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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.
PNRC1 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
42.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
169.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
103.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
102.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
101.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
88.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
86.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
79.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
78.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
78.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
77.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
74.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
74.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
73.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
73.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
73.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
71.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
70.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
70.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
68.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
68.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
67.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
67.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
66.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
66.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
65.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
65.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
65.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
64.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
63.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
62.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
61.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
60.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
60.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
59.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
59.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
58.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
57.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
57.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
56.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
56.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
56.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
56.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
56.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
56.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
55.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
55.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
55.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
55.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
55.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
55.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
54.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
54.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
54.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
53.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
53.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
53.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
53.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
52.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
52.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
52.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
52.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
52.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
52.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
51.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
51.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
50.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
50.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
50.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
49.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
48.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
48.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
48.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
48.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
48.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
47.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
47.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
47.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
47.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
47.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
47.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
47.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
47.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
46.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
46.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
46.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
46.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
46.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
46.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
46.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
46.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
45.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
45.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
45.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
45.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
44.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
44.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
43.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
43.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
43.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
42.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
42.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
42.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
42.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
42.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
42.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
42.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
42.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
41.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
41.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
41.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
41.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
41.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
41.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
41.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
41.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
41.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
40.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
40.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
39.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
39.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
39.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
38.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
38.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
38.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
38.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
38.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
38.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
38.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
38.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
38.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
38.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
37.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
37.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
37.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
37.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
37.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
37.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
37.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
37.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
37.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
37.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
37.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
36.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
36.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
36.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
36.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
36.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
36.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
36.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
35.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
35.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
35.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
35.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
35.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
35.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
35.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
35.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
34.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
34.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
33.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
33.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
33.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
32.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
32.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
32.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
32.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
32.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
32.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
32.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
32.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
32.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
31.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
31.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
31.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
31.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
31.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
31.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
30.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
30.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
30.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
30.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
30.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
30.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
29.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
29.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
29.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
29.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
29.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
29.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
29.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
29.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
28.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
28.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
28.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
28.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
28.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
28.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
28.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
28.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
27.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
27.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
27.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
26.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
26.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
26.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
26.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
26.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
26.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
26.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
25.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
25.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
25.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
25.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
25.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
25.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
25.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
25.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
25.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
24.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
24.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
24.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
24.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
24.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
23.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
23.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
23.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
22.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
22.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
22.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
22.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
21.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
21.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
21.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
21.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
21.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
21.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
20.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
20.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
20.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
19.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
19.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
19.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
19.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
19.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
19.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
18.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
18.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
18.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
17.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
17.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
17.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
16.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 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.
PNRC1 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
113.0
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
291.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
257.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
255.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
229.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
224.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
220.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
219.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
216.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
207.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
205.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
199.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
194.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
193.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
193.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
191.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
191.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
188.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
186.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
186.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
186.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
185.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
185.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
185.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
184.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
183.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
182.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
180.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
179.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
179.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
178.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
176.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
175.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
174.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
174.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
174.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
173.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
172.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
171.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
171.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
169.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
168.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
166.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
165.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
164.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
163.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
162.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
162.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
161.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
160.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
159.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
159.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
158.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
158.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
157.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
157.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
156.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
156.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
156.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
156.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
155.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
154.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
153.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
152.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
152.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
152.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
152.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
152.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
152.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
149.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
149.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
149.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
148.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
148.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
148.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
147.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
147.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
147.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
146.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
146.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
146.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
146.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
146.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
146.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
146.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
145.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
145.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
145.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
145.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
144.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
144.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
144.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
144.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
143.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
142.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
142.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
141.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
141.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
141.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
141.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
140.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
140.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
140.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
139.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
139.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
139.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
139.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
139.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
139.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
138.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
138.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
138.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
137.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
137.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
137.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
137.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
137.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
136.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
136.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
136.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
136.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
135.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
135.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
135.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
135.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
134.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
134.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
134.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
134.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
134.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
134.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
134.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
133.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
133.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
133.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
133.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
133.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
133.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
132.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
132.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
132.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
132.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
132.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
132.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
131.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
130.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
130.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
130.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
129.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
129.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
128.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
128.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
128.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
128.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
127.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
127.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
127.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
127.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
127.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
127.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
127.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
126.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
126.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
126.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
126.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
126.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
126.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
126.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
126.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
125.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
125.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
125.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
125.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
125.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
125.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
125.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
124.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
124.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
124.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
124.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
124.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
123.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
123.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
123.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
123.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
123.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
122.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
122.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
121.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
121.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
121.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
121.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
121.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
121.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
120.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
120.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
120.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
120.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
120.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
119.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
119.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
119.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
119.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
119.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
118.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
118.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
118.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
117.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
117.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
117.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
115.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
115.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
115.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
115.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
115.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
115.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
114.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
114.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
114.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
114.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
114.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
114.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
114.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
113.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
113.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
113.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
113.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
113.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
112.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
112.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
112.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
112.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
111.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
111.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
111.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
111.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
111.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
111.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
111.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
110.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
110.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
110.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
110.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
110.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
109.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
109.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
109.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
108.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
108.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
107.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
107.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
107.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
107.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
107.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
107.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
107.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
106.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
106.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
106.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
105.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
105.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
