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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.
EPS8L2 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
44.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
127.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
117.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
116.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
106.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
97.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
96.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
89.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
89.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
84.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
77.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
75.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
72.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
72.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
71.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
69.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
69.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
69.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
68.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
68.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
66.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
65.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
65.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
65.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
65.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
65.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
64.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
64.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
63.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
63.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
63.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
62.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
62.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
62.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
62.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
62.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
62.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
62.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
60.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
60.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
60.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
59.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
59.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
59.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
59.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
58.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
58.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
58.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
57.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
57.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
57.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
56.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
56.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
56.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
55.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
55.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
55.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
55.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
54.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
54.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
54.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
54.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
54.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
54.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
53.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
53.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
53.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
53.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
53.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
53.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
53.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
53.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
53.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
53.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
53.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
52.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
52.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
52.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
52.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
52.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
51.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
51.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
50.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
50.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
50.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
50.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
50.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
50.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
49.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
49.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
49.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
49.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
49.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
49.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
48.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
47.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
47.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
47.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
47.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
47.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
47.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
46.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
46.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
46.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
46.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
46.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
46.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
45.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
45.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
45.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
44.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
44.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
44.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
44.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
44.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
44.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
43.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
43.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
43.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
43.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
43.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
43.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
43.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
43.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
43.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
43.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
43.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
43.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
43.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
43.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
43.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
42.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
42.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
42.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
42.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
41.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
41.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
41.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
41.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
41.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
40.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
40.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
40.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
40.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
40.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
40.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
40.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
39.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
39.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
39.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
39.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
39.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
39.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
38.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
38.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
38.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
38.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
37.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
37.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
37.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
36.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
36.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
36.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
36.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
36.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
36.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
35.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
35.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
35.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
35.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
35.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
35.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
35.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
35.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
35.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
34.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
34.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
34.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
34.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
34.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
34.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
34.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
34.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
33.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
33.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
33.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
32.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
31.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
31.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
31.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
31.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
31.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
30.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
30.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
30.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
30.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
30.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
30.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
30.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
30.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
30.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
29.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
29.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
29.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
29.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
29.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
28.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
28.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
28.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
28.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
28.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
28.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
27.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
27.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
26.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
26.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
26.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
25.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
25.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
25.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
25.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
24.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
24.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
24.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
24.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
24.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
24.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
23.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
23.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
23.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
22.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
22.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
21.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
21.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
21.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
21.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
21.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
20.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
20.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
20.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
19.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
18.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
17.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
16.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
15.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
15.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
15.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
15.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
14.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
13.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
13.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
12.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
11.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
11.3
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.
EPS8L2 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
56.4
Number of samples
486
Samples
Sample
Description
TPM
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
200.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
159.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
129.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
121.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
119.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
116.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
115.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
114.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
106.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
104.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
97.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
96.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
96.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
95.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
93.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
92.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
92.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
92.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
91.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
91.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
90.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
90.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
90.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
90.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
89.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
89.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
88.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
87.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
87.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
87.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
86.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
84.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
84.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
84.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
84.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
84.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
84.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
83.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
83.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
83.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
83.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
82.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
82.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
81.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
81.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
81.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
81.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
81.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
80.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
80.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
79.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
79.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
79.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
79.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
79.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
78.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
78.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
77.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
77.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
77.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
76.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
76.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
75.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
75.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
75.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
75.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
75.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
74.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
74.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
74.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
74.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
74.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
73.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
73.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
73.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
73.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
73.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
72.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
72.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
72.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
72.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
72.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
72.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
72.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
71.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
71.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
71.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
71.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
71.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
71.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
71.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
70.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
70.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
70.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
70.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
69.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
69.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
69.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
69.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
69.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
69.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
69.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
69.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
69.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
68.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
68.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
68.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
68.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
68.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
68.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
67.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
67.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
67.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
67.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
67.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
67.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
67.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
67.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
67.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
66.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
66.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
66.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
66.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
66.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
66.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
66.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
66.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
66.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
66.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
66.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
66.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
65.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
65.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
65.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
65.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
64.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
64.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
64.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
64.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
64.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
64.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
64.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
64.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
64.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
64.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
63.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
63.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
63.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
63.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
63.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
62.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
62.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
62.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
62.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
61.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
61.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
61.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
61.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
61.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
61.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
61.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
61.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
61.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
61.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
61.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
60.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
60.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
60.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
60.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
60.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
60.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
60.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
60.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
60.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
59.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
59.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
59.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
59.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
59.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
59.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
59.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
59.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
59.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
59.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
59.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
59.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
59.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
59.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
59.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
59.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
58.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
58.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
58.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
58.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
58.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
58.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
58.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
58.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
58.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
58.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
58.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
58.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
57.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
57.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
57.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
57.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
57.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
57.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
57.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
57.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
56.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
56.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
56.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
56.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
56.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
56.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
56.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
56.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
56.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
56.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
56.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
56.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
55.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
55.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
55.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
55.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
55.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
55.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
55.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
55.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
55.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
55.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
55.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
55.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
55.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
55.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
55.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
54.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
54.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
54.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
54.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
54.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
54.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
54.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
54.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
54.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
54.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
54.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
54.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
54.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
53.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
53.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
53.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
53.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
53.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
53.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
53.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
53.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
53.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
53.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
52.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
52.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
52.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
52.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
52.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
52.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
52.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
52.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
52.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
52.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
52.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
