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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.
SH3D19 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
32.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
83.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
78.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
72.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
67.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
66.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
64.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
60.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
60.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
60.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
58.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
58.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
57.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
57.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
57.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
55.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
55.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
55.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
55.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
53.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
53.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
51.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
51.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
51.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
50.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
50.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
50.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
50.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
49.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
49.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
48.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
48.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
48.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
48.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
47.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
47.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
47.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
47.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
47.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
47.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
46.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
46.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
45.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
45.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
45.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
45.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
44.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
44.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
44.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
44.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
43.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
43.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
43.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
43.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
42.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
42.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
41.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
41.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
41.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
41.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
40.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
40.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
40.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
40.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
40.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
40.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
40.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
39.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
39.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
39.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
39.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
39.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
38.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
38.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
38.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
38.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
38.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
38.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
38.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
38.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
38.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
38.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
37.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
37.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
37.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
37.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
37.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
37.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
37.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
37.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
37.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
37.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
37.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
37.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
36.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
36.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
36.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
36.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
36.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
36.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
36.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
36.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
35.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
35.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
35.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
35.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
35.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
34.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
34.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
34.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
34.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
34.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
33.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
33.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
33.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
33.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
33.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
33.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
32.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
32.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
32.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
32.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
32.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
32.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
32.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
32.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
32.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
31.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
31.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
31.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
31.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
31.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
31.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
30.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
30.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
30.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
30.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
29.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
29.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
29.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
29.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
29.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
28.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
28.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
28.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
28.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
28.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
28.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
28.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
28.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
28.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
28.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
28.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
28.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
27.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
27.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
27.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
27.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
27.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
27.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
27.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
27.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
26.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
26.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
26.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
26.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
26.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
26.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
25.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
25.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
25.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
25.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
25.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
25.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
25.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
25.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
25.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
25.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
25.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
24.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
24.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
24.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
24.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
24.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
24.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
24.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
24.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
23.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
23.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
23.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
23.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
23.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
22.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
22.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
22.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
22.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
22.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
22.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
22.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
22.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
22.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
22.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
21.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
21.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
21.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
21.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
20.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
20.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
20.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
20.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
19.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
19.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
19.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
19.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
19.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
19.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
18.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
18.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
18.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
18.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
18.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
17.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
17.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
17.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
16.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
16.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
16.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
16.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
16.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
16.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
16.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
16.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
16.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
16.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
16.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
16.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
15.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
15.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
15.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
15.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
14.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
14.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
13.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
13.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
13.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
12.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
12.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
12.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
9.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
9.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
9.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
5.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 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.
SH3D19 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
73.9
Number of samples
486
Samples
Sample
Description
TPM
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
170.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
164.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
162.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
148.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
144.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
141.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
138.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
137.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
134.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
132.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
132.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
128.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
126.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
125.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
122.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
121.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
121.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
121.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
119.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
118.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
117.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
116.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
116.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
116.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
116.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
116.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
115.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
114.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
112.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
112.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
111.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
111.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
111.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
109.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
108.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
108.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
107.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
107.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
107.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
107.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
106.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
106.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
106.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
106.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
105.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
105.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
105.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
103.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
103.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
102.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
102.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
102.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
101.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
101.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
101.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
101.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
100.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
99.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
99.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
99.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
99.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
99.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
98.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
98.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
98.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
97.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
97.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
96.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
96.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
96.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
96.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
96.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
96.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
96.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
96.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
96.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
96.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
95.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
95.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
95.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
94.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
94.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
94.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
93.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
93.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
93.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
93.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
93.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
92.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
92.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
92.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
91.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
91.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
91.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
91.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
91.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
91.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
90.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
90.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
90.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
90.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
90.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
90.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
90.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
90.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
89.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
89.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
88.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
88.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
88.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
87.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
87.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
87.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
87.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
87.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
87.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
87.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
87.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
87.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
87.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
87.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
86.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
86.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
86.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
86.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
86.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
86.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
86.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
86.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
85.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
85.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
85.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
85.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
85.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
85.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
84.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
84.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
84.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
84.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
84.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
84.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
84.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
84.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
84.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
83.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
83.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
83.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
83.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
83.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
82.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
82.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
82.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
81.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
81.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
81.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
81.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
81.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
81.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
80.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
80.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
80.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
80.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
80.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
80.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
80.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
80.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
80.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
80.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
79.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
79.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
79.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
79.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
79.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
78.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
78.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
78.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
78.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
78.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
78.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
78.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
78.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
78.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
78.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
78.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
77.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
77.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
77.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
77.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
77.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
76.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
76.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
76.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
76.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
76.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
76.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
76.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
76.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
76.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
76.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
76.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
76.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
75.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
75.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
75.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
75.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
75.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
75.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
75.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
75.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
75.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
75.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
74.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
74.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
74.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
74.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
74.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
74.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
74.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
74.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
74.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
73.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
73.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
73.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
73.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
73.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
73.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
73.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
73.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
73.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
73.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
73.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
72.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
72.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
72.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
72.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
72.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
72.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
72.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
72.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
72.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
72.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
72.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
72.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
71.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
71.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
71.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
71.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
71.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
71.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
71.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
71.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
71.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
71.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
71.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
71.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
71.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
71.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
70.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
70.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
70.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
70.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
70.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
