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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.
CD276 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
32.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
142.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
89.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
87.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
84.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
80.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
79.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
73.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
69.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
68.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
65.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
65.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
65.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
63.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
61.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
59.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
58.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
58.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
58.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
58.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
57.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
56.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
56.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
55.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
54.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
53.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
53.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
53.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
52.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
52.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
52.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
51.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
50.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
50.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
50.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
50.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
50.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
50.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
47.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
47.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
47.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
46.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
46.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
46.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
45.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
45.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
44.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
44.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
44.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
44.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
43.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
43.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
43.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
43.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
43.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
43.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
42.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
41.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
41.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
41.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
41.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
41.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
41.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
41.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
41.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
40.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
40.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
40.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
40.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
40.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
39.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
39.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
39.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
38.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
38.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
38.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
37.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
37.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
37.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
37.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
36.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
36.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
36.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
36.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
36.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
36.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
35.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
35.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
35.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
35.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
35.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
34.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
34.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
34.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
34.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
34.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
34.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
33.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
33.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
33.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
33.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
33.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
33.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
33.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
33.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
33.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
33.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
33.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
33.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
32.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
32.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
32.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
32.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
32.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
32.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
32.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
32.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
32.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
32.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
31.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
31.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
31.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
31.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
31.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
30.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
30.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
30.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
30.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
29.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
29.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
29.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
28.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
28.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
28.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
28.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
28.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
28.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
28.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
28.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
28.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
27.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
27.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
27.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
27.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
27.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
27.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
26.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
26.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
26.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
26.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
26.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
25.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
25.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
25.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
25.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
25.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
25.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
25.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
25.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
25.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
25.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
25.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
25.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
24.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
24.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
24.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
24.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
24.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
24.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
24.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
24.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
24.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
24.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
23.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
23.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
23.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
23.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
22.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
22.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
22.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
22.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
22.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
21.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
21.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
20.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
20.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
20.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
20.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
19.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
19.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
19.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
19.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
19.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
19.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
19.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
18.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
18.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
18.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
18.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
18.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
18.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
17.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
17.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
17.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
17.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
17.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
17.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
16.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
16.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
16.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
16.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
16.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
15.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
15.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
15.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
15.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
14.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
14.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
14.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
14.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
13.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
13.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
13.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
13.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
13.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
13.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
12.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
12.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
12.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
12.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
11.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
11.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
11.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
11.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
10.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
10.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
10.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
10.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
10.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
9.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
8.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
8.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
8.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
8.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
8.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
8.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
7.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
7.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
7.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
6.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
6.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
5.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
CD276 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
29.4
Number of samples
486
Samples
Sample
Description
TPM
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
79.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
76.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
74.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
68.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
66.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
66.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
65.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
64.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
64.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
62.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
61.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
61.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
60.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
59.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
57.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
57.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
56.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
55.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
55.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
55.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
54.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
54.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
53.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
53.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
53.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
52.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
52.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
51.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
51.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
51.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
51.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
50.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
50.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
49.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
49.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
49.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
47.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
47.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
47.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
47.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
47.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
47.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
47.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
46.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
46.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
46.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
46.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
45.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
45.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
45.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
45.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
45.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
45.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
44.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
44.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
44.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
44.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
44.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
43.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
43.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
43.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
43.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
43.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
43.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
43.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
43.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
42.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
42.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
42.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
41.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
41.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
41.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
41.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
41.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
41.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
40.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
40.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
40.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
40.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
40.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
40.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
39.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
39.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
39.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
39.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
39.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
39.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
39.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
39.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
39.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
39.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
38.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
38.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
38.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
38.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
38.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
38.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
38.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
38.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
38.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
38.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
37.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
37.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
37.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
37.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
37.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
37.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
37.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
37.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
37.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
37.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
36.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
36.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
36.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
36.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
35.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
35.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
35.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
35.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
35.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
35.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
35.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
35.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
35.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
35.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
34.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
34.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
34.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
34.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
34.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
34.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
34.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
34.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
34.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
34.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
34.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
34.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
34.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
34.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
34.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
33.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
33.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
33.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
33.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
33.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
33.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
33.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
33.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
33.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
33.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
33.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
32.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
32.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
32.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
32.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
32.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
32.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
32.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
32.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
32.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
32.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
32.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
32.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
32.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
32.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
31.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
31.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
31.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
31.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
31.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
31.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
31.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
31.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
31.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
31.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
31.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
31.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
31.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
31.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
31.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
31.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
31.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
30.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
30.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
30.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
30.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
30.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
30.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
30.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
30.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
30.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
29.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
29.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
29.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
29.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
29.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
29.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
29.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
29.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
29.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
29.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
29.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
29.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
29.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
29.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
28.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
28.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
28.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
28.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
28.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
28.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
28.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
28.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
28.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
28.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
28.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
28.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
28.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
28.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
28.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
28.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
28.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
27.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
27.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
27.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
27.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
27.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
27.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
27.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
27.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
27.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
27.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
27.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
27.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
27.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
27.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
27.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
27.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
27.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
27.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
27.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
26.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
26.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
26.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
26.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
26.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
26.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
26.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
26.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
26.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
26.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
26.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
26.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
26.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
25.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
25.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
25.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
