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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.
PRRC1 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
22.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
55.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
44.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
44.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
44.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
43.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
42.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
40.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
40.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
38.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
38.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
38.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
37.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
37.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
35.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
35.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
34.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
34.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
33.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
33.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
33.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
33.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
33.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
32.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
31.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
31.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
31.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
30.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
30.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
30.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
30.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
30.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
29.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
29.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
29.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
29.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
29.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
29.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
29.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
29.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
28.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
28.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
28.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
28.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
28.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
28.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
28.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
28.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
28.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
28.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
27.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
27.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
27.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
27.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
27.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
27.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
27.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
27.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
27.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
27.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
26.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
26.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
26.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
26.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
26.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
26.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
26.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
26.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
26.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
26.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
25.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
25.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
25.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
25.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
25.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
25.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
25.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
25.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
25.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
25.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
24.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
24.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
24.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
24.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
24.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
24.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
24.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
24.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
24.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
24.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
24.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
24.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
24.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
24.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
24.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
24.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
24.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
23.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
23.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
23.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
23.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
23.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
23.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
23.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
23.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
23.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
23.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
23.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
23.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
22.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
22.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
22.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
22.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
22.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
22.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
22.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
22.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
22.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
22.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
22.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
22.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
22.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
22.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
22.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
22.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
22.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
22.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
22.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
21.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
21.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
21.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
21.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
21.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
21.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
21.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
21.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
21.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
21.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
21.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
21.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
21.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
21.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
21.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
21.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
20.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
20.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
20.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
20.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
20.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
20.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
20.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
20.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
20.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
20.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
20.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
20.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
20.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
20.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
19.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
19.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
19.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
19.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
19.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
19.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
19.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
19.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
19.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
19.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
19.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
19.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
19.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
18.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
18.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
18.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
18.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
18.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
18.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
18.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
18.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
18.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
18.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
18.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
18.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
18.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
18.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
17.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
17.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
17.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
17.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
17.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
17.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
17.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
17.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
17.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
17.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
17.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
17.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
17.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
17.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
17.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
16.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
16.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
16.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
16.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
16.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
16.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
16.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
16.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
16.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
16.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
16.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
16.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
16.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
16.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
16.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
16.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
16.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
16.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
16.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
15.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
15.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
15.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
15.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
15.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
15.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
15.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
15.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
14.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
14.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
14.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
14.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
14.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
14.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
14.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
14.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
14.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
14.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
14.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
13.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
13.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
13.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
13.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
13.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
12.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
12.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
12.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
11.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
11.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
10.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 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.
PRRC1 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
45.9
Number of samples
486
Samples
Sample
Description
TPM
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
93.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
86.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
85.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
84.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
81.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
78.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
77.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
77.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
77.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
77.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
75.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
74.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
73.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
73.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
73.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
73.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
72.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
71.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
71.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
70.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
69.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
69.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
69.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
69.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
68.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
68.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
68.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
67.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
67.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
67.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
67.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
66.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
66.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
66.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
66.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
66.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
65.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
64.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
64.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
64.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
63.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
63.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
63.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
62.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
62.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
62.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
62.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
61.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
61.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
61.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
61.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
61.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
60.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
60.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
60.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
60.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
60.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
60.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
60.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
60.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
59.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
59.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
59.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
59.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
59.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
59.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
58.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
58.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
58.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
57.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
57.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
57.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
57.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
57.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
57.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
57.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
57.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
57.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
57.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
56.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
56.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
56.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
56.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
56.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
56.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
56.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
56.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
55.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
55.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
55.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
55.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
55.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
55.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
55.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
55.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
55.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
55.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
54.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
54.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
54.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
54.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
54.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
54.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
53.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
53.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
53.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
53.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
53.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
53.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
53.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
53.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
53.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
53.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
52.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
52.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
52.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
52.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
52.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
52.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
51.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
51.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
51.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
51.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
51.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
51.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
51.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
51.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
51.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
50.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
50.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
50.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
50.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
50.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
50.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
50.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
50.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
50.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
50.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
50.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
50.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
50.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
49.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
49.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
49.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
49.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
49.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
49.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
49.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
49.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
49.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
48.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
48.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
48.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
48.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
48.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
48.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
48.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
48.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
48.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
47.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
47.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
47.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
47.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
47.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
47.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
47.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
47.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
47.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
47.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
47.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
47.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
47.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
47.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
47.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
47.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
47.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
47.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
47.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
46.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
46.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
46.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
46.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
46.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
46.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
46.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
46.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
46.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
46.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
46.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
46.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
46.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
46.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
46.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
46.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
46.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
46.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
46.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
46.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
46.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
46.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
45.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
45.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
45.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
45.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
45.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
45.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
45.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
45.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
45.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
45.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
45.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
45.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
45.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
45.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
45.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
45.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
45.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
45.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
45.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
45.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
45.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
45.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
44.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
44.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
44.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
44.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
44.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
44.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
44.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
44.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
44.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
44.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
44.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
44.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
44.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
44.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
44.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
44.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
44.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
44.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
44.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
44.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
44.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
44.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
44.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
44.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
44.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
44.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
43.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
43.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
43.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
43.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
43.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
43.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
43.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
43.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
43.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
43.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
