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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.
PEA15 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
61.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
184.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
164.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
157.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
153.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
152.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
151.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
137.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
131.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
130.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
117.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
115.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
112.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
111.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
110.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
107.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
106.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
105.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
104.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
104.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
104.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
103.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
102.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
101.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
100.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
98.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
97.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
92.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
88.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
88.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
86.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
86.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
85.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
85.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
84.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
84.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
84.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
84.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
84.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
84.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
84.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
83.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
83.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
83.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
82.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
82.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
81.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
81.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
80.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
80.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
80.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
78.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
78.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
77.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
77.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
76.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
76.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
76.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
76.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
75.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
75.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
75.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
75.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
74.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
73.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
73.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
72.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
72.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
72.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
72.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
71.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
71.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
71.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
71.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
71.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
70.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
69.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
69.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
69.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
69.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
68.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
68.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
68.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
67.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
67.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
67.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
67.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
66.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
66.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
66.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
66.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
65.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
65.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
65.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
65.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
64.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
64.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
64.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
64.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
64.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
64.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
64.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
63.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
63.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
63.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
63.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
63.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
62.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
62.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
62.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
62.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
61.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
61.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
60.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
60.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
60.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
59.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
58.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
58.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
58.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
58.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
58.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
58.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
57.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
57.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
57.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
57.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
57.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
57.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
57.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
56.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
56.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
56.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
56.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
56.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
56.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
56.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
55.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
55.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
55.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
54.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
54.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
54.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
54.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
53.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
53.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
53.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
53.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
51.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
51.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
51.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
51.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
50.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
50.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
50.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
50.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
50.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
50.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
49.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
49.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
49.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
48.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
48.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
48.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
48.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
47.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
47.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
47.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
47.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
46.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
46.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
46.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
46.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
46.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
46.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
45.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
45.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
45.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
45.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
44.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
44.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
44.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
44.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
43.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
43.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
43.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
42.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
42.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
42.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
42.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
42.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
41.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
41.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
41.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
41.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
41.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
41.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
41.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
40.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
39.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
39.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
39.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
39.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
39.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
39.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
39.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
38.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
38.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
38.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
38.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
38.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
37.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
37.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
36.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
36.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
36.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
36.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
36.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
36.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
36.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
35.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
35.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
35.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
35.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
34.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
33.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
33.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
33.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
33.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
32.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
32.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
32.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
32.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
31.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
31.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
31.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
31.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
31.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
30.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
30.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
30.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
29.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
28.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
28.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
28.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
28.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
28.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
27.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
26.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
26.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
26.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
26.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
25.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
21.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 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.
PEA15 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
82.2
Number of samples
486
Samples
Sample
Description
TPM
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
176.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
173.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
172.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
167.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
159.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
156.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
156.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
154.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
154.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
154.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
143.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
142.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
142.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
141.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
140.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
136.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
136.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
136.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
135.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
135.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
135.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
134.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
134.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
133.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
132.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
130.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
129.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
128.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
128.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
127.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
126.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
126.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
126.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
126.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
126.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
126.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
125.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
125.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
125.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
125.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
123.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
123.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
122.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
122.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
121.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
121.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
120.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
120.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
120.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
119.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
119.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
118.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
118.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
118.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
118.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
118.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
117.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
117.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
117.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
117.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
116.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
116.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
116.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
116.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
116.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
115.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
115.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
115.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
114.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
114.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
113.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
112.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
111.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
110.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
109.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
109.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
108.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
108.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
108.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
108.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
107.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
107.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
107.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
106.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
106.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
105.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
105.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
105.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
105.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
104.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
104.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
104.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
103.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
103.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
103.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
103.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
103.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
102.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
101.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
101.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
101.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
101.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
100.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
100.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
100.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
100.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
99.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
99.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
99.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
99.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
99.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
99.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
99.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
98.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
98.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
98.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
98.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
97.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
96.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
96.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
96.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
96.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
96.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
96.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
96.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
96.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
95.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
95.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
95.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
95.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
95.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
95.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
95.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
94.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
94.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
94.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
94.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
94.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
93.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
93.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
93.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
93.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
93.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
93.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
93.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
92.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
92.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
92.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
92.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
91.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
91.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
91.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
91.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
91.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
90.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
90.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
90.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
90.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
90.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
89.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
89.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
89.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
89.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
88.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
88.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
88.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
88.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
88.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
88.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
88.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
87.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
87.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
87.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
87.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
87.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
87.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
86.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
86.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
86.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
86.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
86.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
85.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
85.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
85.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
85.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
85.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
85.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
85.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
85.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
84.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
84.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
84.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
84.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
84.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
84.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
84.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
84.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
84.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
84.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
84.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
83.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
83.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
83.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
83.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
83.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
83.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
83.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
83.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
83.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
83.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
83.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
83.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
83.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
82.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
82.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
82.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
82.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
82.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
82.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
82.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
81.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
81.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
81.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
81.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
81.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
81.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
81.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
81.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
80.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
80.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
80.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
80.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
80.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
80.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
80.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
80.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
79.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
79.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
79.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
79.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
79.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
79.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
79.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
79.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
79.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
78.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
78.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
78.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
78.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
78.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
78.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
78.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
78.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
77.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
77.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
77.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
77.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
77.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
77.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
77.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
76.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
76.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
76.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
76.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
76.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
