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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.
RHEB 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
100.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
228.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
224.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
191.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
183.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
180.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
177.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
173.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
172.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
163.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
161.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
159.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
159.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
157.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
154.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
154.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
152.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
152.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
151.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
149.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
147.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
146.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
146.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
146.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
144.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
142.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
142.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
141.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
141.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
140.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
139.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
138.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
138.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
137.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
137.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
137.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
137.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
135.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
135.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
134.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
134.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
134.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
132.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
132.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
132.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
131.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
131.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
130.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
130.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
129.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
128.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
128.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
127.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
125.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
125.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
124.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
124.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
123.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
123.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
122.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
122.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
122.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
121.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
119.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
119.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
119.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
117.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
117.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
117.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
117.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
115.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
115.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
115.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
115.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
114.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
114.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
114.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
114.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
113.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
113.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
112.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
112.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
112.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
111.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
111.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
111.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
110.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
110.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
110.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
110.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
109.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
108.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
108.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
108.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
108.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
107.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
107.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
106.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
106.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
105.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
105.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
105.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
105.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
104.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
104.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
104.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
104.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
104.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
103.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
102.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
102.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
102.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
102.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
102.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
101.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
101.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
101.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
100.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
100.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
100.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
99.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
99.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
99.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
99.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
99.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
98.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
97.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
97.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
97.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
97.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
96.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
96.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
96.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
96.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
96.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
96.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
95.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
94.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
94.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
93.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
93.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
93.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
92.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
92.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
92.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
91.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
91.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
90.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
90.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
90.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
90.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
89.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
89.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
88.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
88.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
87.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
87.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
86.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
86.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
86.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
86.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
85.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
85.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
85.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
85.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
84.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
83.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
83.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
83.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
83.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
83.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
82.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
81.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
81.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
81.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
81.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
80.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
80.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
80.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
79.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
79.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
78.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
78.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
77.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
76.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
76.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
75.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
75.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
74.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
74.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
74.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
74.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
73.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
73.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
73.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
72.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
72.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
72.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
72.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
71.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
71.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
71.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
71.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
71.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
70.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
70.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
70.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
69.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
69.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
69.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
69.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
69.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
69.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
68.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
68.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
68.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
68.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
67.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
67.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
66.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
66.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
65.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
64.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
64.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
64.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
64.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
63.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
63.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
63.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
63.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
63.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
63.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
62.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
62.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
61.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
61.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
61.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
61.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
60.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
59.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
58.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
57.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
57.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
57.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
56.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
55.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
53.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
53.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
52.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
52.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
50.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
48.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
48.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
43.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 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.
RHEB 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
94.6
Number of samples
486
Samples
Sample
Description
TPM
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
253.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
236.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
203.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
199.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
191.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
188.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
174.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
174.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
173.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
172.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
167.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
165.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
164.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
160.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
158.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
158.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
157.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
152.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
149.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
149.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
149.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
149.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
148.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
147.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
146.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
146.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
145.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
144.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
144.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
143.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
142.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
141.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
141.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
140.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
140.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
140.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
139.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
139.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
138.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
137.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
137.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
137.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
137.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
136.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
135.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
135.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
134.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
133.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
133.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
132.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
131.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
131.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
130.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
130.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
129.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
129.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
129.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
128.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
128.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
128.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
128.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
128.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
127.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
127.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
127.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
126.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
126.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
126.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
125.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
125.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
125.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
125.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
123.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
123.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
123.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
122.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
122.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
122.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
122.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
121.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
121.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
121.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
121.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
121.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
121.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
120.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
120.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
120.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
120.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
119.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
119.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
119.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
118.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
118.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
118.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
118.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
118.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
118.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
117.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
117.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
117.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
116.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
116.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
116.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
115.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
115.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
115.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
115.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
115.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
114.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
114.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
114.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
114.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
114.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
114.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
114.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
114.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
113.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
112.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
112.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
112.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
112.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
111.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
111.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
111.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
111.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
111.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
111.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
110.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
110.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
110.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
110.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
109.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
109.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
109.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
109.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
109.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
109.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
109.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
108.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
108.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
108.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
108.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
108.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
107.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
107.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
107.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
106.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
106.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
106.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
106.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
106.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
106.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
106.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
105.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
105.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
105.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
105.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
105.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
104.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
104.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
103.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
103.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
103.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
103.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
103.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
103.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
103.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
103.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
102.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
102.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
102.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
102.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
102.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
102.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
102.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
102.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
101.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
101.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
101.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
100.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
100.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
100.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
99.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
99.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
99.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
99.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
99.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
98.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
98.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
98.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
98.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
98.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
98.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
98.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
97.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
97.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
96.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
96.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
96.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
96.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
96.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
96.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
95.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
95.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
95.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
95.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
95.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
95.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
95.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
95.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
94.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
94.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
93.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
93.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
93.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
93.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
92.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
92.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
92.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
92.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
91.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
91.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
91.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
91.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
91.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
91.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
91.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
91.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
91.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
91.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
90.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
90.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
90.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
90.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
90.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
90.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
90.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
89.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
89.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
89.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
89.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
89.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
88.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
88.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
88.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
88.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
88.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
88.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
88.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
87.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
87.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
87.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
87.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
87.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
87.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
87.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
87.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
87.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
86.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
86.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
86.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
86.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
86.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
85.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
