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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.
NES 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
10.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
57.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
49.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
49.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
46.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
43.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
43.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
42.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
37.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
37.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
35.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
35.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
31.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
29.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
28.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
28.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
24.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
24.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
24.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
23.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
22.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
21.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
20.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
20.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
17.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
17.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
17.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
17.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
17.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
17.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
16.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
16.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
16.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
16.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
16.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
16.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
16.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
16.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
15.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
15.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
15.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
15.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
15.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
15.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
15.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
15.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
14.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
14.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
14.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
14.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
14.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
14.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
14.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
14.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
14.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
13.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
13.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
13.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
13.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
13.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
13.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
13.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
13.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
13.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
12.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
12.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
12.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
12.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
12.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
12.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
12.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
12.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
12.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
12.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
12.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
12.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
12.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
12.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
11.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
11.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
11.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
11.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
11.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
11.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
11.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
11.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
11.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
11.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
11.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
11.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
10.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
10.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
10.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
10.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
10.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
10.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
10.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
10.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
10.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
10.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
10.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
10.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
9.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
9.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
9.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
9.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
9.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
9.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
9.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
9.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
9.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
9.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
9.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
9.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
8.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
8.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
8.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
8.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
8.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
8.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
8.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
8.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
8.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
8.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
8.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
8.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
8.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
8.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
8.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
8.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
8.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
8.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
7.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
7.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
7.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
7.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
7.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
7.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
7.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
7.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
7.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
7.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
7.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
7.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
7.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
7.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
7.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
7.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
7.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
6.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
6.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
6.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
6.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
6.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
6.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
6.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
6.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
6.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
6.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
6.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
5.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
5.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
5.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
5.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
5.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
5.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
5.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
5.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
5.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
5.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
5.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
5.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
5.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
4.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
4.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
4.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
4.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
4.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
4.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
4.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
4.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
4.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
4.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
4.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
4.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
4.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
4.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
4.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
4.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
4.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
4.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
4.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
4.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
4.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
3.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
3.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
3.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
3.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
3.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
3.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
3.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
3.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
3.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
3.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
3.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
3.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
3.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
3.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
3.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
3.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
3.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
2.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
2.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
2.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
2.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
2.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
2.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
2.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
1.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
1.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
1.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 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.
NES 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
9.2
Number of samples
486
Samples
Sample
Description
TPM
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
67.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
60.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
56.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
39.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
37.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
34.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
34.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
34.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
33.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
33.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
33.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
32.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
32.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
29.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
28.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
24.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
24.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
24.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
24.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
23.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
23.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
23.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
23.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
22.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
22.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
21.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
21.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
21.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
20.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
20.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
20.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
20.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
20.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
20.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
20.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
19.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
19.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
19.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
19.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
18.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
18.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
18.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
18.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
18.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
18.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
17.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
17.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
17.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
16.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
16.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
16.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
16.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
16.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
16.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
15.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
15.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
15.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
15.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
15.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
15.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
14.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
14.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
14.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
14.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
14.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
14.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
13.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
13.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
13.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
13.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
13.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
13.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
13.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
13.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
13.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
13.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
13.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
13.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
13.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
13.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
13.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
13.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
13.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
12.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
12.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
12.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
12.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
12.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
12.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
12.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
12.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
11.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
11.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
11.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
11.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
11.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
11.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
11.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
11.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
11.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
11.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
11.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
11.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
11.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
10.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
10.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
10.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
10.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
10.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
10.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
10.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
10.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
10.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
10.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
10.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
10.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
10.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
10.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
10.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
10.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
10.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
10.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
10.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
10.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
10.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
10.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
10.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
10.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
9.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
9.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
9.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
9.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
9.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
9.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
9.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
9.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
9.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
9.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
9.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
9.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
9.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
9.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
9.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
9.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
9.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
9.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
9.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
9.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
9.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
9.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
9.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
9.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
8.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
8.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
8.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
8.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
8.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
8.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
8.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
8.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
8.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
8.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
8.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
8.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
8.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
8.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
8.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
8.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
8.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
8.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
8.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
8.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
8.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
8.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
8.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
8.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
8.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
8.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
8.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
8.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
8.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
8.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
8.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
8.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
8.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
8.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
8.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
8.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
8.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
8.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
8.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
8.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
8.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
8.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
8.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
8.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
8.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
8.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
8.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
8.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
8.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
8.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
8.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
8.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
8.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
8.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
8.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
8.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
7.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
7.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
7.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
7.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
7.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
7.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
7.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
7.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
7.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
7.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
7.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
7.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
7.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
7.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
7.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
7.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
7.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
7.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
7.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
7.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
7.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
7.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
7.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
7.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
7.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
7.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
7.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
7.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
7.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
7.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
7.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
7.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
7.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
7.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
7.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
7.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
7.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
7.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
7.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
7.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
7.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
7.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
7.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
7.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
7.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
7.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
7.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
7.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
7.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
6.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
6.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
6.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
6.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
6.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
6.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
6.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
6.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
6.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
6.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
6.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
6.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
6.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
6.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
6.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
6.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
6.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
6.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
6.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
6.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
