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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.
COPA 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
68.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
198.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
137.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
128.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
128.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
124.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
117.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
115.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
113.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
111.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
111.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
107.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
106.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
105.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
101.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
97.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
97.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
94.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
94.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
93.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
93.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
92.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
90.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
90.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
88.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
88.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
86.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
86.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
86.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
86.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
85.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
85.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
84.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
84.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
83.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
83.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
83.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
83.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
83.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
82.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
82.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
82.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
82.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
81.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
81.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
81.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
81.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
80.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
80.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
80.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
79.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
77.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
77.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
77.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
77.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
76.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
76.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
76.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
76.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
76.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
76.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
75.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
75.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
75.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
75.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
74.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
74.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
74.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
74.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
74.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
73.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
73.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
73.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
72.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
72.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
72.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
72.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
72.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
71.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
71.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
71.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
71.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
71.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
70.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
70.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
70.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
70.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
70.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
70.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
70.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
70.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
70.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
69.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
69.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
69.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
69.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
69.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
69.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
69.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
68.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
68.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
68.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
68.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
67.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
67.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
67.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
67.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
67.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
67.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
67.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
66.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
66.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
66.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
66.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
66.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
66.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
66.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
66.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
66.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
66.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
66.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
66.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
65.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
65.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
65.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
65.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
65.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
65.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
65.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
64.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
64.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
64.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
64.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
64.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
64.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
64.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
64.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
63.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
63.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
63.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
63.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
63.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
63.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
63.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
63.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
63.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
63.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
63.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
63.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
62.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
62.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
62.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
62.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
62.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
62.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
62.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
62.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
61.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
61.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
61.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
61.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
61.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
61.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
61.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
61.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
61.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
61.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
61.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
60.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
60.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
60.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
60.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
59.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
59.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
58.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
58.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
58.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
58.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
58.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
58.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
58.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
57.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
57.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
57.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
57.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
57.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
57.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
56.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
56.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
56.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
56.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
56.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
55.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
55.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
55.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
55.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
55.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
55.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
55.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
55.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
54.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
54.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
54.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
54.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
53.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
53.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
53.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
53.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
53.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
53.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
53.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
52.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
52.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
52.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
51.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
51.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
51.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
51.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
51.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
50.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
50.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
50.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
50.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
50.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
50.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
50.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
49.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
49.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
49.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
49.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
49.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
49.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
48.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
48.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
47.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
47.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
47.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
47.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
46.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
46.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
46.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
46.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
45.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
44.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
44.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
44.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
43.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
42.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
41.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
40.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
39.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
38.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 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.
COPA 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
66.2
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
253.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
171.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
158.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
137.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
131.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
120.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
118.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
115.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
115.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
112.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
110.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
108.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
107.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
104.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
104.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
103.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
102.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
102.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
102.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
100.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
100.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
99.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
99.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
98.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
98.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
97.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
96.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
95.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
95.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
95.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
95.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
95.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
95.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
95.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
94.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
94.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
94.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
93.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
93.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
93.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
92.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
92.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
92.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
92.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
91.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
91.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
91.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
89.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
89.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
89.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
89.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
89.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
89.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
89.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
88.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
88.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
88.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
88.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
87.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
87.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
87.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
87.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
86.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
86.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
86.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
86.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
86.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
84.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
84.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
84.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
84.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
84.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
83.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
83.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
83.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
83.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
82.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
82.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
82.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
82.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
82.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
82.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
82.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
81.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
81.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
80.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
80.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
80.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
80.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
80.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
79.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
79.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
79.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
79.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
79.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
78.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
78.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
78.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
78.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
78.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
78.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
78.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
78.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
78.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
78.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
78.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
78.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
77.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
77.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
77.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
77.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
77.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
77.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
77.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
76.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
76.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
76.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
76.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
76.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
76.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
76.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
76.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
75.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
75.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
75.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
75.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
75.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
74.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
74.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
74.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
74.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
74.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
74.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
74.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
74.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
73.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
73.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
73.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
73.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
73.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
73.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
73.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
73.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
73.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
73.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
73.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
73.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
73.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
73.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
72.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
72.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
72.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
72.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
72.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
72.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
72.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
72.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
72.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
72.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
72.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
72.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
71.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
71.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
71.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
71.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
71.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
71.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
71.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
70.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
70.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
70.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
70.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
70.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
70.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
70.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
70.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
70.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
69.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
69.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
69.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
69.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
69.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
69.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
69.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
69.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
69.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
68.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
68.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
68.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
68.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
67.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
67.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
67.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
67.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
67.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
67.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
67.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
67.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
67.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
66.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
66.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
66.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
66.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
66.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
66.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
66.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
66.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
66.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
66.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
65.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
65.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
65.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
65.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
65.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
65.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
65.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
65.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
65.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
65.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
65.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
65.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
64.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
64.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
64.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
64.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
64.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
64.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
64.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
64.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
64.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
64.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
64.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
64.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
64.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
64.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
63.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
63.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
63.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
63.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
63.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
63.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
63.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
63.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
62.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
62.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
62.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
62.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
62.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
62.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
61.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
61.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
61.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
61.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
61.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
61.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
61.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
