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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.
ATP6V0D1 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
75.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
213.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
181.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
154.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
152.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
151.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
141.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
140.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
136.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
135.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
133.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
130.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
129.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
128.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
121.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
115.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
114.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
109.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
109.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
109.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
109.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
108.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
107.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
104.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
102.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
102.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
102.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
102.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
102.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
101.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
100.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
99.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
98.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
97.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
97.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
96.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
96.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
96.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
95.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
95.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
94.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
94.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
94.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
93.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
93.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
93.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
93.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
92.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
92.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
92.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
92.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
92.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
91.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
91.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
91.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
90.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
90.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
90.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
90.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
90.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
90.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
89.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
88.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
88.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
87.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
87.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
87.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
87.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
86.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
86.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
86.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
85.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
84.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
84.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
84.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
83.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
83.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
82.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
82.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
82.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
81.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
81.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
81.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
81.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
81.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
81.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
80.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
80.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
80.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
80.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
80.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
80.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
80.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
79.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
79.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
79.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
79.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
79.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
78.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
78.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
77.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
77.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
77.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
77.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
76.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
76.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
76.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
76.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
76.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
75.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
75.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
75.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
75.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
75.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
75.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
75.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
75.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
75.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
74.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
74.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
74.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
74.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
73.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
73.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
72.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
72.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
72.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
72.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
71.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
71.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
71.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
71.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
71.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
71.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
70.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
70.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
70.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
69.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
69.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
69.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
69.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
69.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
69.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
69.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
69.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
69.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
69.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
68.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
68.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
68.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
68.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
68.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
67.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
67.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
67.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
67.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
67.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
67.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
67.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
66.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
66.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
66.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
66.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
65.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
64.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
64.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
63.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
63.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
63.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
63.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
62.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
62.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
61.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
61.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
61.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
61.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
61.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
61.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
60.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
60.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
60.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
60.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
60.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
60.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
60.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
60.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
59.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
59.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
59.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
59.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
59.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
58.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
58.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
58.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
58.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
58.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
57.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
57.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
57.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
57.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
57.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
57.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
56.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
56.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
56.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
55.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
55.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
55.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
55.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
55.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
54.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
54.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
54.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
53.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
53.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
53.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
52.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
52.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
52.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
52.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
51.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
51.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
51.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
51.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
51.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
50.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
50.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
50.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
50.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
50.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
49.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
49.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
49.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
48.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
48.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
47.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
47.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
47.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
46.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
46.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
45.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
43.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
41.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
40.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
40.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
39.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
38.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
36.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
36.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
36.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
34.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
33.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
29.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
ATP6V0D1 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
52.1
Number of samples
486
Samples
Sample
Description
TPM
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
92.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
90.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
90.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
87.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
87.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
85.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
85.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
83.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
82.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
81.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
81.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
81.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
81.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
81.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
79.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
78.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
77.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
77.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
76.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
76.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
76.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
76.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
75.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
74.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
73.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
73.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
73.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
73.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
72.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
72.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
72.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
72.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
72.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
71.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
71.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
71.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
71.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
71.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
71.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
71.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
70.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
70.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
70.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
70.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
69.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
69.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
69.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
69.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
69.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
68.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
68.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
68.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
68.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
68.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
68.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
67.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
67.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
67.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
67.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
67.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
67.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
67.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
66.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
66.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
66.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
66.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
66.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
66.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
66.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
66.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
66.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
66.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
65.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
65.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
65.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
65.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
65.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
65.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
65.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
64.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
64.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
64.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
64.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
64.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
64.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
64.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
63.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
63.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
63.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
63.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
63.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
63.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
63.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
62.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
62.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
62.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
62.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
62.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
62.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
62.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
61.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
61.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
61.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
61.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
61.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
61.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
61.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
61.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
60.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
60.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
60.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
60.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
60.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
60.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
60.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
60.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
60.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
60.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
60.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
60.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
60.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
60.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
59.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
59.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
59.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
59.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
59.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
59.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
59.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
59.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
59.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
59.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
59.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
59.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
58.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
58.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
58.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
58.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
58.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
58.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
58.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
58.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
58.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
58.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
58.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
58.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
57.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
57.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
57.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
57.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
57.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
57.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
57.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
57.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
57.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
57.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
57.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
56.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
56.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
56.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
56.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
56.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
56.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
56.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
56.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
56.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
56.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
56.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
56.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
55.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
55.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
55.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
55.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
55.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
55.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
55.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
55.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
55.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
55.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
55.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
55.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
55.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
55.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
55.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
55.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
55.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
55.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
54.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
54.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
54.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
54.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
54.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
54.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
54.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
54.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
54.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
54.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
54.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
54.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
54.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
54.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
54.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
54.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
54.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
53.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
53.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
53.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
53.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
53.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
53.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
53.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
53.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
53.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
53.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
53.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
53.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
52.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
52.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
52.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
52.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
52.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
52.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
52.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
52.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
52.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
52.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
52.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
52.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
52.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
52.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
52.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
51.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
51.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
51.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
51.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
51.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
51.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
51.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
51.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
51.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
51.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
51.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
51.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
51.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
51.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
51.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
51.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
50.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
50.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
50.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
50.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
50.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
50.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
50.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
50.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
50.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
50.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
50.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
50.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
