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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.
DDB1 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
62.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
137.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
132.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
128.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
127.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
110.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
110.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
107.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
106.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
102.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
101.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
101.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
99.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
98.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
98.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
97.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
97.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
96.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
95.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
94.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
94.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
94.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
94.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
93.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
93.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
93.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
93.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
91.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
91.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
91.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
90.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
90.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
90.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
89.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
89.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
88.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
88.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
88.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
88.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
88.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
87.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
87.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
86.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
86.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
86.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
86.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
85.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
85.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
85.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
84.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
84.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
84.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
84.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
83.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
83.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
83.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
83.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
82.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
82.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
81.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
81.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
81.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
81.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
81.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
80.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
80.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
80.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
79.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
78.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
78.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
78.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
77.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
76.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
76.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
75.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
75.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
75.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
75.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
74.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
74.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
74.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
74.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
74.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
73.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
73.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
73.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
72.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
72.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
72.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
71.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
71.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
70.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
70.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
69.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
69.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
69.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
69.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
69.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
69.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
69.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
68.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
68.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
67.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
67.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
67.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
67.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
66.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
66.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
66.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
66.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
66.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
65.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
65.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
65.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
64.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
64.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
64.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
64.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
63.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
63.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
63.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
63.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
62.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
62.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
61.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
61.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
61.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
61.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
61.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
61.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
60.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
60.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
60.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
60.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
60.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
60.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
60.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
60.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
60.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
59.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
59.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
59.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
59.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
59.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
59.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
59.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
59.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
59.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
59.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
58.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
58.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
58.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
58.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
58.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
58.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
57.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
57.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
56.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
56.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
56.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
56.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
56.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
55.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
55.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
55.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
54.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
54.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
53.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
53.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
53.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
52.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
51.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
51.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
51.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
51.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
51.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
51.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
50.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
50.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
50.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
50.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
50.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
49.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
49.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
49.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
49.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
48.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
48.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
48.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
48.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
47.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
47.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
46.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
45.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
45.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
44.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
44.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
44.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
43.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
43.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
43.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
42.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
42.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
42.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
42.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
42.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
41.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
40.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
39.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
39.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
38.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
38.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
38.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
36.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
36.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
36.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
35.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
35.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
34.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
34.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
34.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
34.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
34.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
33.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
33.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
33.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
33.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
33.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
33.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
33.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
32.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
32.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
31.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
30.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
30.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
30.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
27.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
26.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
26.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
26.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
25.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
25.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
24.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
22.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
22.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
21.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
21.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
17.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
16.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
14.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
13.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
13.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
11.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
11.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 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.
DDB1 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
60.8
Number of samples
486
Samples
Sample
Description
TPM
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
115.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
113.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
112.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
109.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
108.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
107.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
106.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
105.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
102.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
101.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
100.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
100.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
100.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
99.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
98.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
97.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
95.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
95.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
94.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
94.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
94.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
94.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
93.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
93.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
93.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
92.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
92.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
91.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
90.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
89.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
89.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
88.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
88.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
88.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
87.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
87.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
86.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
86.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
86.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
85.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
85.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
84.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
84.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
84.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
84.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
84.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
84.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
83.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
83.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
82.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
82.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
82.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
82.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
82.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
82.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
81.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
81.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
81.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
81.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
80.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
80.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
80.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
80.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
80.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
79.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
79.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
78.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
78.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
78.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
78.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
78.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
78.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
78.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
78.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
78.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
77.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
77.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
77.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
77.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
77.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
77.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
77.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
76.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
76.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
76.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
76.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
76.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
76.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
76.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
76.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
75.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
75.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
75.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
75.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
75.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
75.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
73.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
73.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
73.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
73.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
72.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
72.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
72.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
72.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
72.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
72.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
72.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
72.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
72.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
71.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
71.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
71.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
71.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
71.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
71.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
71.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
71.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
71.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
71.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
71.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
71.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
71.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
70.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
70.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
70.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
70.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
70.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
70.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
70.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
70.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
70.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
70.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
70.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
70.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
69.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
69.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
69.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
69.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
69.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
69.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
69.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
69.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
69.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
69.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
69.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
68.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
68.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
68.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
68.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
68.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
68.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
68.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
67.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
67.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
67.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
67.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
67.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
67.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
67.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
67.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
67.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
67.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
67.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
66.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
66.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
66.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
66.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
66.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
66.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
65.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
65.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
65.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
65.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
65.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
65.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
65.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
65.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
65.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
65.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
65.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
65.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
65.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
64.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
64.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
64.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
64.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
64.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
64.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
64.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
64.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
64.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
64.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
63.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
63.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
63.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
63.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
63.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
63.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
63.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
63.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
63.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
62.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
62.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
62.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
62.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
62.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
62.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
62.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
62.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
62.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
62.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
62.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
62.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
62.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
62.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
62.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
62.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
61.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
61.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
61.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
61.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
61.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
61.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
61.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
61.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
61.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
61.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
61.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
61.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
61.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
60.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
60.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
60.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
60.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
60.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
60.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
60.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
59.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
59.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
59.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
59.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
59.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
59.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
59.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
59.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
59.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
59.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
58.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
58.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
58.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
58.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
58.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
58.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
58.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
58.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
58.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
58.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
58.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