25.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
25.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
25.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
25.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
25.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
25.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
25.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
25.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
25.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
25.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
25.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
25.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
25.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
25.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
25.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
25.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
25.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
25.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
24.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
24.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
24.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
24.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
24.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
24.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
24.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
24.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
24.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
24.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
24.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
24.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
24.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
24.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
24.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
24.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
24.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
24.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
24.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
24.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
24.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
23.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
23.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
23.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
23.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
23.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
23.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
23.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
23.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
23.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
23.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
23.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
23.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
23.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
23.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
23.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
23.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
23.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
22.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
22.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
22.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
22.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
22.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
22.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
22.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
22.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
22.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
22.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
22.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
22.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
22.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
22.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
22.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
22.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
22.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
22.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
22.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
21.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
21.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
21.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
21.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
21.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
21.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
21.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
21.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
21.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
21.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
21.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
21.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
21.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
20.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
20.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
20.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
20.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
20.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
20.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
20.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
20.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
20.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
20.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
20.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
20.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
20.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
20.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
20.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
20.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
20.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
19.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
19.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
19.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
19.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
19.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
19.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
19.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
19.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
19.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
19.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
19.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
19.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
19.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
19.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
19.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
18.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
18.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
18.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
18.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
18.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
18.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
18.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
18.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
18.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
18.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
18.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
18.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
18.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
18.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
18.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
17.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
17.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
17.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
17.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
17.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
17.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
17.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
17.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
17.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
17.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
17.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
17.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
17.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
17.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
17.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
17.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
17.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
17.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
17.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
16.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
16.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
16.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
16.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
16.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
16.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
16.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
16.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
16.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
16.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
16.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
16.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
16.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
16.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
16.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
16.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
16.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
16.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
15.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
15.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
15.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
15.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
15.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
15.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
15.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
14.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
14.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
14.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
14.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
14.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
14.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
14.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
14.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
14.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
14.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
14.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
14.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
13.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
13.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
13.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
13.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
13.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
13.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
13.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
13.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
13.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
13.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
13.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
12.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
12.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
12.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
12.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
11.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
11.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
10.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
10.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
9.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
9.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
9.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
9.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
7.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
1.2
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.
CD276 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
30.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
114.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
76.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
67.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
66.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
60.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
59.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
56.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
56.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
52.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
51.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
48.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
46.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
45.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
45.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
44.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
44.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
44.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
43.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
42.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
41.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
41.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
40.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
39.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
38.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
36.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
35.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
34.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
34.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
34.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
33.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
33.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
32.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
31.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
31.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
31.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
31.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
30.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
28.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
27.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
27.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
27.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
26.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
26.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
26.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
26.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
25.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
25.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
24.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
24.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
24.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
24.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
24.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
23.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
23.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
23.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
23.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
23.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
22.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
21.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
21.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
20.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
20.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
20.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
20.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
20.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
19.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
19.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
18.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
18.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
18.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
17.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
17.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
15.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
14.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
13.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
13.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
13.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
12.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
12.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
12.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
11.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
8.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
6.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
5.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
3.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CD276 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
24.3
Number of samples
207
Samples
Sample
Description
TPM
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
68.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
66.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
59.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
54.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
52.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
49.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
49.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
46.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
45.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
45.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
44.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
44.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
43.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
43.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
43.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
42.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
41.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
41.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
41.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
41.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
40.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
40.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
40.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
40.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
39.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
38.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
38.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
38.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
37.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
37.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
36.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
36.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
36.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
36.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
34.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
34.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
34.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
34.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
33.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
33.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
32.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
32.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
32.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
31.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
31.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
31.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
31.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
31.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
29.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
29.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
29.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
29.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
29.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
29.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
28.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
28.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
28.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
28.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
27.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
27.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
27.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
27.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
27.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
27.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
27.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
27.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
27.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
26.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
26.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
26.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
26.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
26.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
26.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
26.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
25.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
25.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
25.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
25.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
24.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
24.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
24.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
24.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
24.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
23.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
23.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
23.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
23.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
23.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
23.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
23.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
23.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
23.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
23.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
22.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
22.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
22.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
22.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
22.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
22.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
22.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
22.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
22.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
22.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
22.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
22.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
22.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
22.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
22.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
22.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
21.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
21.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
21.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
21.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
21.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
21.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
21.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
21.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
20.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
20.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
20.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
20.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
20.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
20.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
20.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
20.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
19.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
19.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
19.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
18.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
18.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
18.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
18.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
18.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
18.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
18.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
18.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
18.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
18.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
18.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
18.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
18.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
17.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
17.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
16.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
16.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
16.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
16.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
15.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
15.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
15.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
15.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
15.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
15.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
15.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
14.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
14.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
14.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
14.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
14.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
14.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
14.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
14.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
14.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
14.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
14.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
14.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
14.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
14.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
13.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
13.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
13.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
13.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
13.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
13.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
13.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
13.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
13.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
13.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
12.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
12.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
12.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
12.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
11.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
11.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
11.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
11.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
11.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
11.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
11.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
11.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
11.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
11.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
11.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
10.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
10.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
10.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
10.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
10.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
10.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
9.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
9.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
8.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
8.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
8.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
7.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
1.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
1.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.8
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
