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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.
PSMD11 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
43.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
89.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
89.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
81.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
81.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
79.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
79.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
77.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
75.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
74.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
73.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
70.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
69.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
69.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
67.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
67.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
65.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
64.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
64.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
63.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
63.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
63.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
63.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
63.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
63.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
63.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
62.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
62.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
61.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
61.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
61.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
60.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
59.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
59.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
59.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
58.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
58.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
58.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
58.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
58.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
58.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
57.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
57.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
56.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
56.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
55.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
55.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
55.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
54.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
54.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
54.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
54.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
54.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
53.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
53.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
53.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
53.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
52.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
52.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
52.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
52.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
51.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
51.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
51.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
51.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
51.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
51.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
51.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
50.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
50.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
50.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
50.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
49.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
49.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
49.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
49.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
49.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
49.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
49.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
49.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
49.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
49.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
49.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
49.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
49.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
49.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
48.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
48.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
48.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
48.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
48.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
48.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
48.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
47.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
47.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
47.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
47.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
46.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
46.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
46.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
46.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
46.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
46.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
46.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
45.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
45.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
45.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
45.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
45.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
45.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
44.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
44.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
44.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
44.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
44.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
43.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
43.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
43.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
43.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
43.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
43.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
42.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
42.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
42.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
42.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
42.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
42.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
42.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
42.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
42.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
42.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
42.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
41.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
41.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
41.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
41.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
41.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
41.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
41.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
40.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
40.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
40.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
40.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
40.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
40.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
40.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
40.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
40.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
39.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
39.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
39.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
39.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
39.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
39.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
39.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
39.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
39.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
39.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
39.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
38.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
38.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
38.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
38.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
38.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
38.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
38.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
38.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
37.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
37.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
37.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
37.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
36.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
36.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
36.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
36.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
36.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
36.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
36.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
36.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
35.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
35.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
35.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
35.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
35.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
35.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
35.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
35.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
35.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
34.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
34.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
34.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
34.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
34.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
34.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
33.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
33.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
33.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
33.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
33.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
33.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
32.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
32.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
32.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
32.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
32.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
32.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
31.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
31.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
31.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
31.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
30.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
30.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
30.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
30.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
30.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
30.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
30.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
29.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
29.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
29.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
29.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
29.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
29.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
28.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
28.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
28.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
28.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
28.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
28.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
27.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
27.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
27.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
27.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
27.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
27.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
26.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
26.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
26.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
25.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
25.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
24.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
24.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
24.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
24.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
23.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
23.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
23.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
22.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
22.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
22.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
21.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
19.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
19.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
18.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
PSMD11 is potential prognostic, high expression is unfavorable 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
59.9
Number of samples
486
Samples
Sample
Description
TPM
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
205.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
137.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
119.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
118.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
114.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
112.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
107.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
104.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
103.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
102.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
101.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
100.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
99.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
98.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
98.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
97.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
94.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
94.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
94.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
93.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
92.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
92.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
90.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
90.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
90.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
89.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
89.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
87.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
87.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
87.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
86.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
86.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
85.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
84.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
84.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
83.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
83.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
83.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
83.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
81.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
81.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
81.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
80.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
79.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
79.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
79.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
79.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
79.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
79.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
79.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
78.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
77.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
77.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
77.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
77.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
77.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
77.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
77.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
76.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
76.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
76.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
76.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
76.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
76.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
76.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
76.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
76.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
75.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
75.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
75.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
74.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
74.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
74.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
74.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
74.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
74.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
73.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
73.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
73.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
73.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
73.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
73.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
72.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
72.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
72.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
72.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
72.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
72.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
72.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
72.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
72.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
72.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
72.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
71.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
71.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
71.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
71.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
71.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
71.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
71.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
71.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
71.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
71.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
71.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
70.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
70.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
70.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
70.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
70.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
70.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
70.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
70.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
70.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
69.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
69.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
69.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
69.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
69.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
69.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
69.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
69.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
68.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
68.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
68.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
67.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
67.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
67.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
67.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
67.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
67.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
67.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
67.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
67.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
67.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
67.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
66.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
66.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
66.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
66.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
66.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
65.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
65.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
65.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
65.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
65.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
65.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
65.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
64.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
64.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
64.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
64.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
64.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
64.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
64.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
64.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
64.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
64.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
64.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
64.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
63.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
63.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
63.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
63.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
63.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
63.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
63.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
63.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
63.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
63.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
63.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
62.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
62.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
62.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
62.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
62.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
62.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
62.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
62.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
62.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
62.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
62.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
62.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
62.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
62.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
62.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
61.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
61.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
61.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
61.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
61.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
61.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
61.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
61.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
61.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
61.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
61.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
60.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
60.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
60.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
60.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
60.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
60.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
60.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
60.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
60.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
60.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
60.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
60.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
60.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
59.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
59.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
59.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
59.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
59.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
59.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
59.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
59.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
59.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
59.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
58.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
58.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
58.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
58.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
58.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
58.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
58.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
58.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
58.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
58.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
58.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
58.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
58.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
58.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
58.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
57.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
57.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
57.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
57.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
57.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
57.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
57.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
57.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
57.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
57.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
57.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
57.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
57.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
57.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
57.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
57.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
57.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
57.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
56.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
56.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
56.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
56.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
56.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
56.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
56.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
56.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
56.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
56.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
56.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
