We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
WBP2 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
65.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
153.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
132.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
130.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
126.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
126.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
118.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
114.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
111.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
110.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
110.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
109.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
105.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
104.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
104.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
101.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
100.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
99.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
98.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
97.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
96.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
96.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
94.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
94.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
90.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
88.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
88.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
88.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
88.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
87.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
87.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
86.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
86.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
86.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
86.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
86.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
85.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
83.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
82.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
82.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
82.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
82.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
82.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
82.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
81.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
81.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
81.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
80.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
80.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
79.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
79.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
79.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
78.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
78.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
78.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
78.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
78.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
78.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
78.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
78.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
77.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
77.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
77.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
76.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
76.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
76.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
75.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
75.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
75.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
75.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
75.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
75.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
75.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
74.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
74.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
74.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
73.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
73.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
73.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
73.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
73.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
73.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
73.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
73.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
73.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
72.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
72.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
72.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
71.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
71.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
71.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
71.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
71.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
71.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
71.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
70.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
70.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
70.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
70.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
69.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
69.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
69.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
69.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
69.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
68.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
68.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
68.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
68.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
68.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
68.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
68.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
68.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
68.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
67.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
67.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
67.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
66.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
66.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
66.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
66.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
66.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
66.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
65.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
65.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
65.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
64.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
64.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
63.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
63.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
63.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
63.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
63.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
62.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
62.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
62.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
62.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
62.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
62.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
62.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
62.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
61.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
61.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
61.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
61.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
60.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
60.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
60.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
60.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
60.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
60.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
60.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
60.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
59.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
58.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
58.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
58.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
58.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
58.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
58.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
58.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
58.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
57.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
57.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
57.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
57.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
56.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
56.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
56.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
55.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
55.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
55.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
55.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
55.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
55.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
55.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
55.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
55.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
54.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
54.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
53.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
53.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
53.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
53.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
53.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
52.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
51.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
51.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
51.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
50.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
50.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
50.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
50.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
50.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
49.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
49.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
49.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
49.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
49.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
48.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
48.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
48.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
48.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
47.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
47.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
47.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
47.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
46.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
46.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
45.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
45.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
45.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
44.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
44.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
44.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
44.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
44.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
44.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
44.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
43.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
43.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
43.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
42.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
42.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
42.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
42.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
41.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
39.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
39.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
39.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
38.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
38.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
38.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
38.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
38.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
38.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
38.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
37.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
37.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
36.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
36.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
35.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
33.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
33.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
32.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
32.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
30.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
29.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
26.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
25.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
24.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
16.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
11.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
7.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
WBP2 is potential prognostic, high expression is unfavorable 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
50.9
Number of samples
486
Samples
Sample
Description
TPM
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
128.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
111.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
104.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
90.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
87.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
85.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
84.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
83.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
82.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
80.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
78.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
78.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
77.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
76.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
75.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
75.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
75.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
74.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
74.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
74.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
74.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
73.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
73.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
72.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
72.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
72.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
71.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
71.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
71.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
71.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
70.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
70.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
70.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
70.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
70.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
70.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
70.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
70.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
69.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
69.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
69.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
68.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
68.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
68.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
68.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
68.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
67.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
67.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
67.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
67.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
67.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
67.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
67.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
67.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
67.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
66.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
66.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
66.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
65.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
65.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
65.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
65.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
64.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
64.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
64.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
64.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
64.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
64.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
64.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
64.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
63.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
63.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
63.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
63.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
63.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
63.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
63.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
63.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
63.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
62.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
62.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
62.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
62.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
62.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
62.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
62.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
62.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
62.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
61.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
61.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
61.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
61.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
61.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
61.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
60.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
60.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
60.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
60.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
60.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
60.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
60.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
60.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
60.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
60.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
60.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
59.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
59.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
59.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
59.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
59.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
59.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
59.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
59.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
59.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
59.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
59.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
59.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
58.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
58.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
58.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
58.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
58.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
58.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
58.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
58.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
58.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
57.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
57.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
57.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
57.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
57.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
57.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
57.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
57.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
57.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
57.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
57.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
57.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
57.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
56.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
56.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
56.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
56.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
56.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
56.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
56.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
56.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
56.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
56.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
56.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
56.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
55.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
55.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
55.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
55.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
55.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
55.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
55.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
55.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
55.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
55.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
54.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
54.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
54.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
54.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
54.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
54.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
54.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
54.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
54.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
54.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
54.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
54.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
54.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
54.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
54.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
54.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
54.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
54.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
53.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
53.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
53.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
53.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
53.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
53.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
53.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
53.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
53.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
53.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
53.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
53.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
53.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
53.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
53.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
52.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
52.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
52.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
52.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
52.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
52.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
52.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
52.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
52.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
52.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
52.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
52.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
52.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
52.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
52.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
52.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
52.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
52.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
51.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
51.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
51.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
51.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
51.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
51.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
51.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
51.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
51.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
51.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
51.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
51.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
51.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
51.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
51.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
51.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
51.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
50.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
50.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
50.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
50.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
50.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
50.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
50.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
50.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
50.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
50.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
50.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
50.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
50.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
50.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
49.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
49.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
49.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
49.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
49.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
49.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
49.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
49.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
49.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
49.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
49.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
49.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
49.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
49.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
49.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
