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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.
SELENOT 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
48.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
115.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
110.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
110.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
97.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
92.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
90.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
85.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
81.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
80.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
79.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
78.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
77.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
77.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
77.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
76.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
76.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
75.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
74.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
74.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
74.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
72.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
72.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
71.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
70.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
70.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
70.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
69.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
69.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
69.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
69.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
69.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
68.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
68.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
65.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
65.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
63.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
63.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
62.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
62.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
62.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
62.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
61.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
61.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
61.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
60.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
60.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
60.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
59.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
59.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
59.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
59.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
58.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
58.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
58.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
58.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
57.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
57.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
57.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
57.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
57.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
57.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
56.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
56.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
56.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
55.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
55.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
55.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
55.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
54.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
54.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
54.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
54.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
53.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
53.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
53.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
53.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
53.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
53.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
53.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
53.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
53.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
52.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
52.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
52.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
52.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
52.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
52.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
51.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
51.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
51.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
51.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
51.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
51.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
51.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
51.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
50.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
50.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
50.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
50.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
50.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
50.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
50.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
50.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
50.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
49.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
49.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
49.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
49.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
49.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
49.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
49.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
48.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
48.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
48.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
48.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
47.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
47.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
47.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
47.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
47.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
47.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
47.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
46.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
46.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
46.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
46.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
46.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
45.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
45.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
45.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
45.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
45.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
45.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
45.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
45.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
44.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
44.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
44.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
44.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
43.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
43.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
43.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
43.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
43.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
43.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
43.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
43.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
42.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
42.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
42.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
42.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
42.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
42.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
42.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
42.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
42.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
42.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
41.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
41.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
41.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
41.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
41.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
41.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
41.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
41.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
41.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
40.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
40.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
40.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
40.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
40.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
39.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
39.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
39.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
39.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
39.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
39.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
39.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
38.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
38.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
38.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
38.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
38.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
38.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
38.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
38.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
38.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
37.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
37.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
37.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
37.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
37.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
36.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
36.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
36.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
36.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
36.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
36.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
36.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
36.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
36.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
36.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
36.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
36.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
35.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
35.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
35.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
35.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
34.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
34.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
34.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
33.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
33.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
33.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
33.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
33.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
32.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
32.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
32.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
31.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
31.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
31.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
30.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
30.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
30.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
30.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
30.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
29.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
29.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
29.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
29.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
29.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
29.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
28.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
28.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
28.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
28.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
28.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
27.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
27.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
27.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
26.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
25.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
25.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
25.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
25.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
25.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
25.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
24.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
22.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
21.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
21.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 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.
SELENOT 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
43.0
Number of samples
486
Samples
Sample
Description
TPM
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
107.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
90.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
81.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
80.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
77.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
76.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
74.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
71.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
70.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
69.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
69.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
68.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
67.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
66.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
66.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
65.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
63.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
63.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
62.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
62.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
61.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
61.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
61.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
60.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
60.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
60.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
60.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
59.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
59.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
59.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
59.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
59.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
58.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
58.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
57.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
57.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
57.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
57.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
57.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
57.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
56.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
56.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
55.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
55.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
55.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
55.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
55.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
55.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
55.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
55.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
54.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
54.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
54.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
54.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
54.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
54.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
54.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
54.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
54.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
54.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
54.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
54.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
53.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
53.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
53.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
53.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
53.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
53.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
53.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
53.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
53.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
52.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
52.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
52.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
52.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
52.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
52.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
52.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
52.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
52.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
52.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
51.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
51.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
51.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
51.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
51.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
51.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
50.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
50.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
50.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
50.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
50.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
50.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
50.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
50.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
50.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
50.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
50.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
50.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
50.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
50.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
50.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
49.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
49.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
49.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
49.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
49.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
49.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
49.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
49.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
49.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
49.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
49.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
49.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
49.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
49.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
49.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
49.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
48.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
48.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
48.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
48.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
48.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
48.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
48.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
48.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
48.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
48.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
48.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
48.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
48.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
47.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
47.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
47.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
47.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
47.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
47.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
47.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
47.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
47.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
47.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
47.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
47.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
47.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
47.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
47.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
47.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
46.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
46.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
46.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
46.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
46.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
46.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
46.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
46.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
46.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
46.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
46.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
46.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
46.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
46.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
46.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
46.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
46.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
45.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
45.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
45.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
45.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
45.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
45.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
45.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
45.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
45.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
45.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
45.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
45.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
45.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
45.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
45.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
45.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
44.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
44.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
44.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
44.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
44.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
44.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
44.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
44.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
44.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
44.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
44.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
44.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
44.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
44.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
44.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
44.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
44.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
44.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
44.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
44.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
44.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
44.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
44.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
44.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
44.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
44.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
43.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
43.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
43.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
43.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
43.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
43.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
43.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
43.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
43.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
43.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
43.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
43.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
43.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
43.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
43.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
43.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
43.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
43.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
43.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
43.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
42.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
42.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
42.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
42.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
42.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
42.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
42.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
42.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
42.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
42.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
42.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
42.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
42.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
42.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
42.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
42.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
42.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
41.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
41.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
41.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
41.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
41.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
41.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
41.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
