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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.
ISCU 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
84.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
185.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
165.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
139.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
138.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
137.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
130.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
129.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
128.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
127.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
127.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
126.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
122.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
121.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
120.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
119.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
118.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
114.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
114.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
113.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
113.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
110.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
110.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
110.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
108.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
108.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
108.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
107.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
106.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
106.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
106.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
105.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
105.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
105.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
104.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
104.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
104.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
103.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
103.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
103.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
102.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
102.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
102.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
102.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
102.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
101.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
100.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
99.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
99.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
99.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
99.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
98.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
98.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
98.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
98.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
98.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
97.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
97.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
97.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
97.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
97.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
96.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
96.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
96.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
96.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
94.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
93.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
93.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
93.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
93.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
93.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
92.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
92.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
91.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
91.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
91.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
91.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
91.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
91.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
90.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
90.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
90.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
90.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
90.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
89.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
89.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
89.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
89.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
88.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
88.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
88.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
88.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
88.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
88.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
88.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
87.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
87.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
87.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
87.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
87.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
87.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
87.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
86.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
86.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
86.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
86.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
86.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
85.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
85.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
85.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
85.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
85.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
85.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
85.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
85.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
84.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
84.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
84.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
84.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
84.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
83.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
83.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
83.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
83.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
82.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
82.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
82.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
82.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
82.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
82.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
81.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
81.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
81.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
81.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
81.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
81.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
80.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
80.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
80.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
80.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
80.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
80.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
80.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
79.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
79.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
79.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
79.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
79.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
79.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
79.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
78.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
78.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
78.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
78.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
78.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
77.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
77.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
77.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
77.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
76.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
76.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
76.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
76.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
76.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
76.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
75.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
75.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
74.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
74.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
74.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
74.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
74.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
74.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
73.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
73.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
73.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
73.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
72.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
72.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
72.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
72.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
72.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
72.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
72.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
71.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
71.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
71.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
71.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
71.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
70.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
70.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
70.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
70.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
70.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
70.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
70.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
70.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
69.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
69.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
69.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
69.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
69.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
69.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
69.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
68.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
68.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
68.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
67.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
67.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
66.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
66.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
66.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
65.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
65.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
65.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
65.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
65.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
64.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
64.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
64.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
63.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
63.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
63.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
63.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
63.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
62.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
62.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
62.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
62.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
62.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
61.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
61.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
60.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
60.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
59.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
59.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
58.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
56.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
56.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
56.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
55.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
54.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
54.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
54.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
54.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
53.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
53.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
53.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
50.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
49.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
48.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
46.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
43.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
37.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 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.
ISCU 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
81.1
Number of samples
486
Samples
Sample
Description
TPM
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
177.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
164.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
150.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
143.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
139.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
133.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
131.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
129.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
126.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
125.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
124.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
120.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
120.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
120.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
119.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
117.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
117.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
115.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
115.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
115.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
114.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
112.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
112.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
112.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
110.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
109.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
109.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
109.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
109.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
108.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
108.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
108.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
107.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
106.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
106.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
106.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
106.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
105.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
105.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
105.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
105.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
104.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
104.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
104.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
104.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
104.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
103.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
103.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
103.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
102.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
102.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
102.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
101.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
101.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
100.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
100.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
100.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
100.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
100.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
99.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
99.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
99.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
99.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
99.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
98.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
98.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
98.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
98.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
98.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
98.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
98.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
98.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
98.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
98.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
98.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
97.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
97.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
97.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
97.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
97.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
97.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
96.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
96.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
96.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
96.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
96.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
95.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
95.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
95.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
95.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
95.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
95.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
95.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
94.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
94.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
94.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
94.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
94.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
94.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
94.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
94.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
94.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
94.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
93.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
93.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
93.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
93.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
93.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
92.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
92.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
92.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
92.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
92.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
92.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
92.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
92.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
92.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
92.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
91.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
91.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
91.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
91.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
91.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
91.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
91.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
91.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
91.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
91.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
91.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
91.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
91.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
91.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
91.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
90.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
90.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
89.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
89.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
89.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
89.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
89.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
89.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
89.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
88.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
88.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
88.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
88.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
88.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
88.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
88.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
87.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
87.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
87.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
87.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
87.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
87.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
87.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
86.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
86.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
86.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
86.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
86.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
86.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
86.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
86.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
86.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
86.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
86.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
86.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
85.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
85.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
85.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
85.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
85.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
85.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
85.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
85.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
85.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
85.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
85.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
85.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
85.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
85.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
85.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
84.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
84.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
84.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
84.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
84.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
84.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
84.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
83.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
83.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
83.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
83.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
83.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
83.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
83.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
83.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
83.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
83.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
83.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
83.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
83.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
82.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
82.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
82.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
82.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
82.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
82.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
82.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
82.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
82.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
82.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
82.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
82.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
82.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
82.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
81.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
81.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
81.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
81.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
81.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
81.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
81.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
81.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
81.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
80.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
80.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
80.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
80.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
80.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
80.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
80.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
80.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
80.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
79.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
79.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
79.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
79.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
79.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
79.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
79.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
79.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
79.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
79.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
79.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
79.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
79.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
79.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
78.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
78.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
78.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
78.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
78.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
78.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
78.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
78.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
78.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
78.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
78.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
78.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
78.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
78.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
78.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
