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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.
SORBS1 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
15.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
165.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
130.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
80.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
75.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
65.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
64.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
57.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
45.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
44.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
43.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
41.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
40.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
40.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
38.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
37.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
37.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
37.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
36.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
36.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
35.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
34.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
33.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
32.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
32.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
32.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
32.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
31.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
31.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
31.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
31.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
30.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
30.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
30.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
29.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
28.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
27.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
27.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
27.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
27.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
27.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
27.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
26.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
26.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
25.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
25.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
25.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
25.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
25.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
24.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
24.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
24.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
24.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
23.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
23.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
22.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
22.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
22.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
22.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
21.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
21.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
20.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
20.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
20.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
20.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
19.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
19.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
19.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
19.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
18.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
18.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
18.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
18.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
18.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
18.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
17.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
17.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
17.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
17.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
17.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
17.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
16.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
16.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
15.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
15.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
15.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
14.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
14.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
14.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
14.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
14.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
14.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
14.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
14.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
14.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
13.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
13.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
13.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
13.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
13.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
12.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
12.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
12.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
12.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
12.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
12.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
12.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
11.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
11.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
11.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
11.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
11.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
11.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
11.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
11.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
11.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
11.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
11.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
11.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
11.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
11.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
11.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
11.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
10.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
10.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
10.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
10.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
10.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
10.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
10.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
10.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
10.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
9.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
9.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
9.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
9.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
9.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
9.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
9.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
9.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
9.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
9.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
9.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
8.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
8.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
8.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
8.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
8.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
8.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
8.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
8.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
8.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
8.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
8.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
8.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
8.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
7.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
7.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
7.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
7.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
7.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
7.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
7.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
7.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
7.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
7.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
7.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
7.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
7.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
7.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
7.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
7.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
6.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
6.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
6.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
6.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
6.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
6.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
6.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
6.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
6.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
6.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
6.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
6.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
6.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
6.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
6.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
6.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
5.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
5.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
5.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
5.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
5.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
5.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
5.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
5.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
5.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
5.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
5.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
5.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
5.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
5.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
5.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
4.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
4.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
4.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
3.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
3.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
3.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
3.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
3.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
3.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
3.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
3.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
3.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
3.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
3.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
3.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
3.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
3.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
3.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
3.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
2.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
2.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
2.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
2.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
2.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
2.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
2.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
2.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
2.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
2.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
2.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
2.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 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.
SORBS1 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
31.0
Number of samples
486
Samples
Sample
Description
TPM
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
183.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
166.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
133.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
125.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
120.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
117.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
116.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
111.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
99.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
97.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
94.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
93.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
92.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
87.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
87.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
86.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
85.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
84.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
83.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
82.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
81.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
81.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
81.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
79.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
79.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
77.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
77.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
75.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
74.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
73.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
73.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
72.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
72.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
71.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
70.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
69.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
67.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
67.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
67.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
66.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
65.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
64.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
64.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
60.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
60.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
59.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
58.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
58.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
57.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
55.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
55.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
55.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
55.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
55.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
55.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
54.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
54.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
54.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
54.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
54.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
53.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
53.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
52.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
52.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
51.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
51.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
51.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
50.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
50.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
50.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
50.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
50.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
49.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
49.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
49.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
49.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
48.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
48.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
48.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
48.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
47.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
47.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
47.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
47.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
46.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
46.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
46.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
46.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
45.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
45.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
45.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
45.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
44.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
44.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
44.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
44.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
44.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
43.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
43.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
43.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
42.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
42.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
42.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
42.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
42.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
42.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
41.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
41.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
41.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
41.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
40.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
40.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
40.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
40.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
40.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
40.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
40.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
40.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
40.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
40.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
39.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
39.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
39.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
39.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
39.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
39.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
39.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
39.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
38.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
38.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
38.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
38.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
37.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
37.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
37.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
37.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
37.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
37.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
36.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
36.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
35.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
35.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
34.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
34.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
34.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
34.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
34.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
33.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
33.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
33.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
33.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
33.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
33.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
33.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
33.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
33.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
33.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
33.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
33.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
32.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
32.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
32.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
32.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
32.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
32.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
32.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
32.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
31.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
31.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
31.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
31.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
31.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
31.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
31.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
30.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
30.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
30.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
30.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
30.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
30.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
30.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
30.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
29.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
29.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
29.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
29.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
29.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
29.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
29.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
29.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
29.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
29.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
29.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
28.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
28.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
28.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
28.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
27.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
27.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
27.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
27.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
27.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
26.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
26.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
26.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
26.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
26.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
26.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
26.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
26.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
26.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
26.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
25.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
25.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
25.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
25.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
25.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
25.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
25.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
25.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
25.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
25.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
24.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
24.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
24.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
24.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
24.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
24.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
24.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
24.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
24.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
24.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
24.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
24.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
23.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
23.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
23.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
23.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
23.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
23.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
23.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
23.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
23.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
23.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
23.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
23.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
23.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
23.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
23.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
23.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
23.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
23.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
22.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
22.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
22.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
22.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
22.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
22.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
22.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
22.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
22.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
22.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
22.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
22.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
22.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
22.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
22.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
22.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
21.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
21.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
21.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
21.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
21.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
21.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
21.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
21.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
21.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
21.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
21.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
20.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
20.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
20.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
20.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
20.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
20.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
20.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
20.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
20.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
20.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
20.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
20.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
20.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
19.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
19.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
19.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
19.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
19.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
19.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
19.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
19.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
19.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
19.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
19.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
19.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
19.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
19.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
18.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
18.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
18.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
18.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
18.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
18.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
18.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
18.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
18.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
18.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
18.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
18.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
18.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
18.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
18.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
17.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
17.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
17.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
17.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
17.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
17.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
17.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
17.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
17.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
17.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
17.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
17.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
17.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
17.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
17.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
17.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
17.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
17.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
17.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
17.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
17.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
17.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
17.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
17.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
17.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
16.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
16.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
16.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
16.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
16.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
16.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
16.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
16.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
16.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
16.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
16.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
16.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
16.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
16.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
16.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
16.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
16.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
16.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
16.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
15.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
15.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
15.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
15.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
15.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
15.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
15.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
15.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
15.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
15.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
15.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
15.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
14.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
14.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
14.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
14.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
14.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
14.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
14.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
14.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
14.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
14.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
14.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
13.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
13.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
13.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
13.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
13.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
13.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
13.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
13.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
13.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
13.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
13.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
13.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
12.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
12.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
12.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
12.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
12.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
12.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
12.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
12.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
12.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
12.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
12.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
11.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
11.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
11.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
11.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
11.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
11.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
11.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
11.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
11.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
10.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
10.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
10.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
10.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
10.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
10.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
10.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
10.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
10.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
10.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
10.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
10.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
10.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
10.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
9.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
9.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
9.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
9.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
9.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
9.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
9.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
9.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
9.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
9.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
9.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
9.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
8.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
8.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
8.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
8.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
8.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
8.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
8.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
8.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
8.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
7.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
7.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
7.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
7.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
7.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
7.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
7.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
6.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
6.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
6.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
6.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
5.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
5.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
5.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
5.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
5.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
5.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
5.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
4.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
4.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
4.3
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.
