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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.
CNPY3 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
67.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
183.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
141.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
125.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
125.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
124.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
122.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
120.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
112.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
107.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
105.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
102.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
101.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
100.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
99.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
98.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
96.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
96.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
95.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
94.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
94.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
94.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
93.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
92.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
91.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
90.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
90.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
89.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
89.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
88.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
88.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
88.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
88.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
87.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
87.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
86.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
86.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
85.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
85.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
85.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
85.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
84.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
84.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
84.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
84.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
83.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
82.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
82.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
82.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
82.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
81.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
81.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
81.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
81.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
80.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
80.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
80.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
79.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
79.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
79.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
79.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
78.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
78.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
77.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
77.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
77.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
77.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
76.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
76.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
76.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
76.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
76.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
76.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
75.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
75.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
75.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
75.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
75.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
75.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
75.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
75.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
74.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
74.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
74.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
73.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
73.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
73.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
73.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
72.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
72.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
72.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
71.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
71.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
71.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
71.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
70.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
70.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
70.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
70.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
70.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
69.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
69.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
69.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
69.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
69.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
69.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
68.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
68.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
68.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
68.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
68.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
68.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
68.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
68.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
67.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
67.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
67.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
67.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
67.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
67.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
66.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
66.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
66.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
66.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
66.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
66.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
66.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
65.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
65.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
65.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
65.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
65.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
65.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
65.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
65.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
65.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
65.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
64.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
64.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
64.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
64.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
64.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
64.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
64.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
64.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
63.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
62.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
62.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
62.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
62.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
62.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
62.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
62.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
61.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
61.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
61.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
61.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
61.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
60.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
60.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
60.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
60.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
60.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
60.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
59.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
59.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
59.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
59.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
59.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
58.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
58.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
58.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
58.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
58.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
58.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
57.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
57.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
57.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
57.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
57.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
57.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
57.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
57.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
56.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
56.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
56.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
56.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
56.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
56.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
55.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
55.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
54.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
54.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
53.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
53.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
53.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
53.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
53.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
52.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
52.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
52.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
52.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
52.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
52.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
51.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
51.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
51.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
51.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
51.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
50.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
50.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
50.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
50.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
50.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
49.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
49.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
49.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
48.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
48.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
48.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
47.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
47.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
46.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
46.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
45.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
44.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
44.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
44.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
44.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
44.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
44.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
44.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
44.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
44.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
43.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
42.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
41.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
41.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
41.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
41.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
40.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
39.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
38.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
38.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
38.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
38.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
36.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
35.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
34.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
33.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
32.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
32.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
26.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
24.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
CNPY3 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
46.2
Number of samples
486
Samples
Sample
Description
TPM
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
297.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
249.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
235.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
204.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
114.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
113.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
90.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
85.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
83.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
82.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
80.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
80.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
80.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
79.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
76.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
75.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
71.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
70.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
70.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
68.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
67.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
66.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
66.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
66.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
65.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
65.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
64.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
64.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
64.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
64.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
63.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
63.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
63.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
63.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
62.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
62.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
62.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
62.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
62.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
61.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
61.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
61.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
61.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
61.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
61.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
60.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
60.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
60.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
59.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
59.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
58.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
58.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
58.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
58.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
58.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
57.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
57.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
57.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
57.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
57.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
57.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
57.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
57.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
56.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
56.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
56.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
56.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
56.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
56.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
56.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
55.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
55.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
55.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
55.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
55.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
55.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
55.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
55.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
54.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
54.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
54.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
54.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
54.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
54.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
54.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
54.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
53.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
53.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
53.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
53.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
53.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
53.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
53.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
53.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
53.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
53.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
53.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
53.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
53.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
53.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
53.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
52.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
52.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
52.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
52.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
52.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
52.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
52.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
52.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
52.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
52.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
52.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
52.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
51.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
51.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
51.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
51.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
51.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
51.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
51.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
51.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
51.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
51.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
51.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
51.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
51.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
51.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
50.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
50.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
50.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
50.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
50.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
50.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
50.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
50.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
50.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
50.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
50.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
49.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
49.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
49.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
49.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
49.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
49.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
49.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
49.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
48.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
48.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
48.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
48.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
48.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
48.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
48.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
48.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
48.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
48.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
47.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
47.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
47.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
47.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
47.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
47.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
47.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
47.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
47.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
47.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
47.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
47.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
47.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
47.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
47.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
47.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
46.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
46.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
46.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
46.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
46.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
46.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
46.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
46.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
46.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
46.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
46.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
46.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
46.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
46.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
46.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
46.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
45.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
45.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
45.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
45.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
45.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
45.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
45.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
45.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
45.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
45.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
45.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
45.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
45.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
45.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
45.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
45.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
45.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
45.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
45.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
45.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
45.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
45.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
45.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
44.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
44.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
44.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
44.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
44.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
44.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
44.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
44.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
44.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
44.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
44.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
43.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
43.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
43.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
43.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
43.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
43.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
43.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
43.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
43.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
43.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
43.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
43.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
43.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
43.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
43.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
43.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
43.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
43.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
43.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
43.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
43.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
43.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
43.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
43.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
43.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
43.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
43.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
43.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
42.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
42.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
42.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
42.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
42.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
42.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
42.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
