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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.
PDAP1 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
38.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
113.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
108.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
86.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
75.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
70.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
65.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
63.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
63.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
62.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
60.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
59.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
58.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
58.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
58.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
56.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
55.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
55.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
54.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
54.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
54.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
54.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
52.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
52.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
52.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
51.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
51.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
51.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
51.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
51.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
51.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
51.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
51.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
50.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
50.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
50.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
50.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
50.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
50.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
50.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
49.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
49.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
49.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
49.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
49.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
49.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
49.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
48.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
48.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
48.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
48.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
48.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
47.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
47.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
47.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
47.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
47.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
47.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
46.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
46.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
46.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
45.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
45.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
45.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
45.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
45.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
45.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
45.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
45.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
45.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
44.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
44.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
43.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
43.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
43.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
43.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
43.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
43.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
43.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
43.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
43.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
43.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
42.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
42.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
41.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
41.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
41.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
41.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
41.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
41.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
40.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
40.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
40.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
40.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
40.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
39.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
39.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
39.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
39.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
39.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
39.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
39.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
38.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
38.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
38.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
37.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
37.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
37.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
37.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
37.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
37.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
37.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
37.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
37.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
37.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
37.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
37.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
37.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
37.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
36.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
36.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
36.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
36.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
36.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
36.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
36.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
36.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
36.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
36.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
36.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
36.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
36.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
36.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
36.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
36.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
36.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
35.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
35.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
35.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
35.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
35.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
35.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
35.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
35.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
35.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
35.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
34.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
34.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
34.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
34.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
34.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
34.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
34.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
34.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
34.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
34.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
34.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
34.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
34.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
34.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
33.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
33.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
33.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
33.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
33.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
33.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
33.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
33.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
33.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
33.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
33.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
32.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
32.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
32.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
32.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
32.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
32.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
32.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
32.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
32.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
32.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
32.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
32.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
32.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
31.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
31.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
31.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
31.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
31.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
31.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
31.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
31.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
31.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
31.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
31.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
31.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
31.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
30.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
30.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
30.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
30.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
30.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
30.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
30.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
30.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
30.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
30.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
30.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
30.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
30.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
29.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
29.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
29.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
29.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
29.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
29.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
29.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
29.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
29.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
29.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
28.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
28.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
28.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
28.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
27.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
27.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
27.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
26.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
26.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
25.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
25.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
25.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
25.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
25.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
25.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
25.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
25.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
25.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
25.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
24.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
24.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
23.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
23.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
23.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
22.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
22.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
22.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
21.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
20.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
20.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
16.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
16.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
13.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
PDAP1 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
40.6
Number of samples
486
Samples
Sample
Description
TPM
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
80.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
75.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
74.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
72.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
72.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
67.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
65.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
65.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
64.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
63.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
63.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
63.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
63.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
63.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
62.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
62.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
61.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
61.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
60.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
60.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
60.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
59.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
59.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
59.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
59.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
59.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
59.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
57.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
57.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
57.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
56.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
56.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
56.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
55.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
55.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
55.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
55.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
54.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
54.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
54.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
54.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
54.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
53.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
53.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
53.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
53.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
53.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
53.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
53.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
53.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
53.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
52.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
52.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
52.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
52.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
52.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
52.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
52.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
52.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
51.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
51.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
51.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
51.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
51.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
51.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
51.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
51.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
51.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
51.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
51.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
51.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
51.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
50.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
50.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
50.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
50.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
49.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
49.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
49.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
49.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
49.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
49.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
49.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
49.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
49.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
49.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
49.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
48.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
48.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
48.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
48.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
48.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
48.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
47.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
47.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
47.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
47.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
47.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
47.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
47.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
47.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
47.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
47.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
47.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
47.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
47.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
47.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
47.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
46.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
46.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
46.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
46.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
46.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
46.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
46.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
46.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
46.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
46.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
46.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
46.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
46.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
45.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
45.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
45.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
45.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
45.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
45.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
45.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
45.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
45.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
45.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
45.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
45.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
45.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
45.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
45.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
45.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
45.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
45.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
44.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
44.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
44.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
44.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
44.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
44.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
44.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
44.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
44.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
44.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
44.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
44.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
44.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
44.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
44.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
44.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
44.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
43.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
43.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
43.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
43.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
43.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
43.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
43.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
43.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
43.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
43.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
43.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
43.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
43.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
43.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
43.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
43.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
43.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
43.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
43.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
43.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
42.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
42.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
42.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
42.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
42.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
42.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
42.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
42.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
42.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
42.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
42.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
42.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
42.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
42.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
42.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
42.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
42.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
42.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
42.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
42.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
41.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
41.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
41.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
41.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
41.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
41.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
41.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
41.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
41.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
41.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
41.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
41.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
41.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
41.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
41.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
40.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
40.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
40.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
40.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
40.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
40.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
40.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
40.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
40.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
40.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
40.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
40.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
40.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
40.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
40.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
40.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
40.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
39.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
39.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
39.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
39.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
39.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
39.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
39.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
39.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
39.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
39.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
39.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
39.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
39.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
39.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
39.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
39.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
39.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
38.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
38.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
38.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
