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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.
TBCB 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
78.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
182.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
151.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
151.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
148.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
145.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
143.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
141.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
140.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
140.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
129.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
129.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
126.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
117.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
117.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
114.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
114.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
111.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
111.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
110.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
109.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
108.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
107.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
107.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
106.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
106.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
106.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
105.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
105.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
104.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
103.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
102.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
101.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
100.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
100.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
99.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
99.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
99.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
99.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
99.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
99.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
98.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
96.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
95.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
95.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
94.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
94.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
94.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
94.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
93.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
93.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
93.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
93.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
92.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
92.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
92.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
91.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
91.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
91.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
90.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
90.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
90.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
90.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
89.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
89.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
88.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
87.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
87.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
86.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
86.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
86.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
86.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
85.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
85.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
85.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
84.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
84.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
84.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
84.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
84.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
83.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
83.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
83.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
82.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
82.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
82.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
82.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
82.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
81.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
81.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
81.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
81.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
81.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
80.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
80.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
80.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
80.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
80.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
80.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
80.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
80.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
79.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
79.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
79.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
79.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
79.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
79.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
79.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
79.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
79.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
78.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
77.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
77.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
77.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
77.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
77.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
77.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
77.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
76.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
76.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
76.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
76.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
76.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
76.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
75.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
75.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
75.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
75.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
75.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
75.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
75.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
75.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
75.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
74.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
74.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
74.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
74.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
74.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
74.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
73.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
73.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
73.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
73.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
73.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
73.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
73.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
73.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
72.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
72.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
72.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
71.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
71.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
71.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
71.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
70.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
70.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
70.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
70.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
70.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
70.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
69.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
69.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
69.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
69.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
69.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
69.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
69.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
68.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
68.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
68.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
68.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
68.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
68.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
68.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
68.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
68.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
67.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
67.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
67.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
67.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
67.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
67.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
67.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
66.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
66.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
66.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
66.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
66.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
66.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
66.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
65.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
65.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
65.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
65.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
65.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
64.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
64.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
64.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
63.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
63.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
63.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
62.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
62.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
62.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
62.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
62.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
62.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
61.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
61.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
61.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
61.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
61.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
61.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
61.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
60.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
60.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
60.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
60.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
60.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
60.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
59.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
59.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
58.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
58.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
58.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
58.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
57.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
57.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
57.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
55.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
55.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
55.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
55.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
54.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
54.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
53.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
53.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
53.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
50.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
50.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
50.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
48.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
47.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
47.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
45.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
45.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
45.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
44.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
44.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
42.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
42.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
40.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
39.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
39.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 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.
TBCB 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
68.4
Number of samples
486
Samples
Sample
Description
TPM
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
415.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
184.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
177.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
165.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
163.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
161.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
149.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
149.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
114.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
113.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
113.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
113.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
113.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
111.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
110.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
110.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
108.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
107.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
107.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
106.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
104.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
104.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
104.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
104.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
103.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
103.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
101.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
101.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
100.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
100.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
99.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
98.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
98.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
98.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
98.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
97.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
96.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
96.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
96.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
95.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
94.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
94.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
93.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
93.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
92.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
92.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
91.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
90.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
89.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
89.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
89.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
89.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
89.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
88.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
88.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
88.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
87.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
87.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
87.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
87.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
87.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
86.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
86.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
86.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
86.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
85.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
85.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
85.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
85.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
85.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
84.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
84.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
84.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
84.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
84.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
84.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
84.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
83.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
83.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
83.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
83.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
83.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
83.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
82.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
82.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
82.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
82.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
82.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
82.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
81.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
81.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
81.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
81.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
80.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
80.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
80.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
80.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
80.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
79.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
79.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
79.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
79.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
79.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
79.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
79.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
79.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
78.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
78.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
78.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
78.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
78.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
78.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
77.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
77.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
77.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
77.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
77.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
77.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
77.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
77.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
77.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
77.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
76.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
76.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
76.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
76.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
76.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
76.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
75.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
75.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
75.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
75.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
75.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
75.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
75.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
75.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
74.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
74.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
74.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
74.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
74.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
74.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
74.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
74.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
73.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
73.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
73.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
73.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
73.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
73.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
73.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
73.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
73.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
73.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
72.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
72.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
72.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
72.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
72.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
72.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
72.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
72.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
72.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
72.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
72.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
71.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
71.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
71.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
71.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
71.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
71.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
71.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
71.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
71.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
71.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
71.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
71.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
70.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
70.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
70.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
70.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
70.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
70.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
70.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
70.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
70.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
69.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
69.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
69.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
69.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
69.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
69.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
69.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
69.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
69.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
69.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
68.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
68.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
68.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
68.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
68.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
68.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
68.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
68.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
68.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
68.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
68.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
67.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
67.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
67.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
67.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
67.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
67.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
67.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
67.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
67.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
67.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
67.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
67.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
67.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
67.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
66.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
66.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
66.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
66.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
66.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
66.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
66.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
66.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
66.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
65.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
65.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
65.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
65.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
65.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
65.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
65.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
65.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
65.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
64.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
64.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
64.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
64.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
64.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
64.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
64.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
64.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
64.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
64.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
64.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
64.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
64.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
63.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
63.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
63.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
63.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
63.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
63.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
63.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
63.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
63.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
63.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
63.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
63.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
62.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
62.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
62.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
62.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
62.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
62.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
62.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
62.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
62.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
62.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
62.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
62.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
