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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IRF2BP2 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
59.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
119.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
119.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
111.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
108.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
106.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
104.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
102.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
101.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
98.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
96.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
96.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
96.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
96.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
95.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
95.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
94.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
94.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
91.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
90.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
89.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
87.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
87.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
87.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
87.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
86.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
86.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
86.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
84.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
84.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
83.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
81.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
80.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
79.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
79.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
78.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
78.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
77.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
77.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
77.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
76.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
76.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
76.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
75.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
75.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
74.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
74.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
74.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
73.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
73.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
73.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
73.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
73.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
72.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
72.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
72.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
72.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
72.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
72.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
71.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
71.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
71.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
70.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
70.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
69.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
69.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
69.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
69.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
68.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
68.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
68.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
68.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
67.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
67.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
67.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
67.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
67.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
67.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
66.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
66.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
66.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
66.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
66.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
66.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
65.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
65.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
65.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
64.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
64.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
64.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
63.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
63.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
63.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
62.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
62.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
62.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
61.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
61.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
61.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
61.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
61.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
61.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
61.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
61.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
61.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
61.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
60.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
60.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
60.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
60.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
60.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
60.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
60.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
60.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
60.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
60.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
59.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
59.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
59.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
59.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
59.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
59.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
59.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
59.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
59.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
58.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
58.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
58.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
58.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
58.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
58.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
58.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
57.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
57.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
57.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
57.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
57.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
57.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
57.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
56.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
55.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
55.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
55.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
55.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
55.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
55.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
55.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
54.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
54.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
54.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
53.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
53.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
53.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
53.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
53.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
52.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
52.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
52.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
52.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
52.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
52.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
52.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
52.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
52.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
52.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
52.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
51.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
51.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
51.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
50.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
50.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
50.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
50.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
50.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
49.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
49.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
48.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
48.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
48.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
48.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
48.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
47.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
47.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
47.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
47.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
47.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
47.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
46.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
46.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
46.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
46.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
46.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
46.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
45.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
45.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
44.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
44.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
44.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
44.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
44.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
43.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
43.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
43.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
42.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
42.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
42.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
42.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
42.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
42.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
42.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
42.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
41.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
41.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
41.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
41.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
41.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
40.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
40.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
40.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
40.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
40.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
40.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
39.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
39.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
39.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
38.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
38.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
38.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
37.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
37.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
37.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
37.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
37.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
36.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
36.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
36.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
35.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
33.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
32.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
32.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
32.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
31.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
31.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
31.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
31.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
30.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
30.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
30.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
29.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
28.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
26.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
25.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
25.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
17.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
IRF2BP2 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
73.7
Number of samples
486
Samples
Sample
Description
TPM
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
146.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
144.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
143.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
140.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
139.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
137.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
136.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
133.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
132.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
131.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
129.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
127.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
125.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
125.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
123.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
121.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
120.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
120.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
118.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
118.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
117.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
117.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
115.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
115.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
115.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
115.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
114.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
114.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
113.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
113.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
113.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
111.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
111.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
110.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
110.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
110.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
109.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
108.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
108.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
107.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
107.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
106.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
106.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
106.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
105.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
104.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
104.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
104.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
104.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
104.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
103.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
103.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
103.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
103.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
102.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
102.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
101.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
100.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
100.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
99.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
99.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
99.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
99.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
98.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
98.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
98.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
98.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
98.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
97.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
97.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
97.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
96.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
96.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
95.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
95.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
95.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
95.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
95.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
95.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
95.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
94.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
94.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
94.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
93.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
93.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
93.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
93.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
93.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
92.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
92.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
92.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
92.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
92.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
91.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
91.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
91.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
91.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
91.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
91.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
91.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
90.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
90.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
90.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
90.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
90.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
90.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
90.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
89.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
89.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
89.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
89.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
88.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
88.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
88.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
88.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
88.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
87.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
87.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
87.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
87.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
87.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
87.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
86.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
86.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
86.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
86.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
86.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
86.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
86.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
86.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
86.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
85.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
85.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
85.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
85.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
85.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
85.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
84.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
84.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
84.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
84.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
84.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
83.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
83.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
83.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
83.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
83.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
82.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
82.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
82.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
82.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
82.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
81.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
81.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
81.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
81.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
81.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
81.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
81.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
81.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
80.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
80.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
80.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
80.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
80.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
80.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
80.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
79.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
79.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
79.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
79.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
79.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
79.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
79.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
79.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
79.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
79.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
79.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
79.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
78.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
78.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
78.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
78.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
78.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
78.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
78.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
78.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
77.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
77.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
77.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
77.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
77.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
77.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
77.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
77.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
76.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
76.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
76.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
76.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
75.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
75.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
75.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
75.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
75.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
75.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
75.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
75.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
75.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
74.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
74.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
74.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
74.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
74.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
74.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
74.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
74.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
74.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
74.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
73.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
73.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
73.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
73.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
73.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
73.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
73.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
73.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
73.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
73.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
72.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
72.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
72.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
72.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
72.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
71.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
71.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
71.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
71.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
71.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
71.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
71.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
71.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
71.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
71.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
71.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
71.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
71.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
71.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
71.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
71.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
70.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
70.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
70.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
70.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
70.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
70.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
70.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
70.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
70.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
69.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
69.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
69.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
69.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
69.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
69.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
69.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
69.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
68.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
68.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
