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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.
MAP7D1 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
16.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
72.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
53.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
50.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
49.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
48.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
41.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
40.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
37.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
36.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
35.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
34.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
34.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
33.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
33.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
33.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
32.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
32.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
31.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
31.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
31.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
31.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
30.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
29.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
29.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
29.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
28.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
28.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
28.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
27.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
26.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
26.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
26.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
25.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
25.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
25.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
25.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
24.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
24.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
24.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
24.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
23.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
23.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
23.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
23.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
23.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
23.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
23.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
23.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
22.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
22.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
22.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
22.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
22.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
22.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
22.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
22.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
22.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
21.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
21.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
21.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
21.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
21.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
21.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
21.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
20.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
20.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
20.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
20.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
20.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
19.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
19.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
19.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
19.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
19.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
19.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
19.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
19.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
19.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
19.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
18.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
18.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
18.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
18.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
18.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
18.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
18.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
18.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
18.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
18.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
17.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
17.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
17.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
17.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
17.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
17.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
17.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
16.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
16.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
16.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
16.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
16.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
16.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
16.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
15.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
15.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
15.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
15.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
15.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
15.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
15.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
15.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
15.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
15.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
15.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
15.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
15.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
15.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
14.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
14.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
14.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
14.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
14.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
14.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
14.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
14.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
14.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
14.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
14.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
14.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
14.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
14.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
14.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
14.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
14.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
13.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
13.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
13.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
13.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
13.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
13.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
13.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
13.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
13.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
13.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
13.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
13.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
12.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
12.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
12.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
12.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
12.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
12.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
12.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
12.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
12.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
12.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
12.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
12.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
12.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
12.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
12.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
11.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
11.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
11.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
11.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
11.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
11.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
11.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
11.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
11.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
11.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
11.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
11.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
11.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
11.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
11.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
11.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
11.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
10.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
10.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
10.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
10.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
10.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
10.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
10.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
10.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
10.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
10.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
10.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
10.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
10.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
10.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
10.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
10.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
9.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
9.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
9.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
9.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
9.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
9.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
9.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
9.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
9.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
9.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
9.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
9.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
8.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
8.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
8.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
8.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
8.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
8.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
8.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
8.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
8.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
8.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
8.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
8.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
8.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
7.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
7.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
7.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
7.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
7.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
7.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
7.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
7.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
6.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
6.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
6.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
6.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
6.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
6.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
6.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
6.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
6.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
5.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
5.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
5.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
5.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
5.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
4.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
4.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
3.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
MAP7D1 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
40.9
Number of samples
486
Samples
Sample
Description
TPM
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
105.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
105.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
100.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
99.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
96.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
91.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
91.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
90.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
88.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
87.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
87.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
84.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
82.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
81.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
79.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
76.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
74.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
74.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
72.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
72.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
70.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
70.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
69.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
69.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
69.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
68.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
68.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
68.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
68.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
67.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
67.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
66.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
66.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
66.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
65.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
65.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
65.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
65.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
65.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
65.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
64.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
64.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
63.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
63.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
63.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
63.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
63.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
63.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
62.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
62.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
62.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
62.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
61.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
61.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
61.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
61.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
60.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
60.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
60.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
60.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
59.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
59.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
59.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
59.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
58.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
58.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
58.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
58.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
57.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
56.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
56.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
56.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
55.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
55.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
55.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
55.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
55.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
55.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
55.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
54.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
54.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
54.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
54.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
54.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
54.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
53.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
53.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
53.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
53.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
52.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
52.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
52.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
51.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
51.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
51.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
51.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
51.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
51.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
51.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
50.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
50.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
50.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
50.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
50.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
50.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
50.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
50.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
50.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
50.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
50.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
49.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
49.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
49.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
49.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
49.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
48.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
48.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
48.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
48.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
48.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
48.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
48.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
48.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
47.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
47.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
47.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
47.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
47.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
47.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
47.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
47.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
47.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
47.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
47.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
47.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
47.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
47.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
46.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
46.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
46.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
46.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
46.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
46.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
46.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
46.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
46.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
46.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
46.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
46.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
46.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
46.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
46.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
46.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
45.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
45.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
45.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
45.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
45.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
45.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
45.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
44.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
44.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
44.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
44.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
44.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
44.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
44.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
44.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
44.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
44.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
44.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
43.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
43.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
43.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
43.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
43.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
43.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
43.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
43.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
43.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
43.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
43.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
43.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
43.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
43.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
43.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
42.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
42.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
42.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
42.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
42.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
42.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
42.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
42.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
42.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
42.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
42.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
41.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
41.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
41.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
41.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
41.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
41.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
41.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
41.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
41.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
41.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
41.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
40.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
40.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
40.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
40.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
40.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
40.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
40.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
40.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
40.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
40.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
40.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
40.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
40.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
39.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
39.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
39.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
39.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
39.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
39.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
39.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
39.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
39.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
39.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
39.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
39.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
38.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
38.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
38.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
38.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
38.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
38.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
38.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
38.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
37.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
37.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
37.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
37.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
37.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
37.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
37.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
37.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
37.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
37.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
37.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
37.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
37.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
37.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
36.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
36.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
