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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.
ACP1 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
80.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
164.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
153.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
148.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
144.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
142.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
138.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
130.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
130.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
130.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
129.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
127.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
127.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
125.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
124.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
122.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
119.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
119.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
115.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
114.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
114.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
114.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
113.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
113.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
112.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
112.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
111.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
109.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
109.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
109.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
109.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
107.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
105.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
104.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
103.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
102.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
102.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
102.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
101.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
101.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
101.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
101.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
101.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
100.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
100.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
100.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
100.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
99.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
99.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
98.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
98.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
96.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
96.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
96.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
96.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
95.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
95.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
94.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
94.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
93.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
93.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
92.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
92.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
92.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
92.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
91.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
91.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
91.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
91.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
91.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
90.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
90.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
90.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
89.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
88.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
88.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
88.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
88.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
88.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
88.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
87.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
87.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
87.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
86.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
86.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
86.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
86.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
86.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
85.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
85.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
85.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
84.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
84.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
84.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
84.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
83.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
83.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
82.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
82.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
82.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
82.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
82.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
81.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
81.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
81.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
81.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
81.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
81.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
81.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
80.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
80.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
80.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
80.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
80.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
80.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
80.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
80.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
79.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
79.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
79.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
79.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
79.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
78.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
78.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
78.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
78.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
77.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
77.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
77.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
77.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
76.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
76.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
75.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
75.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
75.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
75.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
75.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
75.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
75.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
75.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
74.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
74.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
74.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
73.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
73.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
72.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
72.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
72.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
72.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
72.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
72.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
71.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
71.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
71.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
71.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
71.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
70.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
70.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
70.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
70.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
70.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
70.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
70.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
69.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
69.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
69.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
69.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
69.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
69.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
69.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
69.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
68.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
68.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
68.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
68.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
68.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
67.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
67.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
67.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
67.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
66.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
66.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
66.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
66.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
66.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
66.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
66.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
66.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
65.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
65.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
65.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
65.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
64.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
64.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
64.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
64.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
63.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
63.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
63.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
63.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
63.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
63.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
63.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
63.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
63.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
62.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
62.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
62.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
62.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
62.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
62.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
62.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
61.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
61.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
61.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
60.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
60.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
60.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
60.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
60.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
60.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
60.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
60.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
59.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
59.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
59.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
59.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
59.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
59.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
58.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
58.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
58.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
58.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
58.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
57.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
57.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
56.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
55.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
55.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
55.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
54.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
53.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
53.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
52.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
51.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
51.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
50.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
48.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
47.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
46.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
45.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
40.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
37.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
35.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 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.
ACP1 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
52.7
Number of samples
486
Samples
Sample
Description
TPM
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
106.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
90.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
88.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
83.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
82.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
80.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
80.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
79.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
78.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
78.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
77.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
77.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
77.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
77.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
77.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
76.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
76.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
74.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
74.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
74.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
74.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
74.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
73.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
72.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
72.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
72.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
72.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
71.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
71.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
71.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
71.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
71.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
71.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
71.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
71.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
70.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
70.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
70.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
69.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
69.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
69.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
68.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
68.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
68.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
68.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
67.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
67.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
67.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
67.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
67.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
67.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
67.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
66.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
66.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
66.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
66.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
66.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
66.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
66.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
66.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
65.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
65.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
65.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
65.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
65.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
65.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
64.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
64.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
64.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
64.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
64.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
64.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
64.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
64.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
63.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
63.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
63.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
63.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
63.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
63.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
62.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
62.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
62.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
62.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
62.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
62.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
62.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
62.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
61.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
61.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
61.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
61.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
61.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
61.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
61.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
61.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
61.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
61.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
61.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
61.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
61.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
61.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
61.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
61.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
61.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
60.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
60.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
60.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
60.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
60.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
60.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
60.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
60.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
60.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
60.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
60.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
60.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
59.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
59.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
59.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
59.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
59.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
59.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
59.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
59.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
59.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
59.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
59.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
59.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
59.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
59.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
59.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
59.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
59.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
58.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
58.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
58.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
58.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
58.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
58.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
58.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
58.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
58.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
58.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
57.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
57.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
57.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
57.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
57.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
57.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
57.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
57.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
57.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
57.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
57.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
57.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
56.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
56.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
56.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
56.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
56.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
56.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
56.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
56.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
56.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
56.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
56.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
56.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
55.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
55.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
55.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
55.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
55.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
55.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
55.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
55.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
55.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
55.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
55.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
55.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
55.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
55.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
55.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
55.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
55.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
55.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
55.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
55.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
55.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
54.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
54.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
54.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
54.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
54.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
54.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
54.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
54.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
54.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
54.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
54.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
54.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
54.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
54.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
54.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
54.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
54.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
54.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
54.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
54.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
54.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
54.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
54.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
53.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
53.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
53.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
53.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
53.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
53.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
53.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
53.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
53.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
53.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
53.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
53.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
53.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
53.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
53.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
53.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
53.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
53.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
53.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
53.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
53.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
52.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
52.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
52.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
52.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
52.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
52.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
52.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
52.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
52.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
52.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
52.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
52.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
52.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
51.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
51.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
51.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
51.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
51.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
51.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
51.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
51.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
