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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.
EIF5B 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
39.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
84.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
81.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
75.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
74.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
70.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
69.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
68.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
68.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
67.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
67.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
66.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
64.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
63.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
63.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
63.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
61.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
61.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
61.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
60.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
60.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
58.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
57.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
57.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
57.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
57.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
56.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
56.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
56.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
55.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
54.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
54.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
54.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
53.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
53.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
53.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
52.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
52.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
52.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
52.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
51.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
51.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
50.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
50.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
49.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
49.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
49.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
49.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
49.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
49.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
49.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
49.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
48.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
48.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
48.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
48.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
48.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
48.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
48.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
48.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
48.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
48.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
48.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
48.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
47.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
47.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
47.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
47.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
47.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
47.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
47.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
47.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
47.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
46.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
46.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
46.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
46.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
46.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
45.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
45.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
45.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
45.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
45.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
45.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
45.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
44.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
44.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
44.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
43.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
43.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
43.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
43.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
43.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
43.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
43.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
43.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
42.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
42.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
41.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
41.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
41.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
41.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
41.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
41.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
41.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
41.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
41.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
41.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
40.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
40.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
40.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
40.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
40.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
40.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
40.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
40.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
40.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
40.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
39.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
39.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
39.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
39.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
39.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
39.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
39.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
39.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
39.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
39.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
38.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
38.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
38.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
38.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
38.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
37.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
37.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
37.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
37.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
37.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
37.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
37.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
37.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
37.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
37.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
37.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
37.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
37.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
37.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
37.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
37.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
37.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
36.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
36.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
36.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
36.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
36.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
36.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
36.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
36.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
36.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
35.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
35.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
35.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
34.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
34.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
34.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
34.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
34.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
34.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
34.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
33.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
33.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
33.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
33.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
33.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
33.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
33.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
33.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
32.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
32.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
32.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
32.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
32.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
32.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
31.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
31.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
31.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
31.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
31.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
31.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
30.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
30.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
30.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
30.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
29.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
29.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
29.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
28.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
28.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
28.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
28.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
28.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
28.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
28.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
27.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
27.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
27.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
27.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
27.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
27.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
26.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
26.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
26.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
26.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
25.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
25.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
25.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
25.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
25.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
25.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
25.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
24.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
24.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
24.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
24.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
24.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
23.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
23.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
23.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
23.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
23.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
22.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
22.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
22.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
21.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
21.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
21.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
21.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
20.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
20.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
20.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
20.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
20.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
19.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
19.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
18.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
17.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
16.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
15.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
15.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
15.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
12.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
12.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
11.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
EIF5B 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
32.0
Number of samples
486
Samples
Sample
Description
TPM
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
83.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
56.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
56.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
54.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
54.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
53.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
53.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
53.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
52.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
52.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
52.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
51.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
51.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
50.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
50.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
49.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
48.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
48.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
48.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
48.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
47.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
46.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
46.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
46.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
46.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
46.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
45.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
45.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
45.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
45.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
44.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
44.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
44.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
44.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
44.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
44.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
44.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
44.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
43.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
43.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
43.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
43.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
42.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
42.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
42.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
42.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
42.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
42.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
42.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
42.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
42.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
42.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
42.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
41.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
41.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
41.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
41.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
41.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
41.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
41.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
40.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
40.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
40.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
40.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
40.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
40.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
39.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
39.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
39.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
39.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
39.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
39.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
39.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
39.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
39.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
39.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
39.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
39.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
39.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
38.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
38.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
38.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
38.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
38.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
38.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
38.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
38.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
37.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
37.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
37.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
37.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
37.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
37.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
37.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
37.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
37.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
37.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
37.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
37.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
37.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
37.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
37.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
37.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
37.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
37.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
37.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
36.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
36.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
36.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
36.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
36.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
36.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
36.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
36.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
36.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
36.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
36.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
36.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
36.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
35.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
35.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
35.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
35.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
35.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
35.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
35.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
35.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
35.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
35.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
35.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
35.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
35.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
35.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
35.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
35.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
35.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
35.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
35.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
34.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
34.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
34.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
34.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
34.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
34.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
34.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
34.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
34.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
34.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
34.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
34.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
34.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
34.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
34.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
34.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
34.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
34.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
34.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
34.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
34.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
34.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
34.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
34.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
34.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
34.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
33.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
33.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
33.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
33.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
33.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
33.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
33.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
33.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
33.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
33.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
33.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
33.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
33.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
33.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
33.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
33.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
33.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
33.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
33.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
33.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
33.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
33.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
33.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
33.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
33.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
33.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
33.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
33.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
33.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
33.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
33.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
33.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
33.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
33.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
33.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
33.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
33.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
32.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
32.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
32.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
32.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
32.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
32.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
32.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
32.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
32.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
32.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
32.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
32.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
32.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
32.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
32.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
32.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
32.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
32.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
32.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
32.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
32.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
32.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
32.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
32.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
32.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
32.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
32.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
32.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
31.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
31.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
31.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
31.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
31.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
31.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
31.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
31.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
31.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
31.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
31.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
31.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
31.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
31.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
31.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
31.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
31.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
31.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
30.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
30.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
30.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
30.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
30.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
30.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
30.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
30.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
30.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
30.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
30.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
30.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
30.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
30.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
