We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
RALGAPA2 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
16.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
62.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
58.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
57.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
54.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
52.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
42.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
42.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
41.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
39.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
39.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
38.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
37.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
36.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
35.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
35.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
35.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
34.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
34.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
31.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
31.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
31.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
31.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
30.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
29.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
29.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
29.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
29.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
28.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
28.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
28.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
27.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
26.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
26.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
26.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
26.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
26.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
26.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
25.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
25.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
25.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
24.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
24.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
24.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
23.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
23.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
23.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
23.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
22.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
22.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
22.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
22.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
21.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
21.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
21.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
21.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
21.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
21.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
21.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
20.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
20.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
20.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
20.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
20.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
20.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
20.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
19.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
19.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
19.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
19.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
19.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
19.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
19.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
19.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
19.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
18.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
18.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
18.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
18.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
18.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
18.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
18.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
18.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
18.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
18.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
17.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
17.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
17.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
17.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
17.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
17.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
16.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
16.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
16.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
16.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
16.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
16.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
16.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
16.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
16.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
16.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
16.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
15.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
15.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
15.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
15.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
15.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
15.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
15.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
15.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
15.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
15.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
15.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
15.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
15.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
15.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
14.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
14.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
14.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
14.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
14.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
14.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
14.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
14.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
14.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
14.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
14.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
14.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
14.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
14.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
14.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
14.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
14.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
13.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
13.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
13.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
13.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
13.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
13.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
13.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
13.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
13.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
13.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
13.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
13.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
13.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
13.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
13.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
12.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
12.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
12.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
12.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
12.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
12.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
12.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
11.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
11.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
11.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
11.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
11.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
11.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
11.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
11.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
11.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
11.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
11.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
11.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
11.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
10.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
10.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
10.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
10.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
10.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
10.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
10.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
10.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
10.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
10.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
9.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
9.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
9.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
9.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
9.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
9.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
9.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
9.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
9.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
9.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
9.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
9.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
9.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
9.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
9.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
9.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
9.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
9.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
9.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
9.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
8.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
8.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
8.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
8.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
8.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
8.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
8.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
8.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
8.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
8.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
8.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
8.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
8.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
8.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
8.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
8.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
8.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
8.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
7.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
7.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
7.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
7.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
7.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
7.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
7.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
7.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
7.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
7.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
7.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
6.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
6.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
6.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
6.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
6.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
6.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
5.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
5.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
5.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
5.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
4.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
4.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
4.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
4.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
3.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
2.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
2.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
2.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 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.
RALGAPA2 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
39.3
Number of samples
486
Samples
Sample
Description
TPM
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
127.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
120.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
104.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
97.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
92.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
92.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
92.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
91.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
89.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
88.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
87.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
87.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
86.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
85.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
84.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
83.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
82.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
81.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
80.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
79.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
78.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
78.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
77.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
74.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
73.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
73.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
73.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
71.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
71.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
71.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
70.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
70.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
69.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
69.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
66.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
66.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
66.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
64.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
62.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
62.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
61.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
61.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
61.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
61.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
60.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
60.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
60.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
60.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
59.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
59.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
59.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
59.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
59.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
59.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
59.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
59.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
59.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
58.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
58.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
58.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
58.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
58.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
58.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
58.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
58.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
58.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
57.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
57.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
57.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
56.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
56.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
56.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
56.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
56.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
56.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
56.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
56.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
56.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
56.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
55.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
55.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
54.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
54.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
54.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
54.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
54.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
54.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
53.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
53.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
53.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
53.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
53.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
53.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
53.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
53.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
53.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
53.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
53.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
53.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
52.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
52.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
52.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
52.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
52.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
51.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
51.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
51.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
51.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
50.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
50.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
50.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
50.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
49.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
49.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
49.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
49.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
49.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
49.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
49.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
49.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
48.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
48.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
48.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
48.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
48.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
48.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
48.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
48.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
47.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
47.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
47.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
47.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
46.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
46.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
46.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
46.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
46.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
46.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
46.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
45.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
45.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
45.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
45.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
45.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
45.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
45.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
45.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
45.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
45.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
45.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
44.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
44.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
44.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
44.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
44.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
44.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
44.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
44.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
44.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
43.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
43.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
43.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
43.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
42.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
42.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
42.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
42.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
42.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
42.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
42.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
42.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
42.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
42.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
42.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
42.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
41.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
41.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
41.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
41.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
41.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
41.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
41.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
41.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
41.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
41.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
40.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
40.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
40.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
40.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
40.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
40.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
40.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
40.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
39.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
39.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
39.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
39.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
39.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
39.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
39.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
39.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
39.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
39.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
39.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
39.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
39.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
39.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
39.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
38.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
38.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
38.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
38.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
38.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
38.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
38.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
38.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
38.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
38.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
38.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
37.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
37.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
37.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
37.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
37.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
37.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
37.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
37.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
37.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
37.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
36.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
36.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
36.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
36.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
36.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
36.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
36.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
36.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
36.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
36.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
36.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
35.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
35.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
35.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
35.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
35.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
35.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
35.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
35.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
35.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
34.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
34.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
34.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
34.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
34.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
34.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
34.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
34.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
34.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
34.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
34.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
34.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
34.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
33.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
33.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
33.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