52.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
52.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
52.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
52.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
52.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
52.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
52.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
51.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
51.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
51.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
51.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
51.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
51.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
51.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
50.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
50.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
50.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
50.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
50.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
50.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
50.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
50.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
50.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
49.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
49.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
49.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
49.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
49.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
49.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
49.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
49.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
49.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
49.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
49.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
49.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
49.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
49.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
48.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
48.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
48.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
48.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
48.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
48.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
48.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
48.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
48.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
47.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
47.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
47.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
47.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
47.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
47.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
47.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
47.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
47.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
47.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
47.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
47.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
47.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
47.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
47.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
46.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
46.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
46.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
46.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
46.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
46.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
46.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
46.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
46.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
45.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
45.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
45.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
45.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
45.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
45.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
44.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
44.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
44.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
44.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
44.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
44.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
44.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
44.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
44.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
44.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
44.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
44.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
43.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
43.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
43.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
43.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
43.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
43.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
43.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
43.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
43.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
43.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
43.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
42.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
42.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
42.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
42.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
42.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
42.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
41.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
41.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
41.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
41.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
41.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
41.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
41.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
40.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
40.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
40.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
40.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
40.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
40.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
40.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
40.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
40.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
40.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
39.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
39.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
39.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
39.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
39.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
39.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
39.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
39.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
39.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
39.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
39.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
38.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
38.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
38.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
38.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
38.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
38.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
38.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
38.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
38.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
38.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
37.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
37.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
37.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
37.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
37.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
37.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
37.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
37.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
37.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
37.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
37.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
37.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
37.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
37.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
36.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
36.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
36.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
36.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
36.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
36.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
36.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
36.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
35.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
34.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
34.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
34.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
33.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
33.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
32.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
32.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
32.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
32.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
32.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
31.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
31.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
31.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
31.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
30.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
30.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
30.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
29.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
29.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
28.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
28.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
28.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
26.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
25.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
24.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
22.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
22.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
21.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
21.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
20.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
20.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
20.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
19.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
19.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
17.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
12.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
12.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
8.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
7.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EPS8L2 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
40.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
84.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
77.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
73.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
72.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
71.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
71.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
61.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
60.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
60.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
58.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
56.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
56.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
56.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
56.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
55.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
54.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
54.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
51.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
51.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
51.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
50.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
50.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
50.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
49.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
48.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
47.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
47.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
46.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
46.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
45.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
45.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
45.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
44.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
44.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
44.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
43.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
42.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
42.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
42.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
41.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
40.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
40.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
40.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
39.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
39.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
39.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
39.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
39.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
38.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
38.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
37.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
37.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
36.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
36.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
36.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
35.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
35.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
35.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
34.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
34.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
33.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
32.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
32.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
31.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
30.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
30.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
30.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
29.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
29.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
28.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
27.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
27.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
27.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
24.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
24.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
24.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
22.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
21.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
21.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
20.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
19.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
19.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
17.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
17.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
15.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
15.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
15.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EPS8L2 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
56.4
Number of samples
207
Samples
Sample
Description
TPM
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
160.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
110.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
99.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
94.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
93.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
93.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
91.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
91.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
89.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
89.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
87.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
86.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
85.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
85.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
84.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
83.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
82.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
81.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
81.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
81.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
80.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
80.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
78.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
77.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
77.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
77.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
76.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
75.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
75.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
75.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
75.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
74.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
74.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
74.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
74.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
73.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
73.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
73.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
73.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
72.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
72.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
71.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
71.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
71.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
71.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
70.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
69.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
69.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
69.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
68.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
68.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
67.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
67.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
67.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
67.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
67.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
65.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
65.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
64.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
64.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
63.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
63.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
63.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
63.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
63.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
62.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
62.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
61.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
61.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
61.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
61.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
61.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
61.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
61.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
60.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
60.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
59.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
59.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
59.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
59.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
59.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
58.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
58.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
58.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
58.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
58.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
58.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
58.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
58.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
57.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
57.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
57.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
57.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
56.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
56.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
55.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
55.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
55.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
55.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
55.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
55.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
55.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
55.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
54.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
53.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
53.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
53.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
52.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
52.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
52.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
52.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
51.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
51.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
51.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
51.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
51.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
51.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
51.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
51.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
50.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
50.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
50.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
50.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
50.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
49.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
49.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
49.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
49.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
49.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
49.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
48.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
48.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
48.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
48.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
48.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
48.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
48.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
47.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
47.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
47.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
46.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
46.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
46.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
46.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
46.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
45.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
45.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
44.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
44.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
44.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
44.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
43.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
43.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
42.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
42.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
42.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
42.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
42.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
42.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
42.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
41.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
41.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
41.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
41.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
41.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
40.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
40.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
39.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
39.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
39.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
39.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
39.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
39.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
38.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
38.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
38.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
38.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
37.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
37.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
37.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
36.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
36.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
36.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
36.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
36.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
35.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
33.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
33.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
33.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
33.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
33.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
33.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
33.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
32.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
32.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
30.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
29.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
28.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
27.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
24.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
23.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
22.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
19.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
17.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.7
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
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Tumor
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
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Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.3
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Normal
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.3
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Normal
0.3
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Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
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Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
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Tumor
-0.1
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Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
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Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
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Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
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Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
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Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
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Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
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Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
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Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Normal
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
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