42.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
42.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
42.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
42.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
42.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
42.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
42.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
42.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
42.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
41.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
41.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
41.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
41.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
41.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
41.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
41.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
41.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
41.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
41.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
41.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
41.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
41.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
41.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
41.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
40.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
40.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
40.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
40.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
40.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
40.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
40.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
40.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
40.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
40.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
40.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
40.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
40.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
40.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
40.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
40.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
39.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
39.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
39.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
39.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
39.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
39.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
39.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
39.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
39.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
39.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
39.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
39.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
39.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
39.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
39.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
39.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
39.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
39.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
39.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
39.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
39.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
39.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
39.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
39.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
39.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
39.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
38.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
38.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
38.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
38.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
38.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
38.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
38.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
38.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
38.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
38.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
38.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
38.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
38.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
37.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
37.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
37.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
37.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
37.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
37.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
37.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
37.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
37.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
37.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
37.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
37.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
37.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
37.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
37.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
37.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
37.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
37.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
37.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
37.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
36.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
36.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
36.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
36.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
36.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
36.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
36.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
36.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
36.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
36.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
36.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
36.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
36.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
35.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
35.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
35.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
35.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
35.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
35.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
35.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
35.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
35.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
35.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
35.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
35.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
35.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
35.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
35.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
35.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
34.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
34.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
34.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
34.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
34.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
34.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
34.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
34.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
34.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
34.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
34.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
34.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
34.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
34.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
34.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
33.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
33.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
33.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
33.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
33.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
33.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
33.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
32.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
32.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
32.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
32.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
32.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
32.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
32.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
32.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
32.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
32.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
32.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
32.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
31.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
31.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
31.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
31.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
31.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
31.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
31.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
31.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
31.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
31.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
31.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
31.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
31.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
31.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
31.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
31.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
30.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
30.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
30.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
30.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
30.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
30.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
30.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
30.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
30.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
30.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
30.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
30.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
29.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
29.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
29.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
29.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
29.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
29.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
29.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
29.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
28.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
28.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
28.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
28.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
28.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
27.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
27.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
27.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
26.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
25.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
25.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
25.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
25.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
24.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
22.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
22.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
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.
CNPY3 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
73.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
296.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
199.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
196.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
180.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
140.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
128.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
110.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
109.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
109.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
101.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
99.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
94.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
94.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
90.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
88.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
88.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
86.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
81.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
79.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
78.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
77.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
76.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
76.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
75.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
72.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
72.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
72.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
71.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
71.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
71.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
69.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
69.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
69.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
68.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
68.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
68.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
67.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
66.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
65.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
65.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
65.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
64.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
64.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
64.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
64.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
64.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
64.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
63.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
62.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
62.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
61.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
61.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
61.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
60.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
60.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
59.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
59.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
58.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
58.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
57.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
56.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
56.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
56.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
56.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
56.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
55.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
55.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
55.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
54.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
54.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
54.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
54.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
52.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
52.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
52.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
52.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
51.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
50.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
48.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
46.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
42.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
42.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
41.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
41.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
41.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
41.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
35.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 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.
CNPY3 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
42.3
Number of samples
207
Samples
Sample
Description
TPM
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
115.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
96.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
79.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
73.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
70.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
65.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
65.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
65.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
64.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
64.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
63.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
62.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
61.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
61.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
58.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
57.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
57.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
55.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
55.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
54.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
53.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
53.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
53.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
52.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
52.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
52.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
51.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
51.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
51.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
50.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
50.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
50.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
50.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
50.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
50.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
50.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
49.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
49.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
49.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
48.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
48.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
48.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
47.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
47.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
47.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
46.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
46.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
46.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
46.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
46.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
46.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
46.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
46.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
45.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
45.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
45.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
45.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
45.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
44.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
44.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
44.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
44.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
44.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
44.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
44.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
44.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
44.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
44.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
44.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
44.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
43.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
43.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
43.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
43.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
43.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
43.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
43.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
43.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
43.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
43.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
42.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
42.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
42.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
42.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
42.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
42.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
42.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
42.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
41.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
41.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
41.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
41.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
41.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
41.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
41.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
41.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
41.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
41.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
41.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
41.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
41.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
40.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
40.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
40.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
40.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
40.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
40.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
40.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
40.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
40.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
40.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
40.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
40.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
39.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
39.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
39.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
39.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
39.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
39.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
39.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
39.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
39.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
38.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
38.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
38.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
38.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
38.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
38.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
38.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
38.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
38.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
38.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
38.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
38.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
38.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
37.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
37.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
37.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
37.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
37.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
37.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
37.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
37.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
37.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
36.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
36.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
36.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
36.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
36.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
36.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
36.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
36.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
35.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
35.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
35.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
35.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
35.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
35.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
35.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
34.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
34.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
34.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
34.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
34.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
33.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
33.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
33.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
33.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
33.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
33.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
32.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
32.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
32.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
32.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
31.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
31.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
31.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
31.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
30.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
30.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
30.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
30.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
30.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
30.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
30.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
29.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
29.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
29.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
28.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
28.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
27.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
26.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
26.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
25.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
24.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
24.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
22.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
22.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
20.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.9
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
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Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
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Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
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Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
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Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.6
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.0
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
