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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MYOF 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
17.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
124.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
66.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
63.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
59.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
57.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
51.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
50.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
45.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
44.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
44.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
44.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
43.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
43.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
41.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
39.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
39.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
38.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
38.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
37.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
37.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
36.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
36.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
34.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
33.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
33.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
32.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
32.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
32.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
32.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
32.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
31.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
31.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
31.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
31.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
31.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
30.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
30.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
30.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
30.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
29.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
29.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
28.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
27.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
27.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
27.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
26.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
26.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
26.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
26.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
26.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
25.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
25.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
25.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
25.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
25.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
25.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
24.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
24.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
24.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
24.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
24.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
24.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
24.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
23.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
23.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
23.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
23.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
23.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
23.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
22.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
22.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
22.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
22.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
22.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
22.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
22.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
21.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
21.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
21.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
21.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
20.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
20.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
20.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
20.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
20.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
19.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
19.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
19.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
19.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
19.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
19.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
18.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
18.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
18.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
18.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
18.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
18.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
18.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
18.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
18.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
17.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
17.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
17.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
17.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
17.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
17.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
17.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
17.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
17.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
17.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
16.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
16.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
16.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
16.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
16.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
16.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
15.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
15.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
15.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
14.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
14.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
14.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
14.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
14.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
13.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
13.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
13.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
13.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
13.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
13.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
13.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
13.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
13.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
13.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
13.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
12.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
12.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
12.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
12.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
12.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
12.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
12.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
12.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
12.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
12.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
11.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
11.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
11.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
11.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
11.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
11.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
11.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
11.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
11.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
11.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
10.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
10.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
10.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
10.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
10.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
10.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
10.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
10.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
9.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
9.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
9.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
9.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
9.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
9.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
9.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
9.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
9.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
8.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
8.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
8.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
8.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
8.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
8.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
8.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
8.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
8.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
8.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
8.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
7.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
7.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
7.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
7.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
7.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
7.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
7.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
7.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
7.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
7.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
6.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
6.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
6.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
6.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
6.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
6.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
6.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
6.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
6.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
6.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
6.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
6.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
6.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
6.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
6.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
5.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
5.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
5.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
5.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
5.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
5.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
5.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
5.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
5.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
5.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
5.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
5.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
5.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
4.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
4.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
4.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
4.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
4.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
4.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
4.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
4.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
4.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
4.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
4.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
3.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
3.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
3.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
3.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
3.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
2.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
2.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 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.
MYOF 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
46.2
Number of samples
486
Samples
Sample
Description
TPM
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
314.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
191.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
182.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
132.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
119.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
117.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
112.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
105.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
104.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
99.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
99.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
99.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
97.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
94.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
94.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
92.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
92.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
92.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
91.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
91.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
89.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
88.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
88.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
87.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
87.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
86.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
85.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
85.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
85.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
83.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
83.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
82.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
82.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
81.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
79.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
78.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
78.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
77.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
75.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
74.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
74.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
73.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
72.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
72.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
72.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
72.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
72.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
71.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
71.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
71.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
71.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
70.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
70.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
70.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
70.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
70.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
70.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
68.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
68.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
68.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
68.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
68.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
68.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
68.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
67.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
67.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
67.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
67.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
67.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
67.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
67.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
67.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
66.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
66.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
65.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
65.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
65.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
65.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
65.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
64.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
64.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
64.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
64.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
64.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
64.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
63.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
63.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
63.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
63.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
63.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
62.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
61.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
61.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
61.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
61.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
61.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
60.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
60.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
60.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
60.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
60.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
60.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
60.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
59.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
59.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
59.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
58.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
58.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
58.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
57.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
57.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
57.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
57.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
57.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
56.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
56.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
56.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
56.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
56.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
56.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
56.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
55.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
55.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
55.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
55.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
55.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
55.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
54.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
54.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
54.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
54.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
54.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
53.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
53.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
53.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
53.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
53.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
53.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
53.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
53.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
53.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
53.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
52.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
52.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
52.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
51.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
51.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
51.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
51.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
51.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
51.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
51.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
51.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
51.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
51.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
51.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
51.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
51.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
51.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
50.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
50.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
50.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
50.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
50.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
50.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
50.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
50.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
50.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
50.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
49.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
49.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
49.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
49.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
48.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
48.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
48.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
48.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
48.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
48.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
47.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
47.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
47.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
47.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
47.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
47.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
47.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
47.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
47.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
46.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
46.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
46.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
46.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
46.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
46.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
46.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
46.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
46.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
46.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
46.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
45.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
45.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
45.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
45.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
45.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
45.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
45.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
45.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
45.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
44.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
44.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
44.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
44.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
44.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
44.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
44.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
44.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
44.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
44.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
44.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
43.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
43.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
43.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
43.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
43.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
43.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
43.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
43.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
43.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
43.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
43.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
43.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
42.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
42.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
42.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
42.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
42.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
42.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
42.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
41.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
41.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
41.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
41.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
41.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
41.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
41.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
41.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
41.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
41.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
41.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
40.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
40.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
40.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
40.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
40.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
40.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