41.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
41.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
41.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
41.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
41.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
41.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
41.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
41.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
41.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
41.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
41.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
41.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
41.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
41.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
41.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
40.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
40.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
40.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
40.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
40.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
40.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
40.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
40.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
40.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
40.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
40.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
40.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
40.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
40.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
39.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
39.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
39.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
39.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
39.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
39.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
39.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
39.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
39.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
39.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
39.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
39.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
39.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
39.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
39.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
39.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
39.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
39.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
39.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
39.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
39.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
39.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
39.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
38.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
38.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
38.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
38.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
38.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
38.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
38.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
38.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
38.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
38.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
38.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
38.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
38.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
38.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
38.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
38.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
38.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
38.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
38.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
38.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
38.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
38.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
38.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
38.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
37.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
37.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
37.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
37.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
37.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
37.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
37.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
37.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
37.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
37.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
37.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
37.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
37.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
37.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
37.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
36.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
36.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
36.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
36.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
36.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
36.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
36.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
36.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
36.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
36.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
36.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
36.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
36.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
36.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
35.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
35.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
35.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
35.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
35.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
35.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
35.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
35.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
35.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
35.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
35.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
35.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
35.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
35.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
35.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
35.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
35.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
35.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
35.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
35.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
34.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
34.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
34.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
34.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
34.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
34.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
34.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
34.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
34.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
34.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
34.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
34.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
34.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
34.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
34.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
34.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
34.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
34.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
33.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
33.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
33.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
33.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
32.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
32.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
32.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
32.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
32.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
32.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
32.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
31.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
31.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
31.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
31.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
31.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
31.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
31.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
31.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
31.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
31.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
31.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
31.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
31.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
31.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
31.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
31.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
30.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
30.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
30.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
30.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
30.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
30.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
29.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
29.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
29.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
29.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
29.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
28.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
28.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
28.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
28.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
28.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
28.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
28.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
28.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
27.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
27.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
27.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
27.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
27.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
27.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
27.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
26.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
26.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
26.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
26.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
25.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
25.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
25.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
25.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
24.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
24.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
24.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
24.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
23.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
22.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
22.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
22.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
22.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
13.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.9
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.
SELENOT is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
48.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
106.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
94.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
83.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
83.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
81.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
80.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
80.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
78.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
77.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
74.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
71.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
71.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
69.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
68.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
68.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
63.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
62.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
61.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
60.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
59.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
56.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
55.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
55.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
54.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
54.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
53.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
52.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
52.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
52.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
52.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
52.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
52.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
51.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
51.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
51.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
50.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
50.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
50.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
50.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
49.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
49.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
48.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
48.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
48.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
48.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
48.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
47.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
47.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
47.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
46.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
44.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
44.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
44.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
42.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
42.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
42.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
41.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
41.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
41.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
40.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
40.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
39.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
39.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
39.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
38.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
38.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
38.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
37.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
37.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
37.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
36.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
35.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
33.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
33.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
32.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
31.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
30.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
30.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
29.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
27.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
23.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
21.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
20.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
15.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
14.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
14.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
12.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SELENOT 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
38.2
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
76.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
73.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
66.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
58.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
57.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
56.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
55.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
54.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
54.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
54.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
53.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
53.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
53.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
52.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
51.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
51.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
50.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
50.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
49.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
49.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
49.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
49.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
48.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
48.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
48.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
47.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
47.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
47.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
46.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
46.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
46.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
46.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
46.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
46.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
46.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
45.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
45.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
45.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
45.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
45.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
45.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
44.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
44.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
44.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
44.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
44.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
43.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
43.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
43.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
43.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
43.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
43.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
43.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
42.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
42.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
42.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
42.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
42.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
42.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
42.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
42.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
42.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
42.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
41.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
41.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
41.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
41.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
41.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
41.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
41.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
40.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
40.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
40.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
40.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
40.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
40.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
40.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
40.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
40.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
39.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
39.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
39.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
39.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
39.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
39.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
38.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
38.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
38.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
38.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
38.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
38.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
38.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
38.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
38.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
38.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
37.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
37.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
37.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
37.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
37.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
37.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
37.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
37.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
37.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
37.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
37.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
37.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
37.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
36.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
36.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
36.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
36.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
36.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
36.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
36.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
36.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
36.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
35.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
35.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
35.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
35.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
35.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
35.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
35.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
35.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
35.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
35.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
35.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
34.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
34.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
34.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
34.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
34.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
34.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
34.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
34.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
34.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
34.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
34.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
34.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
33.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
33.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
33.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
33.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
33.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
33.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
32.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
32.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
32.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
32.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
31.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
31.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
31.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
31.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
31.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
31.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
31.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
30.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
30.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
30.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
30.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
30.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
30.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
30.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
30.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
30.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
30.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
29.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
29.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
29.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
29.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
29.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
29.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
29.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
28.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
28.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
28.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
28.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
28.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
28.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
27.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
27.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
27.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
27.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
27.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
26.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
26.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
26.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
26.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
26.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
26.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
23.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
23.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
23.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
23.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
23.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
21.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
19.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
17.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
1.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.9
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-1.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
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
