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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.
TMEM30A 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
39.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
183.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
152.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
148.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
109.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
97.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
97.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
88.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
83.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
78.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
71.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
65.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
64.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
63.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
61.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
60.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
60.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
60.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
59.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
58.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
57.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
56.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
55.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
54.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
54.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
53.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
53.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
53.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
53.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
52.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
52.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
52.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
51.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
51.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
50.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
50.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
50.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
48.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
48.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
48.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
48.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
48.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
47.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
47.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
47.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
47.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
47.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
47.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
47.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
46.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
46.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
46.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
46.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
45.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
45.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
45.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
45.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
45.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
45.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
45.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
45.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
44.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
44.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
44.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
44.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
44.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
44.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
43.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
43.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
43.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
43.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
43.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
43.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
43.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
43.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
43.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
43.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
43.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
43.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
42.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
42.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
42.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
42.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
42.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
42.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
42.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
41.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
41.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
41.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
41.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
41.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
41.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
41.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
41.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
41.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
40.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
40.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
40.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
40.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
39.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
39.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
39.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
39.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
39.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
39.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
39.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
38.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
38.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
38.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
38.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
38.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
38.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
37.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
37.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
37.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
37.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
37.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
37.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
37.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
37.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
37.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
37.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
37.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
36.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
36.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
36.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
36.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
36.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
36.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
35.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
35.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
35.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
35.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
35.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
35.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
34.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
34.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
34.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
34.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
34.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
34.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
34.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
34.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
34.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
34.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
33.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
33.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
33.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
33.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
33.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
33.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
33.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
33.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
33.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
33.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
33.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
32.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
32.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
32.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
32.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
32.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
32.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
32.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
32.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
32.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
31.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
31.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
31.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
31.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
31.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
31.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
31.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
31.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
31.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
31.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
31.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
31.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
31.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
30.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
30.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
30.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
30.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
30.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
30.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
30.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
29.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
29.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
29.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
29.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
29.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
28.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
28.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
28.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
28.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
28.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
28.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
28.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
27.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
27.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
27.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
27.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
27.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
26.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
26.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
26.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
26.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
26.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
26.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
26.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
26.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
26.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
25.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
25.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
25.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
25.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
25.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
24.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
24.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
24.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
24.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
24.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
24.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
23.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
23.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
23.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
22.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
22.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
22.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
22.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
22.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
22.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
22.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
22.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
21.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
21.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
21.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
21.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
20.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
20.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
20.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
20.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
20.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
20.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
19.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
19.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
19.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
19.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
18.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
18.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
17.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
17.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
16.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
15.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 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.
TMEM30A 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
81.5
Number of samples
486
Samples
Sample
Description
TPM
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
163.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
156.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
155.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
147.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
145.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
142.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
142.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
141.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
141.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
140.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
140.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
140.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
139.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
139.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
135.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
135.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
134.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
133.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
133.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
132.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
131.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
131.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
129.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
128.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
125.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
124.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
123.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
123.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
121.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
121.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
120.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
120.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
120.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
119.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
119.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
119.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
119.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
117.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
117.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
116.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
116.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
116.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
115.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
115.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
114.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
114.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
114.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
113.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
113.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
113.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
112.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
112.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
111.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
110.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
110.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
110.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
109.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
109.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
109.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
109.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
109.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
109.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
109.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
108.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
108.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
108.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
108.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
108.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
108.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
107.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
107.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
107.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
106.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
106.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
106.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
105.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
105.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
105.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
105.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
104.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
104.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
104.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
103.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
102.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
102.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
101.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
101.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
101.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
101.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
100.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
100.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
100.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
100.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
100.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
100.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
100.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
99.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
98.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
98.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
98.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
98.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
98.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
98.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
97.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
97.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
97.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
97.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
97.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
97.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
96.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
96.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
96.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
96.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
96.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
95.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
95.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
95.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
95.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
95.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
94.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
94.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
94.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
94.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
93.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
93.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
93.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
93.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
93.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
93.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
92.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
92.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
92.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
92.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
92.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
91.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
91.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
91.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
91.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
91.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
91.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
90.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
90.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
90.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
90.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
90.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
90.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
90.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
90.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
90.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
90.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
89.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
89.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
89.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
89.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
89.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
89.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
89.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
88.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
88.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
88.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
88.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
88.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
88.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
87.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
87.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
87.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
87.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
87.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
87.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
87.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
87.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
87.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
87.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
87.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
86.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
86.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
86.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
86.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
86.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
86.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
86.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
86.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
86.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
86.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
86.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
85.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
85.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
85.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
85.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
85.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
85.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
85.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
85.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
85.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
85.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
84.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
84.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
84.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
84.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
84.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
84.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
84.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
84.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
83.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
83.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
83.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
83.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
83.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
82.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
82.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
82.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
82.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
82.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
82.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
82.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
82.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
82.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
82.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
82.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
82.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
81.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
81.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
81.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
81.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
81.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
80.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
80.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
80.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
80.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
80.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
79.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
79.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
79.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
79.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
79.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
79.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
79.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
79.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
78.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
78.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
78.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
78.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
78.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
78.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
78.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
78.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
78.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
78.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
78.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
78.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
77.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
77.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
77.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
77.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
77.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
77.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
76.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
76.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
76.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
