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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.
CNN3 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
70.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
182.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
172.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
167.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
164.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
163.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
155.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
150.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
144.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
136.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
134.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
133.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
129.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
129.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
128.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
128.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
126.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
125.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
124.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
123.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
122.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
121.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
119.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
118.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
118.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
117.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
115.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
115.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
115.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
113.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
112.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
112.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
111.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
111.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
108.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
108.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
106.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
103.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
103.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
103.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
103.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
102.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
101.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
101.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
100.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
99.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
99.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
98.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
98.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
98.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
97.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
97.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
96.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
95.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
95.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
95.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
95.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
94.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
93.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
93.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
93.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
91.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
90.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
90.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
89.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
89.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
89.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
88.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
88.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
87.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
87.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
86.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
86.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
85.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
84.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
83.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
82.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
82.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
82.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
82.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
81.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
81.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
81.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
81.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
80.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
80.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
79.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
79.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
79.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
79.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
78.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
78.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
78.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
78.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
78.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
77.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
76.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
76.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
75.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
73.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
73.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
73.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
72.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
72.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
72.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
72.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
71.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
70.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
70.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
69.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
69.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
69.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
69.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
68.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
68.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
68.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
68.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
68.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
67.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
66.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
66.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
66.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
66.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
66.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
65.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
65.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
63.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
63.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
63.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
63.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
63.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
63.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
63.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
63.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
63.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
63.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
62.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
62.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
62.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
62.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
62.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
61.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
61.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
61.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
61.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
61.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
60.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
60.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
59.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
59.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
59.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
59.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
59.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
59.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
58.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
57.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
57.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
57.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
57.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
56.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
56.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
55.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
55.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
54.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
54.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
54.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
54.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
54.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
54.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
54.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
53.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
53.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
53.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
53.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
53.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 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
52.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
52.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
52.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
52.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
52.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
52.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
51.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
51.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
51.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
51.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
50.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
50.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
49.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
49.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
47.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
46.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
46.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
46.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
46.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
45.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
45.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
43.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
43.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
43.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
42.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
42.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
41.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
41.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
39.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
39.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
39.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
39.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
38.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
37.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
37.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
37.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
36.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
36.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
36.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
36.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
35.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
35.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
34.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
34.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
33.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
33.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
33.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
33.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
32.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
32.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
32.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
31.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
31.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
30.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
28.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
28.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
28.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
27.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
27.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
27.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
26.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
25.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
24.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
23.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
23.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
23.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
22.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
21.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
18.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
17.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
16.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
16.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
14.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
14.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
14.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
13.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
8.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 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.
CNN3 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
82.7
Number of samples
486
Samples
Sample
Description
TPM
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
203.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
201.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
187.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
173.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
172.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
172.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
168.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
153.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
152.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
149.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
148.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
145.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
141.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
140.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
139.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
139.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
137.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
137.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
136.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
135.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
135.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
134.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
134.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
132.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
131.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
131.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
130.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
130.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
129.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
127.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
126.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
126.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
124.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
124.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
124.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
123.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
122.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
122.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
122.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
122.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
121.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
120.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
120.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
120.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
119.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
119.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
119.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
119.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
118.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
118.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
118.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
117.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
117.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
117.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
116.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
116.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
116.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
116.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
115.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
115.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
115.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
115.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
115.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
114.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
114.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
114.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
114.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
113.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
113.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
113.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
113.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
112.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
112.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
112.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
112.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
111.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
111.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
111.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
110.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
110.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
110.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
110.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
109.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
109.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
109.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
109.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
109.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
108.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
108.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
108.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
108.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
108.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
107.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
107.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
107.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
107.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
106.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
106.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
106.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
106.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
106.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
106.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
105.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
105.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
105.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
105.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
104.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
104.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
104.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
104.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
103.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
103.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
103.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
103.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
102.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
102.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
102.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
102.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
102.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
101.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
101.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
101.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
101.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
101.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
101.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
100.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
100.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
100.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
100.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
99.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
99.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
99.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
99.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
99.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
99.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
99.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
99.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
99.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
99.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
98.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
98.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
98.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
98.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
97.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
97.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
97.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
97.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
97.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
96.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
96.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
96.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
95.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
95.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
95.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
95.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
95.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
95.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
95.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
94.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
94.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
94.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
94.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
94.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
94.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
93.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
93.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
93.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
93.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
93.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
92.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
92.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
92.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
92.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
92.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
92.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
91.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
91.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
91.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
91.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
91.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
91.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
91.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
90.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
90.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
90.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
90.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
90.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
90.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
90.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
90.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
89.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
89.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
89.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
88.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
88.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
87.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
87.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
87.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
86.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
86.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
86.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
86.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
86.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
86.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
86.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
85.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
85.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
85.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
85.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
85.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
85.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
85.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
84.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
84.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
84.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
84.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
84.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
84.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
83.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
83.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
83.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
83.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
82.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
82.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
82.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
82.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
82.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
82.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
82.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
82.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
82.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
81.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
81.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
81.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
81.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
81.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
81.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
80.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
80.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
80.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
80.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
80.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
80.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
80.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
80.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
79.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
79.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
79.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
79.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
79.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
79.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
79.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
79.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
79.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
78.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
78.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
78.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
78.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
78.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
78.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
78.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
78.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
78.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
78.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
78.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
