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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.
NUCB2 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
44.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
268.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
168.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
152.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
129.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
124.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
113.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
107.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
102.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
102.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
98.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
94.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
92.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
91.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
88.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
86.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
85.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
85.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
79.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
78.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
77.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
77.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
76.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
76.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
75.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
74.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
74.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
74.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
73.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
73.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
70.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
68.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
66.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
66.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
64.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
63.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
62.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
62.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
62.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
62.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
62.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
62.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
59.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
59.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
58.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
57.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
57.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
57.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
56.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
55.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
55.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
54.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
54.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
53.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
53.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
53.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
53.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
52.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
52.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
52.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
52.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
51.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
50.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
50.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
50.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
50.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
50.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
50.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
50.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
50.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
50.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
49.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
49.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
49.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
49.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
49.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
48.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
48.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
48.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
47.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
47.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
47.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
47.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
47.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
47.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
46.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
46.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
46.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
46.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
46.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
45.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
45.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
45.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
45.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
45.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
45.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
44.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
44.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
43.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
42.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
42.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
42.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
42.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
42.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
42.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
41.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
41.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
41.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
40.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
40.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
40.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
40.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
40.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
39.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
39.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
39.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
38.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
38.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
38.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
38.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
37.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
37.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
37.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
37.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
37.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
36.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
36.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
36.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
36.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
36.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
36.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
35.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
35.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
35.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
35.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
34.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
34.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
34.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
34.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
34.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
34.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
34.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
34.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
33.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
33.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
33.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
33.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
33.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
33.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
33.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
33.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
33.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
33.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
32.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
32.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
32.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
32.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
32.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
32.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
32.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
32.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
32.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
32.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
31.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
31.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
31.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
31.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
31.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
31.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
30.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
30.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
30.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
30.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
30.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
30.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
30.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
30.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
30.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
30.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
29.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
29.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
29.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
29.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
29.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
29.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
29.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
29.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
28.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
28.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
28.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
28.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
28.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
27.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
27.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
27.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
27.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
27.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
26.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
26.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
26.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
26.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
26.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
26.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
26.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
26.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
26.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
25.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
25.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
25.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
25.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
25.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
25.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
25.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
25.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
24.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
24.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
24.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
24.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
24.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
23.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
23.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
23.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
23.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
23.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
23.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
23.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
23.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
22.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
22.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
21.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
21.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
21.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
21.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
21.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
20.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
20.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
19.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
19.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
19.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
18.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
18.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
18.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
18.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
18.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
18.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
17.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
17.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
16.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
16.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
16.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
16.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
13.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NUCB2 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
59.8
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
394.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
287.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
269.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
226.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
202.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
197.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
191.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
188.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
181.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
158.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
157.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
144.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
143.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
143.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
140.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
135.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
127.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
126.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
120.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
118.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
117.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
116.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
115.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
115.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
114.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
113.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
113.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
111.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
109.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
109.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
109.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
108.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
108.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
108.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
108.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
107.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
106.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
100.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
99.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
99.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
98.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
98.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
97.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
97.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
97.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
96.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
94.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
94.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
93.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
93.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
93.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
92.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
92.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
91.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
91.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
91.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
91.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
91.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
90.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
90.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
90.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
89.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
87.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
86.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
86.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
85.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
84.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
84.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
84.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
83.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
83.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
82.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
82.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
82.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
82.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
81.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
81.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
81.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
80.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
80.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
80.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
80.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
79.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
79.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
79.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
79.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
78.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
78.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
78.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
78.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
78.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
77.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
77.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
77.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
77.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
77.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
77.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
77.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
76.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
76.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
75.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
75.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
74.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
74.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
74.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
74.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
74.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
74.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
74.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
72.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
71.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
71.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
71.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
71.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
70.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
70.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
70.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
70.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
70.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
70.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
69.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
69.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
68.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
68.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
68.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
68.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
68.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
68.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
68.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
68.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
68.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
67.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
67.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
67.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
67.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
66.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
66.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
66.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
65.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
65.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
65.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
65.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
65.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
65.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
65.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
64.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
64.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
64.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
64.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
64.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
64.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
64.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
64.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
64.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
63.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
63.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
63.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
63.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
63.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
63.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
63.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
63.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
62.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
62.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
62.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
62.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
62.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
62.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
62.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
61.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
61.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
61.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
61.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
61.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
61.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
61.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
60.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
60.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
60.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
59.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
59.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
59.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
59.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
59.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
59.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
58.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
58.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
58.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
58.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
58.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
58.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
58.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
58.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
58.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
58.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
57.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
57.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
57.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
57.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
57.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
57.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
57.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
56.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
56.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
56.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
56.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
56.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
56.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
56.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
55.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
55.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
55.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
55.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
55.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
55.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
55.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
55.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
55.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
55.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
55.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
54.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
54.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
54.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
54.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
54.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
54.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
54.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
54.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
54.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
54.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
53.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
53.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
53.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
53.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
53.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
53.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
53.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
53.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
53.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
53.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
52.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
52.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
52.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
52.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
52.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
52.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
52.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
52.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
52.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
52.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
51.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
51.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
51.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
51.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
51.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
51.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
51.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
51.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
50.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
50.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
50.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
50.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
50.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
50.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
