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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PDGFRA 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
8.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
89.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
60.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
47.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
39.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
30.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
29.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
27.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
24.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
24.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
23.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
23.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
23.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
21.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
21.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
20.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
19.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
19.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
19.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
18.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
18.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
18.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
16.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
16.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
15.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
15.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
15.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
15.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
15.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
15.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
14.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
14.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
14.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
14.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
14.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
14.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
13.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
13.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
13.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
13.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
13.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
13.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
13.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
13.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
13.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
13.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
13.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
12.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
12.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
12.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
12.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
12.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
12.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
11.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
11.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
11.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
11.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
11.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
11.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
11.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
11.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
11.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
11.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
11.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
10.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
10.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
10.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
10.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
10.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
10.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
10.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
10.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
10.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
10.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
9.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
9.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
9.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
9.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
9.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
9.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
9.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
8.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
8.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
8.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
8.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
8.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
8.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
8.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
8.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
8.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
8.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
8.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
8.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
8.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
7.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
7.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
7.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
7.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
7.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
7.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
7.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
7.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
7.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
7.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
7.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
7.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
7.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
7.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
6.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
6.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
6.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
6.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
6.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
6.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
6.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
6.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
6.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
6.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
6.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
6.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
6.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
6.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
6.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
6.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
6.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
5.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
5.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
5.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
5.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
5.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
5.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
5.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
5.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
5.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
5.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
5.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
5.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
5.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
5.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
5.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
5.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
5.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
5.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
4.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
4.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
4.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
4.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
4.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
4.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
4.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
4.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
4.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
4.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
4.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
4.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
4.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
4.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
4.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
4.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
4.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
4.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
4.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
4.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
4.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
4.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
4.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
4.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
3.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
3.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
3.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
3.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
3.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
3.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
3.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
3.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
3.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
3.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
3.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
3.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
3.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
3.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
3.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
3.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
3.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
3.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
3.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
3.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
3.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
3.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
3.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
3.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
3.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
3.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
2.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
2.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
2.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
2.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
2.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
2.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
2.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
2.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
2.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
2.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
2.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
2.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
1.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
1.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
1.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
0.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
0.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
0.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
0.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
0.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 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.
PDGFRA 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
34.9
Number of samples
486
Samples
Sample
Description
TPM
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
126.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
115.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
92.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
90.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
83.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
82.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
76.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
74.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
73.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
72.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
72.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
72.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
71.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
69.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
68.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
68.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
67.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
66.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
65.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
65.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
63.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
62.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
62.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
62.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
61.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
61.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
60.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
59.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
59.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
58.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
58.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
58.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
58.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
58.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
57.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
57.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
57.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
57.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
56.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
55.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
55.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
55.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
55.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
55.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
54.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
54.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
54.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
54.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
54.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
53.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
53.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
53.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
53.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
52.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
52.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
52.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
52.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
51.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
51.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
51.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
51.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
51.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
50.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
50.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
50.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
50.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
50.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
49.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
49.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
49.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
49.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
48.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
48.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
48.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
48.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
48.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
48.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
48.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
48.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
48.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
48.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
48.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
47.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
47.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
47.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
47.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
47.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
47.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
47.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
46.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
46.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
46.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
46.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
46.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
46.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
45.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
45.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
45.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
45.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
44.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
44.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
44.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
44.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
44.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
44.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
43.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
43.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
43.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
43.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
43.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
43.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
43.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
43.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
43.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
42.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
42.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
42.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
42.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
42.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
42.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
42.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
42.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
42.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
42.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
41.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
41.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
41.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
41.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
41.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
41.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
41.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
41.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
41.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
41.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
41.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
41.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
41.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
41.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
41.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
40.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
40.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
40.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
40.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
40.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
40.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
40.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
40.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
40.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
40.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
40.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
40.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
40.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
40.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
40.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
39.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
39.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
39.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
39.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
39.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
39.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
38.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
38.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
38.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
38.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
38.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
38.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
38.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
38.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
38.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
38.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
37.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
37.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
37.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
37.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
37.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
37.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
37.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
37.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
37.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
36.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
36.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
36.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
36.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
36.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
36.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
36.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
36.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
36.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
36.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
36.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
36.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
36.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
36.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
36.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
36.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
35.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
35.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
35.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
35.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
35.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
35.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
35.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
35.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
35.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
35.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
35.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
35.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
35.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
34.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
34.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
34.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
34.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
34.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
34.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
33.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
33.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
33.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
33.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
33.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
33.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
33.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
33.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
33.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
33.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
33.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
33.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
33.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
33.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
33.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
32.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
32.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
32.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
32.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
32.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
32.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
32.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
32.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
32.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
32.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
32.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
32.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
32.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
32.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
32.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
31.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
31.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
31.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
31.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
31.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
31.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
31.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
31.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
31.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
31.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
31.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
31.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
31.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
30.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
30.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
30.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
30.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
30.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
30.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
30.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
30.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
30.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
30.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
30.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
30.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
30.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
30.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
30.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
30.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
30.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
29.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
29.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
29.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
29.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
29.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
29.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
29.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
29.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
29.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
29.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
29.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
29.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
29.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
29.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
29.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
29.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
28.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
28.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
28.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
28.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
28.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
