1.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-1.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-1.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-1.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-1.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-1.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-1.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-1.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-1.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-1.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-1.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-1.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-1.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-2.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-2.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-2.3
b2400046-1d25-429d-a821-6040a6
Tumor
-2.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-3.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
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
