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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.
SBDS 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
95.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
323.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
198.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
194.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
179.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
178.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
177.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
177.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
167.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
165.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
160.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
158.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
157.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
156.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
154.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
151.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
151.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
149.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
147.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
146.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
146.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
144.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
141.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
139.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
139.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
137.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
136.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
136.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
135.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
133.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
130.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
129.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
129.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
127.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
127.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
126.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
125.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
124.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
124.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
123.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
123.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
123.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
122.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
122.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
121.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
120.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
120.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
119.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
118.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
117.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
117.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
116.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
116.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
115.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
115.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
114.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
114.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
113.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
113.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
113.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
113.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
112.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
112.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
111.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
110.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
110.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
110.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
110.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
109.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
109.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
108.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
108.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
108.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
107.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
106.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
106.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
106.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
106.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
105.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
105.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
104.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
104.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
103.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
103.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
103.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
102.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
102.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
102.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
101.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
100.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
100.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
100.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
100.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
99.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
99.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
99.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
99.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
98.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
98.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
98.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
97.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
97.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
97.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
97.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
97.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
96.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
96.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
95.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
95.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
95.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
95.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
95.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
94.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
94.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
94.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
93.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
93.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
93.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
93.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
93.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
93.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
92.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
92.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
92.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
92.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
92.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
92.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
91.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
91.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
91.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
91.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
90.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
90.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
89.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
89.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
89.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
88.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
88.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
88.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
87.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
87.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
86.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
85.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
85.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
85.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
84.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
84.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
84.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
84.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
83.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
83.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
83.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
82.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
82.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
82.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
82.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
82.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
81.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
81.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
81.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
80.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
80.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
80.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
80.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
80.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
79.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
79.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
79.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
79.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
79.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
79.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
78.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
78.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
78.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
78.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
78.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
77.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
77.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
76.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
76.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
76.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
76.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
76.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
76.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
76.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
76.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
75.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
75.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
75.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
75.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
75.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
75.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
74.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
74.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
74.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
74.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
74.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
74.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
74.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
73.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
73.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
73.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
73.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
73.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
72.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
72.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
72.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
72.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
72.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
71.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
71.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
71.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
70.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
70.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
70.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
70.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
70.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
70.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
70.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
69.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
68.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
68.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
63.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
63.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
63.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
62.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
61.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
60.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
60.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
60.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
59.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
58.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
58.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
57.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
56.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
56.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
55.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
55.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
55.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
55.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
54.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
54.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
53.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
53.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
51.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
51.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
50.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
48.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
47.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
46.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
46.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
45.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
43.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
42.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 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.
SBDS 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
91.1
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
278.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
178.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
177.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
173.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
168.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
166.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
163.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
162.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
157.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
154.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
153.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
152.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
151.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
150.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
149.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
148.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
146.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
144.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
143.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
143.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
141.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
141.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
140.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
139.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
138.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
137.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
136.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
135.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
134.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
134.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
133.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
132.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
132.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
131.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
130.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
130.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
129.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
126.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
126.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
124.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
124.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
124.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
124.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
123.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
123.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
122.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
122.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
121.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
121.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
121.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
120.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
119.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
119.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
119.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
118.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
118.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
118.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
117.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
117.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
117.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
117.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
116.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
115.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
115.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
115.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
114.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
114.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
114.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
114.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
113.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
113.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
113.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
113.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
113.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
113.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
112.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
112.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
112.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
112.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
111.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
111.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
110.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
110.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
110.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
110.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
110.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
109.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
109.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
108.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
108.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
108.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
108.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
108.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
108.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
107.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
107.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
107.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
107.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
107.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
107.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
106.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
106.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
106.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
106.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
106.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
106.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
106.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
106.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
105.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
105.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
105.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
105.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
105.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
105.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
105.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
105.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
105.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
105.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
105.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
104.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
104.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
104.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
104.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
104.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
104.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
104.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
104.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
103.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
103.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
103.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
103.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
102.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
102.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
102.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
102.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
101.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
101.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
101.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
101.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
101.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
101.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
100.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
100.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
100.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
100.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
100.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
100.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
100.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
100.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
99.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
99.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
99.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
99.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
99.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
99.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
98.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
98.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
98.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
98.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
98.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
98.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
97.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
97.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
97.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
97.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
97.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
96.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
96.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
96.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
96.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
96.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
96.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
96.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
96.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
96.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
95.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
95.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
95.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
94.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
94.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
94.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
94.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
94.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
94.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
93.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
93.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
93.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
93.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
93.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
93.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
93.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
93.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
93.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
93.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
93.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
93.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
93.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
92.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
92.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
92.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
92.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
92.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
92.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
92.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
92.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
92.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
92.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
92.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
92.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
92.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
91.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
91.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
91.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
91.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
91.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
91.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
91.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
91.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
91.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
91.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
91.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
91.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
91.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
90.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
90.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
90.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
90.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
90.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
90.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
90.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
90.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
89.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
89.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
89.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
89.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
89.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
89.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
89.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
89.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
88.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
88.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
88.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
88.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
88.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
88.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
88.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
88.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
88.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
88.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
88.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
88.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
87.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
87.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
87.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
87.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
87.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
87.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
87.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
87.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
87.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