6.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
6.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
6.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
6.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
6.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
6.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
6.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
6.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
6.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
6.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
6.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
6.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
6.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
6.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
6.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
6.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
6.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
6.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
6.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
6.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
6.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
6.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
6.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
6.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
6.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
6.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
6.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
6.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
6.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
6.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
6.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
6.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
6.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
6.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
6.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
6.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
6.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
6.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
6.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
6.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
6.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
6.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
6.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
6.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
6.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
6.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
6.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
6.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
5.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
5.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
5.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
5.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
5.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
5.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
5.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
5.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
5.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
5.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
5.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
5.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
5.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
5.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
5.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
5.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
5.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
5.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
5.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
5.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
5.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
5.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
5.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
5.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
5.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
5.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
5.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
5.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
5.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
5.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
5.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
5.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
5.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
5.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
5.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
5.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
5.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
5.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
5.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
5.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
5.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
5.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
5.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
5.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
5.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
5.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
5.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
5.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
5.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
5.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
5.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
5.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
5.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
5.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
5.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
5.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
5.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
4.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
4.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
4.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
4.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
4.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
4.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
4.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
4.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
4.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
4.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
4.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
4.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
4.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
4.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
4.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
4.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
4.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
4.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
4.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
4.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
4.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
4.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
4.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
4.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
4.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
4.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
4.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
4.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
4.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
4.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
4.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
4.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
4.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
4.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
4.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
4.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
4.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
4.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
4.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
4.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
4.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
4.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
4.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
4.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
4.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
4.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
4.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
4.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
4.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
4.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
3.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
3.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
3.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
3.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
3.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
3.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
3.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
3.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
3.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
3.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
3.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
3.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
3.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
3.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
3.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
3.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
3.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
3.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
3.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
3.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
3.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
3.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
3.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
3.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
3.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
3.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
3.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
3.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
3.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
3.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
3.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
3.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
3.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
3.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
3.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
3.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
3.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
3.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
3.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
2.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
2.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
2.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
2.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
2.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
2.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
2.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
2.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
2.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
2.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
2.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
2.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
1.8
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.
NES 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
13.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
65.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
64.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
42.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
41.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
35.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
32.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
32.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
30.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
30.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
30.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
28.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
23.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
23.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
23.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
21.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
21.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
19.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
19.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
18.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
18.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
18.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
17.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
17.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
16.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
14.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
14.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
14.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
14.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
13.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
13.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
12.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
12.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
12.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
12.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
11.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
11.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
11.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
11.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
11.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
11.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
10.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
10.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
10.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
10.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
10.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
10.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
9.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
9.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
9.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
9.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
9.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
9.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
9.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
8.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
8.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
8.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
7.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
7.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
7.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
7.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
7.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
7.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
6.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
6.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
6.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
6.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
6.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
6.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
5.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
5.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
5.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
5.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
4.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
4.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
4.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
4.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
4.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
3.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
3.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
3.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
3.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
2.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 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.
NES 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
11.3
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
84.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
60.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
55.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
46.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
40.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
39.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
36.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
34.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
29.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
29.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
28.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
27.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
26.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
25.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
25.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
23.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
22.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
21.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
20.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
19.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
18.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
18.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
18.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
17.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
17.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
16.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
16.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
15.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
15.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
15.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
14.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
14.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
14.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
14.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
14.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
14.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
14.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
14.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
14.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
14.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
13.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
13.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
13.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
13.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
13.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
13.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
13.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
13.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
13.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
13.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
12.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
12.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
12.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
12.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
12.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
12.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
12.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
12.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
12.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
12.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
12.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
11.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
11.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
11.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
11.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
11.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
11.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
11.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
11.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
11.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
11.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
11.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
10.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
10.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
10.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
10.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
10.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
10.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
10.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
10.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
10.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
10.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
10.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
10.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
10.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
9.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
9.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
9.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
9.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
9.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
9.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
9.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
9.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
9.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
9.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
9.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
9.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
9.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
8.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
8.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
8.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
8.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
8.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
8.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
8.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
8.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
8.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
8.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
8.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
8.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
8.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
8.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
8.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
8.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
8.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
8.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
8.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
7.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
7.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
7.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
7.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
7.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
7.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
7.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
7.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
7.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
7.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
7.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
7.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
7.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
7.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
7.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
7.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
6.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
6.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
6.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
6.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
6.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
6.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
6.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
6.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
6.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
6.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
6.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
6.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
6.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
6.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
6.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
6.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
6.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
6.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
6.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
6.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
6.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
6.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
5.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
5.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
5.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
5.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
5.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
5.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
5.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
5.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
5.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
5.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
5.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
5.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
5.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
5.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
5.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
5.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
4.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
4.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
4.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
4.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
4.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
4.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
4.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
4.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
4.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
4.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
4.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
4.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
4.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
4.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
3.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
3.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
3.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
3.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
3.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
3.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
3.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
3.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
3.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
3.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
3.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
3.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
2.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
2.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
2.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
2.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
2.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
2.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
1.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
0.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
1c070992-647b-4173-a481-904c4d_D2
Normal
1.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.9
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.8
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.8
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.7
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.7
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
