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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.
RALGAPB 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
12.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
48.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
33.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
32.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
31.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
30.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
30.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
29.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
28.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
26.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
26.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
26.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
25.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
24.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
24.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
23.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
23.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
23.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
22.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
22.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
22.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
22.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
21.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
21.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
21.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
21.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
20.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
20.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
20.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
20.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
20.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
20.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
20.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
20.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
20.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
20.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
20.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
20.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
19.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
19.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
19.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
19.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
19.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
19.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
18.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
18.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
18.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
18.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
18.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
18.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
18.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
18.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
18.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
18.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
17.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
17.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
17.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
17.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
16.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
16.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
16.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
16.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
16.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
16.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
16.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
16.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
16.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
15.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
15.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
15.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
15.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
15.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
15.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
15.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
15.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
15.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
15.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
15.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
14.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
14.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
14.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
14.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
14.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
14.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
14.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
14.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
14.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
14.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
14.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
13.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
13.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
13.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
13.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
13.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
13.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
13.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
13.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
13.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
13.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
13.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
13.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
13.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
13.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
12.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
12.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
12.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
12.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
12.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
12.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
12.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
12.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
12.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
12.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
12.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
12.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
12.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
11.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
11.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
11.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
11.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
11.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
11.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
11.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
11.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
11.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
11.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
11.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
11.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
11.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
11.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
10.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
10.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
10.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
10.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
10.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
10.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
10.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
10.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
10.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
10.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
10.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
10.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
10.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
10.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
10.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
10.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
10.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
10.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
10.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
10.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
10.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
9.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
9.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
9.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
9.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
9.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
9.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
9.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
9.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
9.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
9.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
9.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
9.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
9.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
9.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
9.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
9.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
9.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
9.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
9.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
9.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
9.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
9.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
9.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
9.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
9.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
9.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
9.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
9.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
8.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
8.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
8.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
8.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
8.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
8.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
8.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
8.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
8.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
8.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
8.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
8.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
8.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
8.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
8.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
8.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
8.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
8.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
8.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
8.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
8.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
7.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
7.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
7.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
7.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
7.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
7.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
7.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
7.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
7.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
7.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
7.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
7.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
7.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
7.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
7.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
7.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
7.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
6.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
6.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
6.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
6.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
6.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
6.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
6.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
6.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
6.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
6.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
6.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
6.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
6.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
6.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
6.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
5.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
5.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
5.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
5.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
5.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
5.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
4.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
4.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
4.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
3.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
3.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 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.
RALGAPB 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
35.4
Number of samples
486
Samples
Sample
Description
TPM
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
99.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
86.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
82.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
80.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
78.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
76.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
73.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
70.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
70.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
70.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
67.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
65.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
63.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
63.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
63.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
63.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
62.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
62.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
62.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
62.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
61.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
61.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
60.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
60.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
60.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
59.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
59.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
58.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
58.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
58.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
57.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
57.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
56.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
56.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
55.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
55.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
55.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
55.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
54.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
54.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
54.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
54.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
54.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
54.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
54.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
54.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
52.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
52.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
52.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
52.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
51.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
51.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
50.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
50.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
50.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
50.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
50.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
50.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
49.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
49.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
49.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
49.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
49.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
49.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
48.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
48.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
48.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
48.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
48.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
48.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
47.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
47.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
47.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
47.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
47.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
47.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
46.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
46.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
46.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
46.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
46.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
46.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
46.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
45.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
45.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
45.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
45.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
45.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
44.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
44.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
44.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
44.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
44.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
44.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
44.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
44.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
44.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
43.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
43.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
43.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
43.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
43.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
43.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
43.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
42.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
42.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
42.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
42.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
42.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
42.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
42.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
42.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
42.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
42.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
42.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
42.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
42.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
41.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
41.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
41.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
41.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
41.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
41.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
41.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
41.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
41.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
41.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
41.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
41.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
40.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
40.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
40.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
40.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
40.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
40.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
40.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
40.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
40.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
40.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
40.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
40.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
40.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
39.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
39.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
39.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
39.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
39.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
39.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
39.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
39.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
39.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
39.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
39.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
39.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
39.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
39.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
39.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
38.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
38.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
38.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
38.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
38.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
38.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
38.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
38.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
38.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
38.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
37.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
37.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
37.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
37.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
37.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
37.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
37.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
37.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
37.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
37.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
37.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
37.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
37.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
37.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
37.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
37.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
37.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
37.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
37.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
37.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
36.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
36.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
36.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
36.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
36.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
36.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
36.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
36.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
36.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
36.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
36.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
36.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
36.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
35.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
35.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
35.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
35.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
35.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
35.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
35.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
35.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
35.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
35.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
34.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
34.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
34.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
34.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
34.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
34.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
34.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
34.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
34.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
34.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
34.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
34.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
34.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
33.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
33.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
33.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
33.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
33.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
33.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
33.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
33.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
33.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
33.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
33.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
33.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
33.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
33.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
33.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
33.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
33.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
33.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
33.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
33.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
33.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
33.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
33.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
33.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
32.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
32.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
32.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
32.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
32.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
32.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
32.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
32.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
32.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
32.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
32.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
32.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
32.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
32.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
32.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