78.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
78.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
77.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
77.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
77.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
77.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
77.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
77.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
77.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
77.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
76.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
76.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
76.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
75.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
75.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
75.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
75.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
75.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
74.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
74.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
74.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
74.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
74.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
74.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
74.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
74.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
73.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
73.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
73.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
73.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
72.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
72.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
72.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
72.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
71.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
71.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
71.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
71.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
71.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
71.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
70.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
70.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
70.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
69.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
69.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
69.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
69.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
69.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
69.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
69.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
69.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
68.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
68.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
68.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
68.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
68.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
68.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
68.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
68.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
68.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
68.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
67.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
67.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
67.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
67.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
67.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
67.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
66.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
66.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
66.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
65.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
65.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
65.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
65.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
65.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
65.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
64.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
64.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
64.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
64.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
64.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
63.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
63.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
63.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
63.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
63.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
63.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
62.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
62.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
62.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
62.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
62.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
62.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
62.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
61.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
61.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
61.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
61.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
61.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
61.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
61.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
61.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
60.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
60.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
60.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
60.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
59.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
59.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
59.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
59.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
58.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
58.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
58.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
58.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
58.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
58.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
58.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
58.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
57.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
57.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
57.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
57.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
57.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
57.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
57.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
56.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
56.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
56.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
56.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
56.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
56.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
55.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
55.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
55.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
55.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
55.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
54.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
54.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
54.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
54.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
54.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
54.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
54.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
54.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
53.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
53.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
53.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
53.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
53.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
52.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
52.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
52.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
52.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
52.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
52.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
52.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
51.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
51.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
51.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
51.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
51.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
51.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
50.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
50.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
50.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
49.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
49.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
49.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
48.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
48.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
47.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
47.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
47.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
46.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
46.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
45.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
45.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
44.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
44.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
44.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
44.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
44.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
44.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
42.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
41.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
40.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
40.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
40.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
40.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
39.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
39.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
39.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
39.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
38.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
37.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
37.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
36.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
34.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
34.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
33.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
33.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
33.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
31.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
31.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
28.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
28.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
27.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
26.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
25.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
25.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
24.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
22.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.3
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.
CNN3 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
75.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
235.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
172.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
163.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
150.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
140.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
135.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
131.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
121.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
119.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
113.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
109.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
109.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
104.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
103.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
100.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
100.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
100.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
98.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
95.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
94.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
94.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
93.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
93.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
92.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
92.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
90.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
90.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
89.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
89.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
89.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
84.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
82.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
81.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
80.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
79.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
75.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
74.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
74.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
74.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
72.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
71.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
70.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
70.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
70.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
70.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
68.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
68.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
67.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
67.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
66.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
65.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
65.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
65.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
64.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
63.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
63.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
61.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
61.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
60.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
57.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
57.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
56.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
56.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
56.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
55.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
54.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
51.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
50.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
50.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
46.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
44.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
44.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
43.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
43.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
41.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
34.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
34.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
33.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
32.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
31.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
30.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
28.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
28.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
23.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
21.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
19.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
17.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CNN3 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
77.7
Number of samples
207
Samples
Sample
Description
TPM
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
166.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
165.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
156.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
146.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
141.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
139.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
138.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
135.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
134.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
134.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
134.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
134.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
130.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
130.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
127.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
127.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
126.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
124.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
123.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
122.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
121.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
120.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
120.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
119.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
117.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
117.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
116.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
115.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
114.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
113.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
113.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
112.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
109.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
109.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
108.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
104.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
104.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
103.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
103.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
103.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
102.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
101.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
101.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
100.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
99.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
99.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
99.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
99.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
99.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
98.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
98.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
98.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
97.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
96.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
95.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
94.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
94.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
93.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
92.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
91.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
90.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
90.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
90.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
88.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
88.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
87.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
87.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
86.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
86.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
86.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
85.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
85.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
84.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
83.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
83.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
83.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
83.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
83.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
83.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
83.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
82.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
82.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
82.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
82.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
82.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
81.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
80.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
79.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
78.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
78.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
77.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
77.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
77.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
77.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
77.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
77.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
76.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
75.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
75.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
75.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
75.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
75.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
75.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
74.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
74.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
74.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
74.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
73.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
73.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
73.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
72.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
72.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
72.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
72.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
71.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
71.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
70.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
70.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
69.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
68.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
67.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
67.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
66.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
66.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
66.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
65.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
65.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
65.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
65.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
64.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
64.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
64.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
64.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
62.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
61.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
61.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
60.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
60.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
60.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
59.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
59.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
59.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
58.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
58.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
57.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
57.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
57.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
57.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
57.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
57.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
56.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
55.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
55.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
54.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
54.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
53.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
53.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
53.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
52.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
52.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
51.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
51.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
51.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
50.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
50.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
50.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
50.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
49.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
48.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
48.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
48.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
48.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
48.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
47.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
47.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
47.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
47.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
46.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
46.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
46.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
46.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
45.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
44.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
44.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
44.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
44.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
43.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
43.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
43.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
42.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
42.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
41.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
40.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
36.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
36.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
35.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
35.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
34.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
33.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
31.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
31.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
29.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
29.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
27.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
9.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
1.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.8
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.7
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.7
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.7
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.7
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.7
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.8
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.8
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.8
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.9
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.9
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.9
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.9
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.9
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.9
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-1.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.2
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