36.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
36.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
36.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
36.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
36.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
36.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
36.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
36.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
36.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
36.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
36.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
36.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
36.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
35.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
35.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
35.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
35.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
35.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
35.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
35.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
35.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
35.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
35.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
35.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
35.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
35.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
35.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
35.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
34.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
34.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
34.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
34.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
34.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
34.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
34.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
34.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
34.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
34.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
34.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
34.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
34.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
34.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
34.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
34.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
34.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
34.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
34.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
33.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
33.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
33.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
33.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
33.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
33.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
33.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
33.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
33.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
33.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
33.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
33.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
33.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
33.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
33.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
33.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
32.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
32.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
32.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
32.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
32.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
32.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
32.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
32.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
32.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
32.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
32.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
31.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
31.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
31.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
31.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
31.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
31.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
31.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
31.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
31.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
31.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
31.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
31.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
31.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
30.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
30.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
30.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
30.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
30.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
30.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
30.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
30.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
30.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
30.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
30.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
30.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
30.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
30.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
29.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
29.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
29.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
29.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
29.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
29.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
29.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
29.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
28.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
28.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
28.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
28.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
28.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
28.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
28.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
28.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
28.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
28.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
28.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
28.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
27.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
27.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
27.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
27.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
27.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
27.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
27.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
27.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
27.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
26.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
26.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
26.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
26.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
26.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
26.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
26.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
26.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
26.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
26.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
26.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
26.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
25.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
25.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
25.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
25.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
25.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
25.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
25.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
25.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
25.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
25.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
25.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
25.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
25.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
25.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
24.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
24.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
24.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
24.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
23.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
23.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
23.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
23.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
23.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
23.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
23.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
23.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
23.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
22.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
22.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
22.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
22.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
22.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
22.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
22.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
21.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
21.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
21.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
21.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
20.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
20.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
20.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
20.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
20.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
20.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
19.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
18.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
18.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
18.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
18.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
18.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
18.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
18.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
18.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
17.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
17.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
17.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
16.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
16.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
16.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
16.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
16.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
15.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
14.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
14.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
14.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
13.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
12.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
12.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
12.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
10.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.9
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.
MAP7D1 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
15.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
52.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
43.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
35.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
34.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
34.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
33.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
32.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
27.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
27.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
26.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
24.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
24.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
23.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
21.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
21.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
20.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
20.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
20.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
20.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
20.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
20.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
19.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
19.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
18.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
18.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
18.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
18.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
18.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
17.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
17.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
17.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
17.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
17.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
16.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
16.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
16.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
16.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
15.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
15.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
15.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
15.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
15.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
14.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
14.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
14.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
14.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
14.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
14.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
13.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
13.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
13.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
13.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
13.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
12.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
12.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
12.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
12.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
11.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
11.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
11.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
10.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
10.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
10.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
10.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
9.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
9.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
9.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
9.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
9.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
8.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
8.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
8.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
8.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
8.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
7.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
7.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
7.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
7.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
6.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
6.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
5.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
5.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
4.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
3.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
MAP7D1 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
40.9
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
112.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
108.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
107.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
103.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
103.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
90.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
89.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
85.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
85.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
84.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
82.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
82.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
81.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
81.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
79.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
73.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
71.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
70.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
68.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
68.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
67.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
64.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
64.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
61.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
60.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
59.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
59.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
59.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
58.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
58.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
58.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
58.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
56.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
56.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
55.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
55.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
55.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
54.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
54.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
53.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
52.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
51.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
51.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
50.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
50.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
50.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
50.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
49.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
49.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
49.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
49.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
49.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
48.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
48.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
48.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
48.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
48.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
48.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
47.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
47.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
47.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
47.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
46.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
46.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
46.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
46.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
45.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
45.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
44.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
44.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
44.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
44.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
44.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
43.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
43.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
43.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
43.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
42.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
42.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
42.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
42.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
41.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
41.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
41.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
41.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
40.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
40.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
39.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
39.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
39.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
38.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
37.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
37.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
37.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
37.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
37.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
36.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
36.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
36.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
35.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
35.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
35.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
35.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
35.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
35.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
35.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
34.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
34.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
34.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
34.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
34.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
34.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
34.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
34.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
34.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
33.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
32.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
32.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
32.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
32.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
32.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
32.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
32.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
31.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
31.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
31.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
31.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
31.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
30.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
30.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
30.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
30.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
30.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
30.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
30.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
30.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
30.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
29.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
29.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
29.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
29.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
29.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
29.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
29.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
29.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
29.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
29.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
28.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
28.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
28.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
28.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
27.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
27.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
27.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
27.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
27.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
27.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
26.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
26.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
26.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
26.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
26.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
26.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
26.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
26.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
26.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
26.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
26.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
25.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
25.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
25.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
25.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
25.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
24.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
24.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
23.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
23.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
23.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
22.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
22.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
22.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
22.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
22.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
22.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
21.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
21.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
21.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
21.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
21.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
21.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
20.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
20.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
19.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
19.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
17.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
16.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
16.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
15.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
14.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
13.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
12.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
11.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.8
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.7
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.8
b2400046-1d25-429d-a821-6040a6
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
