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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.
GNA13 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
14.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
59.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
46.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
36.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
36.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
35.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
31.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
31.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
29.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
28.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
27.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
26.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
24.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
24.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
24.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
23.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
23.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
23.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
23.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
23.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
22.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
22.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
22.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
22.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
21.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
21.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
21.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
21.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
20.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
20.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
20.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
19.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
19.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
19.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
19.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
19.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
19.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
18.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
18.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
18.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
18.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
18.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
18.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
18.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
18.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
18.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
18.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
18.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
18.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
17.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
17.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
17.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
17.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
17.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
17.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
17.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
17.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
17.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
17.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
17.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
17.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
17.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
17.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
17.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
17.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
17.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
16.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
16.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
16.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
16.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
16.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
16.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
16.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
16.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
15.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
15.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
15.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
15.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
15.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
15.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
15.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
15.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
15.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
15.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
15.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
15.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
15.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
15.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
15.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
15.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
15.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
14.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
14.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
14.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
14.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
14.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
14.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
14.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
14.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
14.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
14.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
14.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
14.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
14.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
14.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
14.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
14.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
14.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
13.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
13.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
13.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
13.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
13.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
13.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
13.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
13.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
13.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
13.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
13.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
13.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
13.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
13.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
13.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
13.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
13.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
13.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
13.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
13.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
13.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
13.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
13.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
13.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
13.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
12.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
12.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
12.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
12.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
12.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
12.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
12.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
12.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
12.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
12.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
12.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
12.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
12.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
12.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
12.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
12.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
12.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
12.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
12.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
12.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
11.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
11.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
11.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
11.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
11.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
11.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
11.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
11.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
11.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
11.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
11.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
11.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
11.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
11.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
11.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
11.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
11.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
11.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
11.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
11.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
11.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
11.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
11.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
11.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
11.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
11.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
11.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
11.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
10.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
10.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
10.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
10.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
10.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
10.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
10.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
10.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
10.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
10.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
10.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
10.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
10.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
10.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
10.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
10.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
10.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
10.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
9.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
9.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
9.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
9.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
9.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
9.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
9.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
9.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
9.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
9.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
9.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
9.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
9.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
9.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
9.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
9.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
9.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
9.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
9.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
9.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
9.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
9.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
8.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
8.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
8.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
8.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
8.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
8.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
8.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
8.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
8.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
8.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
8.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
8.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
7.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
7.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
7.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
7.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
7.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
7.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
7.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
7.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
6.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
6.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
6.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
6.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
6.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
6.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
5.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
5.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
5.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 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.
GNA13 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
41.0
Number of samples
486
Samples
Sample
Description
TPM
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
78.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
74.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
72.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
71.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
69.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
69.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
67.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
65.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
65.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
65.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
65.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
64.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
64.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
64.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
63.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
62.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
61.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
61.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
60.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
60.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
60.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
60.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
59.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
59.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
59.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
58.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
58.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
58.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
57.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
57.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
57.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
57.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
57.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
57.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
57.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
57.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
56.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
56.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
56.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
56.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
56.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
56.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
56.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
56.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
56.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
55.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
55.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
55.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
55.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
55.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
54.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
54.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
54.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
54.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
54.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
53.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
53.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
53.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
53.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
53.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
53.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
53.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
53.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
53.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
53.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
53.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
53.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
52.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
52.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
52.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
52.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
52.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
52.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
52.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
52.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
51.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
51.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
51.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
51.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
51.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
51.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
51.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
51.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
51.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
50.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
50.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
50.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
50.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
50.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
50.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
50.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
50.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
50.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
49.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
49.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
49.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
49.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
49.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
49.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
49.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
49.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
49.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
49.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
49.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
48.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
48.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
48.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
48.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
48.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
48.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
48.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
48.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
48.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
48.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
48.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
48.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
48.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
47.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
47.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
47.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
47.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
47.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
47.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
47.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
47.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
47.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
47.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
47.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
47.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
47.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
47.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
47.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
46.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
46.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
46.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
46.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
46.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
46.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
46.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
45.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
45.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
45.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
45.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
45.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
45.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
45.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
45.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
45.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
45.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
45.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
45.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
45.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
45.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
45.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
45.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
44.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
44.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
44.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
44.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
44.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
44.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
44.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
44.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
44.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
44.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
44.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
43.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
43.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
43.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
43.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
43.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
43.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
43.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
43.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
43.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
43.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
43.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
43.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
43.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
42.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
42.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
42.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
42.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
42.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
42.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
42.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
42.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
42.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
42.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
42.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
42.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
42.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
42.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
42.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
41.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
41.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
41.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
41.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
41.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
41.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
41.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
41.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
41.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
41.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
41.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
41.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
41.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
41.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
41.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
41.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
41.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
41.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
41.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
41.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
41.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
41.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
41.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
41.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
40.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
40.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
40.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
40.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
40.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
40.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
40.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
40.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
40.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
40.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
40.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
40.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
40.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
40.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
40.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
40.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
40.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
40.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
40.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
39.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
39.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
39.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
39.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
39.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
39.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
39.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
39.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
39.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
39.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
39.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
39.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
