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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.
MAP3K2 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
6.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
47.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
38.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
38.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
36.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
29.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
20.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
17.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
13.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
13.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
11.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
11.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
11.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
11.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
11.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
10.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
10.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
10.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
10.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
10.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
10.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
10.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
10.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
10.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
9.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
9.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
9.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
9.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
9.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
9.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
9.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
9.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
8.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
8.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
8.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
8.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
8.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
8.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
8.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
8.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
8.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
8.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
8.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
8.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
8.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
8.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
8.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
8.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
8.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
8.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
8.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
8.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
8.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
8.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
8.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
8.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
7.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
7.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
7.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
7.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
7.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
7.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
7.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
7.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
7.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
7.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
7.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
7.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
7.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
7.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
7.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
7.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
7.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
7.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
7.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
7.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
7.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
7.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
7.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
7.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
7.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
7.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
7.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
7.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
6.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
6.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
6.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
6.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
6.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
6.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
6.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
6.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
6.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
6.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
6.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
6.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
6.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
6.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
6.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
6.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
6.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
6.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
6.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
6.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
6.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
6.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
6.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
6.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
6.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
6.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
6.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
6.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
6.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
6.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
6.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
6.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
6.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
6.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
6.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
6.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
6.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
6.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
6.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
6.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
6.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
6.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
6.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
5.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
5.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
5.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
5.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
5.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
5.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
5.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
5.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
5.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
5.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
5.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
5.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
5.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
5.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
5.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
5.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
5.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
5.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
5.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
5.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
5.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
5.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
5.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
5.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
5.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
5.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
5.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
5.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
5.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
5.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
5.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
5.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
5.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
5.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
5.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
5.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
5.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
5.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
5.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
5.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
5.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
5.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
5.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
5.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
5.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
5.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
5.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
5.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
5.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
5.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
5.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
5.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
5.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
5.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
4.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
4.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
4.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
4.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
4.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
4.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
4.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
4.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
4.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
4.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
4.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
4.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
4.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
4.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
4.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
4.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
4.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
4.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
4.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
4.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
4.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
4.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
4.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
4.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
4.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
4.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
4.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
4.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
4.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
4.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
4.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
4.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
4.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
4.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
4.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
4.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
4.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
4.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
4.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
4.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
4.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
4.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
3.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
3.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
3.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
3.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
3.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
3.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
3.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
3.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
3.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
3.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
3.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
3.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
3.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
2.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
2.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 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.
MAP3K2 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
47.7
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
102.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
83.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
82.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
82.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
81.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
73.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
72.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
72.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
71.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
70.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
70.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
69.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
68.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
68.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
67.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
67.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
66.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
66.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
65.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
65.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
64.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
64.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
63.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
63.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
63.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
63.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
63.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
63.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
63.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
63.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
62.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
62.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
62.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
61.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
61.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
61.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
61.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
61.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
61.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
61.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
61.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
61.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
61.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
60.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
60.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
60.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
60.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
60.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
60.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
59.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
59.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
59.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
59.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
59.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
59.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
59.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
59.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
59.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
59.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
58.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
58.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
58.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
58.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
58.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
58.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
57.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
57.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
57.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
57.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
57.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
57.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
57.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
57.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
57.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
57.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
57.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
57.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
57.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
56.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
56.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
56.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
56.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
56.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
56.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
56.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
56.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
56.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
55.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
55.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
55.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
55.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
55.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
55.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
55.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
55.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
55.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
55.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
55.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
55.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
55.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
55.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
55.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
54.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
54.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
54.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
54.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
54.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
54.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
54.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
54.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
54.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
54.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
54.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
54.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
53.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
53.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
53.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
53.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
53.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
53.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
53.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
53.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
53.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
53.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
53.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
53.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
53.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
53.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
53.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
53.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
53.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
53.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
53.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
53.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
52.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
52.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
52.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
52.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
52.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
52.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
52.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
52.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
52.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
52.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
52.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
52.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
51.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
51.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
51.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
51.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
51.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
51.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
51.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
51.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
51.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
51.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
51.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
51.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
50.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
50.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
50.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
50.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
50.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
50.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
50.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
50.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
50.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
50.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
50.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
50.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
50.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
50.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
50.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
50.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
50.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
50.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
50.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
50.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
50.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
50.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
50.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
49.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
49.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
49.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
49.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
49.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
49.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
49.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
49.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
49.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
49.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
49.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
49.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
49.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
49.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
49.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
49.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
49.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
49.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
49.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
48.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
48.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
48.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
48.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
48.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
48.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
48.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
48.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
48.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
48.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
48.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
48.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
48.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
48.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
48.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
48.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
47.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
47.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
47.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
47.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
47.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
47.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
47.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
47.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
47.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
47.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
47.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
47.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
47.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
47.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
47.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
46.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
46.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
46.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
46.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
46.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
46.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
46.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
46.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
46.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
46.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
46.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
46.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
46.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
46.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
46.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
46.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
46.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
46.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
46.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
46.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
46.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
