We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LYN 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
17.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
58.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
56.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
55.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
48.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
46.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
46.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
45.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
44.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
43.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
42.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
40.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
39.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
39.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
38.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
38.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
38.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
37.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
36.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
33.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
33.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
33.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
33.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
32.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
32.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
32.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
31.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
31.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
30.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
30.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
30.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
29.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
28.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
28.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
28.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
28.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
27.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
27.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
27.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
27.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
26.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
26.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
26.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
26.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
25.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
25.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
25.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
25.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
24.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
24.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
23.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
23.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
23.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
23.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
23.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
22.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
22.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
22.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
22.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
21.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
21.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
21.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
21.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
21.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
21.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
21.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
21.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
21.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
21.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
20.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
20.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
20.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
20.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
20.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
19.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
19.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
19.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
19.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
19.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
19.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
19.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
18.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
18.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
18.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
18.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
18.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
18.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
18.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
18.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
18.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
18.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
17.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
17.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
17.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
17.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
17.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
17.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
17.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
17.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
17.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
17.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
16.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
16.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
16.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
16.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
16.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
16.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
16.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
16.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
16.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
16.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
15.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
15.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
15.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
15.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
15.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
15.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
15.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
15.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
15.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
15.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
15.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
14.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
14.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
14.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
14.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
14.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
14.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
14.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
14.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
14.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
14.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
14.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
14.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
14.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
14.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
13.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
13.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
13.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
13.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
13.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
13.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
13.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
13.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
13.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
13.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
13.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
13.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
13.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
13.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
13.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
13.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
13.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
13.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
13.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
12.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
12.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
12.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
12.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
12.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
12.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
12.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
12.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
12.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
12.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
12.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
12.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
12.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
11.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
11.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
11.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
11.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
11.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
11.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
11.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
11.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
10.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
10.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
10.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
10.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
10.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
10.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
10.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
10.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
10.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
10.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
10.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
10.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
9.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
9.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
9.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
9.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
9.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
9.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
9.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
9.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
9.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
9.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
9.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
9.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
9.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
9.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
9.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
9.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
9.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
9.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
9.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
8.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
8.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
8.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
8.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
8.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
8.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
8.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
8.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
8.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
8.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
8.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
8.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
8.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
7.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
7.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
7.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
7.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
7.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
7.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
7.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
7.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
7.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
7.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
7.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
6.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
6.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
6.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
6.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
6.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
6.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
6.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
6.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
6.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
5.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
5.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
5.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
5.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
5.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
5.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
4.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
4.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
4.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 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.
LYN 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
50.5
Number of samples
486
Samples
Sample
Description
TPM
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
269.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
179.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
178.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
154.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
143.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
141.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
132.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
132.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
131.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
129.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
125.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
123.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
120.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
119.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
116.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
114.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
114.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
112.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
110.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
110.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
109.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
108.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
107.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
107.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
106.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
103.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
101.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
98.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
98.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
98.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
98.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
96.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
94.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
93.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
93.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
92.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
92.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
91.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
91.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
88.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
88.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
88.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
87.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
87.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
86.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
86.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
86.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
86.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
84.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
84.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
83.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
83.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
83.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
82.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
82.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
81.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
81.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
80.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
80.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
80.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
79.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
79.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
79.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
77.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
75.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
74.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
73.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
73.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
73.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
71.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
71.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
71.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
71.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
70.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
69.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
69.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
69.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
69.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
69.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
69.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
68.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
68.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
68.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
67.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
67.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
66.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
65.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
65.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
65.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
65.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
65.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
65.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
65.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
64.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
64.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
64.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
64.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
64.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
63.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
63.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
63.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
62.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
62.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
62.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
61.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
61.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
61.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
61.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
61.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
60.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
60.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
60.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
60.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
60.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
60.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
60.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
59.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
59.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
59.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
59.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
59.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
59.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
59.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
58.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
57.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
57.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
57.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
57.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
57.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
56.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
56.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
55.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
55.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
55.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
55.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
55.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
55.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
55.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
55.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
55.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
55.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
54.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
54.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
54.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
54.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
53.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
53.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
53.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
53.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
52.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
52.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
52.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
52.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
52.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
52.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
52.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
52.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
52.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
51.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
51.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
51.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
51.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
51.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
51.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
51.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
51.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
51.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
51.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
51.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
50.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
50.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
50.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
50.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
50.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
50.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
50.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
50.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
50.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
50.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
50.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
50.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
50.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
49.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
49.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
49.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
49.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
48.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
48.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
48.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
48.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
48.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
48.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
48.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
48.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
48.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
48.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
48.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
47.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
47.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
47.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
47.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
47.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
47.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
47.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
47.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
47.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
47.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
47.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
47.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
46.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
46.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
46.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
46.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
46.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
46.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
46.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
46.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
46.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
46.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
45.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
45.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
45.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
45.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
45.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
45.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
45.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
45.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
45.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
45.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
45.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
45.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
45.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
44.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
44.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
44.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
44.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
44.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
44.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
44.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
44.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
44.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
44.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
44.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
43.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
43.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
43.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
43.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
43.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
43.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
42.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
42.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
42.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
42.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