32.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
31.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
31.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
31.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
31.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
31.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
31.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
31.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
31.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
31.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
31.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
31.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
31.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
31.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
30.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
30.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
30.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
30.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
30.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
30.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
30.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
30.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
30.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
30.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
30.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
30.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
30.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
29.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
29.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
29.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
29.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
29.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
29.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
29.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
29.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
29.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
29.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
29.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
29.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
29.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
29.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
29.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
29.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
29.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
29.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
29.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
29.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
29.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
28.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
28.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
28.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
28.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
28.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
28.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
28.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
28.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
28.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
28.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
28.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
28.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
28.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
28.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
28.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
27.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
27.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
27.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
27.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
27.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
27.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
27.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
27.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
27.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
27.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
27.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
27.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
27.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
27.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
27.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
27.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
27.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
26.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
26.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
26.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
26.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
26.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
26.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
26.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
26.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
26.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
26.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
26.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
26.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
26.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
26.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
26.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
26.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
26.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
26.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
26.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
25.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
25.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
25.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
25.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
25.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
25.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
25.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
25.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
25.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
25.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
25.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
25.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
25.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
25.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
25.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
25.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
25.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
25.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
25.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
25.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
25.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
25.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
24.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
24.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
24.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
24.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
24.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
24.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
24.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
24.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
24.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
24.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
24.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
24.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
24.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
24.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
24.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
24.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
24.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
24.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
24.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
23.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
23.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
23.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
23.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
23.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
23.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
23.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
23.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
23.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
23.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
23.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
23.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
23.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
23.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
23.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
23.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
23.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
23.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
23.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
23.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
23.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
22.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
22.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
22.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
22.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
22.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
22.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
22.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
22.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
22.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
22.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
22.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
22.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
22.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
22.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
22.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
22.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
22.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
22.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
22.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
22.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
22.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
21.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
21.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
21.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
21.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
21.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
21.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
21.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
21.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
21.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
21.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
20.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
20.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
20.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
20.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
20.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
20.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
19.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
19.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
19.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
19.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
19.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
19.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
18.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
18.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
18.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
18.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
18.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
18.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
17.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
17.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
17.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
12.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.2
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.
RALGAPB 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
14.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
32.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
29.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
28.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
28.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
25.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
24.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
23.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
23.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
23.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
22.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
22.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
22.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
19.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
19.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
19.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
19.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
19.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
19.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
18.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
18.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
18.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
18.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
18.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
17.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
17.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
17.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
16.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
16.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
16.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
16.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
16.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
16.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
16.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
15.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
15.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
15.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
15.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
15.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
15.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
14.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
14.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
14.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
14.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
14.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
14.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
13.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
13.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
12.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
12.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
12.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
12.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
12.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
12.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
12.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
12.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
11.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
11.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
11.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
11.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
11.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
11.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
11.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
11.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
10.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
10.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
10.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
10.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
10.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
10.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
10.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
10.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
9.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
9.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
9.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
9.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
9.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
9.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
8.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
8.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
7.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
6.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
6.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
6.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
5.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.8
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.
RALGAPB 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
37.6
Number of samples
207
Samples
Sample
Description
TPM
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
88.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
76.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
74.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
71.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
66.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
63.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
63.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
62.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
59.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
57.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
57.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
56.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
55.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
55.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
54.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
54.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
54.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
53.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
53.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
52.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
52.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
52.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
51.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
51.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
51.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
51.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
51.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
51.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
51.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
50.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
49.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
49.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
48.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
47.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
47.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
47.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
47.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
46.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
46.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
46.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
46.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
46.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
45.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
45.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
44.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
44.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
44.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
44.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
44.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
43.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
43.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
43.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
43.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
43.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
42.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
42.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
42.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
42.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
42.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
42.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
42.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
42.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
41.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
41.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
41.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
40.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
40.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
40.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
40.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
40.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
40.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
40.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
40.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
39.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
39.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
39.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
39.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
39.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
38.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
38.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
38.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
38.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
38.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
38.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
38.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
37.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
37.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
37.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
37.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
37.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
37.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
37.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
36.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
36.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
36.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
36.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
36.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
36.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
36.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
36.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
36.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
35.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
35.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
35.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
35.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
35.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
35.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
34.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
34.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
34.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
34.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
34.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
34.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
34.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
34.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
34.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
33.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
33.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
33.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
33.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
33.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
33.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
33.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
33.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
33.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
32.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
32.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
32.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
32.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
32.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
32.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
31.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
31.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
31.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
31.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
31.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
31.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
31.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
30.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
30.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
30.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
30.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
30.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
30.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
30.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
30.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
30.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
30.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
30.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
29.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
29.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
29.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
29.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
29.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
29.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
29.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
29.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
28.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
28.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
28.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
28.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
28.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
28.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
28.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
28.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
27.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
27.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
27.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
27.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
27.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
27.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
27.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
27.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
26.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
26.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
26.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
26.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
26.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
26.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
26.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
26.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
26.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
25.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
25.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
25.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
24.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
24.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
24.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
24.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
23.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
22.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
22.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
22.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
22.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
22.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
21.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
21.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
21.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
20.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
20.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
17.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
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Normal
0.0
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Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.9
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.