33.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
33.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
33.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
33.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
33.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
33.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
33.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
33.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
33.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
32.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
32.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
32.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
32.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
32.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
32.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
32.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
32.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
32.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
32.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
32.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
31.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
31.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
31.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
31.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
31.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
31.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
31.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
31.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
31.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
31.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
31.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
31.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
31.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
31.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
31.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
31.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
30.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
30.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
30.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
30.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
30.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
30.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
30.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
30.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
30.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
30.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
30.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
30.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
30.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
29.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
29.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
29.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
29.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
29.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
29.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
29.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
29.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
29.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
29.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
29.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
29.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
28.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
28.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
28.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
28.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
28.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
28.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
28.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
28.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
28.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
27.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
27.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
27.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
27.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
27.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
27.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
27.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
27.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
27.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
27.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
27.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
27.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
27.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
27.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
26.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
26.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
26.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
26.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
26.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
26.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
26.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
26.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
26.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
26.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
26.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
26.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
26.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
26.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
26.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
25.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
25.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
25.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
25.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
25.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
25.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
25.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
25.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
25.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
25.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
25.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
25.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
25.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
25.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
25.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
25.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
25.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
25.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
25.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
25.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
25.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
24.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
24.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
24.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
24.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
24.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
24.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
24.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
24.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
24.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
24.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
24.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
24.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
24.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
24.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
24.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
24.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
24.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
24.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
24.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
24.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
24.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
23.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
23.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
23.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
23.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
23.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
23.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
23.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
23.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
23.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
23.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
23.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
22.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
22.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
22.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
22.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
22.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
22.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
22.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
22.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
22.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
21.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
21.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
21.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
21.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
21.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
21.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
21.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
21.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
21.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
21.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
20.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
20.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
20.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
20.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
20.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
19.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
19.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
19.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
19.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
19.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
19.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
19.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
18.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
18.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
17.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
17.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
17.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
17.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
17.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
17.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
16.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
16.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
16.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
16.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
16.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
16.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
16.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
16.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
16.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
15.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
15.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
14.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
14.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
14.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
14.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
14.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
14.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
13.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
12.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
12.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
12.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
11.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
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.
RALGAPA2 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
16.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
90.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
46.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
39.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
37.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
36.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
32.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
30.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
30.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
29.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
29.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
28.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
27.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
27.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
26.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
25.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
24.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
24.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
24.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
23.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
22.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
22.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
22.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
21.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
20.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
19.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
19.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
19.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
19.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
18.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
18.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
18.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
18.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
17.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
17.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
17.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
17.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
17.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
17.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
16.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
14.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
14.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
14.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
14.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
14.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
14.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
14.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
14.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
14.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
13.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
13.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
13.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
13.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
12.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
12.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
12.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
11.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
11.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
11.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
10.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
10.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
9.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
9.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
9.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
9.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
9.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
9.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
9.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
9.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
9.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
9.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
8.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
8.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
8.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
7.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
7.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
7.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
6.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
6.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
6.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
5.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
5.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
4.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
2.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
RALGAPA2 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
37.7
Number of samples
207
Samples
Sample
Description
TPM
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
90.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
81.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
80.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
79.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
78.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
77.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
77.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
73.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
73.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
72.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
72.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
71.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
69.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
69.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
68.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
67.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
66.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
64.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
63.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
63.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
62.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
61.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
60.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
60.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
59.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
56.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
56.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
55.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
55.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
55.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
54.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
53.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
52.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
52.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
52.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
51.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
51.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
51.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
50.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
49.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
48.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
48.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
48.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
48.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
47.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
47.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
47.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
47.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
46.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
46.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
46.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
46.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
46.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
46.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
46.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
45.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
45.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
44.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
44.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
44.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
44.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
44.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
43.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
43.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
42.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
41.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
41.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
41.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
40.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
40.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
39.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
39.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
39.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
39.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
38.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
38.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
38.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
38.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
38.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
38.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
38.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
38.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
38.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
37.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
37.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
37.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
37.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
37.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
37.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
36.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
36.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
36.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
36.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
36.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
35.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
35.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
35.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
35.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
35.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
34.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
34.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
34.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
34.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
34.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
34.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
34.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
34.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
34.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
34.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
34.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
33.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
33.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
33.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
33.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
33.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
32.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
32.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
32.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
31.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
31.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
31.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
30.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
30.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
30.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
30.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
29.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
29.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
28.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
28.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
28.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
28.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
28.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
28.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
28.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
28.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
28.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
28.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
28.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
27.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
27.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
27.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
27.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
27.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
26.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
26.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
26.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
26.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
25.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
25.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
25.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
25.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
25.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
24.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
24.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
24.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
24.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
24.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
24.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
24.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
23.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
23.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
23.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
23.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
22.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
22.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
22.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
22.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
22.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
21.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
21.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
21.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
21.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
21.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
20.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
20.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
20.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
20.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
20.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
19.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
19.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
19.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
19.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
19.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
19.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
19.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
19.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
18.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
18.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
18.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
18.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
18.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
17.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
17.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
16.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
15.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
14.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
11.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
9.8
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
1.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
1.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.7
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.7
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.7
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
0.6
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.6
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.7
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.8
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.8
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.9
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-1.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-1.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-1.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-1.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
