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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.
CDV3 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
74.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
145.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
141.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
125.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
121.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
120.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
119.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
117.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
116.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
115.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
114.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
114.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
114.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
113.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
113.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
112.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
112.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
110.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
110.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
110.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
109.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
106.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
106.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
105.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
103.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
103.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
101.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
101.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
101.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
100.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
100.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
100.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
100.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
99.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
98.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
98.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
98.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
97.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
97.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
96.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
95.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
95.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
94.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
94.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
93.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
92.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
91.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
91.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
91.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
90.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
90.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
90.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
90.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
90.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
90.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
89.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
89.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
89.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
88.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
88.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
88.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
87.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
87.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
87.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
87.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
86.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
86.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
85.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
85.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
85.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
85.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
84.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
83.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
83.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
83.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
83.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
82.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
82.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
82.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
82.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
82.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
81.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
81.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
80.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
80.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
80.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
80.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
80.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
79.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
79.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
79.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
79.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
79.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
79.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
79.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
79.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
78.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
78.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
78.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
78.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
78.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
78.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
78.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
77.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
77.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
77.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
77.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
76.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
76.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
76.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
76.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
76.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
76.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
76.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
75.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
75.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
75.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
75.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
75.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
74.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
74.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
74.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
74.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
73.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
73.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
73.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
73.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
73.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
72.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
72.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
72.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
72.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
72.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
72.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
71.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
71.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
71.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
71.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
71.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
70.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
70.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
70.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
70.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
70.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
69.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
69.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
69.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
69.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
68.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
68.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
68.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
68.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
68.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
68.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
68.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
67.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
67.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
67.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
67.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
67.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
67.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
66.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
66.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
66.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
66.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
66.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
65.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
65.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
65.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
64.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
64.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
64.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
64.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
64.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
64.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
64.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
63.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
63.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
63.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
63.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
63.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
62.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
62.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
62.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
62.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
62.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
62.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
62.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
61.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
60.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
60.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
60.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
60.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
59.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
59.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
59.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
59.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
58.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
58.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
58.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
58.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
58.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
57.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
56.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
56.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
56.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
56.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
56.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
55.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
55.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
54.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
54.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
54.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
54.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
54.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
54.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
53.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
53.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
53.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
53.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
53.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
52.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
52.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
52.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
52.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
51.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
51.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
51.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
51.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
50.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
50.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
50.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
49.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
49.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
49.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
49.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
48.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
48.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
48.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
48.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
47.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
47.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
47.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
47.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
47.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
45.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
44.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
44.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
43.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
42.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
42.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
40.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
34.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
30.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 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.
CDV3 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
149.0
Number of samples
486
Samples
Sample
Description
TPM
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
275.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
267.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
259.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
253.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
235.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
227.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
222.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
221.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
220.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
217.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
216.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
214.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
213.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
210.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
210.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
207.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
206.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
205.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
204.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
201.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
200.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
199.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
199.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
199.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
199.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
198.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
197.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
196.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
196.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
195.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
194.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
193.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
192.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
192.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
192.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
191.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
191.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
190.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
190.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
190.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
189.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
189.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
189.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
188.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
188.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
188.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
187.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
187.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
187.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
187.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
187.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
186.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
186.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
186.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
186.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
184.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
183.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
183.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
183.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
183.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
183.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
182.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
182.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
181.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
181.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
181.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
180.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
180.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
180.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
179.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
179.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
178.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
178.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
178.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
178.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
178.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
177.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
177.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
177.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
177.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
176.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
176.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
176.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
176.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
175.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
175.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
175.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
175.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
174.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
174.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
174.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
174.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
174.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
174.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
173.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
173.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
173.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
173.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
173.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
173.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
172.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
171.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
171.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
171.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
171.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
170.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
170.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
170.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
169.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
169.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
169.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
169.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
168.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
168.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
168.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
168.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
168.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
168.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
168.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
168.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
167.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
167.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
167.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
167.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
167.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
167.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
167.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
166.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
166.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
166.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
166.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
166.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
166.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
165.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
165.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
165.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
165.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
165.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
164.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
164.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
164.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
164.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
164.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
164.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
163.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
163.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
163.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
163.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
162.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
162.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
162.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
162.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
161.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
161.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
161.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
161.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
161.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
161.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
160.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
160.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
160.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
160.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
160.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
160.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
160.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
160.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
159.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
159.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
159.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
159.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
159.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
159.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
159.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
159.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
159.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
158.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
158.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
158.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
158.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
157.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
157.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
157.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
157.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
157.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
157.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
157.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
156.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
156.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
156.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
156.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
156.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
156.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
156.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
156.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
156.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
155.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
155.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
155.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
155.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
155.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
155.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
155.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
155.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
154.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
154.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
154.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
154.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
153.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
153.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
153.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
153.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
153.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
152.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
152.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
152.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
152.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
152.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
152.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
151.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
151.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
151.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
151.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
151.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
151.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
150.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
150.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
150.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
150.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
150.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
149.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
149.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
149.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
149.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
148.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
148.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
148.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
148.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
147.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
147.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
147.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
147.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
146.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
146.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
146.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
146.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
146.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
146.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
145.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
145.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
145.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
145.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
145.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
145.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
145.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
145.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
145.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
145.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
145.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
145.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
144.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
144.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
144.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
144.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
143.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
143.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
143.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
143.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
