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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.
M6PR 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
79.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
165.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
143.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
140.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
139.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
136.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
128.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
128.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
126.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
123.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
119.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
117.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
116.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
115.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
115.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
113.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
113.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
111.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
110.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
110.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
109.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
109.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
107.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
107.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
106.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
106.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
105.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
105.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
105.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
105.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
105.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
104.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
102.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
102.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
102.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
102.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
101.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
101.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
101.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
101.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
100.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
100.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
100.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
100.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
99.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
99.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
98.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
98.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
98.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
96.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
95.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
95.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
94.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
94.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
93.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
93.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
92.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
92.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
92.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
92.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
92.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
91.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
90.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
90.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
90.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
90.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
89.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
89.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
89.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
89.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
89.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
89.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
89.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
89.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
88.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
87.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
87.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
87.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
87.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
86.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
86.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
86.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
86.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
85.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
85.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
85.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
85.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
84.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
84.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
84.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
84.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
84.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
84.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
83.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
83.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
83.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
83.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
82.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
82.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
82.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
82.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
82.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
82.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
82.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
81.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
81.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
81.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
81.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
81.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
81.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
80.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
80.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
80.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
80.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
80.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
79.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
79.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
78.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
78.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
78.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
77.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
77.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
77.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
77.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
77.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
77.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
76.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
76.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
76.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
76.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
76.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
76.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
76.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
75.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
75.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
75.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
75.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
75.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
75.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
74.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
74.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
74.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
74.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
74.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
73.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
73.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
73.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
73.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
73.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
73.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
72.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
72.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
72.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
72.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
72.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
72.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
72.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
71.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
71.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
71.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
71.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
71.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
71.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
71.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
71.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
70.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
69.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
69.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
69.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
69.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
68.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
68.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
68.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
68.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
68.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
68.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
67.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
67.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
67.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
67.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
67.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
67.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
67.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
67.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
67.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
66.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
66.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
66.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
66.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
66.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
66.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
65.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
65.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
65.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
65.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
65.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
65.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
64.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
64.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
64.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
64.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
63.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
63.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
63.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
63.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
63.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
63.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
61.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
61.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
61.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
61.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
60.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
60.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
60.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
60.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
60.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
59.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
59.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
59.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
59.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
59.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
59.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
59.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
59.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
58.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
58.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
58.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
58.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
57.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
57.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
57.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
56.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
56.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
55.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
55.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
55.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
54.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
54.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
54.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
53.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
52.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
51.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
51.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
51.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
50.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
47.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
45.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
45.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
45.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
45.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
45.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
44.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
40.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
38.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 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.
M6PR 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
129.3
Number of samples
486
Samples
Sample
Description
TPM
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
388.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
335.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
263.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
247.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
234.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
230.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
228.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
228.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
217.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
215.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
212.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
210.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
208.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
206.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
206.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
202.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
202.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
198.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
197.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
197.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
196.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
193.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
186.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
185.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
185.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
180.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
180.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
180.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
180.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
180.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
179.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
178.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
177.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
177.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
177.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
177.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
176.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
175.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
175.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
175.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
174.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
174.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
174.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
173.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
173.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
172.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
172.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
171.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
171.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
170.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
169.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
169.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
168.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
168.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
168.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
167.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
166.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
165.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
164.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
163.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
163.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
163.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
163.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
161.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
160.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
158.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
158.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
158.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
157.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
157.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
157.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
155.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
155.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
155.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
155.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
155.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
154.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
154.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
153.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
153.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
153.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
153.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
153.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
153.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
153.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
152.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
152.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
151.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
151.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
151.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
150.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
149.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
149.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
149.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
149.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
149.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
149.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
148.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
148.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
148.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
148.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
148.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
148.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
148.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
147.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
147.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
147.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
147.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
147.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
146.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
146.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
146.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
146.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
146.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
145.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
145.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
145.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
144.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
144.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
144.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
144.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
144.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
144.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
144.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
144.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
144.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
144.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
143.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
143.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
143.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
143.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
143.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
143.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
143.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
142.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
142.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
141.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
141.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
141.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
140.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
140.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
140.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
140.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
140.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
140.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
139.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
139.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
139.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
139.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
139.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
139.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
139.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
139.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
138.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
138.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
138.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
138.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
138.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
138.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
137.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
137.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
137.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
137.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
137.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
137.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
137.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
137.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
137.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
137.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
137.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
136.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
136.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
136.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
136.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
136.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
136.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
135.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
135.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
135.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
134.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
134.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
134.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
134.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
133.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
133.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
133.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
133.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
132.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
132.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
132.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
132.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
132.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
132.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
131.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
131.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
131.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
130.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
130.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
129.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
129.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
129.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
129.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
129.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
129.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
129.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
129.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
128.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
128.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
128.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
128.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
128.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
128.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
128.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
128.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
128.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
128.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
128.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
127.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
127.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
127.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
127.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
127.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
127.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
127.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
126.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
126.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
126.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
126.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
126.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
126.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
126.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
126.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
126.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
126.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
126.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
126.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
126.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
126.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
125.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
125.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
124.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
124.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
124.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
124.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
124.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
124.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
124.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
124.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
124.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
124.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
124.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
123.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
123.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
123.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
123.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
123.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
123.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
123.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
122.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
122.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
122.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
122.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
