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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.
OPA1 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
12.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
30.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
28.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
26.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
24.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
24.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
23.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
21.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
21.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
21.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
21.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
20.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
20.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
20.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
20.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
20.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
20.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
19.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
19.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
19.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
19.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
19.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
18.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
18.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
18.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
17.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
17.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
17.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
17.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
17.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
17.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
17.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
17.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
17.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
16.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
16.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
16.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
16.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
16.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
16.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
16.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
16.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
16.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
16.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
16.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
15.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
15.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
15.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
15.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
15.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
15.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
15.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
15.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
15.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
15.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
15.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
15.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
15.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
15.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
15.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
15.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
14.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
14.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
14.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
14.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
14.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
14.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
14.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
14.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
14.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
13.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
13.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
13.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
13.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
13.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
13.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
13.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
13.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
13.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
13.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
13.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
13.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
13.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
13.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
13.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
13.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
13.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
13.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
13.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
13.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
13.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
13.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
13.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
12.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
12.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
12.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
12.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
12.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
12.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
12.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
12.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
12.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
12.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
12.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
12.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
12.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
12.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
12.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
12.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
12.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
12.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
12.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
12.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
12.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
12.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
12.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
12.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
12.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
12.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
12.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
12.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
12.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
12.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
11.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
11.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
11.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
11.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
11.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
11.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
11.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
11.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
11.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
11.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
11.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
11.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
11.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
11.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
11.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
11.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
11.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
11.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
11.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
11.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
11.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
11.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
11.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
11.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
11.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
11.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
11.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
11.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
11.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
11.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
11.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
10.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
10.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
10.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
10.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
10.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
10.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
10.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
10.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
10.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
10.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
10.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
10.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
10.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
10.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
10.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
10.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
10.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
10.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
10.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
10.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
10.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
10.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
10.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
10.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
10.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
10.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
10.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
10.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
10.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
10.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
10.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
10.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
9.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
9.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
9.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
9.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
9.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
9.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
9.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
9.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
9.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
9.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
9.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
9.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
9.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
9.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
9.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
9.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
9.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
9.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
9.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
9.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
9.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
9.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
9.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
9.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
9.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
9.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
8.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
8.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
8.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
8.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
8.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
8.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
8.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
8.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
8.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
8.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
8.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
8.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
8.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
8.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
8.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
8.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
8.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
7.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
7.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
7.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
7.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
7.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
7.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
7.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
7.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
7.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
7.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
7.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
7.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
7.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
7.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
7.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
6.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
6.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
6.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
5.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 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.
OPA1 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
40.0
Number of samples
486
Samples
Sample
Description
TPM
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
107.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
86.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
80.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
71.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
69.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
68.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
67.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
67.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
66.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
65.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
64.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
63.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
62.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
60.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
60.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
59.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
59.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
59.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
59.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
59.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
58.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
58.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
57.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
57.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
57.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
56.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
56.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
55.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
55.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
55.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
55.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
54.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
54.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
53.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
53.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
53.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
53.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
53.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
53.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
53.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
52.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
52.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
52.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
52.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
52.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
51.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
51.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
51.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
50.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
50.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
50.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
50.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
50.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
50.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
50.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
50.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
49.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
49.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
49.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
49.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
49.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
49.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
49.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
49.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
48.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
48.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
48.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
48.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
48.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
48.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
48.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
48.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
47.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
47.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
47.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
47.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
47.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
47.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
47.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
47.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
47.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
47.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
47.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
47.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
47.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
46.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
46.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
46.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
46.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
46.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
46.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
46.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
46.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
46.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
46.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
46.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
46.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
46.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
46.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
46.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
45.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
45.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
45.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
45.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
45.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
45.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
45.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
45.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
45.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
45.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
45.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
45.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
45.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
45.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
44.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
44.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
44.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
44.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
44.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
44.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
44.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
44.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
44.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
44.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
44.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
44.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
44.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
43.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
43.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
43.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
43.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
43.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
43.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
43.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
43.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
43.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
43.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
43.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
43.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
43.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
43.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
43.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
42.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
42.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
42.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
42.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
42.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
42.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
42.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
42.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
42.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
42.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
42.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
42.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
42.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
42.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
42.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
42.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
42.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
42.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
42.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
42.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
41.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
41.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
41.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
41.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
41.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
41.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
41.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
41.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
41.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
41.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
41.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
41.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
41.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
41.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
41.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
41.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
41.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
41.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
41.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
40.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
40.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
40.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
40.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
40.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
40.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
40.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
40.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
40.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
40.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
40.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
40.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
40.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
40.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
40.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
40.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
40.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
40.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
39.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
39.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
39.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
39.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
39.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
39.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
39.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
39.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
39.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
39.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
39.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
39.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
39.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
39.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
39.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
39.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
39.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
39.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
39.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
39.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
39.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
39.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
39.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
39.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
39.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
39.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
39.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
39.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
39.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
39.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
38.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
38.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
38.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
38.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
38.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
38.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
38.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
38.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
38.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
38.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
38.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
38.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
38.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
38.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
38.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
38.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
38.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
38.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
38.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
38.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
38.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
38.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
38.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
38.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
38.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
38.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