78.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
77.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
77.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
77.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
77.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
77.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
77.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
77.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
77.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
77.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
77.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
77.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
76.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
76.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
76.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
76.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
76.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
76.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
76.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
76.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
76.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
76.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
76.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
76.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
76.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
76.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
76.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
76.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
76.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
75.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
75.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
75.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
75.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
75.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
75.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
75.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
75.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
75.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
75.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
75.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
75.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
75.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
75.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
75.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
75.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
75.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
74.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
74.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
74.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
74.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
74.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
74.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
74.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
74.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
74.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
73.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
73.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
73.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
73.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
73.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
73.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
73.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
73.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
73.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
73.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
73.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
73.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
73.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
73.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
73.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
73.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
73.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
73.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
72.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
72.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
72.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
72.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
72.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
72.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
72.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
72.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
72.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
71.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
71.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
71.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
71.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
70.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
70.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
70.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
70.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
70.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
70.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
70.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
70.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
70.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
70.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
70.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
70.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
69.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
69.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
69.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
69.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
69.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
69.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
69.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
68.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
68.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
68.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
68.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
68.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
68.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
68.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
68.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
68.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
68.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
67.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
67.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
67.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
67.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
67.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
67.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
67.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
67.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
67.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
67.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
66.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
66.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
66.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
66.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
66.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
66.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
66.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
66.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
66.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
66.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
66.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
65.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
65.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
65.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
65.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
65.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
65.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
65.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
65.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
65.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
64.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
64.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
64.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
64.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
64.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
64.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
64.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
64.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
64.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
64.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
63.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
63.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
63.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
63.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
63.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
63.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
62.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
62.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
62.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
62.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
62.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
62.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
62.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
61.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
61.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
61.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
61.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
61.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
61.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
60.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
60.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
60.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
59.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
59.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
59.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
59.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
58.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
58.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
58.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
57.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
57.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
57.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
57.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
57.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
56.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
56.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
56.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
56.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
56.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
55.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
55.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
55.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
55.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
54.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
54.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
54.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
53.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
53.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
53.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
52.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
52.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
52.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
51.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
51.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
51.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
49.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
49.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
47.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
46.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
46.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
44.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
42.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
41.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
35.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
27.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.6
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.
ISCU 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
82.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
175.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
135.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
129.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
121.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
114.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
107.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
106.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
105.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
103.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
102.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
100.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
99.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
99.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
99.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
96.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
94.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
94.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
93.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
93.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
91.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
90.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
90.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
90.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
89.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
89.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
89.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
88.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
88.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
87.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
86.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
86.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
86.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
85.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
85.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
85.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
84.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
84.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
84.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
84.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
83.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
83.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
82.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
82.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
81.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
81.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
80.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
80.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
80.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
79.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
79.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
79.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
79.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
78.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
78.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
77.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
76.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
75.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
75.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
75.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
75.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
73.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
73.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
71.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
71.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
71.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
71.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
71.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
71.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
70.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
69.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
69.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
69.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
68.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
68.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
67.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
66.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
66.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
63.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
61.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
60.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
59.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
59.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
58.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
56.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
52.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
44.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
40.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ISCU is potential prognostic, high expression is favorable 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
82.7
Number of samples
207
Samples
Sample
Description
TPM
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
193.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
180.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
158.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
158.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
142.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
142.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
141.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
139.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
137.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
135.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
135.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
134.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
132.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
132.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
129.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
129.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
127.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
125.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
123.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
122.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
122.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
120.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
118.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
117.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
116.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
113.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
113.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
111.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
111.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
111.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
108.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
108.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
106.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
106.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
106.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
106.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
103.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
101.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
101.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
101.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
101.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
101.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
101.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
100.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
99.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
98.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
97.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
97.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
96.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
96.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
96.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
94.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
93.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
93.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
93.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
92.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
92.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
92.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
92.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
92.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
91.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
91.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
90.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
90.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
90.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
89.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
89.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
88.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
88.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
88.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
88.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
88.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
88.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
87.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
87.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
86.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
86.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
86.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
86.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
86.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
85.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
85.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
85.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
84.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
84.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
84.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
84.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
83.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
83.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
82.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
82.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
81.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
81.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
81.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
81.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
81.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
80.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
80.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
80.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
80.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
80.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
79.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
78.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
78.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
78.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
77.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
77.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
77.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
77.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
77.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
76.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
76.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
76.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
75.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
75.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
74.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
74.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
74.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
73.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
73.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
73.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
73.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
73.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
73.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
72.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
71.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
71.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
70.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
70.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
70.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
70.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
69.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
69.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
69.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
69.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
68.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
67.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
67.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
67.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
67.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
67.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
66.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
66.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
66.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
65.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
65.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
65.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
64.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
64.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
63.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
63.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
63.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
63.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
63.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
63.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
62.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
62.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
62.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
62.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
62.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
62.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
62.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
62.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
61.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
61.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
61.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
61.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
60.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
59.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
59.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
59.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
59.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
59.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
58.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
57.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
57.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
57.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
57.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
57.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
56.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
56.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
56.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
55.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
55.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
55.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
54.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
54.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
54.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
54.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
54.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
53.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
53.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
52.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
51.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
51.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
51.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
51.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
51.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
51.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
50.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
49.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
48.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
45.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
41.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
40.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
34.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
2.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
1.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.9
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
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Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.6
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