76.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
76.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
76.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
76.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
75.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
75.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
75.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
75.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
75.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
75.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
74.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
74.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
74.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
74.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
74.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
74.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
74.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
74.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
74.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
74.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
74.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
73.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
73.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
73.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
73.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
73.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
73.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
73.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
73.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
73.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
73.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
73.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
72.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
72.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
72.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
72.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
72.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
72.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
71.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
71.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
71.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
71.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
71.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
71.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
70.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
70.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
70.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
70.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
70.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
70.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
70.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
70.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
70.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
70.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
69.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
69.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
69.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
69.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
69.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
69.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
69.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
69.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
69.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
69.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
69.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
68.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
68.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
68.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
68.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
68.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
68.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
67.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
67.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
67.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
67.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
67.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
67.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
67.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
67.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
67.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
66.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
66.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
66.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
66.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
66.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
66.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
66.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
66.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
66.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
66.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
65.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
65.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
65.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
65.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
65.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
65.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
64.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
64.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
64.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
64.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
64.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
64.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
64.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
64.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
64.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
63.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
63.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
63.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
62.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
62.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
62.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
62.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
62.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
62.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
61.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
61.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
61.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
61.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
61.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
61.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
61.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
61.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
60.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
60.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
60.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
60.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
60.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
60.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
60.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
60.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
59.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
59.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
59.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
58.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
57.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
57.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
57.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
57.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
57.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
57.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
57.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
56.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
56.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
56.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
56.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
56.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
55.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
55.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
55.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
55.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
54.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
54.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
54.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
53.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
53.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
53.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
52.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
52.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
52.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
52.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
52.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
52.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
51.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
51.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
51.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
51.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
51.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
50.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
50.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
50.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
50.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
49.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
49.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
49.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
49.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
49.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
49.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
49.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
48.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
48.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
48.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
48.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
48.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
47.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
47.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
47.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
47.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
46.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
46.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
46.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
45.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
44.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
44.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
43.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
43.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
42.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
42.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
42.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
41.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
41.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
40.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
40.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
39.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
39.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
39.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
36.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
36.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
36.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
36.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
35.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
35.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
33.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
32.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
32.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
32.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
31.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
25.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PEA15 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
69.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
188.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
169.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
147.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
142.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
131.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
128.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
124.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
115.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
108.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
107.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
106.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
104.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
104.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
96.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
93.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
90.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
86.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
85.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
83.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
83.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
83.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
82.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
82.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
79.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
79.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
76.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
75.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
74.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
73.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
72.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
71.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
69.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
69.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
69.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
69.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
68.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
67.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
65.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
65.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
64.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
64.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
64.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
62.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
62.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
61.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
61.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
60.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
60.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
60.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
59.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
58.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
58.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
57.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
57.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
57.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
56.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
55.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
55.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
53.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
53.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
53.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
53.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
52.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
52.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
52.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
51.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
50.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
49.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
48.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
46.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
45.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
45.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
45.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
42.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
42.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
40.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
40.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
39.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
39.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
39.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
35.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
34.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
32.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
32.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
29.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
27.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
25.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 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.
PEA15 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
79.7
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
230.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
169.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
166.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
165.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
164.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
152.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
145.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
138.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
135.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
135.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
135.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
130.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
129.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
129.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
127.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
123.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
123.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
122.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
121.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
120.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
120.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
119.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
117.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
116.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
116.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
116.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
113.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
112.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
112.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
112.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
111.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
110.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
109.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
108.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
108.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
108.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
108.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
107.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
107.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
106.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
104.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
103.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
102.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
102.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
102.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
102.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
101.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
101.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
99.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
99.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
98.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
96.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
96.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
96.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
96.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
96.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
96.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
94.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
94.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
93.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
92.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
92.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
92.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
92.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
91.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
90.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
89.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
89.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
89.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
89.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
89.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
89.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
88.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
86.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
85.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
85.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
85.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
83.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
83.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
83.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
82.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
82.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
81.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
81.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
80.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
79.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
79.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
78.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
78.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
77.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
77.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
76.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
75.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
75.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
75.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
75.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
74.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
74.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
74.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
73.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
73.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
73.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
73.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
73.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
73.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
73.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
73.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
72.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
72.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
72.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
71.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
71.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
70.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
70.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
69.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
69.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
68.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
68.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
68.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
67.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
67.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
67.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
67.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
66.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
66.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
66.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
66.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
66.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
66.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
66.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
65.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
65.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
65.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
65.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
65.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
64.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
64.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
64.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
63.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
63.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
63.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
63.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
63.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
62.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
62.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
61.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
61.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
60.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
60.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
60.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
60.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
60.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
59.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
59.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
59.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
58.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
58.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
58.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
57.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
57.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
57.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
56.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
56.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
56.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
56.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
55.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
55.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
54.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
54.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
54.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
54.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
53.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
52.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
52.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
52.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
51.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
51.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
51.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
50.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
48.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
48.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
47.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
47.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
47.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
47.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
46.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
45.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
44.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
44.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
43.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
43.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
43.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
43.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
42.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
39.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
38.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
38.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
35.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
35.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
33.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
29.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
29.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
23.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
22.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.9
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.9
1c070992-647b-4173-a481-904c4d_D2
Normal
0.9
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.9
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.9
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.9
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.9
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.8
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.7
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.8
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.8
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.9
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.9
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.0
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.1
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