56.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
56.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
56.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
56.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
56.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
56.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
55.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
55.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
55.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
55.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
55.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
55.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
55.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
55.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
55.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
55.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
55.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
55.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
55.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
55.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
55.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
55.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
55.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
55.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
55.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
55.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
54.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
54.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
54.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
54.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
54.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
54.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
54.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
54.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
54.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
54.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
54.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
54.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
54.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
54.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
54.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
53.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
53.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
53.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
53.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
53.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
53.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
53.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
53.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
53.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
53.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
53.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
53.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
52.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
52.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
52.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
52.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
52.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
52.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
52.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
52.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
52.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
52.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
52.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
52.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
52.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
52.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
52.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
52.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
52.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
52.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
51.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
51.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
51.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
51.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
51.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
51.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
51.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
51.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
51.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
51.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
50.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
50.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
50.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
50.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
50.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
50.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
50.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
50.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
49.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
49.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
49.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
49.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
49.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
49.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
49.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
49.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
49.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
49.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
49.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
49.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
49.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
48.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
48.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
48.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
48.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
48.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
48.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
48.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
48.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
48.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
47.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
47.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
47.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
47.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
47.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
47.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
47.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
47.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
47.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
47.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
47.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
47.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
46.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
46.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
46.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
46.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
46.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
46.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
46.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
46.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
45.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
45.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
45.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
45.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
45.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
45.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
45.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
45.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
45.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
45.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
45.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
45.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
44.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
44.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
44.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
44.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
44.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
44.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
44.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
44.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
44.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
44.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
43.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
43.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
43.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
43.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
43.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
42.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
42.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
42.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
42.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
42.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
42.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
42.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
42.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
42.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
42.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
42.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
42.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
41.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
41.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
41.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
40.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
40.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
40.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
40.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
40.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
40.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
40.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
40.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
39.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
39.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
39.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
39.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
39.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
38.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
38.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
38.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
38.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
38.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
38.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
38.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
38.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
37.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
37.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
37.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
37.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
37.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
36.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
36.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
34.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
34.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
34.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
33.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
33.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
32.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
32.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
32.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
32.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
31.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
27.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
24.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.7
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.
PSMD11 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
42.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
95.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
95.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
87.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
69.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
64.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
64.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
61.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
60.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
60.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
59.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
58.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
57.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
54.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
53.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
52.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
52.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
51.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
51.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
50.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
49.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
49.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
48.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
48.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
48.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
47.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
47.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
46.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
46.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
45.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
45.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
45.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
44.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
44.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
44.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
44.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
44.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
44.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
43.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
43.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
43.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
43.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
43.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
43.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
42.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
42.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
40.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
40.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
40.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
40.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
39.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
38.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
38.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
38.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
38.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
36.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
36.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
35.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
35.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
35.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
35.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
35.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
35.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
34.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
34.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
34.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
34.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
34.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
33.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
32.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
32.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
32.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
32.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
32.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
30.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
29.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
28.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
27.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
26.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
25.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
25.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
24.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
24.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
23.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
21.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
18.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
17.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
13.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
PSMD11 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
53.9
Number of samples
207
Samples
Sample
Description
TPM
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
133.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
121.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
112.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
101.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
101.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
100.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
95.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
88.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
86.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
81.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
80.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
79.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
77.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
75.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
75.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
73.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
72.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
72.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
71.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
71.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
71.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
70.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
70.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
68.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
68.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
68.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
67.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
67.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
67.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
67.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
67.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
66.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
66.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
65.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
65.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
65.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
64.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
64.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
63.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
63.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
62.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
62.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
62.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
61.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
61.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
61.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
60.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
60.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
60.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
60.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
60.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
60.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
60.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
59.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
59.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
59.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
59.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
58.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
58.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
58.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
58.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
58.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
57.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
57.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
57.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
57.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
57.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
57.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
57.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
57.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
57.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
56.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
56.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
55.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
55.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
55.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
55.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
54.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
54.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
54.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
54.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
54.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
54.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
54.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
54.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
53.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
53.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
53.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
53.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
53.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
53.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
53.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
53.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
52.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
52.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
52.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
52.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
52.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
52.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
52.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
52.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
52.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
52.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
51.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
51.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
51.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
51.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
51.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
51.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
50.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
50.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
50.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
50.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
50.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
50.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
50.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
50.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
50.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
49.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
49.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
49.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
49.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
49.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
48.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
48.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
48.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
48.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
48.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
48.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
47.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
47.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
46.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
46.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
46.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
46.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
46.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
46.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
46.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
46.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
46.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
46.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
45.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
45.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
45.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
45.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
45.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
45.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
45.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
45.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
44.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
44.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
44.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
43.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
43.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
43.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
43.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
43.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
42.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
42.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
42.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
42.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
42.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
42.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
41.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
41.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
41.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
41.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
41.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
41.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
41.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
41.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
41.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
40.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
40.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
40.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
40.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
39.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
39.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
39.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
39.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
39.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
38.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
38.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
37.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
37.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
36.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
36.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
36.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
36.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
35.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
34.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
33.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
33.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
32.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
32.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
31.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
27.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
25.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
17.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
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Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
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Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
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Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
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Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
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Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
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Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
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Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
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Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.0
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Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
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Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
