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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.
EIF2AK2 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
10.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
34.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
32.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
31.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
30.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
29.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
24.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
23.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
21.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
20.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
20.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
20.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
18.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
18.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
18.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
18.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
18.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
18.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
18.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
18.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
18.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
17.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
17.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
17.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
17.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
17.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
16.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
16.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
16.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
16.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
16.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
16.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
16.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
16.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
16.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
16.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
15.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
15.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
15.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
15.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
15.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
15.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
14.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
14.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
14.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
14.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
14.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
14.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
14.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
14.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
14.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
14.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
13.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
13.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
13.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
13.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
13.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
13.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
13.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
13.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
13.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
13.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
13.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
13.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
13.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
13.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
13.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
13.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
12.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
12.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
12.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
12.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
12.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
12.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
12.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
12.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
12.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
12.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
12.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
12.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
12.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
12.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
12.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
12.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
12.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
11.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
11.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
11.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
11.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
11.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
11.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
11.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
11.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
11.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
11.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
11.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
11.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
11.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
11.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
11.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
11.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
11.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
11.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
11.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
11.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
11.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
11.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
11.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
11.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
10.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
10.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
10.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
10.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
10.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
10.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
10.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
10.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
10.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
10.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
10.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
10.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
10.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
10.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
10.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
10.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
10.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
10.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
10.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
9.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
9.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
9.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
9.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
9.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
9.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
9.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
9.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
9.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
9.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
9.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
9.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
9.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
9.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
9.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
9.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
9.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
9.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
9.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
9.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
9.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
9.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
9.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
9.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
9.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
9.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
9.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
8.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
8.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
8.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
8.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
8.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
8.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
8.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
8.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
8.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
8.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
8.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
8.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
8.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
8.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
8.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
8.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
8.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
8.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
8.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
8.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
8.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
8.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
8.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
8.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
7.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
7.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
7.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
7.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
7.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
7.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
7.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
7.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
7.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
7.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
7.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
7.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
7.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
7.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
7.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
7.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
7.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
7.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
7.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
7.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
7.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
7.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
7.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
7.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
6.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
6.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
6.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
6.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
6.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
6.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
6.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
6.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
6.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
6.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
6.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
6.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
6.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
6.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
6.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
6.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
6.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
6.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
6.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
6.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
6.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
6.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
6.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
6.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
5.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
5.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
5.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
5.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
5.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
5.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
5.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
5.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
5.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
5.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
5.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
5.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
5.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
5.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
5.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
5.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
5.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
4.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
4.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
4.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 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.
EIF2AK2 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
42.3
Number of samples
486
Samples
Sample
Description
TPM
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
95.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
93.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
92.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
92.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
91.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
88.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
86.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
86.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
84.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
83.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
83.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
82.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
82.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
80.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
79.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
77.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
76.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
73.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
73.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
72.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
72.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
70.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
70.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
68.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
67.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
67.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
67.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
67.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
66.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
65.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
65.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
65.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
65.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
65.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
64.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
64.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
64.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
64.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
63.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
63.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
63.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
63.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
63.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
62.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
61.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
61.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
60.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
59.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
59.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
59.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
59.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
58.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
58.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
57.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
57.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
57.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
57.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
57.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
57.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
57.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
57.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
56.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
56.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
56.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
56.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
56.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
56.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
56.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
56.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
56.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
56.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
55.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
55.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
55.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
55.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
55.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
55.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
55.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
55.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
54.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
54.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
54.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
54.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
54.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
54.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
54.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
54.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
53.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
53.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
53.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
53.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
53.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
53.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
53.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
52.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
52.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
52.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
52.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
52.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
52.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
52.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
52.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
51.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
51.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
51.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
51.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
51.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
51.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
51.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
51.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
50.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
50.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
50.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
50.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
50.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
50.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
50.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
50.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
49.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
49.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
49.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
49.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
49.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
49.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
49.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
49.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
49.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
48.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
48.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
48.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
48.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
48.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
48.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
48.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
48.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
48.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
48.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
47.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
47.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
47.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
47.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
47.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
47.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
47.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
47.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
47.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
47.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
46.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
46.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
46.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
46.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
46.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
46.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
46.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
46.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
46.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
46.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
45.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
45.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
45.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
45.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
45.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
45.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
45.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
45.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
45.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
45.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
45.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
45.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
45.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
44.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
44.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
44.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
44.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
44.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
44.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
44.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
44.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
44.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
44.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
44.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
44.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
44.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
44.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
43.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
43.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
43.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
43.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
43.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
43.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
43.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
43.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
43.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
43.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
43.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
43.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
42.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
42.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
42.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
42.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
42.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
42.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
42.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
42.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
42.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
42.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
42.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
42.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
42.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
42.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
42.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
42.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
42.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
42.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
42.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
41.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
41.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
41.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
41.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
41.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
41.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
41.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
41.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
41.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
41.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
41.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
40.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
40.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
40.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
40.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
40.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
40.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
40.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
40.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
40.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
40.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
40.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
40.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
40.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
40.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
40.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
39.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
39.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
39.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
39.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
39.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
39.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
39.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
39.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
39.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
39.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
39.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
39.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
39.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
38.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
38.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
38.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
38.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
38.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
38.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
38.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
38.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
38.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
38.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