61.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
61.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
61.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
61.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
61.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
61.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
61.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
61.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
61.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
61.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
61.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
61.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
61.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
60.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
60.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
60.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
60.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
60.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
60.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
60.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
60.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
60.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
60.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
60.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
60.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
60.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
60.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
59.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
59.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
59.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
59.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
59.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
59.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
59.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
59.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
59.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
59.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
59.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
58.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
58.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
58.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
58.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
58.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
58.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
58.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
58.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
58.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
58.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
57.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
57.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
57.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
57.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
57.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
57.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
57.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
57.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
57.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
57.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
57.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
57.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
57.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
57.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
57.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
56.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
56.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
56.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
56.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
56.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
56.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
56.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
56.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
56.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
56.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
56.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
56.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
56.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
56.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
56.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
56.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
56.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
56.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
56.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
56.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
55.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
55.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
55.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
55.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
55.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
55.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
55.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
55.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
55.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
54.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
54.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
54.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
54.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
54.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
54.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
54.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
54.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
54.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
54.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
54.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
54.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
54.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
54.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
54.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
54.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
53.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
53.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
53.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
53.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
53.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
53.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
53.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
53.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
53.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
53.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
53.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
53.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
53.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
52.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
52.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
52.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
52.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
52.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
51.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
51.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
51.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
51.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
51.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
51.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
51.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
51.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
51.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
51.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
50.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
50.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
50.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
50.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
50.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
50.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
50.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
49.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
49.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
49.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
49.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
49.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
49.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
49.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
49.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
49.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
48.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
48.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
48.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
48.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
47.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
47.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
47.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
47.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
47.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
46.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
46.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
46.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
46.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
46.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
46.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
46.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
46.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
46.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
45.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
45.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
45.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
45.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
45.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
45.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
45.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
45.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
45.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
45.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
45.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
45.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
45.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
44.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
44.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
44.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
44.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
44.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
44.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
44.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
43.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
43.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
43.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
43.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
43.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
42.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
42.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
42.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
42.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
41.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
41.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
41.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
41.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
40.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
40.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
40.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
40.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
40.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
38.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
38.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
38.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
35.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
35.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
34.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
34.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
32.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
31.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
31.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
28.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
27.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
COPA 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
68.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
142.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
131.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
125.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
110.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
102.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
99.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
99.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
98.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
95.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
95.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
89.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
89.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
89.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
88.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
87.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
87.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
87.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
84.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
79.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
78.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
78.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
78.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
78.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
77.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
77.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
75.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
73.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
71.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
71.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
70.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
70.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
69.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
69.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
69.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
69.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
68.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
68.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
68.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
67.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
67.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
66.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
66.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
66.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
65.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
65.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
65.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
64.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
63.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
63.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
63.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
63.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
62.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
62.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
62.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
61.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
61.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
60.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
59.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
59.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
59.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
58.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
58.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
58.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
58.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
57.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
57.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
56.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
56.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
56.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
55.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
55.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
54.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
54.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
52.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
51.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
50.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
48.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
48.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
48.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
48.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
46.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
44.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
43.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
42.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
38.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
35.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
34.3
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.
COPA 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
59.9
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
118.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
114.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
109.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
108.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
102.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
102.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
94.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
91.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
90.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
88.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
84.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
83.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
81.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
81.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
81.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
80.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
80.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
79.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
79.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
78.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
78.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
78.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
77.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
76.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
75.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
75.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
75.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
75.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
75.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
75.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
74.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
74.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
74.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
71.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
71.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
71.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
70.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
70.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
70.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
70.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
69.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
69.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
69.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
69.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
69.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
69.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
68.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
68.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
68.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
68.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
68.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
67.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
67.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
67.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
67.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
66.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
66.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
66.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
66.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
65.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
65.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
65.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
65.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
64.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
64.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
64.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
64.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
64.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
63.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
63.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
63.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
63.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
63.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
63.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
63.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
63.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
63.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
63.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
63.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
62.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
62.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
62.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
61.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
61.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
61.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
61.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
61.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
61.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
60.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
60.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
60.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
60.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
60.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
60.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
59.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
59.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
59.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
59.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
59.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
59.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
59.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
59.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
59.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
58.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
58.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
58.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
58.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
57.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
57.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
57.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
57.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
57.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
57.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
56.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
56.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
56.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
56.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
56.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
56.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
56.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
56.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
56.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
55.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
55.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
55.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
55.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
55.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
55.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
55.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
54.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
54.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
54.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
53.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
53.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
53.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
53.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
53.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
52.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
52.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
52.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
52.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
52.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
51.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
51.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
51.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
51.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
51.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
50.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
50.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
50.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
50.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
50.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
50.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
49.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
49.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
49.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
49.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
49.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
49.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
48.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
48.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
48.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
48.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
47.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
47.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
47.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
47.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
47.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
47.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
47.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
46.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
46.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
46.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
46.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
46.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
46.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
46.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
46.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
46.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
45.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
45.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
45.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
45.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
44.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
43.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
43.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
43.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
43.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
42.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
41.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
40.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
39.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
39.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
38.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
38.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
37.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
37.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
37.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
37.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
35.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
35.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
35.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
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
