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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.
APEH 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
65.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
151.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
134.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
132.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
120.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
114.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
112.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
110.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
110.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
109.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
108.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
107.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
106.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
105.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
105.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
104.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
103.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
102.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
102.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
100.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
98.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
98.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
98.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
97.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
97.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
96.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
95.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
95.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
95.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
95.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
94.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
93.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
93.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
93.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
93.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
92.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
91.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
91.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
91.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
91.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
91.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
90.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
90.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
89.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
89.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
88.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
88.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
88.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
88.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
87.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
86.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
85.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
85.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
83.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
82.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
82.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
80.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
80.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
80.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
80.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
79.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
79.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
79.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
78.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
78.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
78.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
78.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
77.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
76.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
76.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
76.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
75.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
75.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
75.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
74.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
74.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
73.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
73.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
73.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
73.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
72.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
72.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
72.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
72.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
71.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
71.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
71.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
71.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
71.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
71.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
71.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
71.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
70.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
70.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
70.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
69.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
69.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
69.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
69.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
69.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
69.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
69.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
68.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
68.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
68.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
68.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
68.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
68.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
68.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
68.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
68.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
67.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
67.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
67.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
66.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
66.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
65.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
65.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
65.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
65.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
65.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
64.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
64.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
64.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
64.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
64.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
64.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
64.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
63.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
63.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
63.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
63.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
62.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
62.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
61.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
61.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
61.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
61.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
60.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
60.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
60.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
60.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
60.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
60.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
58.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
58.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
58.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
57.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
57.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
57.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
57.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
57.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
56.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
56.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
56.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
56.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
56.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
56.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
56.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
55.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
55.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
55.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
55.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
55.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
55.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
55.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
54.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
54.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
54.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
54.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
54.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
54.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
54.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
53.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
53.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
53.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
53.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
53.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
53.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
52.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
52.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
52.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
52.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
52.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
51.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
51.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
51.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
51.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
51.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
50.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
50.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
50.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
49.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
49.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
49.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
49.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
49.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
48.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
48.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
47.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
47.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
47.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
47.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
47.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
47.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
46.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
46.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
46.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
46.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
45.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
45.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
45.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
45.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
44.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
44.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
44.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
44.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
43.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
43.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
43.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
42.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
42.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
41.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
41.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
41.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
41.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
40.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
40.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
40.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
40.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
39.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
38.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
38.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
37.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
37.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
37.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
34.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
34.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
33.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
33.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
33.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
33.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
33.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
33.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
32.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
32.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
31.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
31.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
29.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
29.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
29.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
28.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
27.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
26.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
APEH 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
63.2
Number of samples
486
Samples
Sample
Description
TPM
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
121.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
119.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
117.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
113.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
110.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
109.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
105.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
105.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
104.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
103.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
102.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
100.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
100.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
100.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
100.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
99.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
97.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
97.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
97.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
95.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
95.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
95.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
95.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
94.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
93.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
93.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
92.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
91.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
91.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
90.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
90.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
90.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
89.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
89.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
88.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
88.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
88.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
88.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
88.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
87.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
87.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
86.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
86.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
86.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
86.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
85.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
85.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
85.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
85.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
85.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
85.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
85.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
85.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
85.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
85.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
84.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
84.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
83.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
83.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
83.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
83.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
83.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
83.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
82.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
82.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
82.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
82.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
82.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
82.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
81.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
81.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
81.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
81.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
81.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
80.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
80.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
80.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
80.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
79.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
79.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
79.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
79.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
78.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
78.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
78.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
78.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
78.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
78.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
78.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
77.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
77.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
77.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
77.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
77.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
77.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
77.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
77.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
76.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
76.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
76.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
76.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
76.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
76.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
76.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
76.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
75.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
75.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
75.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
75.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
75.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
74.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
74.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
74.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
74.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
74.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
74.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
74.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
74.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
74.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
73.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
73.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
73.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
73.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
73.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
73.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
73.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
73.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
73.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
73.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
73.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
73.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
72.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
72.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
72.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
72.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
72.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
72.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
72.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
72.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
72.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
72.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
72.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
72.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
72.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
71.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
71.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
71.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
71.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
71.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
71.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
71.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
71.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
71.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
70.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
70.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
70.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
70.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
70.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
70.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
70.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
70.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
70.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
70.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
70.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
70.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
70.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
70.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
70.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
70.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
70.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
69.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
69.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
69.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
69.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
69.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
69.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
69.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
69.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
69.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
69.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
68.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
68.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
68.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
68.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
68.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
68.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
68.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
68.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
68.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
68.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
68.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
68.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
67.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
67.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
67.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
67.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
67.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
67.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
67.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
67.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
67.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
66.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
66.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
66.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
66.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
66.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
66.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
65.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
65.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
65.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
65.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
65.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
65.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
65.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
65.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
65.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
65.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
65.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
65.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
65.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
64.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
64.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
64.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
64.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
64.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
64.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
64.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
64.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
64.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
64.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
64.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
64.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
64.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
63.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
63.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
63.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
63.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
63.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
63.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
63.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
63.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
63.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
63.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
63.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
63.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
62.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
62.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
62.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
62.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
62.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
62.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
62.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
62.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
62.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
62.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
62.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
62.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
61.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
61.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
61.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
61.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
61.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
61.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
61.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