38.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
38.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
38.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
37.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
37.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
37.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
37.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
37.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
37.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
37.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
37.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
37.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
37.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
37.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
37.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
37.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
37.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
37.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
36.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
36.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
36.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
36.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
36.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
36.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
36.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
36.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
36.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
36.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
36.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
36.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
36.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
36.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
35.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
35.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
35.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
35.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
35.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
35.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
35.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
35.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
35.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
35.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
35.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
35.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
35.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
35.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
35.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
35.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
35.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
35.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
34.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
34.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
34.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
34.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
34.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
34.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
34.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
34.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
34.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
34.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
34.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
34.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
34.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
34.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
34.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
34.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
33.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
33.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
33.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
33.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
33.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
33.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
33.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
33.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
33.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
33.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
33.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
33.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
33.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
33.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
33.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
33.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
33.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
32.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
32.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
32.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
32.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
32.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
32.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
32.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
32.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
32.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
32.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
32.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
32.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
32.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
32.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
32.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
32.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
32.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
31.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
31.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
31.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
31.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
31.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
31.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
31.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
31.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
31.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
31.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
31.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
31.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
31.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
31.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
31.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
31.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
31.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
31.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
30.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
30.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
30.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
30.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
30.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
30.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
30.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
30.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
30.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
30.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
30.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
29.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
29.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
29.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
29.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
29.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
29.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
29.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
29.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
29.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
29.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
29.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
29.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
29.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
29.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
29.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
29.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
28.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
28.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
28.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
28.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
28.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
28.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
28.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
28.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
28.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
28.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
28.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
28.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
28.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
28.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
28.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
28.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
27.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
27.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
27.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
27.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
27.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
27.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
27.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
27.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
26.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
26.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
26.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
26.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
26.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
26.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
26.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
26.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
26.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
26.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
25.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
25.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
25.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
25.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
25.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
24.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
24.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
24.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
24.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
23.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
23.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
23.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
23.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
23.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
23.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
23.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
23.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
22.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
22.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
22.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
22.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
22.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
21.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
21.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
21.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
21.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
20.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
20.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
20.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
19.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
19.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
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.
EIF2AK2 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
11.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
30.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
27.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
21.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
20.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
19.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
19.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
18.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
18.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
17.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
17.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
16.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
16.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
15.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
15.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
15.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
15.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
15.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
15.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
15.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
13.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
13.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
12.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
12.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
12.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
12.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
12.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
12.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
12.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
12.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
12.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
12.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
12.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
11.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
11.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
11.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
11.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
11.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
11.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
10.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
10.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
10.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
10.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
10.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
10.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
9.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
9.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
9.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
9.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
9.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
9.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
9.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
9.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
8.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
8.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
8.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
8.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
8.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
8.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
8.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
8.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
7.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
7.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
7.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
7.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
7.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
7.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
7.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
7.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
7.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
7.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
7.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
7.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
7.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
6.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
6.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
6.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
6.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
6.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
5.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
5.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
5.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
4.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EIF2AK2 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
39.6
Number of samples
207
Samples
Sample
Description
TPM
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
92.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
92.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
81.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
80.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
78.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
69.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
68.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
67.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
67.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
66.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
66.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
64.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
64.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
62.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
62.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
62.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
61.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
59.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
56.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
56.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
55.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
55.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
55.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
54.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
54.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
53.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
53.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
52.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
51.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
51.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
51.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
51.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
51.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
50.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
49.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
49.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
48.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
48.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
47.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
47.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
47.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
46.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
46.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
46.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
46.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
46.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
46.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
45.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
45.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
45.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
45.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
44.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
44.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
44.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
43.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
43.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
43.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
43.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
43.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
43.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
42.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
42.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
42.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
42.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
42.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
42.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
42.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
42.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
41.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
41.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
41.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
41.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
41.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
41.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
40.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
40.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
40.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
40.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
39.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
39.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
39.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
39.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
39.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
39.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
38.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
38.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
38.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
38.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
38.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
38.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
38.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
38.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
37.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
37.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
37.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
37.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
37.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
37.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
37.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
36.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
36.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
36.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
36.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
36.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
36.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
36.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
36.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
35.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
35.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
35.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
35.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
35.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
35.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
35.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
35.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
35.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
34.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
34.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
34.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
34.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
34.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
34.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
34.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
34.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
34.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
33.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
33.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
33.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
33.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
33.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
32.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
32.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
32.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
32.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
32.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
32.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
32.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
32.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
31.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
31.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
31.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
31.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
31.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
31.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
31.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
31.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
31.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
30.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
30.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
30.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
30.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
30.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
30.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
30.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
30.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
30.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
29.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
29.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
29.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
29.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
29.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
29.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
29.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
29.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
29.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
28.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
27.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
27.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
27.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
27.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
27.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
27.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
27.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
27.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
27.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
26.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
26.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
26.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
25.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
24.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
24.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
24.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
24.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
24.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
24.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
23.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
23.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
23.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
23.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
23.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
23.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
22.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
22.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
22.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0f238226-864c-4de0-8c61-01e729_D2
Tumor
1.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.9
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.8
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.6
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
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Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
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Tumor
0.5
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Tumor
0.5
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Tumor
0.4
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Normal
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
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Tumor
0.3
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Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
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Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
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
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
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
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
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Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
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Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.6
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.