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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.
HNRNPR 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
37.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
82.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
71.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
69.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
69.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
67.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
66.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
64.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
63.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
63.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
63.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
61.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
61.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
60.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
59.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
59.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
59.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
58.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
58.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
58.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
58.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
57.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
57.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
57.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
56.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
56.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
55.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
55.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
55.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
55.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
54.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
54.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
52.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
52.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
52.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
51.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
51.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
51.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
51.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
50.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
50.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
50.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
49.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
49.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
49.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
49.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
48.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
48.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
48.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
48.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
48.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
47.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
46.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
46.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
45.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
45.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
45.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
45.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
45.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
45.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
44.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
44.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
44.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
44.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
44.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
44.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
44.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
43.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
43.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
43.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
43.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
43.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
43.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
42.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
42.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
42.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
42.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
42.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
42.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
42.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
41.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
41.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
41.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
41.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
41.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
41.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
41.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
41.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
41.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
40.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
40.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
40.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
40.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
40.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
40.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
40.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
40.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
40.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
40.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
39.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
39.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
39.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
39.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
39.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
38.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
38.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
38.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
38.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
38.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
38.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
38.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
38.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
37.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
37.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
37.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
37.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
37.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
37.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
37.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
37.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
37.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
37.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
36.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
36.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
36.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
36.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
36.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
36.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
36.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
36.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
36.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
35.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
35.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
35.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
35.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
35.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
35.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
35.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
35.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
35.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
35.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
35.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
34.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
34.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
34.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
34.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
34.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
34.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
34.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
34.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
34.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
34.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
33.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
33.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
33.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
33.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
32.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
32.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
32.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
32.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
32.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
32.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
32.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
32.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
32.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
32.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
31.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
31.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
31.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
31.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
31.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
31.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
31.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
31.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
31.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
31.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
30.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
30.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
30.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
30.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
30.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
30.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
29.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
29.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
29.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
29.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
29.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
29.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
29.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
28.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
28.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
28.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
28.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
28.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
28.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
28.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
27.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
26.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
26.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
25.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
25.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
25.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
25.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
24.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
24.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
24.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
24.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
24.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
23.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
23.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
23.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
23.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
23.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
23.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
23.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
23.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
23.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
23.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
22.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
22.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
22.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
22.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
21.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
21.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
21.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
21.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
21.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
21.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
20.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
20.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
20.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
20.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
20.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
19.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
19.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
19.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
18.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
18.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
17.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
17.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
17.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
16.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
16.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
16.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
15.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
14.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
14.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
14.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
12.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
11.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
10.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
10.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
8.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
HNRNPR 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
58.8
Number of samples
486
Samples
Sample
Description
TPM
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
121.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
116.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
100.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
98.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
97.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
95.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
94.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
91.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
91.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
91.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
90.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
90.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
90.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
89.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
87.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
87.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
86.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
86.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
84.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
84.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
84.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
84.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
84.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
83.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
83.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
82.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
82.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
82.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
82.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
81.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
80.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
80.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
80.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
80.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
79.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
79.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
79.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
78.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
78.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
78.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
78.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
78.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
78.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
78.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
78.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
78.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
77.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
77.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
77.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
77.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
76.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
76.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
75.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
75.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
75.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
75.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
75.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
74.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
74.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
74.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
74.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
74.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
74.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
74.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
73.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
73.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
73.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
73.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
72.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
72.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
71.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
71.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
71.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
71.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
71.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
71.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
71.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
70.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
70.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
70.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
70.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
70.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
70.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
70.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
70.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
70.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
70.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
70.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
70.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
69.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
69.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
69.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
69.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
69.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
69.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
69.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
69.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
69.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
69.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
68.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
68.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
68.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
68.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
68.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
68.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
68.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
68.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
68.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
68.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
68.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
68.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
68.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
68.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
67.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
67.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
67.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
67.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
67.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
67.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
67.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
67.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
67.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
67.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
67.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
66.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
66.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
66.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
66.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
66.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
66.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
66.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
66.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
65.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
65.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
65.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
65.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
65.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
65.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
65.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
65.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
64.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
64.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
64.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
64.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
64.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
64.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
64.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
64.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
64.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
64.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
63.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
63.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
63.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
63.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
63.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
63.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
63.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
63.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
63.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
63.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
63.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
63.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
63.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
63.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
63.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
63.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
63.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
62.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
62.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
62.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
62.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
62.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
62.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
62.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
62.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
62.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
62.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
62.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
62.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
62.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
62.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
61.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
61.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
61.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
61.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
61.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
61.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
61.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
61.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
61.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
61.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
61.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
60.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
60.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
60.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
60.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
60.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
60.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
60.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
60.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
60.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
60.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
60.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
60.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
60.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
60.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
59.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
59.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
59.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
59.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
59.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
59.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
59.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
59.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
59.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
59.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
59.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
59.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
58.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
58.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
58.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
58.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
58.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
58.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
58.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
58.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
58.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
58.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
58.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
58.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
58.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
58.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
57.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
57.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
57.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
57.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
57.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
57.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
57.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
57.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
57.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
57.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
57.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
57.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
57.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
57.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
56.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
56.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
56.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
56.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
56.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
56.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
56.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
56.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
56.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
56.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
56.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
56.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