70.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
70.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
69.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
69.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
69.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
69.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
69.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
69.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
69.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
68.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
68.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
68.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
68.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
68.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
68.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
68.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
68.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
68.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
68.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
68.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
68.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
67.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
67.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
67.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
67.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
67.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
66.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
66.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
66.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
66.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
66.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
66.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
66.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
66.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
66.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
66.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
66.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
66.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
66.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
66.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
66.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
65.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
65.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
65.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
65.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
65.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
65.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
65.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
64.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
64.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
64.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
64.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
64.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
64.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
64.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
64.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
64.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
64.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
64.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
64.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
63.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
63.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
63.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
63.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
63.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
63.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
63.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
63.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
63.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
63.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
63.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
63.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
62.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
62.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
62.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
62.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
62.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
62.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
62.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
62.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
62.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
61.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
61.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
61.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
61.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
61.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
61.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
60.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
60.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
60.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
60.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
60.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
60.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
60.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
59.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
59.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
59.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
59.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
59.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
59.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
59.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
59.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
59.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
59.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
59.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
58.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
58.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
58.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
58.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
58.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
58.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
58.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
58.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
58.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
58.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
58.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
57.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
57.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
57.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
57.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
57.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
57.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
57.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
57.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
57.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
56.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
56.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
56.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
56.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
56.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
56.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
56.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
56.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
56.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
55.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
55.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
55.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
55.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
54.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
53.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
53.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
53.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
53.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
53.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
53.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
53.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
53.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
53.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
52.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
52.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
52.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
51.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
51.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
51.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
51.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
51.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
50.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
50.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
50.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
50.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
50.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
50.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
49.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
49.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
49.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
49.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
48.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
48.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
48.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
47.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
47.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
47.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
47.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
46.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
46.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
46.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
45.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
45.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
45.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
45.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
44.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
44.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
44.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
44.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
44.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
43.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
43.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
43.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
43.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
42.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
42.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
42.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
42.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
42.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
42.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
41.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
41.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
40.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
40.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
39.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
39.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
39.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
38.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
38.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
37.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
36.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
36.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
35.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
33.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
31.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
30.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
28.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
27.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
27.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
26.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
24.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
23.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
19.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
16.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
12.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.8
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.
SH3D19 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
33.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
73.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
71.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
64.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
63.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
57.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
55.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
55.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
55.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
52.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
51.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
51.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
50.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
48.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
48.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
47.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
47.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
47.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
46.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
46.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
44.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
44.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
43.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
43.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
42.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
42.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
41.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
41.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
40.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
38.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
38.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
38.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
38.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
38.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
37.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
37.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
35.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
34.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
34.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
34.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
33.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
33.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
33.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
32.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
31.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
31.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
30.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
30.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
30.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
30.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
30.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
29.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
28.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
28.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
28.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
27.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
27.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
27.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
27.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
27.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
27.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
26.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
26.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
26.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
26.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
25.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
25.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
25.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
25.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
24.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
23.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
23.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
23.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
22.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
19.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
19.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
18.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
18.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
18.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
17.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
16.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
14.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
13.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
13.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
12.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
12.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.9
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.
SH3D19 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
75.9
Number of samples
207
Samples
Sample
Description
TPM
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
267.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
208.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
134.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
128.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
128.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
125.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
123.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
119.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
118.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
118.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
116.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
114.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
113.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
111.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
111.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
109.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
108.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
108.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
107.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
107.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
106.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
105.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
104.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
103.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
100.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
100.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
100.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
100.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
100.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
99.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
97.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
97.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
97.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
97.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
97.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
97.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
96.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
96.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
95.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
95.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
95.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
93.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
92.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
92.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
92.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
91.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
91.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
90.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
90.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
90.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
89.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
88.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
88.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
88.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
88.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
87.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
87.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
87.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
86.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
84.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
84.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
84.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
84.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
84.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
83.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
82.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
82.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
82.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
81.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
81.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
81.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
80.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
79.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
79.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
79.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
79.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
79.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
78.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
78.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
77.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
77.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
77.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
77.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
76.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
76.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
76.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
76.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
76.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
75.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
75.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
75.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
75.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
75.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
74.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
74.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
74.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
74.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
73.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
73.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
73.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
72.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
71.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
71.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
71.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
71.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
70.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
70.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
70.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
70.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
70.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
69.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
69.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
69.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
69.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
68.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
68.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
68.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
68.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
68.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
67.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
67.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
67.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
67.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
67.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
67.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
66.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
66.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
66.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
66.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
65.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
65.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
65.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
65.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
64.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
64.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
64.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
64.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
64.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
64.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
63.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
63.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
63.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
63.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
62.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
62.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
61.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
61.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
61.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
60.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
58.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
58.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
58.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
58.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
58.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
57.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
57.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
57.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
57.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
57.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
56.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
56.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
56.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
55.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
55.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
55.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
54.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
54.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
54.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
54.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
53.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
53.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
53.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
53.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
53.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
53.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
53.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
53.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
52.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
52.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
52.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
52.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
52.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
52.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
51.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
51.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
51.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
51.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
50.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
49.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
49.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
49.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
49.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
49.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
49.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
47.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
47.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
47.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
46.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
46.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
45.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
39.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
38.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
38.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
36.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
1.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.9
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.9
1c070992-647b-4173-a481-904c4d_D2
Normal
0.8
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.7
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