43.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
43.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
43.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
43.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
43.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
43.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
43.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
43.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
43.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
43.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
42.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
42.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
42.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
42.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
42.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
42.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
42.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
42.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
42.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
42.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
42.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
42.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
42.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
42.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
42.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
42.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
42.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
42.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
42.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
42.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
42.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
42.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
42.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
42.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
42.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
42.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
42.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
42.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
42.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
41.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
41.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
41.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
41.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
41.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
41.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
41.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
41.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
41.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
41.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
41.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
41.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
41.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
41.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
40.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
40.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
40.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
40.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
40.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
40.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
40.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
40.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
40.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
40.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
40.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
40.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
40.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
40.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
40.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
40.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
40.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
40.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
40.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
40.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
40.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
40.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
39.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
39.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
39.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
39.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
39.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
39.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
39.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
39.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
39.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
39.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
39.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
39.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
39.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
39.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
39.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
39.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
39.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
39.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
39.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
39.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
39.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
39.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
39.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
39.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
39.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
39.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
38.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
38.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
38.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
38.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
38.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
38.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
38.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
38.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
38.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
38.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
38.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
38.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
38.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
38.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
37.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
37.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
37.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
37.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
37.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
37.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
37.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
37.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
36.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
36.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
36.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
36.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
36.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
36.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
36.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
36.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
36.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
36.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
36.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
35.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
35.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
35.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
35.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
35.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
35.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
35.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
35.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
35.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
35.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
35.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
35.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
35.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
35.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
34.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
34.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
34.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
34.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
34.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
34.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
34.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
34.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
34.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
34.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
34.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
33.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
33.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
33.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
33.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
33.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
33.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
33.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
32.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
32.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
32.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
32.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
32.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
32.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
32.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
32.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
32.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
32.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
31.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
31.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
31.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
31.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
31.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
31.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
30.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
30.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
30.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
30.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
30.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
30.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
30.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
29.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
29.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
29.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
29.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
29.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
29.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
28.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
27.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
27.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
26.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
26.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
25.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
24.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
24.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
24.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
24.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
23.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
23.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
22.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
21.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
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.
PRRC1 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
22.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
54.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
43.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
38.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
36.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
35.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
33.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
32.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
31.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
31.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
30.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
29.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
29.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
28.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
28.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
28.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
28.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
27.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
27.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
27.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
27.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
27.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
27.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
26.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
26.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
26.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
25.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
25.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
25.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
25.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
25.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
25.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
25.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
25.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
24.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
24.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
24.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
23.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
23.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
23.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
23.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
23.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
23.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
22.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
22.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
22.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
22.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
22.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
22.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
22.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
21.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
21.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
21.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
21.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
21.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
21.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
20.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
20.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
20.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
20.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
20.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
19.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
19.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
19.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
19.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
19.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
19.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
19.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
18.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
18.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
17.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
16.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
16.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
15.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
15.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
15.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
14.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
14.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
14.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
13.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
13.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
13.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
13.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
12.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
11.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
11.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
9.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
7.6
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.
PRRC1 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
40.3
Number of samples
207
Samples
Sample
Description
TPM
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
82.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
82.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
75.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
72.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
61.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
60.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
56.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
56.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
56.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
55.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
55.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
55.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
54.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
54.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
54.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
54.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
53.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
53.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
52.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
51.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
51.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
51.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
51.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
50.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
50.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
50.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
50.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
49.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
49.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
49.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
49.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
48.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
48.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
48.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
48.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
48.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
47.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
47.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
47.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
46.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
46.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
46.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
46.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
46.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
46.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
46.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
46.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
45.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
45.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
45.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
45.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
44.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
44.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
44.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
44.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
44.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
44.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
43.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
43.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
43.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
43.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
43.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
43.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
43.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
43.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
43.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
43.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
43.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
43.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
43.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
42.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
42.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
42.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
42.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
42.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
42.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
42.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
42.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
42.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
42.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
42.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
41.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
41.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
41.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
41.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
41.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
41.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
41.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
41.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
40.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
40.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
40.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
40.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
40.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
40.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
40.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
40.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
40.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
40.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
40.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
39.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
39.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
39.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
39.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
39.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
39.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
39.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
38.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
38.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
38.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
38.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
38.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
38.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
38.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
38.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
37.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
37.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
37.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
37.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
37.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
37.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
37.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
37.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
37.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
37.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
37.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
37.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
36.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
36.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
36.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
36.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
36.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
36.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
36.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
35.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
35.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
35.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
35.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
35.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
35.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
35.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
35.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
35.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
35.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
35.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
34.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
34.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
34.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
33.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
33.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
33.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
33.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
33.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
33.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
33.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
32.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
32.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
32.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
32.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
32.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
32.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
32.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
32.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
31.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
31.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
31.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
31.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
31.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
31.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
31.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
30.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
30.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
30.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
30.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
29.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
29.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
29.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
29.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
29.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
29.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
28.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
28.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
28.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
28.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
27.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
27.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
27.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
27.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
25.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
25.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
24.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
22.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
21.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
20.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
1.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.8
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
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Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
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Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
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Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
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Normal
0.1
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Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
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Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
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Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
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Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.8
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.9
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.