61.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
61.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
61.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
61.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
61.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
61.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
60.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
60.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
60.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
60.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
60.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
60.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
60.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
60.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
59.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
59.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
59.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
59.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
59.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
59.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
59.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
58.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
58.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
58.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
58.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
58.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
58.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
58.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
58.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
57.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
57.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
57.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
57.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
57.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
57.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
57.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
57.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
57.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
57.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
57.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
57.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
56.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
56.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
56.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
56.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
56.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
56.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
56.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
56.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
55.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
55.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
55.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
55.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
55.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
55.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
55.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
55.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
55.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
55.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
55.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
55.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
54.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
54.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
54.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
54.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
54.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
54.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
54.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
53.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
53.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
53.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
53.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
53.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
53.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
53.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
53.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
53.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
53.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
53.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
53.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
53.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
52.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
52.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
52.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
52.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
52.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
52.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
52.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
52.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
52.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
52.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
51.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
51.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
51.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
51.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
51.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
51.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
50.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
50.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
50.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
50.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
50.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
49.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
49.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
49.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
49.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
49.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
49.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
49.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
49.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
49.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
48.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
48.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
48.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
48.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
48.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
48.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
48.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
48.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
48.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
48.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
48.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
48.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
48.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
48.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
47.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
47.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
47.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
47.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
47.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
47.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
46.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
46.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
46.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
46.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
46.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
46.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
46.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
46.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
46.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
46.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
46.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
46.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
45.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
45.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
45.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
45.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
45.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
45.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
44.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
44.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
44.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
44.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
44.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
44.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
44.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
44.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
43.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
43.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
43.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
43.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
43.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
43.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
43.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
42.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
42.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
42.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
42.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
42.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
41.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
41.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
41.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
41.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
41.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
41.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
41.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
41.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
40.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
40.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
40.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
40.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
40.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
40.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
40.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
39.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
39.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
39.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
39.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
39.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
38.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
38.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
38.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
38.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
38.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
38.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
37.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
37.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
36.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
36.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
36.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
35.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
34.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
34.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
34.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
33.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
33.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
32.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
32.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
32.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
28.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
26.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
23.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
16.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
4.7
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.
APEH 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
62.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
113.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
102.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
101.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
97.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
97.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
97.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
96.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
95.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
95.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
93.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
93.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
92.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
87.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
85.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
84.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
82.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
80.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
79.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
79.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
78.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
77.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
76.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
76.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
75.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
75.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
74.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
72.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
72.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
71.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
70.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
70.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
68.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
67.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
67.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
67.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
67.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
65.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
64.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
64.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
63.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
63.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
62.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
62.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
62.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
62.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
61.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
59.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
59.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
58.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
57.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
57.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
57.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
57.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
57.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
57.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
56.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
56.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
56.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
56.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
56.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
55.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
55.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
54.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
52.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
51.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
50.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
49.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
49.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
48.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
48.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
45.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
43.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
43.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
42.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
42.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
41.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
40.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
39.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
34.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
32.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
26.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
25.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
22.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
18.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
17.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
14.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
12.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
APEH 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
55.6
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
187.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
103.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
101.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
97.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
93.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
92.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
87.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
86.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
84.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
81.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
79.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
79.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
79.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
78.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
77.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
77.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
76.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
75.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
75.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
75.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
75.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
74.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
74.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
73.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
72.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
72.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
72.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
72.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
72.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
71.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
71.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
71.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
70.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
70.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
69.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
69.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
68.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
68.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
68.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
68.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
68.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
67.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
67.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
67.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
67.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
67.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
67.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
65.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
64.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
64.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
64.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
64.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
64.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
64.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
64.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
64.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
64.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
64.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
63.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
63.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
63.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
63.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
62.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
62.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
62.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
61.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
61.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
61.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
61.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
61.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
60.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
60.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
60.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
60.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
60.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
60.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
59.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
59.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
59.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
59.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
58.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
58.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
58.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
58.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
57.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
57.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
57.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
57.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
57.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
57.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
56.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
56.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
56.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
56.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
56.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
55.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
55.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
55.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
55.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
55.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
54.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
54.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
54.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
54.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
54.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
53.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
53.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
53.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
53.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
53.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
53.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
53.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
52.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
52.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
51.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
51.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
51.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
51.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
51.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
51.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
51.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
51.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
51.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
51.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
51.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
50.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
50.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
50.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
50.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
50.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
50.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
49.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
49.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
49.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
49.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
49.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
48.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
48.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
48.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
48.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
48.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
48.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
48.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
48.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
47.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
47.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
47.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
46.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
46.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
46.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
46.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
45.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
45.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
45.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
45.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
45.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
44.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
44.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
44.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
43.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
43.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
43.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
42.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
42.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
41.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
41.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
41.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
41.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
40.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
40.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
39.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
39.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
39.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
38.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
38.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
38.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
37.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
37.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
37.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
36.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
36.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
36.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
35.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
35.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
34.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
34.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
33.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
33.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
32.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
32.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
32.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
32.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
31.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
30.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
30.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
29.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
29.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
28.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
26.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
26.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
17.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
2.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.8
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
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Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
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Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
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Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
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Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
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Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
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Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
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Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
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Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.8
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