39.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
39.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
39.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
39.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
39.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
39.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
39.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
38.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
38.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
38.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
38.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
38.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
38.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
38.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
38.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
38.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
38.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
38.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
38.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
38.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
38.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
38.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
38.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
38.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
38.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
38.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
38.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
38.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
37.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
37.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
37.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
37.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
37.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
37.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
37.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
37.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
37.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
37.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
37.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
37.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
37.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
37.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
37.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
37.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
37.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
37.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
37.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
37.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
37.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
37.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
36.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
36.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
36.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
36.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
36.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
36.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
36.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
36.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
36.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
36.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
36.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
36.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
36.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
36.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
36.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
36.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
36.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
36.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
36.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
36.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
36.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
35.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
35.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
35.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
35.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
35.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
35.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
35.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
35.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
35.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
35.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
35.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
35.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
35.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
35.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
35.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
35.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
35.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
35.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
35.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
35.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
35.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
34.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
34.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
34.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
34.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
34.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
34.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
34.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
34.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
34.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
34.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
34.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
34.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
34.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
34.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
34.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
33.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
33.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
33.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
33.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
33.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
33.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
33.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
33.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
33.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
33.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
33.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
33.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
33.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
33.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
33.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
33.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
32.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
32.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
32.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
32.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
32.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
32.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
32.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
32.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
32.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
32.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
32.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
32.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
32.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
32.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
32.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
31.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
31.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
31.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
31.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
31.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
31.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
31.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
31.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
31.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
31.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
31.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
30.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
30.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
30.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
30.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
30.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
30.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
30.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
30.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
30.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
29.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
29.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
29.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
29.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
29.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
29.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
29.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
29.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
29.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
29.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
28.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
28.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
28.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
28.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
28.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
28.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
28.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
28.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
28.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
28.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
28.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
28.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
28.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
27.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
27.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
27.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
27.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
27.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
27.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
27.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
26.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
26.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
26.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
26.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
26.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
26.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
26.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
26.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
25.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
25.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
25.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
25.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
25.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
25.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
25.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
25.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
25.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
24.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
24.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
24.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
23.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
23.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
23.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
23.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
21.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
20.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
18.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
18.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
14.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
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.
GNA13 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
14.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
30.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
26.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
25.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
24.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
23.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
23.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
23.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
22.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
22.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
21.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
21.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
20.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
20.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
19.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
19.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
19.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
18.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
18.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
18.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
18.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
18.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
18.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
17.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
16.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
16.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
16.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
16.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
16.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
16.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
15.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
15.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
15.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
15.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
15.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
15.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
14.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
14.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
14.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
14.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
14.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
14.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
14.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
14.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
14.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
14.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
14.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
13.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
13.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
13.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
13.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
13.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
12.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
12.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
12.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
12.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
12.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
12.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
12.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
12.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
12.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
11.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
11.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
11.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
11.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
11.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
11.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
11.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
11.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
10.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
10.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
10.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
10.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
10.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
9.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
9.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
9.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
9.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
8.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
8.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
8.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
7.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
7.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
6.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
6.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
5.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.5
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.
GNA13 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
36.4
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
89.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
68.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
67.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
63.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
62.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
61.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
60.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
58.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
57.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
57.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
55.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
54.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
54.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
53.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
52.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
51.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
51.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
50.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
50.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
49.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
49.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
49.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
48.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
47.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
47.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
46.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
46.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
46.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
46.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
45.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
45.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
45.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
45.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
45.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
44.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
44.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
44.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
44.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
44.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
44.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
42.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
42.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
42.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
42.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
41.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
41.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
41.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
41.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
41.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
41.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
41.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
41.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
40.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
40.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
40.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
40.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
40.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
39.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
39.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
39.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
39.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
39.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
39.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
39.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
39.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
39.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
39.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
38.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
38.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
38.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
38.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
38.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
38.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
38.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
37.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
37.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
37.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
37.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
37.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
37.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
37.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
36.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
36.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
36.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
36.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
36.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
36.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
36.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
36.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
36.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
36.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
36.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
35.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
35.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
35.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
35.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
35.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
34.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
34.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
34.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
34.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
34.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
34.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
34.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
34.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
34.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
33.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
33.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
33.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
33.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
33.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
33.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
33.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
33.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
33.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
33.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
33.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
33.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
33.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
33.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
33.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
32.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
32.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
32.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
32.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
32.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
32.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
31.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
31.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
31.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
31.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
31.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
31.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
31.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
31.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
31.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
31.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
31.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
31.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
31.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
31.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
31.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
30.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
30.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
30.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
30.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
30.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
30.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
30.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
30.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
30.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
30.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
29.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
29.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
29.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
29.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
29.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
29.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
29.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
29.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
29.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
28.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
28.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
28.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
28.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
28.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
28.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
28.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
28.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
27.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
27.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
27.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
27.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
27.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
26.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
26.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
26.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
26.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
26.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
25.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
25.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
24.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
24.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
24.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
24.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
24.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
23.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
22.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
22.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
21.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
21.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
21.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
21.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
19.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
18.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
16.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.7
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