85.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
85.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
85.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
85.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
85.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
85.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
85.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
85.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
85.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
85.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
85.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
85.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
85.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
84.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
84.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
84.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
84.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
84.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
84.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
84.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
84.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
84.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
83.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
83.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
83.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
83.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
83.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
83.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
82.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
82.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
82.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
82.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
82.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
82.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
82.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
82.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
82.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
81.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
81.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
81.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
81.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
81.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
81.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
81.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
81.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
81.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
81.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
81.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
80.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
80.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
80.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
80.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
79.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
79.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
79.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
79.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
79.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
79.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
79.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
78.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
78.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
78.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
78.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
78.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
78.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
78.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
78.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
78.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
77.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
77.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
77.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
77.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
77.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
77.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
76.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
76.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
76.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
76.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
76.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
76.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
76.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
76.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
75.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
75.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
75.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
75.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
75.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
75.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
75.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
75.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
75.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
75.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
75.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
75.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
74.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
74.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
74.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
74.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
73.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
73.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
73.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
73.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
73.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
72.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
72.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
72.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
71.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
71.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
71.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
71.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
71.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
71.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
71.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
71.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
71.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
71.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
70.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
70.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
70.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
70.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
70.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
70.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
70.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
70.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
69.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
69.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
69.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
69.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
69.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
69.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
69.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
69.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
68.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
68.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
68.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
68.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
67.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
67.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
67.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
67.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
67.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
67.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
67.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
67.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
66.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
66.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
66.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
66.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
66.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
66.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
65.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
65.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
65.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
65.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
65.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
65.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
65.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
65.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
64.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
64.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
63.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
63.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
63.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
63.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
63.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
63.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
63.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
62.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
62.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
62.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
62.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
62.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
62.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
61.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
61.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
61.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
61.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
61.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
60.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
60.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
60.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
60.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
59.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
59.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
59.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
59.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
58.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
57.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
57.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
57.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
57.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
57.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
56.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
56.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
55.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
54.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
54.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
53.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
52.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
52.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
51.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
51.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
51.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
51.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
50.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
50.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
50.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
50.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
49.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
48.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
48.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
47.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
46.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
45.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
45.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
41.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
41.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
39.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.8
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.
RHEB 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
121.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
232.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
229.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
212.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
209.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
208.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
208.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
200.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
199.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
185.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
184.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
184.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
183.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
177.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
175.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
174.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
172.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
169.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
166.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
164.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
163.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
163.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
151.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
150.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
147.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
146.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
144.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
144.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
139.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
138.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
137.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
134.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
134.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
132.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
129.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
128.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
128.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
128.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
124.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
123.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
121.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
119.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
118.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
116.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
115.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
109.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
108.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
107.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
107.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
104.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
104.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
100.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
99.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
98.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
97.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
96.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
95.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
95.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
95.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
92.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
92.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
92.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
91.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
89.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
88.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
88.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
86.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
86.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
83.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
82.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
82.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
81.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
81.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
78.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
76.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
76.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
74.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
73.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
73.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
72.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
72.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
70.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
69.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
68.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
66.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
64.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
60.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
41.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RHEB 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
88.4
Number of samples
207
Samples
Sample
Description
TPM
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
179.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
173.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
167.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
151.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
148.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
148.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
146.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
140.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
139.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
136.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
136.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
134.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
131.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
131.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
131.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
129.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
129.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
127.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
126.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
126.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
125.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
124.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
122.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
120.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
120.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
120.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
119.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
118.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
118.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
118.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
118.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
117.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
117.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
116.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
116.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
115.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
114.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
113.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
112.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
111.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
110.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
109.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
109.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
108.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
108.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
108.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
107.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
107.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
106.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
106.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
106.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
106.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
105.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
105.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
103.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
103.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
103.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
102.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
101.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
100.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
100.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
99.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
99.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
98.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
98.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
97.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
96.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
96.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
96.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
96.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
95.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
95.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
95.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
94.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
94.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
94.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
94.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
94.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
93.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
93.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
92.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
92.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
92.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
92.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
92.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
91.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
91.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
91.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
89.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
89.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
89.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
89.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
88.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
88.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
88.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
88.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
87.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
87.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
87.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
87.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
86.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
85.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
85.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
84.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
84.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
84.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
83.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
82.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
81.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
80.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
80.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
80.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
79.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
79.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
79.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
79.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
78.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
78.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
78.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
78.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
77.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
77.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
77.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
76.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
76.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
76.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
76.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
76.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
76.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
75.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
75.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
75.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
75.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
75.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
75.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
74.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
74.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
74.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
74.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
73.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
73.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
73.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
73.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
72.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
72.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
72.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
72.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
72.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
71.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
71.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
71.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
70.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
70.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
70.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
69.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
69.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
69.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
68.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
68.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
68.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
67.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
67.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
67.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
67.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
66.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
66.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
66.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
65.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
65.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
65.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
65.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
64.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
64.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
64.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
64.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
63.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
62.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
62.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
62.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
62.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
61.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
61.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
60.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
59.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
58.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
57.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
57.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
56.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
56.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
55.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
55.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
55.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
55.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
54.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
53.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
53.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
52.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
51.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
51.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
50.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
50.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
49.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
44.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
42.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
41.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
37.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
1.6
b2400046-1d25-429d-a821-6040a6
Tumor
1.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.8
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.7
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.8
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.8
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.8
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.9
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.9
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.9
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.9
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-2.1
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
