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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.
PDCD10 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
46.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
148.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
98.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
84.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
76.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
75.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
75.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
75.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
73.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
72.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
72.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
71.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
70.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
70.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
68.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
68.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
68.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
67.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
67.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
67.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
67.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
67.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
67.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
66.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
65.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
64.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
64.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
64.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
64.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
64.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
64.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
63.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
63.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
63.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
62.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
62.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
61.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
60.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
60.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
59.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
59.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
59.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
59.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
59.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
59.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
58.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
58.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
58.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
58.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
57.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
57.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
57.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
57.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
57.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
56.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
56.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
56.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
55.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
55.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
55.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
55.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
55.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
54.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
54.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
53.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
53.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
53.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
53.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
53.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
53.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
53.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
53.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
52.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
52.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
52.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
52.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
52.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
52.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
51.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
51.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
51.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
51.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
51.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
51.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
51.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
51.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
51.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
50.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
50.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
49.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
49.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
49.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
49.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
49.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
49.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
49.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
49.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
49.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
49.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
48.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
48.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
48.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
48.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
48.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
48.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
48.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
48.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
47.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
47.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
47.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
47.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
47.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
47.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
47.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
47.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
46.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
46.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
46.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
46.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
46.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
46.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
46.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
46.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
45.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
45.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
45.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
45.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
45.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
45.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
45.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
45.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
45.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
45.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
45.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
44.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
44.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
44.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
44.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
44.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
44.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
44.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
43.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
43.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
43.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
43.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
43.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
43.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
42.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
42.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
41.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
41.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
41.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
41.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
41.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
41.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
41.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
41.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
41.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
41.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
40.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
40.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
40.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
40.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
40.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
40.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
40.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
40.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
40.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
39.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
39.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
39.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
39.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
39.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
39.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
39.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
39.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
39.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
39.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
39.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
39.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
39.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
39.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
38.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
38.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
38.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
38.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
38.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
38.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
38.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
38.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
38.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
38.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
38.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
36.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
36.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
36.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
36.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
35.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
35.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
35.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
35.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
34.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
34.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
34.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
34.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
34.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
34.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
33.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
33.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
33.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
32.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
32.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
32.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
32.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
32.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
32.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
32.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
32.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
32.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
31.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
31.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
31.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
31.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
30.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
30.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
30.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
30.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
30.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
30.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
29.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
29.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
29.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
29.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
29.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
29.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
28.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
28.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
28.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
28.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
27.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
27.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
26.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
26.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
26.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
25.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
24.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
24.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
24.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
24.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
23.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
23.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
21.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PDCD10 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
58.4
Number of samples
486
Samples
Sample
Description
TPM
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
169.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
161.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
156.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
120.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
109.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
107.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
102.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
101.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
96.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
94.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
93.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
93.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
91.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
90.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
90.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
89.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
89.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
88.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
87.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
86.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
86.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
86.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
86.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
86.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
86.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
85.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
84.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
84.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
84.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
83.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
83.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
82.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
82.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
81.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
81.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
80.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
80.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
80.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
78.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
77.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
77.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
77.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
77.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
76.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
76.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
75.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
75.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
75.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
74.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
74.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
74.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
74.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
74.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
74.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
73.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
73.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
73.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
73.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
73.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
73.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
73.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
73.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
72.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
72.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
72.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
71.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
71.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
71.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
71.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
71.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
71.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
71.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
70.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
70.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
70.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
70.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
69.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
69.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
69.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
69.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
69.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
69.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
68.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
68.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
68.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
68.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
68.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
68.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
68.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
67.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
67.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
67.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
67.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
67.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
67.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
67.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
67.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
67.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
67.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
67.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
67.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
67.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
67.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
67.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
67.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
67.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
66.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
66.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
66.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
66.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
66.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
66.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
66.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
66.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
65.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
65.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
65.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
65.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
65.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
65.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
65.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
65.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
65.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
65.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
65.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
64.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
64.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
64.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
64.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
64.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
63.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
63.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
63.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
63.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
63.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
63.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
63.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
63.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
63.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
62.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
62.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
62.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
62.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
62.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
62.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
62.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
62.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
62.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
62.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
62.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
62.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
62.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
62.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
62.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
62.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
62.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
61.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
61.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
61.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
61.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
61.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
61.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
61.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
61.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
61.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
61.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
61.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
61.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
61.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
61.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
61.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
61.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
61.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
61.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
61.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
61.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
61.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
61.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
60.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
60.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
60.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
60.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
60.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
60.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
60.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
60.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
60.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
60.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
60.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
60.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
60.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
60.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
60.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
60.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
60.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
59.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
59.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
59.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
59.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
59.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
59.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
59.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
59.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
59.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
59.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
59.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
59.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
59.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
59.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
59.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
58.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
58.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
58.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
58.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
58.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
58.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
58.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
58.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
58.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
58.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
58.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
58.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
58.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
58.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
58.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
58.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
58.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
57.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
57.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
57.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
57.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
57.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
57.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
57.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
57.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
57.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
57.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
57.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
57.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
57.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
56.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
56.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
56.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
56.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
56.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
56.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
56.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
56.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
56.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
56.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
56.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
56.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
56.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
56.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
56.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