50.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
50.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
50.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
49.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
49.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
49.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
49.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
49.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
49.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
49.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
49.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
49.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
49.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
49.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
49.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
49.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
49.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
49.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
49.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
49.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
49.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
49.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
48.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
48.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
48.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
48.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
48.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
48.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
48.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
48.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
48.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
48.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
48.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
48.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
48.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
48.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
48.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
48.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
47.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
47.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
47.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
47.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
47.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
47.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
47.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
47.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
47.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
47.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
47.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
47.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
46.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
46.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
46.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
46.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
46.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
46.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
46.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
46.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
46.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
46.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
46.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
46.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
46.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
45.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
45.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
45.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
45.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
45.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
45.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
45.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
45.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
45.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
45.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
45.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
45.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
45.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
45.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
45.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
45.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
44.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
44.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
44.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
44.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
44.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
44.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
44.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
44.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
44.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
44.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
44.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
44.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
43.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
43.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
43.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
43.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
43.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
43.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
43.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
43.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
43.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
43.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
43.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
43.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
43.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
43.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
43.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
43.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
43.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
43.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
43.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
43.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
42.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
42.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
42.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
42.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
42.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
42.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
42.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
42.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
42.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
42.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
42.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
42.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
42.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
42.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
42.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
42.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
41.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
41.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
41.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
41.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
41.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
41.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
41.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
41.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
40.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
40.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
40.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
40.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
40.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
40.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
40.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
40.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
40.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
39.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
39.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
39.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
39.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
39.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
39.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
39.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
39.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
39.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
38.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
38.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
38.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
38.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
38.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
38.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
37.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
37.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
37.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
37.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
37.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
36.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
36.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
36.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
36.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
36.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
36.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
35.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
35.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
35.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
35.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
35.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
35.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
35.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
35.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
35.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
35.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
35.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
34.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
34.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
34.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
34.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
33.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
33.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
33.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
33.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
33.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
32.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
32.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
32.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
32.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
32.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
31.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
31.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
31.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
31.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
31.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
30.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
30.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
30.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
30.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
29.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
28.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
27.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
26.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
26.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
25.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
24.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
23.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
21.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
13.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.7
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.
ATP6V0D1 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
72.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
164.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
144.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
143.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
112.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
112.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
110.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
108.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
108.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
106.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
101.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
101.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
98.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
98.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
96.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
96.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
95.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
94.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
94.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
92.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
90.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
89.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
88.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
88.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
87.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
87.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
87.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
84.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
83.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
82.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
81.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
80.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
80.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
80.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
79.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
78.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
77.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
75.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
75.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
74.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
74.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
74.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
71.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
69.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
67.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
67.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
67.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
67.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
66.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
65.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
64.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
64.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
64.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
63.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
63.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
62.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
62.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
61.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
61.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
61.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
61.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
60.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
59.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
59.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
58.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
58.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
57.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
57.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
57.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
56.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
56.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
54.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
53.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
53.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
51.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
50.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
48.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
43.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
42.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
39.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
37.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
37.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
34.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
33.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
31.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
30.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
29.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
27.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
ATP6V0D1 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
46.6
Number of samples
207
Samples
Sample
Description
TPM
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
98.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
93.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
89.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
85.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
81.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
80.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
80.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
77.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
75.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
74.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
73.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
73.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
72.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
71.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
71.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
70.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
69.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
68.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
65.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
65.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
64.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
64.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
63.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
63.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
63.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
62.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
62.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
62.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
61.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
61.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
60.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
60.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
60.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
59.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
59.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
58.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
58.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
58.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
58.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
58.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
57.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
57.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
57.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
57.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
56.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
56.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
56.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
55.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
55.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
55.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
55.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
55.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
54.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
54.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
54.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
54.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
53.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
53.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
53.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
52.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
52.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
52.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
51.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
51.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
51.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
51.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
51.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
51.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
51.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
51.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
51.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
51.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
51.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
50.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
50.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
50.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
50.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
50.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
50.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
49.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
49.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
49.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
49.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
49.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
48.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
48.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
48.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
48.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
47.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
47.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
47.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
47.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
47.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
47.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
47.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
47.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
47.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
47.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
46.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
46.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
46.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
46.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
46.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
46.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
45.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
45.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
45.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
45.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
45.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
44.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
44.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
44.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
44.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
44.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
44.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
44.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
44.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
43.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
43.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
43.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
43.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
42.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
42.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
42.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
42.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
41.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
41.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
41.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
41.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
40.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
40.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
40.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
40.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
39.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
39.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
39.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
39.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
39.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
39.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
39.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
38.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
38.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
38.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
37.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
37.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
37.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
37.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
37.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
37.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
37.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
37.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
37.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
36.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
36.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
36.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
35.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
35.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
35.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
35.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
35.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
35.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
35.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
34.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
34.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
33.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
33.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
33.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
33.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
32.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
32.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
32.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
31.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
31.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
31.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
31.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
30.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
30.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
30.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
30.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
29.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
29.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
29.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
29.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
29.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
28.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
28.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
28.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
27.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
26.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
26.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
24.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
24.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
23.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
23.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
23.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
23.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
22.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
17.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
17.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
16.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
2.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.9
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
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Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
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Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
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Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
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Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
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
