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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.
DRAP1 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
111.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
298.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
246.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
242.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
215.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
214.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
208.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
189.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
186.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
178.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
174.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
174.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
173.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
172.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
171.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
169.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
168.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
168.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
167.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
167.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
166.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
164.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
162.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
162.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
161.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
157.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
157.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
157.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
156.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
155.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
152.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
151.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
151.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
150.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
150.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
149.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
148.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
148.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
146.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
146.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
146.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
146.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
145.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
143.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
143.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
143.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
141.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
140.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
140.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
139.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
139.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
138.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
138.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
136.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
136.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
136.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
136.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
135.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
135.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
135.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
135.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
133.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
133.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
133.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
132.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
132.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
131.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
131.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
129.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
129.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
129.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
129.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
128.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
127.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
127.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
126.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
126.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
126.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
126.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
126.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
125.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
124.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
123.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
123.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
122.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
122.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
121.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
121.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
120.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
119.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
118.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
118.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
118.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
118.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
117.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
117.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
116.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
116.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
116.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
115.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
115.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
115.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
113.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
113.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
113.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
112.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
112.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
112.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
112.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
111.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
111.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
111.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
110.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
110.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
109.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
109.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
108.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
108.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
108.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
107.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
107.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
106.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
106.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
106.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
105.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
104.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
104.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
104.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
104.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
104.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
103.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
102.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
102.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
101.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
101.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
101.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
101.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
100.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
100.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
100.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
100.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
100.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
100.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
100.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
100.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
99.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
99.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
99.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
99.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
99.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
99.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
98.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
98.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
97.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
97.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
97.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
96.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
96.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
96.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
96.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
96.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
95.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
95.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
95.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
95.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
94.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
94.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
94.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
94.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
93.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
93.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
93.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
92.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
92.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
92.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
92.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
91.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
91.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
91.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
91.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
91.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
91.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
90.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
90.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
90.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
90.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
88.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
88.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
87.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
87.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
87.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
87.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
86.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
86.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
86.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
86.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
86.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
86.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
85.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
85.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
84.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
82.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
82.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
81.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
81.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
81.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
80.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
80.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
80.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
79.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
79.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
79.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
78.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
78.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
78.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
78.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
78.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
78.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
78.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
78.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
78.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
78.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
77.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
77.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
77.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
76.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
75.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
75.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
75.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
74.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
74.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
74.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
73.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
72.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
72.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
72.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
71.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
71.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
70.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
70.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
70.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
69.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
67.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
66.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
63.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
63.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
61.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
60.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
58.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
55.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
52.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
50.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
48.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
44.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 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.
DRAP1 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
46.6
Number of samples
486
Samples
Sample
Description
TPM
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
127.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
125.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
121.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
107.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
96.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
86.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
85.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
84.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
84.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
81.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
81.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
80.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
79.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
79.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
79.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
78.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
78.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
78.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
78.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
77.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
77.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
76.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
75.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
75.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
72.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
72.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
72.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
71.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
71.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
70.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
70.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
70.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
69.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
69.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
67.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
67.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
67.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
66.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
66.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
65.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
65.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
64.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
64.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
63.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
63.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
63.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
63.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
63.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
62.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
62.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
62.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
62.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
62.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
62.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
60.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
60.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
60.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
60.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
60.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
60.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
59.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
59.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
59.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
59.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
59.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
59.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
59.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
58.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
58.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
58.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
58.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
58.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
58.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
58.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
58.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
58.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
58.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
58.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
57.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
57.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
57.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
57.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
57.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
57.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
56.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
56.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
56.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
56.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
55.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
55.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
55.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
55.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
55.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
55.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
55.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
55.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
55.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
54.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
54.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
54.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
54.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
54.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
54.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
54.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
54.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
53.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
53.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
53.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
53.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
53.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
53.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
53.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
53.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
53.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
52.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
52.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
52.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
52.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
52.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
52.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
52.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
52.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
52.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
52.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
52.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
52.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
52.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
52.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
52.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
52.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
52.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
51.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
51.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
51.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
51.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
51.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
51.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
51.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
51.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
51.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
51.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
51.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
51.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
51.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
51.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
51.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
51.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
50.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
50.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
50.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
50.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
50.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
50.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
50.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
50.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
50.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
50.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
50.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
50.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
49.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
49.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
49.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
49.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
49.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
49.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
49.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
49.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
49.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
49.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
49.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
49.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
49.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
49.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
49.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
48.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
48.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
48.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
48.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
48.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
48.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
48.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
48.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
48.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
48.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
48.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
48.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
48.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
48.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
48.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
48.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
48.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
48.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
47.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
47.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
47.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
47.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
47.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
47.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
47.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
47.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
47.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
47.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
47.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
47.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
47.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
47.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
47.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
47.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
46.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
46.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
46.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
46.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
46.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
46.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
46.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
46.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
46.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
46.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
45.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
45.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
45.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
45.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
45.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
45.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
45.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
45.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
45.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
45.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
45.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
45.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
45.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
45.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
44.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
44.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
44.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
44.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
44.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
44.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
44.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
44.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
44.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