57.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
57.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
57.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
57.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
57.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
57.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
57.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
57.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
57.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
57.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
56.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
56.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
56.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
56.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
56.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
56.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
56.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
56.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
55.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
55.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
55.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
55.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
55.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
55.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
55.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
55.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
55.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
55.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
55.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
55.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
54.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
54.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
54.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
54.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
54.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
54.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
54.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
54.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
53.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
53.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
53.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
53.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
53.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
53.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
53.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
53.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
53.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
53.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
53.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
53.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
53.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
53.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
53.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
53.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
52.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
52.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
52.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
52.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
52.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
52.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
52.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
52.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
52.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
52.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
52.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
52.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
52.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
51.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
51.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
51.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
51.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
51.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
51.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
51.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
51.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
51.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
51.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
51.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
51.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
51.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
51.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
51.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
51.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
50.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
50.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
50.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
50.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
50.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
50.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
50.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
50.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
49.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
49.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
49.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
49.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
49.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
49.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
49.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
49.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
49.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
49.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
49.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
49.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
49.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
49.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
48.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
48.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
48.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
48.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
48.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
48.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
48.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
48.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
47.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
47.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
47.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
47.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
47.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
47.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
47.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
47.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
47.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
47.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
46.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
46.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
46.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
46.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
46.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
46.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
46.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
46.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
46.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
46.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
46.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
46.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
46.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
46.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
46.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
46.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
46.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
45.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
45.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
45.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
45.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
45.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
44.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
44.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
44.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
44.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
44.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
44.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
44.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
43.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
43.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
43.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
43.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
43.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
43.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
43.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
43.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
43.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
43.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
43.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
43.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
42.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
41.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
41.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
41.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
41.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
41.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
41.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
40.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
40.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
40.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
40.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
40.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
39.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
39.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
39.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
38.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
38.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
38.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
38.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
37.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
37.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
37.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
37.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
37.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
37.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
36.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
36.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
36.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
35.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
35.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
35.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
35.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
34.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
34.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
33.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
33.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
33.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
33.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
33.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
32.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
31.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
31.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
31.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
30.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
30.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
28.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
28.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
28.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
27.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
26.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
22.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
12.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
DDB1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
61.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
136.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
125.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
122.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
111.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
107.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
102.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
99.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
98.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
94.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
93.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
92.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
89.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
89.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
88.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
88.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
86.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
84.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
83.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
82.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
78.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
78.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
76.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
74.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
73.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
73.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
73.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
72.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
71.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
71.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
71.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
70.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
70.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
69.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
69.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
68.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
67.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
66.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
66.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
66.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
66.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
66.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
65.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
65.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
65.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
64.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
63.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
61.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
59.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
57.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
57.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
57.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
56.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
55.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
55.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
53.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
52.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
50.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
49.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
49.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
48.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
47.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
46.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
46.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
45.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
45.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
44.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
44.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
43.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
43.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
42.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
42.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
41.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
40.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
38.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
38.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
37.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
35.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
34.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
34.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
31.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
30.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
28.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
12.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
10.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
9.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
DDB1 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
53.4
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
99.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
91.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
91.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
88.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
88.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
88.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
87.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
87.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
83.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
83.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
83.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
83.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
82.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
80.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
79.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
78.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
77.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
77.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
76.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
76.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
76.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
75.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
74.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
74.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
73.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
72.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
71.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
71.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
70.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
70.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
70.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
69.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
68.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
68.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
67.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
67.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
67.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
67.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
66.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
66.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
65.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
65.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
64.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
64.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
64.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
64.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
64.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
64.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
64.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
63.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
63.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
62.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
62.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
62.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
62.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
61.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
61.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
61.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
61.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
60.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
60.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
60.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
60.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
60.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
60.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
60.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
60.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
59.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
59.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
59.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
59.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
59.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
58.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
58.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
58.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
58.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
57.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
57.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
57.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
57.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
57.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
56.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
56.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
55.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
55.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
55.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
55.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
55.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
55.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
55.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
54.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
54.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
54.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
54.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
54.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
53.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
53.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
53.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
52.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
52.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
52.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
52.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
51.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
51.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
51.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
51.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
51.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
51.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
51.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
51.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
50.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
50.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
50.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
49.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
49.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
49.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
48.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
48.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
48.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
48.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
48.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
48.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
48.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
48.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
48.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
47.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
47.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
47.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
47.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
47.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
47.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
47.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
46.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
46.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
46.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
46.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
46.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
45.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
45.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
45.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
45.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
44.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
44.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
44.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
44.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
44.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
44.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
43.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
43.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
43.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
43.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
43.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
42.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
42.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
42.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
41.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
41.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
40.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
40.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
40.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
40.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
40.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
39.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
39.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
39.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
38.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
38.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
38.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
38.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
38.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
37.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
37.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
37.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
37.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
37.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
36.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
36.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
36.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
35.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
35.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
34.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
34.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
33.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
33.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
33.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
32.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
32.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
32.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
31.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
31.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
31.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
30.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
30.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
30.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
29.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
28.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
27.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
24.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
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Tumor
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
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Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
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Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
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Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
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Tumor
0.1
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Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
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Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
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Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
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Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