87.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
87.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
87.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
87.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
87.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
86.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
86.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
86.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
86.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
86.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
86.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
86.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
86.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
86.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
86.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
86.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
86.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
86.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
86.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
85.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
85.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
85.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
85.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
85.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
85.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
85.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
85.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
85.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
85.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
85.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
84.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
84.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
84.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
83.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
83.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
83.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
83.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
83.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
83.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
83.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
83.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
83.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
82.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
82.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
82.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
82.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
82.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
82.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
82.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
82.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
82.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
82.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
82.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
81.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
81.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
81.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
81.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
80.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
80.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
80.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
80.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
80.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
80.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
79.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
79.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
79.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
79.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
79.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
79.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
79.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
79.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
79.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
79.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
79.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
78.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
78.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
78.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
78.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
78.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
78.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
78.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
78.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
78.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
78.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
78.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
77.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
77.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
77.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
76.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
76.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
76.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
76.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
76.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
75.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
75.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
75.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
75.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
75.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
75.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
74.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
74.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
74.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
74.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
73.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
73.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
73.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
73.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
73.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
73.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
73.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
73.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
73.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
72.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
72.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
72.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
72.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
72.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
72.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
72.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
72.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
72.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
72.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
72.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
71.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
71.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
71.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
71.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
71.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
71.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
71.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
71.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
71.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
71.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
70.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
70.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
70.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
70.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
70.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
70.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
70.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
69.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
69.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
69.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
69.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
69.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
69.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
69.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
69.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
69.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
68.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
68.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
67.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
67.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
67.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
67.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
67.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
67.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
67.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
67.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
66.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
66.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
66.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
66.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
66.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
66.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
66.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
66.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
65.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
65.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
65.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
64.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
64.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
64.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
63.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
63.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
63.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
62.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
62.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
62.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
61.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
61.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
61.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
61.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
60.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
60.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
60.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
60.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
58.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
58.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
58.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
58.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
58.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
57.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
57.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
57.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
57.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
57.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
57.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
56.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
56.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
56.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
55.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
55.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
54.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
54.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
54.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
53.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
53.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
53.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
52.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
50.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
49.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
49.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
49.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
47.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
46.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
46.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
45.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
45.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
44.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
43.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
40.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SBDS 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
102.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
204.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
182.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
174.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
159.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
156.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
154.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
148.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
148.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
148.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
146.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
145.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
144.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
140.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
138.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
132.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
131.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
130.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
129.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
129.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
128.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
127.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
125.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
124.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
120.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
118.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
116.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
116.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
114.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
111.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
106.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
106.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
106.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
105.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
105.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
104.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
104.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
104.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
103.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
100.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
100.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
99.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
99.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
99.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
99.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
98.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
98.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
98.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
98.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
97.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
95.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
95.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
95.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
95.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
94.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
93.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
93.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
92.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
88.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
86.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
86.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
85.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
84.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
82.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
81.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
81.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
80.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
79.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
79.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
77.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
76.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
76.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
75.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
74.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
74.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
73.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
71.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
71.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
64.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
64.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
63.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
62.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
60.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
59.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
59.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
56.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
44.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
41.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SBDS is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
85.2
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
203.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
163.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
156.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
142.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
137.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
136.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
130.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
127.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
125.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
123.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
121.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
121.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
120.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
116.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
115.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
115.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
113.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
113.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
113.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
112.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
112.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
111.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
110.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
109.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
109.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
108.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
108.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
108.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
108.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
107.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
106.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
106.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
105.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
105.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
105.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
105.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
105.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
105.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
104.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
103.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
103.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
103.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
102.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
102.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
101.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
101.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
101.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
101.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
100.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
100.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
100.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
100.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
98.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
98.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
98.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
98.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
97.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
97.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
97.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
97.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
97.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
97.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
97.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
96.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
96.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
96.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
96.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
95.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
94.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
93.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
92.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
92.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
91.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
91.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
91.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
90.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
90.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
90.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
90.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
90.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
89.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
89.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
88.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
88.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
88.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
88.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
88.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
88.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
87.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
87.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
87.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
87.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
86.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
86.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
86.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
86.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
86.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
85.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
85.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
85.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
85.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
85.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
84.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
83.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
83.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
83.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
83.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
83.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
83.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
82.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
82.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
82.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
82.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
82.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
82.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
82.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
81.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
81.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
81.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
81.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
81.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
81.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
80.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
80.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
80.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
79.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
79.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
78.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
78.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
78.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
77.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
77.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
77.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
76.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
76.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
76.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
76.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
76.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
76.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
75.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
75.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
75.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
75.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
74.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
74.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
74.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
73.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
72.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
70.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
70.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
70.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
70.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
70.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
69.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
69.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
69.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
69.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
69.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
68.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
67.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
67.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
67.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
65.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
64.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
64.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
63.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
63.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
63.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
63.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
63.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
62.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
62.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
61.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
60.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
60.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
60.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
60.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
59.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
59.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
58.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
58.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
58.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
57.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
57.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
57.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
57.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
57.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
55.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
55.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
55.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
54.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
54.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
53.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
52.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
52.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
50.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
50.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
49.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
48.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
46.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
46.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
46.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
45.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
45.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
44.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
44.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.9
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.7
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.7
47d2a435-b203-4438-ae72-53c424_D2
Normal
-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