38.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
38.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
38.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
38.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
38.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
38.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
38.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
38.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
38.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
38.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
38.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
38.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
38.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
38.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
38.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
38.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
38.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
38.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
38.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
38.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
38.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
38.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
38.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
37.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
37.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
37.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
37.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
37.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
37.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
37.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
37.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
37.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
37.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
37.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
37.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
37.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
37.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
37.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
37.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
37.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
37.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
37.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
36.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
36.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
36.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
36.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
36.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
36.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
36.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
36.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
36.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
36.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
36.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
36.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
36.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
36.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
36.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
36.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
36.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
36.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
36.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
36.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
36.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
36.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
36.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
36.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
36.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
36.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
36.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
35.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
35.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
35.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
35.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
35.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
35.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
35.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
35.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
35.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
35.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
35.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
35.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
35.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
35.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
35.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
35.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
35.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
35.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
35.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
35.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
34.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
34.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
34.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
34.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
34.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
34.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
34.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
34.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
34.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
34.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
34.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
34.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
34.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
34.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
34.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
34.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
34.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
34.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
34.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
34.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
33.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
33.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
33.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
33.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
33.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
33.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
33.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
33.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
33.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
33.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
33.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
33.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
33.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
33.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
33.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
32.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
32.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
32.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
32.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
32.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
32.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
32.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
32.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
32.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
32.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
32.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
32.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
32.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
32.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
32.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
32.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
31.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
31.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
31.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
31.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
31.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
31.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
31.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
31.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
31.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
31.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
31.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
31.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
31.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
31.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
31.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
31.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
31.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
31.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
31.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
31.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
31.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
30.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
30.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
30.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
30.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
30.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
30.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
30.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
30.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
29.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
29.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
29.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
29.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
29.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
29.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
29.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
29.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
29.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
29.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
29.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
29.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
29.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
29.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
29.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
29.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
29.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
29.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
28.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
28.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
28.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
28.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
28.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
28.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
28.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
28.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
28.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
27.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
27.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
27.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
26.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
26.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
26.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
26.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
26.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
26.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
25.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
25.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
25.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
25.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
25.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
24.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
24.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
24.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
23.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
23.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
22.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
22.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
17.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.1
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.
PDAP1 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
39.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
67.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
58.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
58.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
58.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
56.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
56.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
55.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
54.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
54.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
53.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
52.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
52.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
51.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
51.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
50.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
50.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
49.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
48.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
48.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
48.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
47.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
46.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
46.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
45.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
45.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
44.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
44.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
44.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
44.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
44.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
44.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
43.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
43.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
42.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
42.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
42.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
41.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
41.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
41.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
41.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
40.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
40.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
40.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
40.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
40.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
39.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
39.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
38.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
38.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
38.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
37.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
37.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
37.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
37.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
36.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
36.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
36.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
36.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
35.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
34.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
33.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
33.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
33.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
32.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
32.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
30.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
29.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
29.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
29.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
29.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
28.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
28.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
28.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
28.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
28.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
28.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
28.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
26.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
26.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
26.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
25.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
25.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
24.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
23.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
23.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
22.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 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.
PDAP1 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
37.7
Number of samples
207
Samples
Sample
Description
TPM
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
69.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
69.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
69.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
65.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
61.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
59.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
58.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
56.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
55.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
54.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
53.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
53.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
52.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
52.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
51.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
51.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
49.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
49.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
49.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
49.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
48.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
47.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
47.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
46.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
46.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
46.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
46.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
45.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
45.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
45.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
44.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
44.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
43.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
43.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
43.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
43.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
43.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
43.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
43.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
43.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
42.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
42.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
42.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
42.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
42.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
42.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
42.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
42.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
42.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
41.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
41.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
41.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
41.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
41.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
41.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
41.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
41.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
41.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
41.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
41.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
40.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
40.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
40.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
40.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
40.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
40.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
40.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
40.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
40.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
40.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
40.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
40.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
40.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
39.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
39.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
39.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
39.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
39.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
39.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
39.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
39.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
39.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
39.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
39.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
39.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
38.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
38.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
38.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
38.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
38.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
38.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
38.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
37.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
37.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
37.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
37.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
37.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
37.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
37.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
37.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
37.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
37.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
37.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
37.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
37.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
37.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
37.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
37.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
37.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
36.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
36.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
36.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
36.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
36.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
36.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
35.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
35.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
35.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
35.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
35.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
35.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
35.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
34.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
34.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
34.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
34.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
34.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
34.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
34.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
34.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
34.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
34.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
34.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
33.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
33.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
33.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
33.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
33.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
33.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
33.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
33.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
33.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
33.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
32.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
32.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
32.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
32.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
32.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
32.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
31.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
31.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
31.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
31.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
31.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
30.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
30.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
30.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
30.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
30.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
30.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
30.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
30.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
29.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
29.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
29.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
29.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
28.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
28.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
28.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
28.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
28.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
28.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
28.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
27.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
27.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
27.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
27.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
27.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
27.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
27.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
27.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
26.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
25.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
25.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
25.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
25.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
25.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
25.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
24.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
22.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
21.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
20.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
19.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
17.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.8
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.7
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.7
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