122.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
122.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
122.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
122.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
122.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
121.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
121.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
121.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
121.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
121.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
121.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
121.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
121.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
121.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
120.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
120.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
120.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
120.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
120.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
120.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
120.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
119.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
119.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
119.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
119.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
119.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
119.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
119.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
118.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
118.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
118.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
117.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
117.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
117.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
117.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
117.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
117.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
117.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
116.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
116.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
116.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
116.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
116.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
116.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
116.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
116.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
115.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
115.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
115.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
115.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
115.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
115.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
115.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
114.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
114.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
114.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
114.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
114.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
114.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
114.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
114.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
114.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
114.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
113.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
113.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
113.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
113.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
113.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
113.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
113.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
112.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
112.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
112.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
112.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
112.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
112.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
112.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
112.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
111.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
111.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
111.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
111.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
110.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
110.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
110.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
109.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
109.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
109.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
109.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
109.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
109.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
109.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
109.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
109.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
109.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
108.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
108.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
108.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
108.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
108.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
108.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
108.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
107.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
107.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
107.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
107.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
107.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
107.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
106.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
106.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
106.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
106.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
106.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
106.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
106.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
106.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
106.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
106.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
106.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
105.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
105.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
105.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
105.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
105.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
105.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
105.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
105.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
104.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
104.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
104.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
104.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
103.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
103.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
103.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
103.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
103.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
103.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
102.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
102.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
102.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
102.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
102.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
102.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
102.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
101.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
101.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
101.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
101.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
100.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
100.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
100.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
100.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
100.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
100.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
99.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
99.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
99.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
99.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
99.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
99.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
98.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
98.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
98.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
97.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
97.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
97.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
97.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
97.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
97.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
96.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
96.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
95.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
95.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
94.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
94.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
94.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
94.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
93.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
93.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
93.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
92.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
92.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
92.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
92.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
92.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
92.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
92.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
91.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
91.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
91.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
90.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
90.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
90.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
90.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
90.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
89.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
88.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
88.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
88.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
88.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
88.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
87.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
86.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
86.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
86.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
85.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
84.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
83.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
83.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
82.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
80.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
80.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
80.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
78.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
77.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
75.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
75.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
74.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
68.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
65.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
56.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
55.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
M6PR 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
84.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
495.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
164.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
135.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
125.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
123.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
115.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
113.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
111.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
107.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
106.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
104.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
104.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
103.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
102.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
102.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
100.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
97.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
96.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
95.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
94.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
93.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
90.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
90.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
90.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
88.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
87.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
87.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
87.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
86.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
86.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
85.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
83.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
83.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
80.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
80.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
79.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
78.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
78.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
78.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
78.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
77.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
77.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
76.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
76.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
75.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
75.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
75.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
74.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
73.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
73.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
72.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
72.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
72.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
71.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
71.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
71.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
71.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
71.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
70.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
70.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
69.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
69.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
69.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
68.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
67.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
66.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
66.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
66.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
66.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
64.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
64.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
64.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
64.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
63.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
63.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
62.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
61.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
59.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
58.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
58.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
57.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
51.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
49.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
48.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
48.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
44.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
36.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 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.
M6PR 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
119.6
Number of samples
207
Samples
Sample
Description
TPM
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
328.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
225.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
204.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
203.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
202.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
202.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
196.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
192.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
191.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
182.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
178.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
175.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
172.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
171.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
169.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
168.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
165.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
163.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
163.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
162.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
162.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
160.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
159.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
157.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
157.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
156.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
152.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
149.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
149.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
149.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
149.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
149.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
149.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
147.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
147.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
146.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
146.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
145.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
144.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
144.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
143.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
141.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
141.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
140.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
140.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
139.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
138.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
137.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
137.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
136.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
136.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
136.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
135.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
135.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
133.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
133.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
133.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
133.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
133.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
132.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
131.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
131.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
130.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
130.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
130.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
129.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
129.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
127.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
127.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
126.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
126.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
125.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
124.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
124.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
124.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
124.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
124.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
124.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
124.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
123.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
123.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
123.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
123.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
122.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
121.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
121.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
120.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
119.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
119.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
118.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
118.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
118.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
118.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
118.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
117.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
117.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
117.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
117.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
116.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
115.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
115.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
114.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
114.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
114.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
114.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
113.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
113.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
113.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
113.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
113.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
113.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
112.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
112.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
112.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
112.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
111.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
111.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
110.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
110.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
110.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
110.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
110.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
110.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
109.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
109.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
109.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
107.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
107.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
107.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
106.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
105.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
105.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
105.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
105.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
104.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
104.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
104.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
103.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
103.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
102.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
102.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
102.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
101.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
101.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
101.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
101.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
100.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
100.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
99.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
99.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
99.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
98.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
98.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
98.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
96.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
96.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
95.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
95.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
95.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
95.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
95.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
95.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
94.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
94.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
94.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
94.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
93.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
93.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
93.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
93.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
92.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
92.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
91.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
91.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
91.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
91.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
88.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
88.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
87.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
86.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
86.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
85.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
85.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
84.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
84.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
84.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
84.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
83.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
82.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
81.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
81.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
81.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
81.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
80.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
79.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
79.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
79.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
78.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
77.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
76.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
74.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
69.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
69.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
60.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
57.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
40.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
26.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-4.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
