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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.
CTNND1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
75.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
157.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
157.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
138.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
137.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
128.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
126.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
126.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
123.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
122.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
118.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
117.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
116.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
116.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
113.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
113.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
113.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
113.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
112.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
111.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
110.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
109.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
108.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
108.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
108.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
107.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
106.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
106.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
106.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
105.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
104.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
103.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
102.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
102.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
102.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
102.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
101.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
100.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
99.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
99.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
98.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
98.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
98.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
98.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
97.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
96.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
96.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
96.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
96.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
96.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
96.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
95.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
94.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
94.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
93.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
93.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
92.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
92.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
91.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
91.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
91.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
91.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
90.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
90.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
90.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
90.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
90.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
89.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
89.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
89.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
88.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
87.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
87.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
87.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
86.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
85.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
85.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
85.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
85.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
84.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
84.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
84.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
84.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
84.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
84.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
83.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
83.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
83.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
83.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
82.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
82.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
82.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
81.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
81.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
81.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
81.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
81.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
81.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
80.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
80.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
80.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
80.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
80.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
80.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
80.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
80.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
79.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
79.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
79.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
78.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
78.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
78.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
77.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
77.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
77.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
76.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
76.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
76.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
76.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
76.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
76.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
75.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
75.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
75.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
75.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
75.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
74.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
74.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
74.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
74.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
74.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
74.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
73.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
73.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
73.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
73.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
72.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
72.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
72.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
72.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
72.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
72.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
72.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
71.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
71.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
70.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
70.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
69.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
69.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
69.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
69.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
69.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
69.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
68.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
68.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
68.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
68.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
68.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
68.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
66.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
66.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
66.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
66.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
65.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
65.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
65.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
65.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
65.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
64.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
64.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
64.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
64.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
64.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
64.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
63.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
63.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
63.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
62.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
62.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
62.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
62.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
62.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
61.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
61.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
61.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
61.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
61.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
60.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
60.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
60.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
59.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
59.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
59.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
59.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
59.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
57.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
57.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
57.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
57.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
56.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
55.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
55.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
55.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
55.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
55.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
55.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
55.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
54.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
54.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
54.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
54.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
54.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
53.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
53.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
53.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
51.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
51.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
51.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
51.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
50.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
50.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
49.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
49.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
49.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
49.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
49.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
49.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
49.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
48.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
47.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
46.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
46.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
45.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
45.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
45.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
45.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
44.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
43.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
43.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
42.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
40.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
40.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
39.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
38.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
37.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
37.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
35.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
35.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
35.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
31.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
30.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
29.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
27.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
27.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
CTNND1 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
141.6
Number of samples
486
Samples
Sample
Description
TPM
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
268.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
249.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
237.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
237.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
230.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
229.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
223.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
213.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
212.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
212.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
212.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
206.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
205.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
204.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
204.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
202.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
202.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
201.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
199.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
198.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
198.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
198.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
197.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
197.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
197.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
196.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
195.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
195.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
194.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
194.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
194.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
192.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
192.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
191.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
190.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
188.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
187.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
187.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
187.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
187.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
186.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
186.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
185.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
185.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
185.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
185.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
184.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
183.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
182.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
182.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
182.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
181.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
181.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
181.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
180.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
180.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
180.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
179.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
178.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
178.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
178.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
177.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
177.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
177.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
177.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
176.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
176.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
176.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
176.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
176.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
176.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
175.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
174.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
174.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
174.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
174.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
173.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
173.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
173.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
172.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
172.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
172.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
172.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
172.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
171.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
171.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
171.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
171.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
171.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
170.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
170.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
169.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
169.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
169.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
168.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
168.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
168.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
168.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
167.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
167.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
167.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
166.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
166.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
166.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
165.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
165.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
165.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
165.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
165.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
165.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
165.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
165.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
164.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
164.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
163.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
163.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
163.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
163.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
163.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
162.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
162.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
162.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
161.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
161.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
161.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
161.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
161.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
161.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
160.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
160.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
160.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
159.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
159.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
158.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
158.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
158.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
158.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
157.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
157.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
157.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
157.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
157.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
157.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
156.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
156.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
156.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
155.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
155.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
155.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
155.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
155.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
155.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
155.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
155.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
154.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
154.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
154.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
154.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
154.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
154.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
154.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
153.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
153.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
153.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
153.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
153.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
152.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
152.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
152.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
152.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
152.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
151.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
151.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
151.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
151.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
150.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
149.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
149.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
149.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
149.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
149.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
149.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
149.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
149.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
148.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
148.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
148.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
148.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
148.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
148.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
148.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
148.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
148.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
148.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
148.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
147.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
147.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
147.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
146.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
146.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
146.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
146.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
145.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
145.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
145.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
145.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
145.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
145.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
145.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
145.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
145.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
145.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
144.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
144.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
144.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
144.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
144.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
144.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
144.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
144.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
143.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
143.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
143.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
143.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
143.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
142.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
142.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
142.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
142.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
142.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
142.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
142.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
142.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
142.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
141.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
141.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
140.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
140.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
140.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
140.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
140.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
139.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
139.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
139.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
138.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
138.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
138.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
138.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
138.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
138.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
138.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
138.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
137.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
137.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
137.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
137.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
137.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
137.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
137.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
136.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
136.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
136.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
136.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
135.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
135.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
135.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
135.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
135.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
135.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
135.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
135.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
135.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
135.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
134.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