56.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
56.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
56.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
56.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
56.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
55.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
55.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
55.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
55.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
55.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
55.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
55.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
55.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
55.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
55.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
55.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
55.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
55.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
55.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
54.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
54.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
54.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
54.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
54.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
54.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
54.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
54.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
54.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
54.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
54.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
54.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
53.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
53.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
53.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
53.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
53.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
53.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
53.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
53.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
53.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
53.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
53.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
52.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
52.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
52.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
52.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
52.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
52.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
52.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
52.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
52.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
52.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
52.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
52.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
52.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
52.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
52.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
52.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
52.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
52.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
52.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
51.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
51.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
51.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
51.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
51.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
51.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
51.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
51.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
51.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
51.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
51.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
51.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
51.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
51.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
51.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
51.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
50.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
50.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
50.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
50.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
50.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
50.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
50.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
50.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
50.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
50.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
49.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
49.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
49.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
49.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
49.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
49.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
49.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
49.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
49.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
49.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
49.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
49.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
48.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
48.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
48.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
48.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
48.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
48.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
48.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
48.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
48.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
48.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
48.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
48.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
48.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
48.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
48.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
48.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
48.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
48.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
47.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
47.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
47.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
47.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
47.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
47.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
47.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
47.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
47.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
47.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
46.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
46.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
46.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
46.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
46.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
46.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
46.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
46.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
46.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
45.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
45.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
45.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
45.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
45.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
45.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
45.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
45.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
45.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
45.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
45.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
44.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
44.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
44.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
44.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
44.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
44.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
44.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
44.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
44.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
44.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
44.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
44.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
44.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
44.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
44.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
43.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
43.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
43.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
43.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
43.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
43.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
43.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
43.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
43.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
43.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
43.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
43.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
42.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
42.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
42.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
42.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
42.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
42.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
42.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
42.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
42.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
42.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
42.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
41.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
41.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
41.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
41.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
40.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
40.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
40.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
40.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
40.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
39.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
39.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
39.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
39.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
38.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
38.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
38.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
38.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
38.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
38.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
37.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
37.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
37.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
37.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
36.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
36.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
35.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
34.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
34.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
34.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
33.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
33.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
33.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
32.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
31.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
29.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
27.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PDCD10 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
48.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
106.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
92.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
91.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
84.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
80.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
79.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
79.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
77.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
76.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
71.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
70.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
68.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
65.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
64.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
64.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
63.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
62.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
62.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
61.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
60.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
58.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
57.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
57.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
56.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
55.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
54.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
54.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
54.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
53.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
53.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
53.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
53.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
52.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
52.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
52.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
52.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
50.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
49.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
49.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
49.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
48.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
47.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
46.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
45.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
44.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
44.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
44.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
44.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
44.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
44.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
44.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
44.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
43.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
43.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
41.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
41.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
41.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
41.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
41.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
41.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
40.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
40.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
38.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
38.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
38.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
37.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
36.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
35.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
34.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
34.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
34.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
33.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
33.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
32.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
32.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
32.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
31.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
29.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
28.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
27.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
25.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
24.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
23.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
16.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
11.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
8.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PDCD10 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
52.8
Number of samples
207
Samples
Sample
Description
TPM
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
85.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
84.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
80.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
78.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
78.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
75.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
74.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
74.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
74.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
73.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
73.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
72.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
72.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
72.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
71.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
71.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
71.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
70.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
70.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
69.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
69.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
68.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
68.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
67.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
67.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
66.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
65.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
65.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
65.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
65.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
64.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
64.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
64.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
63.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
63.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
63.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
63.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
62.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
62.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
62.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
62.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
62.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
61.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
61.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
60.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
60.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
60.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
60.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
60.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
59.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
59.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
59.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
59.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
59.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
59.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
59.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
59.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
59.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
58.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
58.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
58.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
58.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
58.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
58.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
57.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
57.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
57.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
57.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
57.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
56.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
56.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
56.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
56.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
56.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
55.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
55.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
55.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
55.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
55.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
55.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
55.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
55.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
55.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
54.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
54.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
54.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
54.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
54.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
54.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
53.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
53.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
53.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
53.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
53.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
53.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
53.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
53.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
53.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
52.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
52.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
52.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
52.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
52.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
52.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
52.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
51.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
51.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
51.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
51.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
51.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
51.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
51.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
50.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
50.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
50.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
50.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
50.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
50.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
50.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
50.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
50.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
50.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
49.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
49.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
49.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
49.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
49.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
49.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
49.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
49.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
49.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
48.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
48.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
48.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
48.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
47.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
47.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
47.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
47.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
47.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
47.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
47.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
47.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
47.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
46.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
46.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
46.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
46.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
46.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
45.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
45.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
45.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
45.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
45.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
45.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
45.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
44.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
44.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
44.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
44.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
43.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
43.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
43.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
43.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
43.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
43.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
43.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
42.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
42.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
42.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
41.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
41.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
41.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
41.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
40.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
40.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
40.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
40.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
39.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
39.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
39.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
39.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
39.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
39.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
38.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
38.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
38.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
37.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
36.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
36.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
35.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
35.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
34.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
34.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
33.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
32.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
31.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
31.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
26.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.7
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
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