143.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
143.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
143.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
143.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
142.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
142.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
142.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
140.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
140.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
140.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
140.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
140.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
140.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
140.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
139.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
139.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
138.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
138.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
138.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
138.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
138.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
138.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
138.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
138.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
138.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
137.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
137.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
137.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
137.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
137.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
137.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
137.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
137.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
137.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
137.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
136.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
136.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
136.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
136.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
136.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
136.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
135.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
135.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
135.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
135.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
135.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
135.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
135.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
135.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
135.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
135.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
135.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
134.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
134.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
134.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
134.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
134.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
134.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
133.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
133.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
133.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
133.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
133.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
133.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
133.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
132.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
132.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
132.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
132.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
132.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
132.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
132.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
132.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
132.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
132.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
132.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
131.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
131.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
131.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
131.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
131.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
130.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
130.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
130.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
130.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
130.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
130.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
129.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
129.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
129.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
129.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
128.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
128.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
128.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
128.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
128.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
127.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
127.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
127.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
127.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
127.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
127.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
127.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
127.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
127.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
127.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
126.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
126.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
126.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
126.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
126.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
126.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
125.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
125.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
125.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
124.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
124.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
124.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
124.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
124.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
124.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
124.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
123.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
123.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
123.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
123.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
123.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
122.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
122.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
122.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
122.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
122.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
122.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
122.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
121.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
121.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
121.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
121.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
121.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
120.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
120.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
120.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
120.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
119.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
119.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
119.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
119.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
119.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
119.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
119.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
118.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
118.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
118.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
118.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
118.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
118.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
117.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
117.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
117.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
117.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
117.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
116.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
116.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
116.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
116.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
116.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
115.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
115.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
115.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
115.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
115.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
114.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
114.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
114.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
114.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
114.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
113.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
113.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
112.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
112.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
112.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
111.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
111.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
110.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
110.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
110.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
110.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
109.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
109.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
107.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
107.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
107.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
106.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
105.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
105.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
104.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
104.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
104.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
102.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
102.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
102.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
101.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
101.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
100.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
100.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
97.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
97.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
97.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
96.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
95.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
94.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
93.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
92.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
92.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
83.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
81.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
80.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
20.1
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.
CDV3 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
76.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
153.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
139.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
134.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
120.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
116.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
113.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
112.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
110.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
108.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
98.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
97.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
97.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
97.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
96.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
96.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
95.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
95.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
95.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
94.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
93.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
93.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
91.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
90.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
88.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
88.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
88.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
88.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
87.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
86.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
85.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
83.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
83.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
82.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
81.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
81.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
81.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
80.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
79.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
79.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
79.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
78.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
78.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
78.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
78.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
78.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
77.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
77.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
75.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
74.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
74.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
74.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
72.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
71.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
71.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
71.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
70.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
69.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
69.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
68.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
68.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
68.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
67.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
65.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
65.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
64.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
64.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
64.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
63.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
62.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
61.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
56.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
54.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
54.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
53.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
51.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
48.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
47.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
47.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
46.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
45.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
42.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
38.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
37.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
37.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
28.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
24.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
18.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
CDV3 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
143.8
Number of samples
207
Samples
Sample
Description
TPM
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
209.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
204.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
202.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
199.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
198.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
196.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
194.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
193.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
193.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
193.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
192.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
190.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
189.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
189.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
188.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
187.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
185.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
185.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
184.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
184.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
183.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
182.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
182.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
182.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
181.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
181.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
179.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
178.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
177.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
174.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
172.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
171.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
170.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
170.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
169.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
168.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
168.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
167.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
167.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
167.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
167.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
167.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
166.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
165.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
165.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
165.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
165.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
164.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
163.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
163.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
163.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
162.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
161.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
161.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
161.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
161.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
160.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
159.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
159.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
159.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
158.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
158.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
157.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
157.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
156.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
156.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
156.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
155.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
155.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
155.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
154.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
153.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
153.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
153.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
153.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
152.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
152.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
151.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
150.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
149.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
149.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
149.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
149.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
149.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
148.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
148.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
148.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
148.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
148.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
148.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
148.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
147.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
147.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
146.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
146.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
145.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
144.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
143.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
143.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
143.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
143.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
143.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
142.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
142.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
142.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
142.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
141.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
141.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
140.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
139.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
139.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
139.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
138.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
138.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
138.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
138.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
136.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
136.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
136.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
136.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
136.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
136.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
136.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
135.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
135.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
134.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
134.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
133.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
132.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
132.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
132.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
131.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
131.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
131.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
131.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
131.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
131.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
131.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
131.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
130.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
130.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
130.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
129.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
129.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
129.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
128.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
128.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
128.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
128.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
128.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
127.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
126.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
126.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
126.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
126.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
125.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
125.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
125.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
124.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
124.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
124.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
123.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
123.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
123.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
122.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
122.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
122.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
121.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
120.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
120.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
120.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
119.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
119.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
118.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
117.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
117.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
117.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
116.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
116.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
116.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
115.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
115.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
114.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
113.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
112.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
111.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
110.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
110.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
110.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
109.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
109.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
107.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
107.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
106.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
105.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
103.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
101.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
98.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
95.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
95.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
95.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
94.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
93.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
82.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
81.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
74.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2400046-1d25-429d-a821-6040a6
Tumor
1.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
1.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
1.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.8
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.9
5e886f1c-8165-4232-9591-d80799_D2
Normal
-1.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-1.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-1.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.3
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