30.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
30.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
30.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
30.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
30.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
30.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
30.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
30.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
30.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
30.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
30.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
30.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
30.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
30.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
30.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
30.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
30.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
29.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
29.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
29.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
29.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
29.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
29.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
29.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
29.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
29.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
29.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
29.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
29.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
29.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
29.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
29.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
29.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
29.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
29.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
29.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
29.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
29.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
29.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
29.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
29.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
29.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
29.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
29.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
28.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
28.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
28.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
28.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
28.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
28.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
28.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
28.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
28.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
28.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
28.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
28.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
28.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
28.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
28.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
28.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
28.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
28.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
28.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
28.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
28.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
28.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
28.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
28.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
28.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
28.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
28.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
28.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
28.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
28.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
27.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
27.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
27.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
27.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
27.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
27.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
27.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
27.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
27.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
27.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
27.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
27.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
27.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
27.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
27.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
26.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
26.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
26.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
26.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
26.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
26.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
26.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
26.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
26.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
26.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
26.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
26.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
26.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
26.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
26.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
26.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
26.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
26.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
26.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
26.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
26.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
26.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
26.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
26.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
26.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
26.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
26.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
25.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
25.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
25.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
25.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
25.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
25.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
25.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
25.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
25.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
25.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
25.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
25.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
25.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
25.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
25.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
25.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
25.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
25.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
25.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
25.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
25.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
24.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
24.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
24.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
24.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
24.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
24.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
24.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
24.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
24.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
24.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
24.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
24.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
24.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
24.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
24.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
24.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
24.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
24.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
24.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
23.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
23.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
23.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
23.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
23.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
23.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
23.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
23.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
23.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
23.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
23.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
23.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
22.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
22.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
22.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
22.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
22.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
22.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
22.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
22.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
22.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
22.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
22.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
22.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
22.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
21.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
21.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
21.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
21.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
21.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
21.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
21.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
21.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
21.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
21.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
21.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
21.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
21.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
20.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
20.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
20.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
20.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
20.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
20.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
20.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
19.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
19.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
19.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
19.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
18.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
18.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
18.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
18.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
18.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
18.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
17.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
17.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
17.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
16.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
16.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EIF5B 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
40.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
80.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
65.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
65.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
63.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
61.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
61.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
60.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
59.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
58.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
57.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
55.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
55.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
55.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
55.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
55.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
55.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
54.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
54.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
53.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
53.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
52.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
51.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
51.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
50.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
50.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
48.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
47.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
47.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
46.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
46.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
45.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
44.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
44.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
43.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
43.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
42.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
41.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
41.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
41.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
40.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
40.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
40.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
39.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
39.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
38.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
38.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
38.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
38.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
37.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
37.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
36.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
36.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
36.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
36.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
35.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
34.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
34.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
33.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
32.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
32.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
32.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
32.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
31.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
31.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
31.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
31.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
30.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
30.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
30.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
28.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
28.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
28.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
26.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
26.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
26.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
26.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
25.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
25.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
24.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
24.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
24.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
23.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
23.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
22.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
21.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
19.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 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.
EIF5B 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
32.0
Number of samples
207
Samples
Sample
Description
TPM
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
62.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
50.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
49.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
48.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
48.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
48.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
47.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
47.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
46.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
46.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
45.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
44.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
44.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
44.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
44.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
43.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
43.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
42.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
42.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
41.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
41.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
41.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
41.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
40.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
40.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
40.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
40.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
40.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
39.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
39.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
39.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
39.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
39.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
39.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
38.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
38.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
38.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
38.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
38.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
38.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
38.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
37.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
37.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
37.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
37.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
37.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
37.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
36.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
36.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
36.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
36.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
36.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
36.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
36.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
36.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
35.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
35.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
35.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
35.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
35.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
35.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
35.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
34.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
34.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
34.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
34.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
34.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
34.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
34.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
34.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
34.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
34.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
33.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
33.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
33.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
33.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
33.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
33.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
33.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
33.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
33.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
32.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
32.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
32.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
32.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
32.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
32.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
32.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
32.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
32.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
32.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
32.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
31.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
31.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
31.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
31.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
31.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
31.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
31.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
31.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
31.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
31.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
31.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
31.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
31.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
31.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
31.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
30.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
30.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
30.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
30.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
30.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
30.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
30.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
30.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
30.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
30.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
30.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
30.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
30.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
30.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
29.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
29.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
29.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
29.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
29.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
29.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
29.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
29.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
29.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
29.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
29.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
29.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
29.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
29.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
29.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
28.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
28.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
28.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
28.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
28.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
28.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
28.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
28.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
28.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
27.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
27.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
27.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
27.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
27.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
27.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
27.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
27.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
26.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
26.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
26.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
26.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
26.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
26.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
26.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
26.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
26.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
26.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
26.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
26.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
25.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
25.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
25.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
25.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
25.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
25.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
25.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
25.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
25.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
24.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
24.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
24.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
24.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
24.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
24.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
24.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
24.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
23.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
23.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
23.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
23.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
23.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
23.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
23.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
23.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
22.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
22.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
22.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
22.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
21.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
20.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
20.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
20.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
20.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
20.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
19.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
17.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
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Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
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Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
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Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
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Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
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Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-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