61.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
61.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
61.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
61.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
61.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
61.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
61.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
61.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
61.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
61.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
61.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
61.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
61.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
61.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
61.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
61.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
60.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
60.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
60.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
60.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
60.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
60.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
60.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
60.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
60.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
60.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
60.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
59.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
59.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
59.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
59.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
59.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
59.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
59.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
59.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
59.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
59.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
59.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
59.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
59.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
59.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
59.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
59.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
59.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
58.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
58.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
58.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
58.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
58.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
58.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
58.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
58.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
58.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
58.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
57.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
57.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
57.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
57.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
57.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
57.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
57.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
57.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
57.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
57.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
56.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
56.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
56.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
56.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
56.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
56.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
56.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
56.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
56.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
56.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
56.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
56.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
55.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
55.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
55.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
55.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
55.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
55.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
55.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
55.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
55.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
55.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
55.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
55.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
55.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
55.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
54.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
54.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
54.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
54.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
54.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
54.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
54.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
53.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
53.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
53.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
53.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
53.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
53.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
53.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
53.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
53.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
53.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
53.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
53.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
52.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
52.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
52.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
52.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
52.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
52.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
52.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
52.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
52.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
52.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
52.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
52.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
52.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
52.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
52.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
51.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
51.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
51.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
51.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
51.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
51.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
51.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
51.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
51.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
51.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
50.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
50.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
50.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
50.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
50.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
50.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
50.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
50.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
49.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
49.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
49.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
49.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
49.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
49.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
49.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
49.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
49.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
48.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
48.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
48.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
48.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
48.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
48.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
48.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
47.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
47.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
47.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
47.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
47.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
47.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
47.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
46.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
46.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
46.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
46.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
46.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
46.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
46.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
46.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
44.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
44.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
43.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
43.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
43.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
43.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
43.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
43.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
42.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
42.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
42.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
41.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
41.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
41.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
40.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
40.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
40.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
39.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
39.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
38.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
38.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
37.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
37.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
36.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
36.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
33.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
32.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
31.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
31.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
31.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
30.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TBCB 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
75.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
178.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
149.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
129.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
123.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
122.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
112.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
111.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
108.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
107.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
106.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
106.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
102.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
102.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
100.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
95.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
95.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
93.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
91.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
89.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
89.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
88.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
87.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
84.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
84.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
83.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
83.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
82.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
81.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
80.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
79.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
78.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
78.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
78.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
78.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
77.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
77.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
76.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
75.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
75.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
74.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
73.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
73.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
73.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
72.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
71.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
71.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
71.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
70.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
70.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
69.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
67.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
66.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
66.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
66.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
65.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
64.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
64.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
64.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
63.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
62.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
62.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
62.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
61.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
60.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
60.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
58.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
58.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
57.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
57.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
57.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
57.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
56.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
54.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
53.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
53.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
52.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
51.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
51.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
51.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
51.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
49.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
48.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
47.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
46.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TBCB 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
59.5
Number of samples
207
Samples
Sample
Description
TPM
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
188.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
142.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
125.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
123.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
116.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
105.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
103.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
96.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
96.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
94.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
93.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
93.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
89.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
89.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
88.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
87.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
86.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
86.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
82.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
80.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
79.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
79.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
77.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
77.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
77.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
75.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
75.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
75.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
74.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
73.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
73.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
73.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
73.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
72.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
71.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
70.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
70.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
70.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
70.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
69.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
68.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
68.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
68.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
67.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
67.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
67.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
66.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
66.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
66.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
66.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
66.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
65.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
65.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
65.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
65.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
65.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
64.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
64.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
64.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
64.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
63.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
63.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
63.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
63.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
63.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
62.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
62.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
62.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
61.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
61.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
61.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
61.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
61.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
61.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
61.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
61.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
60.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
60.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
60.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
59.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
59.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
59.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
59.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
59.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
59.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
58.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
58.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
58.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
58.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
58.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
58.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
57.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
57.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
57.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
57.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
57.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
57.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
57.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
57.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
57.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
56.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
56.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
56.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
56.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
56.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
56.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
56.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
56.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
56.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
55.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
55.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
55.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
54.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
54.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
54.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
54.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
53.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
53.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
53.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
52.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
52.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
52.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
52.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
51.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
51.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
51.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
51.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
51.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
51.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
51.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
51.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
50.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
50.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
50.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
50.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
49.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
49.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
49.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
49.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
49.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
49.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
49.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
49.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
49.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
49.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
49.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
48.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
48.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
48.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
48.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
48.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
47.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
47.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
47.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
47.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
47.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
47.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
47.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
46.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
46.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
46.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
46.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
46.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
46.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
46.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
45.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
45.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
45.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
45.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
44.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
44.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
44.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
44.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
44.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
44.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
44.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
44.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
44.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
43.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
43.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
43.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
43.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
42.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
42.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
42.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
42.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
42.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
42.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
41.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
41.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
39.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
38.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
38.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
37.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
37.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
37.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
36.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
36.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
35.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
35.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
34.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
23.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
23.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.9
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.9
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.7
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.7
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.7
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.7
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.6
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
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Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
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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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
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
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Normal
0.1
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Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
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Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
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Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
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Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
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Normal
0.0
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Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
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Tumor
-0.1
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Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
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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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
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Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_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
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
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Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.3
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Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
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Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.5
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Tumor
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.9
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
