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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.
EIF2S1 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
33.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
122.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
89.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
85.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
72.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
67.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
63.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
62.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
62.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
61.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
60.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
59.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
59.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
58.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
57.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
56.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
55.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
54.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
53.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
53.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
52.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
52.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
52.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
51.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
50.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
50.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
49.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
49.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
48.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
48.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
48.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
48.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
48.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
47.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
47.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
47.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
46.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
46.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
45.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
45.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
44.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
44.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
44.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
44.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
44.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
43.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
43.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
43.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
42.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
42.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
42.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
41.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
41.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
41.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
41.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
41.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
41.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
40.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
40.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
40.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
40.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
40.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
39.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
39.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
39.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
39.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
39.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
39.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
38.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
38.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
38.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
38.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
38.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
38.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
38.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
38.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
38.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
38.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
38.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
37.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
37.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
37.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
37.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
37.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
36.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
36.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
36.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
36.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
36.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
35.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
35.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
35.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
35.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
35.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
35.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
35.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
34.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
34.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
34.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
34.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
34.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
34.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
34.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
34.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
34.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
33.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
33.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
33.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
33.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
33.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
33.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
32.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
32.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
32.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
32.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
32.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
32.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
31.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
31.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
31.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
31.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
31.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
31.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
30.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
30.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
29.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
29.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
29.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
29.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
29.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
29.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
29.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
29.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
28.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
28.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
28.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
28.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
28.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
28.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
28.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
28.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
28.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
28.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
27.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
27.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
27.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
27.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
27.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
27.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
27.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
27.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
27.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
27.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
27.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
27.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
27.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
27.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
26.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
26.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
26.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
26.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
26.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
26.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
26.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
26.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
26.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
26.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
26.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
26.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
26.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
25.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
25.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
25.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
25.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
25.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
25.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
25.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
25.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
25.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
24.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
24.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
24.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
24.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
24.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
24.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
24.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
24.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
24.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
23.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
23.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
23.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
23.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
23.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
23.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
23.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
22.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
22.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
22.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
22.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
22.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
22.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
22.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
21.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
21.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
21.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
21.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
21.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
21.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
21.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
21.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
20.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
20.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
20.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
20.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
20.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
19.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
19.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
19.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
19.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
19.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
19.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
19.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
19.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
19.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
19.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
18.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
18.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
18.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
18.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
18.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
18.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
18.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
18.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
17.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
17.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
17.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
17.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
17.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
16.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
16.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
16.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
16.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
16.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
16.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
16.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
15.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
15.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
15.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
15.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
14.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
14.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
13.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
12.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
EIF2S1 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
44.3
Number of samples
486
Samples
Sample
Description
TPM
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
100.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
98.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
83.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
81.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
80.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
79.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
79.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
75.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
75.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
74.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
74.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
74.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
73.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
70.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
69.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
69.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
68.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
67.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
67.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
67.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
67.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
66.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
66.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
66.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
66.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
66.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
66.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
66.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
65.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
65.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
65.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
64.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
64.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
64.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
64.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
63.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
63.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
62.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
62.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
62.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
61.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
61.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
61.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
61.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
61.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
61.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
61.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
60.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
60.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
60.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
59.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
59.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
59.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
59.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
58.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
58.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
58.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
58.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
58.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
58.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
58.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
58.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
58.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
57.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
57.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
57.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
57.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
57.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
57.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
57.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
57.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
57.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
57.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
56.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
56.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
56.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
56.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
56.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
56.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
56.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
56.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
56.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
56.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
55.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
55.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
55.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
55.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
55.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
55.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
55.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
54.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
54.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
54.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
54.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
54.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
54.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
54.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
54.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
54.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
54.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
53.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
53.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
53.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
53.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
53.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
53.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
53.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
53.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
53.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
53.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
52.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
52.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
52.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
52.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
52.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
52.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
51.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
51.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
51.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
51.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
51.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
51.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
51.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
51.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
51.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
51.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
51.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
51.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
50.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
50.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
50.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
50.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
50.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
50.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
50.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
50.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
50.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
50.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
50.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
50.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
50.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
49.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
49.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
49.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
49.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
49.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
49.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
49.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
49.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
49.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
49.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
49.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
49.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
49.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
49.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
49.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
49.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
49.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
49.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
49.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
49.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
48.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
48.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
48.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
48.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
48.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
48.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
48.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
48.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
48.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
48.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
48.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
48.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
47.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
47.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
47.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
47.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
47.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
47.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
47.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
47.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
47.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
47.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
47.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
47.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
47.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
46.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
46.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
46.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
46.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
46.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
46.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
46.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
46.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
46.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
46.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
46.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
46.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
46.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
46.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
46.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
46.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
46.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
46.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
46.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
45.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
45.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
45.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
45.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
45.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
45.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
45.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
45.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
45.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
45.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
45.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
45.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
45.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
44.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
44.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
44.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
44.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
44.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
44.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
44.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
44.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
44.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
44.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
44.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
44.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
43.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
43.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
43.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
43.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
43.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
43.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
43.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
43.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
43.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
43.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
43.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
43.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
43.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
43.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
43.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
43.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
43.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
42.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
42.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
42.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
42.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
42.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
42.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
42.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
42.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
42.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
42.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