134.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
134.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
134.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
134.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
134.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
134.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
133.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
133.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
133.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
133.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
133.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
132.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
132.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
132.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
132.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
132.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
132.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
132.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
131.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
131.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
131.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
131.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
131.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
131.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
131.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
131.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
131.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
130.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
130.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
130.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
130.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
130.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
130.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
130.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
129.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
129.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
129.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
129.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
129.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
129.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
128.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
128.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
128.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
128.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
128.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
128.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
128.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
127.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
127.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
127.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
127.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
127.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
127.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
127.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
127.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
126.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
126.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
126.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
126.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
126.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
126.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
126.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
126.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
125.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
125.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
125.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
125.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
125.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
125.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
125.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
125.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
124.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
124.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
124.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
123.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
123.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
123.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
123.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
123.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
123.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
123.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
122.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
122.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
122.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
122.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
122.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
122.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
122.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
122.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
122.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
121.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
121.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
121.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
121.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
121.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
121.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
120.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
120.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
120.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
120.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
120.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
120.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
119.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
119.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
119.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
119.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
119.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
119.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
118.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
118.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
118.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
118.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
118.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
118.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
118.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
117.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
117.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
117.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
117.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
117.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
117.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
116.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
116.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
116.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
116.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
115.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
115.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
115.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
114.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
114.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
114.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
113.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
113.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
113.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
113.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
113.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
112.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
112.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
111.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
111.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
111.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
111.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
111.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
110.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
110.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
110.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
109.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
109.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
109.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
108.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
107.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
107.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
105.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
105.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
104.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
104.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
103.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
103.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
103.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
103.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
103.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
102.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
102.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
102.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
102.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
101.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
101.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
99.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
99.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
99.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
97.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
96.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
96.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
95.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
95.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
95.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
93.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
93.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
93.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
91.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
91.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
91.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
91.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
91.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
90.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
89.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
89.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
87.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
87.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
87.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
87.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
86.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
84.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
84.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
83.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
82.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
82.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
82.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
80.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
80.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
79.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
78.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
78.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
75.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
75.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
74.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
71.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
70.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
67.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
65.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.2
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.
CTNND1 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
78.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
165.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
143.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
139.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
139.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
125.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
119.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
114.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
106.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
105.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
105.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
102.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
102.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
101.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
101.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
100.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
100.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
99.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
99.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
97.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
96.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
96.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
95.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
94.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
94.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
92.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
92.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
91.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
91.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
91.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
91.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
90.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
88.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
88.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
88.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
87.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
86.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
85.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
84.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
84.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
84.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
83.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
83.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
80.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
80.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
80.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
79.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
78.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
75.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
75.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
74.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
73.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
73.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
73.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
71.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
71.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
70.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
70.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
69.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
69.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
68.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
66.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
64.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
61.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
60.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
60.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
60.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
57.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
57.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
57.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
57.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
56.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
56.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
50.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
50.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
50.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
49.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
48.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
48.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
47.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
38.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
34.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
29.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
29.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
27.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
25.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
25.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
20.4
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.
CTNND1 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
136.2
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
325.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
267.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
247.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
222.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
215.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
214.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
212.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
204.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
201.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
200.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
196.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
196.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
194.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
193.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
191.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
190.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
188.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
187.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
180.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
177.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
176.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
173.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
172.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
172.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
171.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
171.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
170.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
170.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
169.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
168.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
167.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
166.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
164.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
163.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
163.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
162.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
162.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
161.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
161.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
161.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
160.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
159.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
159.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
159.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
159.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
159.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
158.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
158.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
156.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
156.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
156.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
155.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
154.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
153.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
151.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
151.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
151.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
150.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
150.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
148.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
148.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
148.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
148.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
147.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
147.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
147.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
147.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
145.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
145.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
144.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
144.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
143.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
143.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
143.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
142.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
142.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
142.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
142.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
141.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
141.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
140.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
140.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
140.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
139.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
139.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
139.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
139.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
139.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
138.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
137.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
137.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
137.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
137.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
136.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
136.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
136.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
135.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
135.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
135.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
135.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
134.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
134.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
134.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
134.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
133.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
133.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
133.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
132.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
132.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
132.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
132.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
131.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
131.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
131.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
131.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
131.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
130.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
130.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
129.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
129.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
129.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
129.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
128.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
127.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
127.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
127.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
127.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
126.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
126.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
126.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
126.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
125.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
125.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
125.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
124.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
124.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
124.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
124.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
123.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
123.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
123.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
123.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
122.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
122.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
121.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
120.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
120.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
120.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
119.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
117.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
116.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
116.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
116.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
116.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
114.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
114.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
114.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
114.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
113.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
113.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
113.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
111.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
111.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
111.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
109.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
109.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
107.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
107.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
106.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
106.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
106.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
106.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
104.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
102.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
101.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
101.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
101.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
100.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
100.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
100.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
99.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
99.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
99.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
98.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
97.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
96.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
96.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
95.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
93.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
91.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
90.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
87.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
87.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
86.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
83.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
82.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
80.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
78.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
76.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
75.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
75.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
74.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
74.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
65.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
65.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
63.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
25.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
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Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
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Tumor
0.1
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Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
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Tumor
0.0
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Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
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Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
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Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
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Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
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Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
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Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
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Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
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Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
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Tumor
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.4
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
