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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.
RAB11B 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
82.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
146.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
142.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
136.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
134.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
133.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
132.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
131.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
129.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
127.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
126.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
125.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
125.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
122.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
122.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
121.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
120.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
119.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
117.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
117.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
116.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
115.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
114.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
114.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
113.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
112.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
112.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
112.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
111.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
111.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
110.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
110.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
109.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
108.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
107.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
107.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
107.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
105.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
105.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
104.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
102.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
102.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
102.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
102.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
102.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
101.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
101.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
101.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
101.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
101.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
101.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
100.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
100.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
99.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
99.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
99.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
98.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
98.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
98.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
98.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
97.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
97.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
97.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
96.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
96.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
95.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
95.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
95.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
94.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
93.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
93.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
93.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
93.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
93.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
92.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
92.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
92.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
92.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
92.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
92.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
91.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
91.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
91.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
91.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
90.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
90.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
90.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
90.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
89.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
88.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
88.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
88.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
88.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
88.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
88.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
88.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
88.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
88.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
87.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
87.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
87.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
86.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
86.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
86.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
86.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
86.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
86.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
85.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
85.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
85.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
85.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
85.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
84.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
84.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
84.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
84.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
84.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
83.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
83.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
83.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
83.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
82.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
82.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
82.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
82.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
82.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
82.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
82.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
82.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
81.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
81.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
80.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
80.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
80.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
79.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
79.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
79.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
79.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
78.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
78.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
78.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
77.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
77.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
77.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
77.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
77.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
77.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
77.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
76.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
76.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
76.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
76.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
76.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
76.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
76.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
75.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
75.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
75.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
74.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
74.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
74.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
74.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
73.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
73.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
73.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
72.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
72.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
72.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
72.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
72.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
71.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
71.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
71.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
71.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
71.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
71.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
71.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
71.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
70.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
69.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
69.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
69.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
69.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
69.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
69.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
69.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
68.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
67.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
67.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
66.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
66.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
66.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
65.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
65.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
65.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
65.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
65.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
64.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
64.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
64.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
63.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
63.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
63.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
63.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
63.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
63.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
62.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
62.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
62.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
62.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
61.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
61.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
61.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
60.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
60.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
60.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
60.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
60.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
60.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
59.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
59.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
58.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
57.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
56.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
56.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
56.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
56.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
56.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
55.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
55.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
55.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
55.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
55.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
54.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
54.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
53.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
53.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
53.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
53.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
52.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
51.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
49.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
48.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
47.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
44.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
42.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
42.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
40.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
33.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
31.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
31.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
28.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
24.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
11.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
RAB11B 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
84.5
Number of samples
486
Samples
Sample
Description
TPM
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
173.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
161.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
130.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
129.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
128.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
127.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
127.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
125.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
125.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
123.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
122.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
120.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
119.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
119.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
119.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
118.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
117.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
115.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
113.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
113.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
112.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
111.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
111.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
111.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
111.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
110.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
110.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
110.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
109.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
109.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
109.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
108.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
108.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
108.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
106.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
106.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
105.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
105.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
105.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
105.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
105.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
105.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
105.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
104.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
104.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
104.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
104.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
104.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
104.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
104.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
103.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
103.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
103.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
103.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
102.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
102.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
102.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
102.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
101.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
101.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
101.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
101.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
101.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
101.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
101.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
100.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
100.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
100.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
100.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
100.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
100.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
100.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
100.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
100.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
100.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
99.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
99.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
99.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
99.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
99.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
99.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
98.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
98.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
98.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
98.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
98.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
98.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
98.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
98.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
98.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
98.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
98.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
97.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
97.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
97.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
97.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
97.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
97.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
97.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
97.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
97.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
96.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
96.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
96.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
96.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
96.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
96.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
96.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
96.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
95.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
95.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
95.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
95.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
95.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
95.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
95.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
95.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
95.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
95.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
94.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
94.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
94.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
94.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
94.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
94.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
94.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
93.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
93.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
93.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
93.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
93.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
93.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
93.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
92.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
92.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
92.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
92.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
92.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
92.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
92.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
92.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
92.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
92.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
91.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
91.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
91.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
91.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
91.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
91.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
91.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
91.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
91.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
91.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
91.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
91.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
91.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
91.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
91.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
91.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
91.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
90.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
90.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
90.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
90.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
90.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
90.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
90.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
90.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
90.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
90.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
89.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
89.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
89.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
89.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
89.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
89.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
89.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
89.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
89.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
89.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
89.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
89.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
89.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
89.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
88.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
88.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
88.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
88.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
88.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
88.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
88.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
88.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
87.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
87.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
87.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
87.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
87.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
87.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
87.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
87.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
87.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
87.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
87.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
87.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
87.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
87.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
87.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
87.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
87.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
86.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
86.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
86.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
86.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
86.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
86.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
86.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
86.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
85.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
85.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
85.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
85.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
85.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
85.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
85.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
85.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
85.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
85.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
84.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
84.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
84.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
84.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
84.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
84.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
84.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
84.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
84.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
84.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
83.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
83.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
83.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
83.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
83.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
83.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
83.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
83.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
83.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
83.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
82.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
82.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
82.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
82.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
82.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
82.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
82.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
82.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
82.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
82.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
82.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
82.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
82.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
81.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
81.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
81.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
81.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
81.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
81.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
81.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
81.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
81.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
81.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
81.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
81.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
81.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
81.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
81.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
81.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