SORBS1 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
18.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
74.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
56.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
49.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
49.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
45.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
41.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
36.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
34.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
33.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
32.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
31.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
31.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
31.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
31.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
30.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
30.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
28.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
28.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
28.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
26.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
25.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
25.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
25.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
24.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
24.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
22.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
21.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
21.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
21.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
21.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
21.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
21.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
20.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
19.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
19.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
18.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
18.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
18.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
17.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
16.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
15.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
15.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
15.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
14.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
14.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
14.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
14.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
13.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
12.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
11.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
11.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
11.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
11.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
10.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
10.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
10.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
10.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
10.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
10.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
9.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
9.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
9.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
8.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
8.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
8.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
8.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
8.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
7.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
7.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
7.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
7.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
7.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
6.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
6.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
6.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
5.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
5.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
5.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
5.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
5.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
4.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
3.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
3.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SORBS1 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
39.1
Number of samples
207
Samples
Sample
Description
TPM
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
234.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
189.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
152.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
151.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
147.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
144.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
142.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
130.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
124.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
109.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
107.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
97.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
96.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
91.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
90.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
87.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
81.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
79.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
79.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
78.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
77.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
76.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
73.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
72.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
72.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
70.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
69.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
68.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
63.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
62.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
59.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
59.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
58.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
57.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
53.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
53.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
52.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
51.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
50.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
50.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
50.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
49.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
49.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
49.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
48.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
47.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
47.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
47.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
46.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
46.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
45.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
45.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
44.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
44.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
44.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
44.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
44.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
44.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
43.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
42.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
42.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
42.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
42.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
42.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
41.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
40.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
40.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
40.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
40.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
39.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
39.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
39.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
39.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
38.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
38.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
38.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
37.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
37.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
37.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
36.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
36.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
36.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
35.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
35.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
34.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
34.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
33.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
33.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
33.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
33.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
33.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
33.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
32.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
32.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
32.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
31.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
30.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
30.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
29.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
29.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
28.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
28.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
28.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
28.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
28.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
28.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
28.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
27.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
27.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
27.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
27.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
26.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
26.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
26.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
25.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
25.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
25.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
25.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
25.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
25.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
24.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
24.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
24.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
24.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
23.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
23.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
23.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
23.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
22.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
22.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
22.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
22.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
22.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
22.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
22.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
21.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
21.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
21.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
21.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
21.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
21.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
21.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
20.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
20.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
20.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
20.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
20.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
20.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
19.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
19.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
19.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
19.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
19.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
18.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
18.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
17.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
17.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
17.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
17.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
16.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
16.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
16.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
16.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
16.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
15.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
15.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
15.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
15.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
15.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
15.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
14.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
14.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
13.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
13.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
13.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
13.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
13.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
13.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
13.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
13.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
13.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
12.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
12.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
12.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
12.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
11.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
11.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
11.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
11.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
10.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
10.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
9.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
9.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
9.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
9.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
8.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
8.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
8.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
6.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
6.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
6.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
6.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
2.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
2.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
2.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
2.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.8
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
1.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
1.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
1.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
1.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.3
1c070992-647b-4173-a481-904c4d_D2
Normal
1.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
1.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
1.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
1.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
1.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
1.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
1.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
1.1
41a04113-2061-4923-bca5-da586c_D2
Normal
1.1
82157a70-12f1-4913-b548-d98881_D2
Normal
1.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
1.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
1.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
1.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
1.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
1.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
1.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
1.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
1.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
1.0
963fc8db-f412-4427-a198-23f660_D2
Normal
1.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.9
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.9
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.9
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.9
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.9
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.9
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.9
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.8
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.8
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.8
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.8
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.8
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.8
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.7
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.7
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.7
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.7
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.7
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.8
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.8
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.8
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.8
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.8
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.8
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.8
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.9
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.9
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.9
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.9
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-1.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-1.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-1.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-1.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-1.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-1.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-1.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-1.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-1.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-1.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-1.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-1.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-1.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-1.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-1.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-1.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-1.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.9
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.9
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.9
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.9
43192517-085e-450e-9481-0a6713_D3
Tumor
-2.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-2.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-2.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-2.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-2.4
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
