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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.
WRNIP1 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
49.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
94.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
92.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
84.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
83.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
83.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
83.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
82.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
81.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
81.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
81.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
80.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
78.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
76.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
74.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
74.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
73.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
72.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
72.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
71.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
71.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
70.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
68.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
67.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
67.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
66.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
66.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
65.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
65.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
64.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
63.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
63.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
63.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
62.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
62.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
62.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
62.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
62.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
61.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
61.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
61.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
61.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
61.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
61.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
60.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
60.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
60.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
60.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
60.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
59.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
59.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
59.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
59.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
58.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
58.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
58.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
58.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
58.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
58.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
57.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
57.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
57.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
57.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
57.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
57.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
57.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
56.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
56.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
56.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
56.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
56.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
55.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
55.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
55.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
55.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
55.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
55.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
55.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
54.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
54.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
54.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
54.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
53.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
53.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
53.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
53.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
53.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
53.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
52.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
52.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
52.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
51.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
51.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
51.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
51.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
51.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
51.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
50.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
50.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
50.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
50.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
49.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
49.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
49.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
49.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
49.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
49.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
49.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
48.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
48.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
48.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
48.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
48.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
48.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
48.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
48.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
48.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
48.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
48.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
48.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
47.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
47.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
47.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
47.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
47.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
47.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
47.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
47.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
47.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
47.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
47.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
47.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
46.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
46.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
46.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
46.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
46.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
46.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
46.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
46.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
45.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
45.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
45.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
45.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
45.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
45.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
44.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
44.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
44.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
44.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
44.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
44.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
44.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
44.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
44.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
43.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
43.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
43.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
43.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
43.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
43.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
42.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
42.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
42.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
42.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
42.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
42.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
42.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
42.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
41.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
41.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
41.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
41.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
41.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
41.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
41.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
41.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
41.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
41.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
41.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
41.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
41.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
41.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
40.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
40.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
40.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
40.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
40.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
40.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
40.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
40.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
40.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
39.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
39.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
39.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
39.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
39.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
39.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
39.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
39.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
39.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
39.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
39.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
39.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
39.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
38.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
38.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
38.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
38.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
38.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
38.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
38.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
37.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
37.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
37.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
37.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
37.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
37.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
37.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
37.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
36.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
36.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
35.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
35.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
35.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
34.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
34.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
34.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
34.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
34.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
33.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
33.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
33.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
32.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
32.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
32.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
32.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
32.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
31.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
31.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
30.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
30.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
30.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
30.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
29.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
29.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
29.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
29.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
28.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
26.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
26.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
26.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
WRNIP1 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
37.3
Number of samples
486
Samples
Sample
Description
TPM
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
87.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
78.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
76.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
74.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
69.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
68.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
67.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
66.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
66.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
62.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
62.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
61.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
61.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
60.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
60.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
60.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
60.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
60.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
59.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
58.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
57.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
57.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
57.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
57.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
56.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
55.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
55.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
54.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
54.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
54.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
54.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
53.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
53.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
53.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
52.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
52.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
52.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
52.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
52.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
50.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
50.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
50.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
50.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
50.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
50.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
50.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
50.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
49.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
49.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
49.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
49.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
49.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
49.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
49.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
49.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
49.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
48.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
48.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
48.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
48.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
48.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
48.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
47.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
47.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
47.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
47.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
47.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
47.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
47.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
46.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
46.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
46.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
46.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
46.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
46.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
46.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
46.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
46.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
46.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
46.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
46.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
46.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
45.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
45.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
45.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
45.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
45.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
45.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
45.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
45.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
45.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
45.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
45.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
44.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
44.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
44.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
44.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
44.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
44.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
44.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
44.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
44.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
44.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
44.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
44.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
44.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
44.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
44.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
43.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
43.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
43.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
43.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
43.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
43.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
43.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
43.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
43.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
43.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
43.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
43.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
43.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
43.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
42.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
42.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
42.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
42.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
42.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
42.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
42.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
42.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
42.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
42.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
42.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
42.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
42.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
41.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
41.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
41.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
41.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
41.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
41.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
41.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
41.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
41.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
41.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
41.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
41.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
41.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
41.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
41.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
40.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
40.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
40.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
40.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
40.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
40.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
40.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
40.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
40.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
40.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
40.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
40.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
40.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
40.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
40.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
40.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
40.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
40.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
40.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
39.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
39.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
39.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
39.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
39.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
39.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
39.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
39.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
39.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
39.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
39.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
39.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
39.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
39.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
39.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
39.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
38.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
38.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
38.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
38.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
38.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
38.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
38.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
38.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
38.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
38.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
38.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
38.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
38.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
38.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
38.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
37.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
37.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
37.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
37.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
37.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
37.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
37.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
37.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
37.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
37.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
37.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
37.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
37.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
37.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
37.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
37.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
37.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
37.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
37.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
37.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
37.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
37.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
37.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
37.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
37.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
36.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
36.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
36.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
36.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
36.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
36.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
36.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
36.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
36.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
36.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
36.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
36.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
36.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
36.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
36.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
36.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
36.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
36.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
36.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
36.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
35.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
35.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
35.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
35.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
35.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
35.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
