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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.
PRRC2C 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
41.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
86.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
85.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
80.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
77.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
76.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
73.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
73.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
71.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
70.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
67.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
67.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
67.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
67.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
66.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
66.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
66.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
65.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
64.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
64.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
64.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
64.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
64.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
63.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
61.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
61.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
59.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
59.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
58.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
58.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
58.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
58.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
57.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
57.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
56.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
56.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
56.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
56.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
55.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
54.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
54.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
53.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
53.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
53.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
53.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
52.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
52.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
52.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
52.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
52.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
51.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
51.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
51.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
51.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
51.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
50.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
50.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
50.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
50.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
50.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
49.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
49.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
49.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
48.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
48.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
48.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
48.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
48.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
48.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
48.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
47.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
47.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
47.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
46.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
46.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
46.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
46.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
46.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
46.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
46.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
46.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
46.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
45.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
45.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
45.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
45.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
45.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
45.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
45.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
45.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
45.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
44.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
44.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
44.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
44.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
44.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
44.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
44.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
44.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
44.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
43.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
43.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
43.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
43.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
43.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
43.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
43.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
43.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
43.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
43.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
43.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
43.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
43.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
43.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
42.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
42.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
42.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
42.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
42.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
42.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
42.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
41.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
41.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
41.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
41.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
41.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
41.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
41.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
41.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
41.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
41.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
40.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
40.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
40.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
40.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
40.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
39.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
39.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
39.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
39.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
39.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
39.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
39.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
38.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
38.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
38.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
38.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
38.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
38.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
38.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
38.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
38.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
37.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
37.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
37.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
37.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
36.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
36.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
36.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
36.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
36.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
36.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
36.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
36.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
36.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
35.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
35.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
35.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
35.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
35.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
35.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
35.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
35.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
35.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
35.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
35.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
34.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
34.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
34.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
34.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
34.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
34.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
34.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
34.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
33.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
33.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
33.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
32.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
32.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
32.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
32.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
31.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
31.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
31.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
31.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
31.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
31.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
31.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
31.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
31.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
30.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
30.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
30.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
30.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
30.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
30.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
30.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
30.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
30.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
29.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
29.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
28.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
28.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
28.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
28.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
28.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
28.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
27.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
27.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
27.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
27.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
26.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
26.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
26.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
26.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
26.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
26.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
26.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
25.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
25.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
25.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
24.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
24.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
24.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
24.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
24.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
24.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
23.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
22.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
22.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
22.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
21.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
20.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
20.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
20.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
20.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
19.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
19.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
18.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
16.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
14.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
13.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 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.
PRRC2C 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
109.2
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
290.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
238.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
212.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
199.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
196.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
181.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
180.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
179.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
177.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
174.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
169.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
169.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
168.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
166.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
165.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
164.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
163.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
162.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
160.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
159.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
158.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
158.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
157.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
157.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
157.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
157.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
156.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
155.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
154.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
154.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
152.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
152.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
152.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
151.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
150.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
149.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
148.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
147.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
147.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
146.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
145.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
145.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
145.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
144.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
144.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
143.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
143.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
143.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
141.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
141.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
141.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
141.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
141.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
140.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
139.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
139.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
139.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
139.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
139.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
138.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
138.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
138.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
137.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
136.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
136.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
136.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
135.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
135.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
135.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
135.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
135.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
135.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
135.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
134.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
134.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
134.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
134.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
134.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
134.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
134.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
134.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
134.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
133.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
133.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
133.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
133.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
132.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
132.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
132.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
132.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
131.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
131.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
131.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
131.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
130.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
130.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
130.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
130.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
130.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
129.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
129.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
129.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
128.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
128.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
128.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
128.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
128.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
128.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
128.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
127.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
127.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
127.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
127.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
127.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
126.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
126.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
126.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
126.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
126.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
126.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
126.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
125.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
125.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
125.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
124.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
124.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
124.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
124.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
124.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
123.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
123.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
123.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
123.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
123.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
122.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
122.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
122.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
122.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
122.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
122.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
122.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
121.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
121.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
121.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
120.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
120.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
120.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
119.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
119.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
119.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
119.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
119.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
119.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
119.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
118.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
118.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
118.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
118.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
118.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
118.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
118.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
117.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
117.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
117.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
117.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
117.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
117.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
117.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
117.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
117.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
117.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
117.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
117.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
116.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
116.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
116.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
116.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
116.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
116.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
116.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
115.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
115.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
115.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
115.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
115.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
115.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
114.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
114.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
114.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
113.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
113.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
113.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
113.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
112.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
112.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
112.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
112.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
112.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
112.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
111.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
111.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
111.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
111.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
111.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
111.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
111.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
111.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
111.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
111.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
111.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
110.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
110.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
110.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
110.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
110.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
110.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
110.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
109.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
109.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
109.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
109.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
109.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
109.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
108.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
108.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
108.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
108.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
108.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
108.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
107.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
107.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
107.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
107.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
107.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
107.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
106.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
106.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
106.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
106.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
106.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
106.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
105.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
105.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
105.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
105.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
105.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
105.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
105.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
104.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
104.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
104.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
104.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
104.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
104.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
104.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
103.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
103.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
103.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
103.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
103.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
103.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