46.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
46.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
46.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
46.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
46.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
46.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
46.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
45.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
45.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
45.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
45.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
45.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
45.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
45.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
45.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
45.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
45.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
45.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
45.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
45.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
45.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
45.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
45.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
45.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
45.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
45.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
45.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
45.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
45.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
44.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
44.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
44.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
44.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
44.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
44.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
44.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
44.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
44.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
44.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
44.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
44.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
44.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
44.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
44.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
44.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
44.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
44.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
44.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
44.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
44.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
44.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
43.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
43.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
43.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
43.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
43.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
43.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
43.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
43.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
43.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
43.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
43.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
43.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
43.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
43.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
43.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
43.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
43.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
43.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
43.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
43.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
43.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
43.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
43.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
43.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
43.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
43.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
43.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
42.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
42.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
42.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
42.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
42.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
42.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
42.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
42.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
42.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
42.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
42.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
42.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
42.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
42.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
42.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
42.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
42.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
42.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
41.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
41.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
41.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
41.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
41.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
41.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
41.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
41.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
41.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
41.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
41.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
41.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
41.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
41.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
41.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
41.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
40.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
40.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
40.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
40.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
40.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
40.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
40.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
40.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
40.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
40.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
40.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
40.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
40.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
40.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
40.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
40.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
40.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
40.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
39.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
39.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
39.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
39.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
39.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
39.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
39.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
39.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
39.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
39.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
39.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
38.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
38.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
38.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
38.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
38.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
38.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
38.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
38.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
38.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
38.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
38.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
38.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
37.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
37.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
37.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
37.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
37.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
37.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
37.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
37.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
37.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
37.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
36.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
36.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
36.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
36.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
36.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
36.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
36.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
35.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
35.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
35.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
35.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
35.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
35.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
35.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
35.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
34.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
34.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
34.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
34.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
34.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
34.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
34.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
34.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
34.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
34.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
34.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
34.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
33.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
33.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
33.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
33.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
32.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
32.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
32.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
31.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
31.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
31.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
31.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
31.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
31.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
31.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
31.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
31.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
30.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
30.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
29.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
27.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
27.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
26.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
25.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
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.
MAP3K2 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
6.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
15.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
13.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
13.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
12.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
11.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
11.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
10.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
10.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
9.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
9.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
9.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
9.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
9.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
9.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
9.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
8.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
8.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
8.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
8.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
8.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
8.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
8.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
8.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
8.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
8.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
8.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
7.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
7.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
7.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
7.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
7.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
7.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
7.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
7.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
7.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
6.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
6.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
6.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
6.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
6.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
6.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
6.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
6.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
6.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
6.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
6.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
6.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
6.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
6.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
6.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
6.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
6.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
5.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
5.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
5.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
5.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
5.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
5.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
5.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
5.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
5.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
5.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
5.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
5.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
5.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
5.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
5.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
5.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
4.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
4.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
4.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
4.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
4.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
4.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
4.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
4.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
4.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
4.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
4.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
3.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
3.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1.9
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.
MAP3K2 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
43.6
Number of samples
207
Samples
Sample
Description
TPM
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
77.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
74.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
73.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
70.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
69.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
66.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
64.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
63.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
63.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
61.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
60.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
59.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
58.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
58.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
58.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
57.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
56.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
56.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
56.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
55.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
55.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
55.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
55.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
55.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
55.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
54.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
54.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
54.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
53.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
53.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
53.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
53.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
53.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
53.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
53.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
52.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
52.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
52.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
52.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
52.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
52.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
52.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
51.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
51.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
51.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
51.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
50.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
50.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
50.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
50.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
50.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
49.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
49.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
49.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
49.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
48.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
48.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
48.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
48.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
48.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
48.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
47.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
47.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
47.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
47.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
47.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
47.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
47.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
47.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
46.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
46.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
46.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
46.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
46.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
46.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
46.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
45.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
45.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
45.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
45.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
45.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
45.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
44.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
44.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
44.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
44.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
44.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
44.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
44.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
44.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
44.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
44.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
44.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
43.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
43.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
43.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
43.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
43.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
43.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
43.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
42.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
42.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
42.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
42.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
42.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
41.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
41.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
41.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
41.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
41.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
41.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
41.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
41.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
41.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
40.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
40.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
39.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
39.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
39.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
39.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
39.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
39.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
39.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
39.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
39.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
39.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
38.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
38.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
38.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
38.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
38.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
38.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
38.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
38.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
38.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
38.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
38.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
37.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
37.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
37.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
37.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
37.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
37.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
37.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
36.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
36.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
36.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
36.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
36.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
36.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
36.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
36.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
35.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
35.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
34.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
34.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
34.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
34.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
34.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
34.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
34.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
34.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
33.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
33.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
33.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
33.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
33.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
33.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
33.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
33.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
33.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
33.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
32.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
32.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
32.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
32.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
31.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
31.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
31.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
31.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
31.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
31.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
30.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
30.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
29.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
29.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
29.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
29.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
28.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
26.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
26.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
1.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.8
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