42.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
42.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
42.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
42.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
42.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
41.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
41.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
41.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
41.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
41.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
41.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
41.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
41.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
41.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
41.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
40.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
40.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
40.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
40.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
40.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
40.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
40.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
40.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
39.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
39.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
39.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
39.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
39.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
39.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
39.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
39.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
39.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
39.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
39.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
39.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
39.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
39.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
39.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
39.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
39.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
38.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
38.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
38.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
38.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
38.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
38.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
38.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
38.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
38.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
38.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
37.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
37.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
37.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
37.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
37.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
37.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
37.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
37.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
37.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
37.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
37.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
36.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
36.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
36.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
36.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
36.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
36.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
36.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
36.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
36.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
36.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
36.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
36.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
35.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
35.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
35.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
35.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
35.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
35.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
35.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
35.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
35.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
35.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
35.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
35.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
34.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
34.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
34.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
34.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
34.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
34.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
34.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
34.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
34.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
34.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
34.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
33.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
33.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
33.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
33.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
33.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
33.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
33.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
33.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
33.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
33.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
33.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
33.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
32.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
32.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
32.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
32.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
32.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
32.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
31.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
31.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
31.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
31.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
31.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
31.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
31.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
31.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
31.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
31.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
31.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
30.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
30.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
30.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
30.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
30.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
30.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
30.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
30.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
30.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
30.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
30.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
30.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
30.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
30.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
30.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
30.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
30.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
29.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
29.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
29.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
29.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
29.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
29.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
29.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
29.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
28.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
28.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
28.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
28.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
28.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
28.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
28.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
28.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
28.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
28.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
28.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
28.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
28.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
28.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
28.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
27.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
27.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
27.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
27.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
27.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
27.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
27.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
27.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
27.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
27.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
26.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
26.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
26.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
26.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
26.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
26.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
26.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
26.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
26.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
25.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
25.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
25.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
25.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
25.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
25.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
25.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
25.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
25.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
24.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
24.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
23.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
23.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
23.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
23.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
23.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
22.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
22.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
21.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
21.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
20.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
20.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
20.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
19.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
19.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
19.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
19.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
17.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
17.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
16.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
16.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
15.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
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.
LYN is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
16.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
55.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
47.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
44.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
35.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
34.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
33.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
32.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
30.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
30.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
29.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
27.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
24.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
24.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
24.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
24.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
23.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
23.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
22.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
22.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
22.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
22.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
20.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
20.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
19.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
19.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
19.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
19.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
17.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
17.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
17.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
17.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
16.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
16.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
16.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
16.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
15.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
15.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
15.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
15.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
15.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
15.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
15.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
14.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
14.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
13.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
13.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
13.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
13.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
13.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
13.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
13.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
12.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
12.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
12.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
12.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
11.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
11.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
11.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
11.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
11.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
11.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
11.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
11.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
11.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
11.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
10.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
10.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
10.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
10.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
10.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
10.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
9.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
8.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
8.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
8.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
8.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
8.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
7.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
7.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
5.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
5.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
4.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
4.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
3.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LYN 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
40.8
Number of samples
207
Samples
Sample
Description
TPM
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
127.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
127.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
121.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
91.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
87.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
85.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
77.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
76.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
73.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
72.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
70.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
67.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
67.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
65.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
64.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
63.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
62.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
61.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
60.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
59.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
59.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
58.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
57.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
57.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
56.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
56.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
55.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
54.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
53.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
52.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
51.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
51.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
51.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
51.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
51.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
50.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
50.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
50.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
49.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
49.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
49.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
49.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
49.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
47.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
47.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
47.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
47.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
46.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
46.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
46.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
45.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
45.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
44.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
44.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
44.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
44.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
44.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
43.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
43.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
43.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
43.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
43.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
43.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
43.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
43.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
42.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
42.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
42.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
42.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
42.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
41.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
41.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
41.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
41.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
41.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
40.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
40.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
40.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
40.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
40.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
39.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
39.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
39.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
39.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
39.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
39.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
39.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
39.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
39.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
39.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
39.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
38.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
38.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
38.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
38.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
38.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
38.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
38.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
38.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
38.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
37.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
37.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
37.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
37.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
37.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
37.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
37.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
37.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
37.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
36.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
35.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
35.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
35.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
35.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
35.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
35.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
35.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
35.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
35.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
34.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
34.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
34.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
34.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
34.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
34.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
34.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
34.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
34.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
33.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
33.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
33.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
32.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
32.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
32.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
32.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
32.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
32.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
32.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
31.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
31.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
31.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
31.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
31.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
31.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
31.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
31.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
30.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
30.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
30.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
30.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
30.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
30.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
30.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
30.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
30.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
30.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
30.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
30.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
29.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
29.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
29.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
29.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
29.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
29.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
29.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
28.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
28.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
28.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
28.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
27.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
27.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
27.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
27.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
27.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
26.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
26.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
26.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
26.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
26.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
26.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
26.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
25.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
25.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
25.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
25.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
24.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
24.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
24.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
23.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
22.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
21.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
20.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
20.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
19.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
19.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
18.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
18.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
17.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
16.8
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
1.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
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