42.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
42.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
42.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
42.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
42.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
42.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
41.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
41.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
41.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
41.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
41.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
41.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
41.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
41.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
41.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
41.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
41.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
41.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
41.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
41.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
41.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
41.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
40.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
40.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
40.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
40.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
40.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
40.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
40.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
40.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
40.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
40.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
40.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
40.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
40.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
40.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
40.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
40.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
39.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
39.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
39.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
39.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
39.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
39.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
39.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
39.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
39.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
39.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
39.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
39.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
39.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
38.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
38.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
38.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
38.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
38.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
38.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
38.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
38.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
38.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
38.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
38.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
38.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
38.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
38.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
38.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
38.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
38.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
38.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
38.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
37.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
37.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
37.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
37.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
37.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
37.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
37.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
37.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
37.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
37.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
37.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
36.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
36.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
36.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
36.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
36.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
36.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
36.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
36.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
36.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
36.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
36.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
36.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
36.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
35.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
35.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
35.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
35.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
35.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
35.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
35.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
35.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
35.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
35.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
35.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
35.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
35.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
35.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
35.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
34.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
34.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
34.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
34.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
34.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
34.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
34.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
34.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
34.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
34.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
34.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
34.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
34.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
33.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
33.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
33.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
33.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
33.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
33.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
33.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
33.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
33.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
33.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
33.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
32.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
32.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
32.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
32.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
32.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
32.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
32.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
32.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
32.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
32.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
32.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
31.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
31.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
31.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
31.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
31.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
31.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
31.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
31.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
31.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
30.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
30.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
30.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
30.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
30.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
30.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
30.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
30.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
30.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
30.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
30.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
30.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
30.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
30.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
29.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
29.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
29.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
29.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
28.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
28.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
28.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
28.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
28.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
27.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
27.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
27.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
27.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
27.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
27.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
27.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
27.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
27.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
26.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
26.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
26.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
26.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
26.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
26.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
26.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
26.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
26.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
25.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
25.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
25.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
25.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
24.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
24.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
23.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
23.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
23.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
23.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
23.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
22.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
21.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
21.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
21.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
21.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
20.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
20.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
19.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
18.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
18.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EIF2S1 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
32.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
82.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
78.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
62.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
56.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
56.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
54.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
53.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
53.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
52.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
49.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
48.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
48.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
48.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
47.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
45.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
45.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
45.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
44.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
43.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
41.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
41.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
41.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
41.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
40.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
39.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
38.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
38.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
38.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
38.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
37.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
36.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
36.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
36.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
34.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
33.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
32.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
32.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
32.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
31.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
31.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
31.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
31.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
31.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
30.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
30.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
30.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
30.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
29.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
29.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
29.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
29.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
28.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
28.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
28.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
27.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
27.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
27.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
26.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
25.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
25.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
25.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
25.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
24.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
24.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
24.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
24.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
24.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
23.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
23.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
22.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
22.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
22.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
20.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
19.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
18.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
18.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
17.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
15.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
15.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
15.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
13.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
13.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
12.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
12.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
10.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
9.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
8.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
EIF2S1 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
38.5
Number of samples
207
Samples
Sample
Description
TPM
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
84.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
82.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
78.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
73.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
65.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
63.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
62.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
62.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
61.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
61.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
59.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
59.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
59.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
59.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
58.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
58.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
58.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
57.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
56.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
56.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
54.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
54.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
54.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
53.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
53.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
52.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
52.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
51.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
50.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
50.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
50.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
50.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
49.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
49.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
49.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
48.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
48.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
48.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
48.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
48.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
48.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
47.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
47.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
47.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
47.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
47.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
47.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
47.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
47.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
46.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
46.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
46.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
45.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
45.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
45.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
45.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
44.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
44.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
44.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
44.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
44.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
43.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
43.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
43.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
43.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
43.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
43.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
42.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
42.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
42.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
41.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
41.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
41.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
41.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
41.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
41.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
40.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
40.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
40.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
40.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
40.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
39.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
39.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
39.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
39.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
38.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
38.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
38.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
38.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
38.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
38.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
38.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
38.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
37.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
37.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
37.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
37.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
37.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
37.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
36.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
36.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
36.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
36.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
35.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
35.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
35.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
35.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
35.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
35.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
35.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
35.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
35.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
34.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
34.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
34.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
34.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
34.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
34.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
34.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
34.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
34.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
33.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
33.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
33.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
33.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
33.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
33.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
32.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
32.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
32.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
32.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
32.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
32.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
31.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
31.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
31.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
31.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
31.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
31.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
31.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
30.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
30.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
30.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
30.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
29.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
29.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
29.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
29.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
29.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
29.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
29.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
29.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
29.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
28.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
28.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
28.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
28.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
28.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
28.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
28.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
27.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
27.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
27.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
27.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
27.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
27.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
26.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
26.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
26.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
26.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
25.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
25.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
25.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
25.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
25.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
25.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
25.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
25.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
25.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
25.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
24.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
24.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
24.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
24.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
24.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
23.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
23.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
23.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
22.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
22.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
22.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
21.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
21.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
20.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
18.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
17.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
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Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
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Normal
0.0
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Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
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Normal
0.0
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Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
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Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
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Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
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