80.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
80.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
80.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
80.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
80.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
80.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
80.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
80.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
80.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
80.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
80.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
79.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
79.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
79.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
79.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
79.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
79.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
79.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
79.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
79.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
79.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
79.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
79.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
79.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
78.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
78.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
78.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
78.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
78.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
78.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
78.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
78.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
78.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
78.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
78.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
78.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
78.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
78.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
77.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
77.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
77.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
77.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
77.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
77.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
77.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
77.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
77.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
77.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
77.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
77.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
77.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
76.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
76.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
76.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
76.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
76.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
76.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
76.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
76.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
76.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
75.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
75.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
75.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
75.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
75.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
75.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
75.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
75.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
75.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
75.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
75.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
75.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
75.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
75.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
75.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
75.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
75.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
75.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
74.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
74.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
74.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
74.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
74.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
74.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
74.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
74.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
74.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
74.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
74.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
74.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
74.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
74.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
74.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
74.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
74.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
74.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
73.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
73.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
73.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
73.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
72.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
72.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
72.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
72.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
72.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
72.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
72.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
72.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
72.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
72.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
71.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
71.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
71.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
71.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
71.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
71.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
71.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
71.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
71.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
71.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
71.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
70.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
70.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
70.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
70.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
70.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
70.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
70.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
70.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
69.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
69.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
69.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
69.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
69.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
69.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
69.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
69.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
69.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
69.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
68.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
68.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
68.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
68.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
68.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
68.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
68.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
67.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
67.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
67.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
67.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
67.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
67.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
67.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
67.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
66.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
66.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
66.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
66.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
66.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
66.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
65.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
65.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
65.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
65.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
65.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
65.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
65.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
64.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
64.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
64.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
64.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
64.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
64.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
63.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
63.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
63.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
62.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
62.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
62.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
62.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
62.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
62.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
61.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
60.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
60.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
60.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
60.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
60.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
60.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
59.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
59.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
58.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
58.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
58.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
57.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
57.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
56.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
56.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
56.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
56.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
55.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
53.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
52.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
52.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
51.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
50.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
50.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
45.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.5
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.
RAB11B 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
76.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
119.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
118.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
118.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
115.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
108.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
107.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
106.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
103.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
101.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
100.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
100.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
99.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
99.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
99.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
98.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
97.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
95.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
93.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
90.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
90.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
89.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
88.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
88.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
88.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
88.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
86.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
85.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
85.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
84.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
84.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
84.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
83.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
82.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
81.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
81.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
80.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
80.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
80.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
79.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
79.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
79.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
78.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
77.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
77.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
77.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
76.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
76.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
75.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
74.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
73.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
73.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
73.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
72.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
71.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
69.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
69.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
69.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
68.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
68.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
68.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
68.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
67.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
64.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
64.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
63.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
63.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
63.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
63.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
61.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
60.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
60.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
59.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
58.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
57.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
57.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
55.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
53.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
52.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
51.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
49.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
49.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
48.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
47.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
44.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
43.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
42.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
40.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RAB11B 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
81.5
Number of samples
207
Samples
Sample
Description
TPM
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
169.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
141.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
139.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
131.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
124.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
120.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
116.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
116.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
112.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
112.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
111.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
110.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
109.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
109.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
109.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
108.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
108.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
107.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
106.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
106.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
105.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
102.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
102.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
102.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
101.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
99.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
99.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
99.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
98.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
97.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
97.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
96.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
96.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
96.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
95.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
95.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
95.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
94.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
94.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
94.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
94.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
93.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
92.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
92.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
92.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
92.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
92.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
91.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
91.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
91.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
91.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
91.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
90.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
90.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
90.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
90.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
89.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
89.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
89.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
88.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
88.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
88.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
87.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
87.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
87.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
87.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
87.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
87.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
87.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
87.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
87.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
87.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
86.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
86.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
86.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
86.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
86.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
85.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
85.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
85.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
85.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
84.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
83.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
83.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
83.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
82.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
82.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
82.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
82.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
82.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
82.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
81.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
81.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
81.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
81.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
81.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
80.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
80.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
80.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
80.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
79.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
79.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
79.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
79.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
79.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
78.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
78.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
78.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
78.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
78.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
77.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
77.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
77.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
77.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
77.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
77.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
76.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
76.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
76.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
76.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
76.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
76.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
75.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
75.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
75.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
75.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
75.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
74.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
74.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
74.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
74.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
74.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
74.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
74.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
73.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
73.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
73.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
73.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
73.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
72.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
72.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
72.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
72.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
72.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
71.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
71.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
71.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
71.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
71.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
71.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
71.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
71.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
71.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
71.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
71.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
70.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
70.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
70.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
70.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
70.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
69.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
69.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
69.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
69.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
69.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
69.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
69.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
69.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
69.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
68.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
68.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
68.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
68.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
67.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
67.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
66.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
66.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
66.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
66.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
66.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
66.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
65.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
64.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
64.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
64.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
63.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
62.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
61.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
61.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
61.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
61.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
60.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
59.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
56.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
54.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
54.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
53.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
52.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
52.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
50.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
50.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
50.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
49.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
45.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
45.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
39.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
21.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.8
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
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Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
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Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
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Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
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Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
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Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
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Normal
0.1
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Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
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Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
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Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
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Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
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Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
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Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
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Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
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Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
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Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
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.
The Human Protein Atlas project is funded