68.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
68.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
68.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
68.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
68.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
68.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
68.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
68.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
68.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
67.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
67.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
67.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
67.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
67.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
67.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
66.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
66.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
66.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
66.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
66.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
66.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
66.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
66.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
66.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
65.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
65.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
65.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
65.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
65.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
65.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
65.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
65.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
65.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
65.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
65.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
65.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
65.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
65.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
65.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
64.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
64.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
64.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
64.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
64.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
64.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
64.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
64.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
64.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
64.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
64.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
64.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
63.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
63.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
63.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
63.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
63.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
63.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
63.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
63.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
63.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
62.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
62.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
62.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
62.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
62.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
62.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
62.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
62.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
62.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
62.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
61.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
61.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
61.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
61.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
61.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
61.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
61.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
61.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
61.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
61.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
61.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
60.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
60.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
60.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
60.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
60.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
60.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
60.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
60.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
59.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
59.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
59.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
59.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
58.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
58.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
58.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
58.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
58.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
58.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
57.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
57.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
57.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
57.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
57.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
57.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
56.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
56.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
56.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
56.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
56.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
56.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
56.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
56.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
56.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
56.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
55.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
55.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
55.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
55.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
55.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
55.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
55.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
55.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
54.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
54.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
54.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
54.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
54.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
53.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
53.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
53.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
53.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
52.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
52.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
52.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
52.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
52.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
52.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
51.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
51.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
51.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
51.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
51.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
50.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
50.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
50.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
50.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
50.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
50.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
49.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
49.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
49.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
49.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
49.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
49.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
49.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
48.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
48.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
48.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
48.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
48.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
48.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
48.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
48.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
47.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
47.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
47.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
45.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
45.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
45.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
44.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
44.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
44.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
44.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
43.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
43.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
43.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
43.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
43.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
42.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
42.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
42.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
42.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
41.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
41.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
41.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
41.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
40.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
40.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
39.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
39.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
39.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
39.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
39.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
39.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
39.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
38.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
38.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
38.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
38.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
38.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
37.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
36.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
36.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
36.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
34.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
34.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
33.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
32.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
32.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
31.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
23.0
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.
IRF2BP2 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
68.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
114.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
112.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
105.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
102.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
101.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
100.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
99.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
98.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
96.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
96.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
96.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
94.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
93.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
93.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
91.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
89.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
87.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
87.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
87.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
86.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
85.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
83.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
83.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
83.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
82.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
81.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
80.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
80.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
80.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
78.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
77.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
76.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
75.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
74.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
73.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
73.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
70.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
70.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
70.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
69.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
69.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
67.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
67.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
66.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
66.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
65.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
65.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
65.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
64.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
64.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
64.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
63.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
63.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
62.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
62.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
59.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
59.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
58.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
57.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
57.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
57.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
57.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
55.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
55.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
55.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
54.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
53.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
53.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
53.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
52.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
51.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
50.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
50.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
49.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
48.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
48.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
47.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
47.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
47.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
46.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
43.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
42.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
36.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
33.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
33.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
32.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
28.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IRF2BP2 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
78.4
Number of samples
207
Samples
Sample
Description
TPM
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
144.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
138.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
131.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
127.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
126.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
125.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
123.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
121.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
121.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
119.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
118.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
113.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
113.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
112.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
110.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
110.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
109.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
109.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
109.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
108.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
108.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
108.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
107.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
107.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
107.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
107.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
107.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
106.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
105.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
104.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
102.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
102.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
102.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
101.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
101.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
101.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
101.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
100.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
100.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
97.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
97.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
97.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
97.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
97.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
96.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
96.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
96.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
94.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
93.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
92.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
92.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
91.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
90.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
90.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
89.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
89.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
89.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
89.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
89.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
88.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
88.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
88.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
87.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
87.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
87.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
87.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
87.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
86.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
86.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
86.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
85.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
84.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
84.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
83.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
83.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
83.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
82.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
82.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
82.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
82.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
82.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
82.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
81.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
80.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
80.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
80.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
80.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
80.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
79.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
79.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
79.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
79.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
78.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
78.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
78.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
78.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
78.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
78.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
78.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
77.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
77.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
77.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
76.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
76.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
76.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
75.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
75.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
75.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
75.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
75.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
74.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
74.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
74.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
73.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
73.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
73.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
73.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
72.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
72.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
71.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
71.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
71.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
71.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
71.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
71.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
70.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
70.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
69.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
69.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
69.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
69.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
69.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
68.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
68.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
68.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
68.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
67.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
66.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
66.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
66.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
66.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
66.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
65.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
65.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
65.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
64.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
64.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
64.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
63.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
63.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
63.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
62.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
62.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
62.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
62.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
62.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
62.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
61.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
61.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
60.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
59.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
59.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
59.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
59.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
59.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
58.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
58.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
57.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
57.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
57.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
57.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
56.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
56.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
56.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
56.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
56.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
55.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
55.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
54.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
54.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
54.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
53.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
53.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
53.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
52.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
52.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
52.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
52.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
52.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
51.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
50.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
50.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
50.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
50.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
49.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
49.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
48.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
48.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
46.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
44.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
44.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
43.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
43.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
42.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
39.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
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Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
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Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
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Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
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Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
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Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
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Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
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Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
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Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
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Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
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Tumor
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
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