56.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
56.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
55.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
55.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
55.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
55.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
55.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
55.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
55.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
55.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
55.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
55.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
54.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
54.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
54.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
54.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
54.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
54.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
54.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
54.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
54.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
54.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
54.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
54.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
54.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
54.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
54.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
54.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
54.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
53.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
53.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
53.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
53.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
53.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
53.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
53.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
53.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
53.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
53.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
53.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
53.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
53.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
53.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
53.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
53.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
53.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
53.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
52.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
52.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
52.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
52.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
52.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
52.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
52.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
52.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
52.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
52.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
52.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
52.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
52.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
52.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
52.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
52.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
51.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
51.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
51.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
51.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
51.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
51.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
51.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
51.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
51.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
51.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
51.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
51.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
50.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
50.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
50.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
50.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
50.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
50.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
50.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
50.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
50.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
50.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
50.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
50.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
50.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
50.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
50.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
50.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
50.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
50.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
50.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
50.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
49.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
49.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
49.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
49.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
49.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
49.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
49.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
49.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
49.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
49.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
49.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
49.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
49.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
49.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
49.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
48.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
48.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
48.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
48.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
48.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
48.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
48.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
48.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
48.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
48.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
48.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
48.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
48.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
48.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
48.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
48.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
48.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
48.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
48.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
47.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
47.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
47.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
47.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
47.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
47.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
47.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
47.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
47.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
47.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
47.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
47.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
47.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
47.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
47.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
46.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
46.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
46.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
46.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
46.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
46.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
46.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
46.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
46.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
46.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
46.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
46.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
45.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
45.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
45.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
45.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
45.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
45.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
44.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
44.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
44.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
44.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
44.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
44.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
44.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
44.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
44.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
44.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
44.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
44.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
44.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
43.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
43.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
43.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
42.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
42.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
42.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
42.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
42.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
42.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
42.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
42.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
41.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
41.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
41.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
41.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
40.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
40.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
40.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
40.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
40.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
40.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
40.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
40.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
40.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
39.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
39.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
39.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
39.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
38.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
38.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
38.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
37.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
37.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
36.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
36.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
35.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
35.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
34.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
34.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
32.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
29.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.7
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.
HNRNPR 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
37.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
74.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
66.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
65.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
65.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
65.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
63.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
60.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
58.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
57.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
56.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
56.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
55.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
55.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
54.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
54.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
52.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
48.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
48.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
48.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
47.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
47.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
47.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
46.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
46.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
46.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
46.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
46.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
46.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
44.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
44.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
43.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
43.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
42.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
40.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
40.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
39.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
39.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
39.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
38.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
37.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
36.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
35.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
35.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
34.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
33.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
33.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
33.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
32.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
32.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
32.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
32.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
32.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
31.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
31.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
31.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
30.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
30.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
30.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
30.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
30.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
28.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
28.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
28.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
28.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
27.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
27.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
27.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
27.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
27.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
26.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
26.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
25.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
24.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
24.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
24.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
23.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
22.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
22.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
21.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
21.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
18.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
16.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
15.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
12.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
5.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.3
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.
HNRNPR 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
51.9
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
96.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
91.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
82.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
80.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
79.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
75.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
74.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
74.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
74.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
73.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
72.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
71.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
70.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
69.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
69.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
68.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
67.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
67.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
67.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
66.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
66.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
66.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
65.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
64.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
64.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
64.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
64.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
64.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
64.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
63.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
63.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
63.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
63.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
62.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
62.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
62.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
62.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
61.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
61.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
61.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
61.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
61.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
60.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
60.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
60.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
60.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
60.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
59.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
59.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
59.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
59.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
58.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
58.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
58.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
58.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
58.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
57.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
57.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
57.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
57.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
57.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
56.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
56.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
56.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
56.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
56.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
56.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
56.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
55.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
55.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
55.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
55.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
55.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
54.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
54.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
54.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
54.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
54.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
54.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
54.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
54.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
54.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
53.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
53.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
53.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
53.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
53.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
53.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
52.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
52.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
52.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
52.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
52.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
52.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
52.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
51.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
51.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
51.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
51.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
51.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
51.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
51.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
50.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
50.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
50.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
50.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
50.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
50.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
50.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
50.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
49.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
49.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
49.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
49.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
49.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
49.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
49.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
49.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
49.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
48.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
48.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
48.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
48.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
48.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
48.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
47.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
47.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
47.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
47.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
47.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
47.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
47.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
47.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
47.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
46.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
46.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
46.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
46.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
46.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
46.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
46.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
46.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
46.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
46.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
46.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
46.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
46.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
45.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
45.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
45.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
44.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
44.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
44.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
43.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
43.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
43.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
43.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
42.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
42.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
42.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
42.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
42.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
42.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
42.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
42.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
42.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
41.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
40.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
40.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
40.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
40.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
40.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
40.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
40.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
40.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
40.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
40.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
40.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
39.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
39.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
38.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
38.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
38.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
38.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
36.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
36.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
35.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
35.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
35.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
34.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
34.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
33.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
33.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
31.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
31.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
29.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
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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Tumor
0.1
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Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_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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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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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
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Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
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Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
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Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