103.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
103.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
103.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
102.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
102.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
102.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
102.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
102.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
102.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
102.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
102.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
101.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
101.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
101.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
101.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
101.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
100.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
100.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
100.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
100.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
100.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
100.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
100.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
99.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
99.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
99.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
99.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
99.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
99.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
99.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
99.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
99.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
98.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
98.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
98.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
98.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
98.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
98.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
98.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
98.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
97.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
97.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
97.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
97.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
97.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
97.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
97.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
96.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
96.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
96.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
96.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
96.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
96.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
96.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
96.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
96.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
95.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
95.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
95.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
95.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
95.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
95.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
95.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
95.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
94.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
94.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
94.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
94.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
94.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
94.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
94.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
94.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
93.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
93.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
93.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
93.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
93.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
93.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
92.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
92.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
92.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
92.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
92.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
92.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
92.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
91.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
91.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
91.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
90.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
90.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
90.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
90.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
90.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
90.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
90.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
90.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
90.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
89.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
89.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
89.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
89.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
89.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
89.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
89.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
89.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
89.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
89.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
89.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
88.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
88.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
88.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
88.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
88.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
88.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
87.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
87.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
87.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
87.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
87.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
87.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
87.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
87.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
87.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
87.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
86.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
86.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
86.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
86.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
86.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
86.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
86.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
86.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
85.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
85.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
85.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
85.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
85.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
84.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
84.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
84.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
83.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
83.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
83.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
83.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
83.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
83.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
83.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
83.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
83.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
83.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
82.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
82.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
82.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
82.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
82.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
82.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
82.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
81.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
81.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
81.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
81.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
81.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
81.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
81.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
81.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
81.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
80.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
80.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
80.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
80.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
80.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
80.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
79.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
79.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
79.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
79.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
79.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
79.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
79.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
78.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
78.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
78.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
78.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
77.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
77.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
77.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
76.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
76.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
75.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
75.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
75.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
75.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
75.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
75.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
75.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
74.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
74.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
74.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
74.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
74.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
74.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
74.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
73.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
73.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
73.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
73.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
72.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
71.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
71.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
71.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
70.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
70.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
69.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
69.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
68.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
67.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
66.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
64.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
64.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
62.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
62.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
61.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
59.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PRRC2C 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
41.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
96.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
81.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
71.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
67.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
63.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
62.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
61.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
59.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
59.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
59.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
56.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
56.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
54.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
54.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
53.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
52.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
52.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
51.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
51.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
51.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
51.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
51.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
49.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
48.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
48.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
48.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
47.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
47.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
47.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
47.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
47.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
46.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
46.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
46.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
45.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
45.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
45.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
45.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
44.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
44.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
43.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
43.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
42.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
41.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
41.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
41.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
41.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
40.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
40.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
39.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
39.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
38.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
38.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
38.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
38.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
37.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
36.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
36.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
36.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
35.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
35.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
35.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
34.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
34.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
34.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
33.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
31.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
30.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
30.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
30.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
30.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
29.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
28.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
27.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
27.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
26.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
26.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
25.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
25.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
21.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
21.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
20.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
17.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
16.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
15.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
12.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
11.8
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.
PRRC2C 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
100.3
Number of samples
207
Samples
Sample
Description
TPM
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
167.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
167.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
166.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
165.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
152.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
151.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
151.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
150.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
147.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
141.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
140.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
139.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
138.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
137.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
136.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
135.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
132.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
132.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
132.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
132.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
132.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
130.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
130.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
129.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
127.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
126.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
125.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
125.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
125.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
124.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
124.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
123.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
123.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
123.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
122.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
118.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
118.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
118.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
116.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
115.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
114.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
114.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
113.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
113.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
113.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
112.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
112.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
111.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
111.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
111.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
111.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
111.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
110.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
110.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
109.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
109.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
109.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
109.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
109.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
108.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
108.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
107.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
107.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
106.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
106.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
106.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
106.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
105.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
105.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
105.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
105.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
104.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
104.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
104.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
103.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
103.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
103.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
102.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
102.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
102.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
102.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
102.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
101.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
100.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
100.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
100.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
100.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
100.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
100.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
100.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
100.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
99.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
99.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
99.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
99.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
99.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
99.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
99.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
98.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
98.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
98.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
98.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
98.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
97.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
97.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
97.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
97.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
96.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
96.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
96.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
96.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
96.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
95.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
94.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
94.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
94.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
93.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
93.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
93.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
93.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
93.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
92.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
92.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
92.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
92.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
92.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
91.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
91.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
91.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
91.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
91.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
91.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
91.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
90.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
90.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
90.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
90.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
90.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
89.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
89.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
89.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
89.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
88.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
88.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
88.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
88.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
87.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
87.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
87.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
87.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
87.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
86.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
86.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
85.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
85.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
85.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
85.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
84.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
84.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
84.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
84.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
84.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
83.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
83.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
83.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
82.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
82.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
82.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
82.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
81.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
80.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
80.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
80.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
80.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
80.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
79.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
79.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
79.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
78.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
78.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
78.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
78.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
78.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
77.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
77.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
76.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
76.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
76.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
76.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
75.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
75.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
75.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
75.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
74.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
74.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
74.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
73.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
72.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
72.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
71.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
69.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
69.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
68.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
68.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
66.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
61.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
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