38.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
38.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
38.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
38.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
38.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
37.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
37.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
37.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
37.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
37.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
37.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
37.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
37.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
37.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
37.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
37.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
37.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
37.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
37.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
37.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
37.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
37.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
37.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
37.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
37.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
37.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
36.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
36.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
36.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
36.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
36.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
36.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
36.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
36.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
36.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
36.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
36.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
36.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
36.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
36.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
36.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
36.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
36.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
36.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
36.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
36.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
36.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
36.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
36.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
36.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
36.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
36.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
36.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
35.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
35.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
35.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
35.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
35.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
35.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
35.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
35.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
35.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
35.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
35.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
35.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
35.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
35.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
34.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
34.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
34.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
34.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
34.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
34.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
34.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
34.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
34.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
34.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
34.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
34.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
34.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
34.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
34.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
34.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
34.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
34.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
34.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
34.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
34.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
34.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
34.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
34.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
34.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
34.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
33.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
33.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
33.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
33.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
33.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
33.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
33.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
33.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
33.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
33.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
33.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
33.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
33.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
33.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
33.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
33.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
33.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
33.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
33.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
32.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
32.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
32.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
32.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
32.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
32.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
32.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
32.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
32.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
32.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
32.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
32.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
32.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
32.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
32.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
32.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
32.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
32.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
32.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
32.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
32.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
32.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
32.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
32.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
31.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
31.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
31.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
31.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
31.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
31.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
31.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
31.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
31.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
31.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
31.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
31.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
31.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
31.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
31.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
31.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
30.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
30.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
30.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
30.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
30.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
30.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
30.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
30.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
30.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
30.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
30.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
30.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
30.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
30.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
30.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
30.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
30.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
30.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
29.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
29.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
29.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
29.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
29.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
29.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
29.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
29.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
29.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
29.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
29.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
29.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
29.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
28.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
28.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
28.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
28.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
28.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
28.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
28.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
27.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
27.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
27.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
27.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
27.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
27.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
27.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
27.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
27.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
27.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
26.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
26.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
25.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
25.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
25.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
25.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
24.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
24.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
23.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
22.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
22.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
21.6
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.
OPA1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
13.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
29.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
28.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
27.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
26.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
24.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
22.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
21.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
21.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
21.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
20.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
20.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
19.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
19.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
19.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
18.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
18.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
18.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
18.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
17.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
17.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
17.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
16.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
16.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
16.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
16.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
16.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
16.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
16.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
15.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
15.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
14.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
14.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
14.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
14.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
14.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
14.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
13.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
13.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
12.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
12.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
12.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
12.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
12.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
12.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
12.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
12.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
12.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
12.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
12.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
12.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
11.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
11.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
11.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
11.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
11.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
11.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
11.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
11.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
11.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
10.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
10.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
10.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
10.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
10.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
10.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
10.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
9.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
9.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
9.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
9.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
8.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
8.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
8.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
8.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
8.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
8.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
8.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
8.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
7.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
7.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
7.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
6.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
6.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
5.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
5.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
5.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
OPA1 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
37.9
Number of samples
207
Samples
Sample
Description
TPM
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
60.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
60.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
59.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
57.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
57.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
56.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
55.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
54.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
52.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
52.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
52.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
51.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
50.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
50.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
50.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
49.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
49.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
49.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
49.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
49.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
49.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
48.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
48.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
48.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
48.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
48.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
48.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
47.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
47.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
47.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
46.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
46.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
46.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
46.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
45.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
45.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
45.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
45.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
44.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
44.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
44.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
44.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
44.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
43.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
43.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
43.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
43.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
43.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
43.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
43.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
43.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
42.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
42.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
42.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
42.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
42.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
42.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
42.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
42.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
42.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
41.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
41.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
41.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
41.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
41.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
41.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
41.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
41.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
41.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
41.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
40.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
40.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
40.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
40.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
40.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
40.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
40.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
40.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
40.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
40.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
39.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
39.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
39.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
39.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
39.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
39.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
38.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
38.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
38.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
38.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
38.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
38.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
38.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
37.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
37.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
37.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
37.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
37.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
37.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
37.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
37.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
36.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
36.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
36.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
36.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
36.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
36.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
36.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
36.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
36.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
36.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
36.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
36.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
36.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
35.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
35.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
35.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
35.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
35.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
35.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
35.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
35.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
35.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
35.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
35.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
35.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
34.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
34.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
34.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
34.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
34.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
34.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
34.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
34.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
34.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
34.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
34.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
33.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
33.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
33.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
33.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
33.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
33.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
33.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
32.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
32.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
32.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
32.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
32.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
32.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
32.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
32.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
31.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
31.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
31.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
31.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
30.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
30.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
30.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
30.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
29.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
29.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
29.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
29.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
29.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
29.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
29.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
29.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
29.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
29.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
29.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
29.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
29.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
29.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
28.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
28.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
28.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
28.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
28.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
28.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
28.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
28.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
27.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
27.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
27.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
27.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
26.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
26.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
25.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
25.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
24.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
24.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
24.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
23.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
23.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
20.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
20.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
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Normal
-0.1
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Tumor
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Tumor
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Normal
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Tumor
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Normal
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Tumor
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Normal
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
