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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.
PSMD1 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
45.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
114.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
96.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
91.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
88.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
87.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
83.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
81.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
81.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
80.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
79.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
77.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
76.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
73.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
71.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
71.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
70.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
69.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
68.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
68.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
67.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
64.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
64.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
64.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
63.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
63.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
63.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
63.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
63.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
62.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
62.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
62.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
61.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
61.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
61.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
60.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
60.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
59.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
59.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
59.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
59.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
58.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
58.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
57.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
57.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
57.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
57.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
57.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
57.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
57.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
56.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
56.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
55.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
55.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
55.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
55.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
55.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
55.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
55.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
55.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
54.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
54.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
54.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
54.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
54.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
53.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
53.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
53.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
53.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
52.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
51.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
51.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
51.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
51.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
51.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
50.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
50.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
50.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
50.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
50.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
49.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
49.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
49.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
49.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
49.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
49.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
48.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
48.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
48.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
48.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
47.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
47.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
47.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
46.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
46.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
46.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
46.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
46.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
46.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
46.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
46.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
45.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
45.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
45.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
45.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
45.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
45.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
45.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
45.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
45.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
44.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
44.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
44.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
44.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
44.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
44.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
44.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
44.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
44.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
44.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
44.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
44.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
43.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
43.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
43.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
43.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
43.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
43.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
43.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
43.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
42.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
42.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
42.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
42.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
42.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
42.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
42.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
42.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
42.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
42.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
42.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
42.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
42.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
41.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
41.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
41.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
41.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
41.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
41.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
41.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
41.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
41.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
41.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
41.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
41.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
40.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
40.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
40.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
40.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
40.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
40.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
39.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
39.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
39.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
39.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
39.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
39.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
39.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
39.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
39.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
39.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
38.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
38.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
38.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
38.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
38.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
37.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
37.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
37.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
37.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
37.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
36.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
36.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
36.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
36.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
36.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
35.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
35.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
35.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
35.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
35.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
35.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
34.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
34.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
34.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
33.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
33.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
33.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
33.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
33.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
33.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
33.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
33.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
33.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
32.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
32.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
32.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
32.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
31.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
31.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
31.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
31.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
30.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
30.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
30.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
30.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
30.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
30.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
30.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
29.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
29.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
29.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
29.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
28.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
28.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
28.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
28.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
27.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
27.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
27.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
27.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
27.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
27.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
26.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
26.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
26.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
26.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
26.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
25.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
24.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
24.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
24.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
23.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
22.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
22.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
21.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
21.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
20.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
20.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
18.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
18.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
18.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
17.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
16.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
PSMD1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
48.4
Number of samples
486
Samples
Sample
Description
TPM
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
100.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
100.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
93.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
93.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
92.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
89.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
88.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
87.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
82.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
80.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
80.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
79.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
79.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
79.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
79.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
78.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
78.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
78.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
77.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
77.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
77.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
77.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
74.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
74.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
74.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
73.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
72.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
72.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
72.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
72.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
71.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
71.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
71.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
71.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
71.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
71.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
70.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
70.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
70.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
69.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
69.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
69.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
69.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
69.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
69.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
69.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
68.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
68.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
68.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
67.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
66.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
66.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
65.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
65.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
65.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
65.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
65.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
65.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
65.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
64.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
64.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
64.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
64.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
64.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
63.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
63.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
63.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
63.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
63.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
63.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
63.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
62.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
62.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
62.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
62.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
61.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
61.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
61.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
61.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
61.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
61.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
60.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
60.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
60.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
60.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
60.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
60.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
60.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
60.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
60.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
59.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
59.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
59.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
59.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
58.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
58.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
58.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
58.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
58.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
58.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
58.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
58.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
58.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
58.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
58.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
58.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
57.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
57.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
57.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
57.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
57.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
57.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
57.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
57.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
57.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
57.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
57.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
56.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
56.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
56.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
56.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
56.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
56.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
56.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
56.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
56.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
56.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
56.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
55.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
55.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
55.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
55.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
55.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
55.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
55.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
55.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
55.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
54.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
54.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
54.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
54.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
54.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
54.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
54.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
54.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
54.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
54.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
54.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
54.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
54.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
54.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
53.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
53.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
53.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
53.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
53.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
53.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
52.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
52.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
52.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
52.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
52.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
52.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
52.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
52.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
52.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
52.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
52.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
52.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
52.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
51.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
51.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
51.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
51.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
51.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
51.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
51.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
51.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
51.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
51.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
51.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
51.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
51.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
50.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
50.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
50.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
50.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
50.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
50.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
50.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
50.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
50.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
50.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
49.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
49.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
49.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
49.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
49.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
49.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
49.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
49.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
49.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
49.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
48.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
48.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
48.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
48.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
48.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
48.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
48.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
48.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
48.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
48.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
48.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
48.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
47.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
47.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
47.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
47.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
47.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
47.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
47.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
47.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
47.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
47.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
47.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
47.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
47.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
47.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
47.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
47.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
46.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
46.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
46.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
46.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
46.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
46.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
46.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
46.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
46.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
46.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
46.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
46.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
46.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
46.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
45.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
45.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
45.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
45.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
45.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
45.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
45.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
45.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
45.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