105.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
105.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
105.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
104.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
104.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
104.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
104.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
104.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
104.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
103.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
103.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
102.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
102.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
102.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
101.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
101.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
101.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
101.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
101.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
101.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
100.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
100.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
100.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
100.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
99.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
99.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
99.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
99.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
99.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
99.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
99.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
98.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
98.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
98.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
98.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
98.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
98.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
98.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
97.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
97.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
97.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
97.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
97.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
97.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
96.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
96.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
96.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
96.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
96.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
95.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
95.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
95.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
95.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
95.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
95.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
95.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
95.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
95.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
95.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
95.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
94.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
94.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
94.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
94.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
94.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
94.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
94.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
93.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
93.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
93.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
92.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
92.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
92.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
92.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
91.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
91.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
91.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
91.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
91.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
91.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
91.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
90.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
90.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
90.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
89.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
89.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
89.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
89.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
89.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
89.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
89.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
88.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
88.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
88.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
88.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
88.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
88.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
88.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
87.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
87.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
87.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
87.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
87.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
87.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
86.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
86.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
85.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
85.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
85.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
85.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
85.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
84.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
84.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
84.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
84.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
84.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
84.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
83.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
83.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
83.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
83.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
83.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
82.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
82.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
82.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
82.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
82.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
81.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
81.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
81.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
81.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
81.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
80.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
80.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
79.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
79.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
79.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
79.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
79.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
79.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
79.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
78.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
78.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
78.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
78.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
78.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
78.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
77.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
77.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
75.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
75.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
75.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
75.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
75.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
75.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
75.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
75.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
74.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
74.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
74.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
74.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
74.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
73.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
73.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
73.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
72.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
72.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
72.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
72.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
72.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
71.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
71.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
70.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
69.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
68.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
68.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
68.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
68.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
67.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
67.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
67.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
65.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
65.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
64.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
64.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
64.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
64.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
63.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
63.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
62.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
62.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
62.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
62.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
62.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
61.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
61.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
61.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
60.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
59.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
58.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
58.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
57.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
57.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
56.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
56.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
55.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
54.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
53.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
52.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
51.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
50.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
50.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
49.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
49.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
47.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
46.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
44.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
44.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
41.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
39.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
37.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
36.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
34.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
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.
PNRC1 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
46.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
98.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
84.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
83.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
81.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
80.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
79.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
77.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
76.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
71.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
71.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
70.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
70.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
69.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
68.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
68.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
67.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
67.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
66.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
63.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
63.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
62.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
61.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
60.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
59.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
59.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
57.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
57.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
57.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
54.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
53.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
53.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
52.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
52.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
50.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
49.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
49.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
48.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
48.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
47.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
47.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
47.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
46.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
45.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
45.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
44.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
44.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
44.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
41.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
41.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
41.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
40.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
40.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
39.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
38.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
37.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
36.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
35.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
35.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
34.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
34.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
33.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
33.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
33.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
33.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
32.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
32.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
32.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
31.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
31.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
30.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
29.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
28.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
27.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
26.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
26.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
26.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
24.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
24.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
21.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
21.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
21.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
20.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
20.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
19.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
19.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
17.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
14.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PNRC1 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
108.9
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
290.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
268.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
257.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
236.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
226.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
223.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
213.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
204.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
204.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
196.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
193.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
191.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
186.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
182.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
170.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
170.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
169.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
168.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
166.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
163.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
162.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
160.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
158.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
156.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
155.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
154.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
153.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
152.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
149.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
149.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
148.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
147.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
146.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
146.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
145.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
145.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
145.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
145.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
141.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
141.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
140.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
139.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
135.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
135.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
133.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
133.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
133.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
133.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
131.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
131.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
131.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
131.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
130.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
129.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
129.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
128.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
128.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
127.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
126.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
125.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
124.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
124.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
124.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
123.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
123.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
123.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
123.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
123.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
122.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
121.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
119.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
118.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
118.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
118.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
118.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
117.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
116.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
114.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
114.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
113.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
113.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
113.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
113.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
112.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
112.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
111.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
111.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
111.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
111.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
111.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
110.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
109.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
109.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
109.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
106.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
105.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
105.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
105.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
104.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
104.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
104.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
104.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
103.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
103.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
103.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
103.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
103.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
102.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
101.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
101.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
101.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
100.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
100.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
100.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
100.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
98.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
97.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
96.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
96.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
96.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
96.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
95.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
94.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
94.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
93.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
93.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
91.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
91.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
90.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
90.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
90.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
89.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
89.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
88.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
86.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
86.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
86.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
85.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
83.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
83.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
82.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
82.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
82.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
82.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
81.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
80.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
79.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
79.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
79.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
78.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
78.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
78.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
77.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
77.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
77.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
77.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
76.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
76.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
75.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
74.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
74.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
74.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
73.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
73.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
73.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
72.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
72.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
72.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
72.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
71.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
71.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
70.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
69.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
69.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
69.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
68.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
68.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
67.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
66.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
66.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
66.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
63.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
63.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
61.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
61.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
61.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
59.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
58.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
58.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
57.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
57.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
56.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
55.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
53.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
52.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
52.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
51.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
51.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
50.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
49.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
45.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
44.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
43.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
43.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
39.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
34.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