51.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
51.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
51.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
51.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
51.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
51.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
51.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
51.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
51.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
51.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
51.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
51.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
51.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
51.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
51.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
51.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
51.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
51.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
50.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
50.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
50.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
50.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
50.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
50.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
50.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
50.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
50.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
49.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
49.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
49.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
49.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
49.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
49.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
49.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
49.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
49.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
49.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
49.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
49.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
49.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
49.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
49.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
49.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
49.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
49.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
49.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
49.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
49.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
48.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
48.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
48.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
48.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
48.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
48.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
48.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
48.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
48.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
48.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
48.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
48.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
48.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
48.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
48.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
48.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
48.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
47.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
47.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
47.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
47.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
47.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
47.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
47.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
47.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
47.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
47.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
47.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
47.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
47.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
47.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
47.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
47.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
46.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
46.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
46.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
46.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
46.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
46.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
46.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
46.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
46.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
46.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
46.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
45.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
45.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
45.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
45.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
45.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
45.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
45.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
45.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
45.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
45.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
45.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
44.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
44.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
44.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
44.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
44.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
44.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
44.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
44.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
44.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
44.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
44.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
44.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
44.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
44.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
44.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
44.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
44.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
43.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
43.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
43.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
43.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
43.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
43.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
43.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
43.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
43.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
43.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
43.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
43.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
43.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
42.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
42.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
42.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
42.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
42.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
42.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
42.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
42.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
42.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
42.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
42.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
42.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
42.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
41.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
41.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
41.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
41.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
41.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
41.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
41.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
41.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
40.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
40.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
40.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
40.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
40.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
40.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
40.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
40.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
40.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
40.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
40.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
40.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
40.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
39.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
39.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
39.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
39.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
39.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
39.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
39.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
38.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
38.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
38.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
38.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
38.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
38.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
38.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
37.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
37.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
37.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
37.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
37.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
37.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
37.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
37.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
37.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
36.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
36.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
36.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
36.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
36.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
36.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
36.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
36.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
36.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
35.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
35.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
34.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
34.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
34.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
34.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
34.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
33.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
33.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
32.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
32.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
32.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
31.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
31.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
30.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
29.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
29.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
28.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
25.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
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.
ACP1 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
84.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
162.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
144.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
133.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
133.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
133.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
132.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
128.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
128.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
122.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
120.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
119.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
116.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
112.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
110.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
109.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
108.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
105.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
104.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
103.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
102.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
101.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
101.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
101.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
98.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
95.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
94.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
93.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
93.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
91.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
90.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
90.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
89.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
89.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
89.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
89.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
89.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
86.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
85.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
85.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
83.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
82.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
82.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
81.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
80.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
80.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
80.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
79.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
78.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
78.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
77.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
77.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
77.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
77.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
76.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
76.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
75.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
73.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
73.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
73.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
72.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
72.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
71.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
71.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
70.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
69.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
68.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
68.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
68.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
67.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
66.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
64.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
62.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
62.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
60.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
60.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
60.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
59.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
58.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
57.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
56.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
54.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
49.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
48.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
45.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
44.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
42.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
41.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ACP1 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
49.4
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
93.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
79.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
78.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
77.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
77.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
77.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
75.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
75.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
73.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
72.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
72.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
71.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
70.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
68.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
68.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
67.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
66.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
66.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
65.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
65.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
64.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
64.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
63.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
63.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
62.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
62.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
62.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
60.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
60.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
60.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
60.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
60.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
59.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
59.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
59.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
58.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
58.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
58.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
58.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
58.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
58.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
57.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
57.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
57.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
57.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
56.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
56.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
56.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
56.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
56.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
56.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
55.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
55.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
54.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
54.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
54.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
54.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
54.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
54.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
54.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
54.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
54.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
53.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
53.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
53.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
53.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
53.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
53.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
53.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
53.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
53.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
52.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
52.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
52.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
52.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
52.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
51.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
51.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
51.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
51.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
51.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
51.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
51.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
51.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
51.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
50.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
50.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
50.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
50.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
50.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
50.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
49.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
49.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
49.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
49.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
49.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
49.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
49.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
49.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
49.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
48.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
48.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
48.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
48.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
48.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
48.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
48.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
48.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
48.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
47.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
47.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
47.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
47.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
47.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
47.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
47.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
47.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
47.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
46.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
46.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
46.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
46.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
46.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
46.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
46.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
45.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
45.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
45.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
45.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
45.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
45.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
45.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
44.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
44.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
44.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
44.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
44.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
44.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
43.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
43.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
43.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
43.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
43.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
43.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
43.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
42.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
42.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
42.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
42.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
42.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
42.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
42.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
42.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
41.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
41.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
41.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
41.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
40.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
40.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
40.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
40.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
40.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
40.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
40.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
40.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
40.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
40.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
39.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
39.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
39.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
39.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
39.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
39.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
38.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
38.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
38.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
38.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
37.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
37.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
37.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
36.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
36.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
36.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
35.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
35.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
35.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
34.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
34.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
34.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
34.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
34.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
33.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
33.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
33.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
31.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
30.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
30.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
29.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
28.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
28.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
25.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
24.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.8
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.9
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.3
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