45.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
45.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
45.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
45.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
45.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
45.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
44.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
44.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
44.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
44.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
44.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
44.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
44.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
44.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
44.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
44.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
44.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
44.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
44.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
44.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
44.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
44.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
44.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
43.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
43.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
43.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
43.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
43.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
43.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
43.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
43.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
43.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
43.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
43.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
43.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
43.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
43.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
43.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
43.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
43.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
42.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
42.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
42.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
42.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
42.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
42.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
42.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
42.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
42.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
42.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
41.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
41.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
41.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
41.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
41.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
41.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
41.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
41.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
41.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
41.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
41.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
41.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
41.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
41.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
41.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
41.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
41.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
41.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
40.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
40.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
40.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
40.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
40.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
40.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
40.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
40.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
40.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
40.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
40.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
40.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
40.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
39.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
39.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
39.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
39.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
39.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
39.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
39.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
39.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
39.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
39.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
39.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
39.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
39.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
39.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
39.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
39.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
38.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
38.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
38.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
38.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
38.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
38.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
38.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
38.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
38.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
38.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
38.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
38.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
38.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
38.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
37.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
37.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
37.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
37.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
37.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
37.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
37.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
37.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
37.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
37.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
37.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
37.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
37.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
37.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
37.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
37.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
37.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
37.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
37.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
37.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
36.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
36.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
36.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
36.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
36.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
36.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
36.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
36.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
36.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
35.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
35.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
35.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
35.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
35.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
35.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
35.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
34.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
34.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
34.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
34.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
34.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
34.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
34.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
34.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
34.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
34.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
34.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
34.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
33.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
33.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
33.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
33.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
33.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
33.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
33.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
33.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
32.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
32.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
32.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
32.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
32.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
32.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
32.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
32.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
32.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
32.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
32.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
32.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
32.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
31.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
31.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
31.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
31.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
31.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
31.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
31.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
31.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
29.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
29.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
29.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
29.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
29.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
29.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
28.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
28.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
28.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
27.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
27.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
27.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
27.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
26.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
26.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
26.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
25.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
25.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
24.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
23.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
21.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
21.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
15.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PSMD1 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
44.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
90.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
77.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
77.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
71.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
71.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
69.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
67.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
66.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
64.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
63.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
63.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
62.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
61.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
61.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
59.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
59.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
55.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
55.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
54.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
54.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
53.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
53.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
53.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
53.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
52.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
52.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
52.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
51.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
51.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
51.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
50.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
49.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
49.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
49.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
47.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
47.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
47.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
47.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
47.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
46.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
46.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
46.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
46.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
45.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
45.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
45.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
44.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
42.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
41.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
41.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
40.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
40.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
39.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
39.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
39.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
38.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
38.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
37.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
37.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
37.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
36.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
36.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
35.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
34.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
34.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
34.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
34.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
33.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
33.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
33.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
33.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
32.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
31.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
30.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
29.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
29.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
28.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
27.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
26.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
25.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
24.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
23.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
16.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
9.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PSMD1 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
42.5
Number of samples
207
Samples
Sample
Description
TPM
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
91.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
70.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
70.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
69.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
68.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
65.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
65.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
63.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
62.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
60.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
60.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
60.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
59.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
59.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
58.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
58.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
58.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
58.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
58.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
56.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
56.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
55.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
55.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
55.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
55.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
54.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
54.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
53.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
53.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
53.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
53.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
53.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
53.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
53.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
52.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
52.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
52.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
52.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
52.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
52.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
52.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
51.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
51.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
51.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
51.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
50.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
49.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
49.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
49.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
48.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
48.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
48.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
48.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
47.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
47.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
47.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
47.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
47.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
47.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
47.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
47.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
46.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
46.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
46.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
46.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
46.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
46.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
46.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
46.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
45.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
45.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
45.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
45.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
45.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
45.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
45.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
45.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
45.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
45.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
45.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
44.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
44.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
44.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
44.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
43.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
43.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
43.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
43.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
43.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
43.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
43.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
43.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
43.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
42.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
42.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
42.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
42.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
42.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
42.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
42.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
41.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
41.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
41.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
41.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
41.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
41.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
41.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
40.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
40.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
40.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
40.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
40.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
40.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
40.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
40.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
40.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
39.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
39.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
39.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
39.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
39.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
39.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
39.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
39.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
39.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
38.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
38.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
38.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
38.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
38.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
38.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
38.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
38.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
38.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
38.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
37.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
37.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
37.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
37.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
37.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
37.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
37.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
36.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
36.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
36.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
36.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
36.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
36.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
36.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
35.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
35.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
35.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
35.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
35.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
35.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
34.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
34.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
34.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
33.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
33.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
33.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
33.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
33.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
33.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
32.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
32.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
32.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
32.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
32.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
32.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
32.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
32.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
32.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
32.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
31.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
31.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
31.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
31.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
30.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
30.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
30.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
30.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
29.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
29.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
29.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
29.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
28.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
28.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
26.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
26.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
26.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
26.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
25.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
24.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
23.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
23.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
22.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
20.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
18.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
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Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
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Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
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Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
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Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
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Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
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Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
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Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
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