49.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
49.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
49.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
49.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
48.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
48.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
48.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
48.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
48.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
48.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
48.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
48.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
48.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
48.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
48.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
48.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
48.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
48.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
47.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
47.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
47.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
47.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
47.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
47.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
47.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
47.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
47.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
47.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
47.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
47.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
46.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
46.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
46.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
46.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
46.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
46.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
46.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
46.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
46.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
46.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
46.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
46.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
46.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
46.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
46.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
46.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
46.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
46.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
46.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
46.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
46.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
46.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
46.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
46.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
46.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
46.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
45.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
45.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
45.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
45.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
45.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
45.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
45.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
45.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
45.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
45.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
45.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
44.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
44.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
44.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
44.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
44.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
44.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
44.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
44.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
44.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
44.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
44.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
44.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
44.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
43.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
43.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
43.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
43.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
43.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
43.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
43.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
43.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
43.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
43.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
43.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
42.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
42.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
42.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
42.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
42.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
42.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
42.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
42.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
42.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
42.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
42.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
42.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
42.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
41.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
41.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
41.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
41.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
41.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
41.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
41.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
41.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
41.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
41.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
41.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
41.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
41.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
41.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
41.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
41.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
41.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
40.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
40.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
40.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
40.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
40.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
40.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
40.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
40.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
40.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
40.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
40.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
40.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
40.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
40.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
40.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
40.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
39.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
39.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
39.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
39.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
39.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
39.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
39.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
39.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
39.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
39.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
39.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
38.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
38.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
38.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
38.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
38.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
37.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
37.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
37.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
37.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
37.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
37.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
37.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
37.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
37.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
37.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
37.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
37.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
37.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
36.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
36.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
36.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
36.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
36.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
36.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
36.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
36.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
36.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
36.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
36.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
36.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
35.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
35.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
35.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
35.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
35.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
35.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
35.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
34.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
34.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
34.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
34.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
34.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
34.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
34.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
33.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
33.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
33.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
33.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
32.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
31.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
31.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
31.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
30.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
29.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
28.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
28.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
27.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
27.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
27.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
27.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
27.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
27.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
26.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
26.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
26.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
26.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
25.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
23.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
15.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
8.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
WBP2 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
61.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
127.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
114.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
113.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
99.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
98.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
89.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
85.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
84.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
82.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
79.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
78.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
77.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
76.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
76.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
74.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
73.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
73.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
73.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
72.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
72.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
72.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
71.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
69.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
69.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
68.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
68.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
67.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
67.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
67.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
67.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
67.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
66.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
66.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
66.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
65.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
65.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
65.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
64.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
64.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
64.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
63.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
63.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
62.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
62.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
61.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
61.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
60.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
59.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
59.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
58.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
58.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
58.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
58.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
57.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
57.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
57.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
56.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
56.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
55.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
55.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
54.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
53.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
51.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
51.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
49.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
49.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
49.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
48.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
48.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
45.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
44.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
43.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
43.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
42.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
42.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
42.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
41.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
41.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
41.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
41.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
38.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
37.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
37.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
35.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
32.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
32.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
WBP2 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
46.6
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
135.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
96.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
84.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
81.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
75.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
74.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
74.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
72.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
71.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
68.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
67.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
66.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
66.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
65.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
65.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
65.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
65.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
64.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
64.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
63.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
63.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
62.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
61.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
61.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
61.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
60.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
60.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
59.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
59.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
59.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
58.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
58.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
58.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
58.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
58.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
58.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
57.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
57.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
57.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
57.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
56.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
56.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
56.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
55.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
55.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
55.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
55.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
55.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
55.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
55.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
54.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
54.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
54.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
54.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
53.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
52.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
52.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
52.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
52.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
52.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
51.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
51.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
51.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
51.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
51.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
51.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
50.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
50.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
50.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
50.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
50.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
50.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
50.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
50.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
50.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
50.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
50.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
49.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
49.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
49.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
49.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
49.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
49.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
49.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
49.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
49.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
49.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
49.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
48.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
48.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
48.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
47.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
47.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
47.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
47.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
47.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
47.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
46.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
46.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
46.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
46.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
46.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
46.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
46.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
46.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
45.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
45.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
44.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
44.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
44.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
44.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
44.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
44.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
43.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
43.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
43.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
43.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
43.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
42.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
42.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
42.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
42.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
42.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
42.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
42.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
42.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
41.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
41.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
41.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
41.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
40.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
40.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
40.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
40.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
40.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
40.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
39.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
39.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
39.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
39.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
39.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
39.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
38.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
38.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
38.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
38.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
37.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
37.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
37.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
37.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
36.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
36.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
36.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
36.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
36.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
36.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
36.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
35.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
35.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
34.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
34.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
34.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
34.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
33.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
33.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
33.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
33.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
33.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
33.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
33.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
32.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
32.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
32.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
32.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
32.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
31.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
31.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
31.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
31.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
31.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
30.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
30.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
30.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
30.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
30.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
29.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
29.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
28.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
28.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
28.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
28.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
27.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
27.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
27.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
26.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
25.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
25.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
23.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
21.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
1.6
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.9
82157a70-12f1-4913-b548-d98881_D2
Normal
0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.8
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.8
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.6
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.7
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.8
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.8
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.9
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.1
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