40.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
40.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
40.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
40.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
39.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
39.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
39.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
39.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
39.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
38.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
38.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
38.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
38.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
38.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
38.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
38.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
38.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
38.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
38.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
38.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
38.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
37.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
37.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
37.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
37.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
37.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
37.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
37.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
37.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
37.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
37.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
36.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
36.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
36.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
36.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
36.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
36.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
36.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
36.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
36.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
36.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
36.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
36.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
35.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
35.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
35.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
35.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
35.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
35.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
35.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
35.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
35.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
35.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
35.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
35.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
35.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
35.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
35.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
34.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
34.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
34.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
34.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
34.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
34.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
34.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
34.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
34.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
34.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
34.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
34.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
34.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
34.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
34.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
33.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
33.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
33.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
33.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
33.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
32.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
32.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
32.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
32.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
32.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
32.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
32.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
32.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
32.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
32.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
32.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
32.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
31.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
31.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
31.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
31.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
31.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
31.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
31.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
31.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
31.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
30.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
30.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
30.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
30.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
30.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
30.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
30.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
30.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
30.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
30.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
30.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
30.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
30.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
29.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
29.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
29.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
29.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
29.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
29.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
29.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
29.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
29.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
29.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
29.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
28.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
28.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
28.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
28.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
28.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
28.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
28.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
28.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
27.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
27.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
27.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
27.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
27.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
27.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
27.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
26.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
26.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
26.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
26.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
26.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
26.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
26.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
26.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
26.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
26.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
25.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
25.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
25.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
25.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
25.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
25.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
25.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
24.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
24.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
24.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
24.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
24.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
24.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
23.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
23.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
23.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
23.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
23.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
23.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
22.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
22.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
22.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
22.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
22.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
21.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
21.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
21.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
21.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
21.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
21.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
20.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
20.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
20.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
20.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
20.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
20.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
20.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
20.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
20.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
20.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
19.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
19.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
19.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
18.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
18.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
17.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
17.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
17.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
17.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
16.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
16.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
16.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
16.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
16.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
15.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
15.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
14.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
14.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
14.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
12.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
12.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
12.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
10.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
7.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
7.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MYOF 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
16.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
62.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
53.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
47.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
46.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
43.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
41.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
37.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
37.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
33.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
29.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
28.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
28.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
26.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
24.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
24.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
23.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
22.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
22.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
22.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
22.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
22.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
21.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
21.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
20.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
20.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
20.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
20.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
19.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
18.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
17.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
17.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
16.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
15.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
14.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
14.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
14.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
14.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
14.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
14.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
13.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
13.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
13.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
13.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
13.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
13.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
12.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
12.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
12.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
12.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
12.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
12.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
11.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
11.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
11.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
10.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
10.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
10.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
10.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
10.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
10.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
9.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
9.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
9.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
9.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
9.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
8.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
8.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
8.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
8.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
8.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
7.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
7.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
7.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
7.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
5.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
4.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
4.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
4.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
3.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
3.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MYOF 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
42.9
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
260.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
113.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
111.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
106.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
99.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
99.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
94.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
84.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
82.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
78.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
77.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
74.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
71.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
71.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
71.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
70.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
70.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
69.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
68.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
68.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
68.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
68.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
66.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
66.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
66.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
64.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
63.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
62.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
60.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
60.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
59.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
58.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
57.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
57.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
56.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
56.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
55.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
55.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
55.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
54.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
54.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
54.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
54.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
53.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
53.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
52.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
52.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
51.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
51.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
51.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
51.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
51.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
50.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
50.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
50.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
50.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
50.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
49.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
49.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
49.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
49.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
49.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
48.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
48.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
48.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
48.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
47.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
47.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
47.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
46.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
46.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
46.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
46.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
46.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
46.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
46.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
45.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
45.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
45.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
44.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
44.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
44.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
43.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
42.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
42.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
42.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
42.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
42.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
41.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
41.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
40.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
40.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
39.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
39.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
39.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
39.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
39.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
39.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
38.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
38.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
38.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
38.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
38.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
38.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
38.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
38.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
38.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
37.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
37.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
37.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
36.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
36.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
36.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
36.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
36.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
35.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
35.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
35.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
35.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
34.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
33.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
33.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
33.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
33.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
32.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
32.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
32.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
32.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
32.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
32.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
32.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
31.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
31.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
31.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
31.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
30.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
30.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
29.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
29.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
29.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
29.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
29.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
29.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
28.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
28.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
28.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
28.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
28.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
27.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
27.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
27.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
27.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
27.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
26.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
26.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
26.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
26.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
25.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
25.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
25.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
25.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
25.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
25.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
25.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
24.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
24.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
23.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
23.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
23.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
23.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
23.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
23.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
23.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
22.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
22.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
22.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
22.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
22.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
22.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
21.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
21.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
21.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
21.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
20.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
20.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
19.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
19.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
19.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
19.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
17.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
17.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
15.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
14.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
12.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
6.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.7
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.9
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.9
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.8
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.7
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.7
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.8
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.9
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-1.0
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