50.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
49.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
49.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
49.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
49.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
49.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
48.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
48.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
48.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
48.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
48.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
48.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
48.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
48.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
48.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
48.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
47.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
47.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
47.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
47.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
47.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
47.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
47.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
47.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
47.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
47.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
47.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
47.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
46.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
46.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
46.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
46.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
46.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
46.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
46.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
46.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
46.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
46.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
45.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
45.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
45.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
45.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
45.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
45.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
45.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
44.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
44.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
44.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
44.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
44.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
44.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
44.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
44.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
44.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
43.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
43.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
43.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
43.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
43.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
43.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
43.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
43.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
43.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
43.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
42.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
42.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
42.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
42.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
42.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
42.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
42.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
42.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
41.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
41.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
41.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
41.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
41.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
41.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
40.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
40.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
40.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
40.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
40.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
40.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
40.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
40.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
40.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
40.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
39.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
39.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
39.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
39.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
39.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
39.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
39.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
39.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
39.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
38.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
38.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
38.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
38.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
38.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
38.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
38.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
38.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
38.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
38.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
38.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
37.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
37.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
37.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
37.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
37.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
37.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
37.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
37.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
37.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
37.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
37.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
37.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
37.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
36.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
36.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
36.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
36.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
36.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
36.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
36.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
36.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
36.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
36.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
35.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
35.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
35.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
35.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
35.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
35.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
35.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
35.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
35.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
35.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
34.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
34.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
34.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
34.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
34.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
34.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
34.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
34.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
34.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
33.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
33.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
33.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
33.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
33.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
33.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
33.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
33.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
32.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
32.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
32.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
31.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
31.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
31.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
30.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
30.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
30.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
30.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
30.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
29.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
29.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
29.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
29.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
29.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
29.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
28.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
28.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
28.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
28.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
28.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
28.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
28.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
28.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
28.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
28.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
27.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
27.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
26.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
26.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
26.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
26.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
25.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
25.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
25.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
25.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
25.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
25.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
25.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
24.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
24.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
24.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
24.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
24.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
24.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
23.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
23.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
23.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
22.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
21.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
21.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
20.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
18.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
18.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
18.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
15.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
14.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
14.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NUCB2 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
39.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
136.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
124.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
102.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
87.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
75.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
63.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
62.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
59.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
56.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
55.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
55.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
54.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
53.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
51.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
51.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
50.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
49.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
49.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
49.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
48.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
47.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
47.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
47.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
47.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
47.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
45.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
44.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
43.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
43.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
42.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
42.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
42.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
41.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
41.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
41.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
40.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
40.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
39.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
39.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
39.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
38.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
38.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
38.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
37.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
35.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
34.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
34.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
32.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
32.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
32.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
31.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
31.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
31.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
31.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
30.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
30.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
30.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
30.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
29.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
29.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
29.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
29.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
27.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
27.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
27.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
26.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
26.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
26.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
25.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
25.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
24.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
23.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
23.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
21.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
20.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
20.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
20.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
20.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
19.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
18.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
18.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
18.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
15.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
15.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
13.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
12.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
9.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 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.
NUCB2 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
50.9
Number of samples
207
Samples
Sample
Description
TPM
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
256.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
247.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
206.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
143.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
99.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
93.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
92.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
90.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
88.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
81.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
75.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
73.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
73.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
73.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
72.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
71.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
70.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
70.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
69.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
69.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
69.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
69.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
68.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
68.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
67.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
67.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
67.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
65.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
65.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
64.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
64.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
64.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
63.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
63.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
62.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
62.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
61.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
61.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
61.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
61.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
61.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
61.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
61.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
61.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
60.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
58.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
58.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
58.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
58.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
58.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
57.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
57.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
57.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
57.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
57.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
56.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
56.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
56.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
56.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
55.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
55.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
55.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
54.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
54.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
54.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
54.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
53.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
53.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
53.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
53.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
53.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
52.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
52.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
51.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
51.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
51.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
51.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
51.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
51.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
50.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
50.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
50.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
50.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
50.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
49.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
49.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
49.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
48.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
48.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
48.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
48.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
47.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
47.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
47.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
47.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
47.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
47.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
46.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
46.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
46.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
46.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
46.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
46.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
45.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
45.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
45.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
45.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
44.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
44.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
44.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
44.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
43.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
43.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
43.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
43.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
43.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
43.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
43.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
43.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
43.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
43.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
42.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
42.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
42.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
42.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
42.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
41.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
41.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
41.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
41.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
41.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
40.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
40.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
40.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
40.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
40.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
40.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
40.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
40.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
39.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
39.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
39.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
39.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
39.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
39.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
38.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
38.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
38.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
38.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
38.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
38.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
38.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
38.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
37.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
37.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
37.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
37.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
37.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
37.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
37.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
37.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
37.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
36.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
36.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
36.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
36.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
36.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
35.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
35.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
35.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
35.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
34.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
34.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
33.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
32.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
32.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
31.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
31.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
31.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
31.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
31.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
30.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
30.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
29.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
29.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
28.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
28.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
28.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
27.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
26.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
25.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
25.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
25.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
24.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
21.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
21.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
21.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
20.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
20.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
16.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
11.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
1.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.9
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.9
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.8
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.8
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
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Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
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Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.9
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.2
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.