35.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
35.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
35.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
35.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
35.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
34.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
34.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
34.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
34.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
34.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
34.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
34.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
34.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
34.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
34.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
34.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
34.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
34.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
34.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
34.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
34.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
34.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
34.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
34.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
34.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
34.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
34.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
34.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
34.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
33.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
33.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
33.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
33.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
33.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
33.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
33.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
33.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
33.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
33.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
33.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
33.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
33.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
33.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
33.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
33.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
33.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
33.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
33.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
33.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
33.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
33.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
32.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
32.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
32.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
32.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
32.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
32.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
32.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
32.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
32.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
32.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
32.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
32.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
32.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
32.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
32.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
32.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
32.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
32.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
32.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
32.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
32.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
32.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
32.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
32.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
32.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
31.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
31.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
31.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
31.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
31.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
31.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
31.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
31.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
31.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
31.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
31.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
31.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
31.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
31.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
31.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
31.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
31.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
31.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
31.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
31.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
31.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
30.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
30.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
30.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
30.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
30.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
30.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
30.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
30.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
30.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
30.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
30.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
30.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
30.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
30.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
30.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
30.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
30.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
30.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
29.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
29.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
29.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
29.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
29.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
29.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
29.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
29.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
29.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
29.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
29.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
29.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
29.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
29.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
29.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
29.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
29.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
29.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
28.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
28.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
28.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
28.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
28.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
28.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
28.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
28.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
28.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
28.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
28.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
28.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
28.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
27.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
27.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
27.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
27.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
27.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
27.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
27.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
27.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
27.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
27.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
27.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
27.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
27.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
26.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
26.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
26.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
26.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
26.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
26.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
26.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
26.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
26.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
26.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
26.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
26.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
26.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
26.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
26.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
26.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
26.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
26.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
26.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
26.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
26.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
25.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
25.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
25.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
25.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
25.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
25.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
24.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
24.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
24.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
24.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
24.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
24.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
24.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
23.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
23.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
23.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
23.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
22.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
22.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
22.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
22.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
21.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
21.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
21.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
21.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
21.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
21.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
19.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
19.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
18.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
18.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
17.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
17.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
13.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.5
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.
WRNIP1 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
48.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
75.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
75.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
74.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
72.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
72.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
69.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
68.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
68.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
67.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
66.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
65.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
65.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
64.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
63.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
61.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
61.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
60.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
59.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
57.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
57.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
57.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
57.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
57.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
56.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
56.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
55.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
55.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
54.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
54.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
54.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
53.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
53.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
53.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
53.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
53.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
52.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
51.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
50.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
50.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
49.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
49.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
49.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
49.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
49.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
48.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
48.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
48.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
48.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
48.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
48.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
48.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
47.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
46.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
46.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
46.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
44.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
43.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
42.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
42.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
42.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
41.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
41.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
41.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
41.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
40.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
40.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
39.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
39.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
38.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
38.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
38.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
37.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
34.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
34.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
34.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
33.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
30.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
30.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
27.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
27.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
25.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
25.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
24.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
24.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
24.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
23.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
23.3
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.
WRNIP1 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
35.6
Number of samples
207
Samples
Sample
Description
TPM
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
61.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
59.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
58.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
56.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
54.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
54.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
53.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
53.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
52.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
52.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
52.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
51.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
51.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
50.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
50.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
50.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
50.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
49.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
49.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
48.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
47.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
47.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
46.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
46.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
46.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
46.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
46.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
45.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
45.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
44.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
44.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
43.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
43.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
43.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
43.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
43.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
43.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
43.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
43.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
42.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
42.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
42.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
42.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
42.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
42.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
42.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
42.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
41.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
41.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
41.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
41.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
40.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
40.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
40.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
40.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
40.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
40.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
40.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
40.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
40.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
40.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
40.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
40.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
40.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
40.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
39.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
39.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
39.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
38.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
38.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
38.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
38.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
38.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
38.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
38.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
38.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
38.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
37.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
37.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
37.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
37.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
36.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
36.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
36.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
36.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
36.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
36.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
36.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
36.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
36.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
35.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
35.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
35.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
35.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
35.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
35.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
35.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
35.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
34.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
34.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
34.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
34.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
34.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
34.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
33.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
33.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
33.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
33.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
33.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
33.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
32.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
32.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
32.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
32.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
32.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
32.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
32.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
32.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
32.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
31.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
31.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
31.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
31.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
31.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
31.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
31.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
31.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
31.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
30.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
30.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
30.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
30.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
30.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
30.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
30.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
30.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
30.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
30.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
29.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
29.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
29.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
29.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
29.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
29.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
29.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
29.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
28.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
28.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
28.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
28.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
28.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
28.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
28.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
27.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
27.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
27.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
27.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
27.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
27.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
27.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
27.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
26.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
26.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
26.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
26.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
26.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
26.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
26.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
26.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
25.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
25.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
25.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
25.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
25.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
25.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
25.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
24.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
24.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
24.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
24.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
24.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
24.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
23.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
23.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
23.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
23.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
22.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
22.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
21.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
20.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
20.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
19.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
19.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
19.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
19.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
17.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
15.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
1.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.8
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.7
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.8
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-1.0
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