28.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
28.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
28.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
28.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
28.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
28.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
28.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
28.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
28.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
28.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
27.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
27.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
27.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
27.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
27.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
27.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
27.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
27.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
27.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
27.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
27.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
27.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
26.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
26.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
26.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
26.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
26.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
26.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
26.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
26.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
26.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
26.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
26.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
26.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
26.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
26.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
26.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
26.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
26.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
26.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
26.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
26.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
26.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
26.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
25.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
25.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
25.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
25.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
25.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
25.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
25.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
25.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
25.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
25.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
25.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
25.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
24.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
24.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
24.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
24.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
24.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
24.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
24.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
24.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
24.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
24.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
24.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
24.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
24.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
24.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
23.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
23.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
23.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
23.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
23.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
23.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
23.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
23.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
23.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
23.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
23.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
23.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
22.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
22.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
22.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
22.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
22.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
22.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
22.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
22.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
22.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
22.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
22.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
22.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
22.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
22.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
22.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
22.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
21.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
21.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
21.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
21.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
21.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
21.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
21.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
21.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
21.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
21.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
21.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
20.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
20.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
20.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
20.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
20.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
20.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
20.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
20.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
20.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
20.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
19.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
19.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
19.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
19.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
19.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
19.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
19.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
18.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
18.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
18.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
18.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
18.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
18.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
18.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
18.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
18.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
18.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
18.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
18.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
18.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
17.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
17.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
17.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
17.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
17.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
17.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
17.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
16.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
16.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
16.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
16.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
16.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
16.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
16.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
16.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
16.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
15.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
15.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
15.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
15.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
14.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
14.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
14.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
14.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
14.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
13.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
13.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
12.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
12.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
11.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
11.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
10.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
10.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
10.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
9.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
9.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
9.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
9.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
6.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
6.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
2.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.5
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.
PDGFRA 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
8.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
50.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
33.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
25.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
23.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
23.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
20.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
19.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
19.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
19.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
17.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
16.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
15.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
15.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
15.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
15.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
14.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
13.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
12.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
12.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
12.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
12.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
11.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
11.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
11.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
10.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
10.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
10.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
10.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
10.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
10.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
9.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
9.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
9.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
8.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
8.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
8.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
8.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
8.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
8.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
7.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
7.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
7.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
7.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
7.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
6.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
6.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
6.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
6.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
6.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
6.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
6.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
6.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
6.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
6.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
5.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
5.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
5.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
4.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
4.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
4.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
4.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
4.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
3.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
3.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
3.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
3.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
3.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
3.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
2.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
2.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
2.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
2.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
2.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
2.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
2.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
2.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
2.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
2.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
1.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
PDGFRA 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
37.9
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
129.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
97.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
97.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
92.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
86.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
85.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
83.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
78.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
77.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
76.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
75.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
75.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
72.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
71.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
70.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
65.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
63.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
63.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
63.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
62.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
62.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
62.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
61.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
60.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
59.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
58.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
57.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
57.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
56.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
56.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
56.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
55.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
55.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
54.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
53.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
52.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
52.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
52.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
51.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
51.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
51.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
50.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
50.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
50.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
49.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
49.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
49.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
48.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
48.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
47.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
47.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
47.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
47.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
46.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
46.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
46.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
46.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
46.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
45.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
45.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
44.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
44.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
44.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
43.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
42.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
41.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
41.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
41.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
41.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
40.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
40.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
40.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
40.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
40.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
40.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
39.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
39.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
38.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
38.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
38.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
37.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
37.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
37.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
37.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
37.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
37.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
37.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
37.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
36.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
36.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
35.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
35.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
34.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
34.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
34.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
34.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
33.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
33.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
33.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
33.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
33.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
33.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
32.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
32.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
32.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
32.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
32.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
32.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
31.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
31.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
31.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
31.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
31.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
31.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
30.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
30.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
30.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
29.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
29.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
29.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
29.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
29.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
29.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
29.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
29.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
29.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
29.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
28.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
28.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
28.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
28.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
28.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
28.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
28.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
27.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
27.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
27.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
27.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
27.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
26.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
26.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
25.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
25.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
25.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
25.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
25.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
25.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
25.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
25.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
24.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
24.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
24.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
24.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
24.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
24.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
23.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
23.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
23.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
23.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
23.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
23.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
22.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
22.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
22.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
22.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
21.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
20.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
20.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
20.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
19.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
19.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
19.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
19.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
19.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
19.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
18.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
18.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
18.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
18.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
17.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
16.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
15.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
15.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
15.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
15.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
15.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
15.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
14.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
14.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
14.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
13.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
12.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
12.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
11.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
11.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
9.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
7.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
4.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2400046-1d25-429d-a821-6040a6
Tumor
1.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
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Normal
0.3
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Tumor
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
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Normal
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
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Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
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Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
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Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
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Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
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Normal
0.1
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Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
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Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
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Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
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Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
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Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
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Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
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Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
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Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
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Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
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Normal
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
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Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
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Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
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Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
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Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
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Normal
-0.4
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Tumor
-0.5
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Tumor
-0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.6
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.8
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Tumor
-0.9
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-1.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.2
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