76.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
76.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
76.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
76.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
76.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
76.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
76.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
76.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
76.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
76.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
76.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
76.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
76.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
76.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
76.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
75.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
75.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
75.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
75.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
75.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
75.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
74.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
74.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
74.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
74.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
74.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
74.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
73.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
73.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
73.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
73.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
73.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
73.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
73.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
73.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
73.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
73.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
73.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
73.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
72.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
72.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
72.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
72.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
72.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
72.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
72.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
72.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
72.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
72.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
72.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
72.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
72.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
72.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
71.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
71.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
71.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
71.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
71.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
71.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
71.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
71.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
70.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
70.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
70.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
70.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
70.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
69.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
69.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
69.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
69.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
69.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
69.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
69.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
69.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
69.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
69.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
69.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
68.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
68.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
68.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
68.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
68.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
68.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
68.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
68.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
68.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
68.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
68.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
67.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
67.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
67.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
67.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
67.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
67.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
67.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
67.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
67.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
67.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
67.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
67.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
66.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
66.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
66.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
66.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
66.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
66.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
66.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
65.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
65.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
65.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
65.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
65.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
65.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
65.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
65.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
65.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
65.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
65.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
65.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
64.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
64.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
63.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
63.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
63.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
63.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
63.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
63.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
62.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
62.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
62.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
61.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
61.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
60.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
60.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
60.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
60.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
59.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
59.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
59.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
59.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
59.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
59.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
59.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
59.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
59.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
58.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
58.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
58.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
58.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
58.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
58.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
58.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
58.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
57.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
57.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
57.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
57.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
57.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
57.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
57.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
57.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
57.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
57.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
56.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
56.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
56.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
56.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
56.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
56.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
55.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
55.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
55.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
55.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
55.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
55.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
55.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
55.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
54.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
54.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
54.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
53.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
53.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
53.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
53.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
53.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
53.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
53.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
53.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
53.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
52.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
52.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
52.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
52.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
52.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
51.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
51.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
51.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
50.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
50.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
49.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
49.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
48.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
48.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
48.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
48.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
47.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
47.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
47.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
47.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
46.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
45.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
42.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
41.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
41.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
41.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
41.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
40.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
40.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
37.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
36.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
36.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
35.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
31.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
16.0
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.
TMEM30A 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
39.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
90.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
77.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
69.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
60.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
57.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
56.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
56.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
55.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
55.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
54.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
54.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
53.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
53.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
52.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
52.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
51.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
51.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
51.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
51.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
50.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
50.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
50.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
47.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
47.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
47.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
46.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
45.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
45.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
45.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
44.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
43.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
43.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
43.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
42.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
42.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
41.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
41.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
40.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
40.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
40.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
40.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
40.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
40.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
39.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
39.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
39.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
38.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
38.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
38.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
36.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
36.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
35.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
35.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
35.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
34.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
34.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
34.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
34.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
33.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
33.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
33.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
32.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
31.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
31.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
29.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
29.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
29.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
28.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
26.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
26.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
25.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
25.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
24.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
23.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
23.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
23.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
22.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
22.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
22.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
21.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
20.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
19.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
18.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
17.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
16.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
15.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
13.5
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.
TMEM30A 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
79.0
Number of samples
207
Samples
Sample
Description
TPM
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
233.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
217.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
215.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
208.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
203.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
200.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
198.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
187.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
168.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
164.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
163.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
160.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
158.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
154.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
148.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
146.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
145.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
145.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
142.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
129.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
129.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
125.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
124.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
124.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
123.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
121.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
116.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
113.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
112.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
110.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
110.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
108.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
103.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
103.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
101.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
101.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
99.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
98.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
96.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
96.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
96.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
95.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
94.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
94.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
92.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
91.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
91.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
89.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
88.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
87.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
86.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
86.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
86.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
86.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
86.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
86.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
85.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
85.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
85.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
84.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
84.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
84.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
84.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
83.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
83.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
82.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
82.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
82.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
82.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
82.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
81.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
81.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
80.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
80.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
80.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
79.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
78.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
78.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
78.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
77.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
77.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
77.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
76.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
76.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
76.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
75.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
75.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
75.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
74.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
74.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
74.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
74.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
73.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
73.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
73.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
73.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
73.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
72.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
72.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
71.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
71.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
71.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
70.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
69.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
68.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
68.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
68.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
68.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
67.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
67.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
67.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
67.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
66.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
66.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
66.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
65.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
65.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
64.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
64.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
64.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
63.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
62.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
62.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
62.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
62.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
62.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
62.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
62.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
61.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
61.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
61.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
61.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
60.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
60.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
60.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
60.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
60.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
60.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
60.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
60.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
59.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
59.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
58.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
58.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
58.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
58.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
58.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
58.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
57.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
56.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
56.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
55.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
55.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
54.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
54.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
53.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
53.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
53.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
53.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
52.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
52.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
52.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
51.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
51.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
51.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
51.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
51.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
50.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
50.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
50.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
50.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
50.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
49.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
49.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
49.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
49.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
48.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
48.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
47.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
47.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
47.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
47.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
45.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
45.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
45.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
45.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
44.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
41.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
41.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
41.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
41.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
41.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
39.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
39.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
39.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
38.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
37.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
36.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
35.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
30.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
26.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
348f6009-e1be-44d2-a093-9ca844_D2
Normal
1.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-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.