44.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
44.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
44.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
44.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
44.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
44.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
44.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
44.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
44.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
44.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
43.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
43.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
43.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
43.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
43.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
43.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
43.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
43.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
43.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
43.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
43.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
43.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
43.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
43.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
43.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
43.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
43.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
43.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
42.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
42.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
42.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
42.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
42.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
42.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
42.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
42.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
42.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
42.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
42.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
42.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
42.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
42.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
41.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
41.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
41.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
41.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
41.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
41.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
41.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
41.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
41.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
41.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
41.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
41.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
41.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
41.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
41.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
41.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
41.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
41.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
41.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
41.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
41.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
41.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
40.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
40.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
40.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
40.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
40.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
40.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
40.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
40.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
40.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
39.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
39.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
39.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
39.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
39.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
39.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
39.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
39.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
39.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
39.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
39.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
39.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
39.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
39.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
38.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
38.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
38.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
38.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
38.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
38.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
38.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
38.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
38.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
38.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
38.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
38.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
38.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
38.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
37.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
37.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
37.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
37.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
37.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
37.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
37.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
37.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
37.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
37.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
37.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
37.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
37.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
37.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
36.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
36.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
36.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
36.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
36.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
36.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
36.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
36.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
36.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
36.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
36.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
36.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
36.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
36.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
36.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
36.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
36.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
36.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
36.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
36.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
36.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
36.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
36.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
36.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
35.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
35.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
35.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
35.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
35.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
35.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
35.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
35.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
35.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
35.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
35.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
35.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
35.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
35.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
35.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
35.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
34.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
34.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
34.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
34.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
34.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
34.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
34.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
34.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
34.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
34.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
34.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
34.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
34.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
34.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
33.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
33.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
33.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
33.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
33.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
33.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
33.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
33.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
33.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
32.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
32.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
32.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
32.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
32.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
32.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
32.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
32.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
32.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
32.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
31.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
31.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
31.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
31.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
31.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
31.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
31.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
31.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
31.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
30.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
30.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
30.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
30.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
29.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
29.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
29.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
29.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
29.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
29.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
29.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
28.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
28.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
28.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
27.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
27.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
27.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
27.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
26.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
26.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
26.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
26.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
25.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
25.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
25.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
24.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
24.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
23.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
21.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
21.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
20.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
20.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.1
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.
DRAP1 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
115.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
224.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
191.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
179.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
178.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
172.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
171.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
170.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
160.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
160.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
157.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
157.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
157.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
155.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
150.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
149.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
148.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
146.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
142.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
137.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
135.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
135.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
134.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
134.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
133.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
131.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
129.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
129.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
128.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
127.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
125.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
124.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
124.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
124.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
120.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
119.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
118.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
117.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
116.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
116.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
116.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
115.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
114.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
113.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
112.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
111.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
111.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
110.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
110.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
109.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
109.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
109.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
109.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
108.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
107.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
106.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
105.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
104.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
104.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
102.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
97.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
96.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
96.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
95.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
94.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
94.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
94.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
93.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
93.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
93.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
92.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
87.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
86.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
86.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
83.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
81.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
79.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
73.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
72.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
72.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
66.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
65.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
65.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
63.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
62.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
61.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
54.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
53.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 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.
DRAP1 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
43.4
Number of samples
207
Samples
Sample
Description
TPM
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
80.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
78.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
78.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
78.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
72.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
71.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
71.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
68.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
66.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
66.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
65.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
65.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
64.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
64.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
63.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
63.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
62.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
62.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
62.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
61.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
61.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
61.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
60.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
59.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
58.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
58.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
57.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
57.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
57.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
56.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
56.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
56.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
55.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
54.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
53.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
52.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
52.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
52.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
52.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
52.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
52.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
51.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
51.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
51.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
51.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
51.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
51.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
51.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
50.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
50.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
50.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
50.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
49.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
49.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
49.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
49.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
49.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
49.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
48.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
48.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
48.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
48.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
48.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
48.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
48.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
47.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
47.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
47.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
47.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
47.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
47.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
47.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
46.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
46.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
46.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
46.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
46.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
46.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
46.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
46.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
45.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
45.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
45.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
44.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
44.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
44.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
44.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
44.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
44.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
44.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
44.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
44.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
43.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
43.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
43.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
43.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
43.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
42.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
42.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
42.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
42.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
42.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
41.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
41.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
41.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
41.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
41.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
41.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
40.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
40.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
40.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
40.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
40.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
40.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
39.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
39.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
39.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
39.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
39.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
39.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
39.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
38.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
38.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
38.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
38.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
38.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
37.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
37.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
37.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
37.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
37.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
37.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
37.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
37.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
37.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
37.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
37.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
36.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
36.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
36.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
36.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
36.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
36.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
35.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
35.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
35.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
34.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
34.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
34.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
34.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
34.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
33.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
33.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
33.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
33.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
33.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
33.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
33.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
33.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
32.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
32.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
32.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
32.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
32.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
32.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
32.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
31.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
31.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
31.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
30.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
30.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
30.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
30.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
30.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
29.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
29.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
29.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
28.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
28.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
28.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
28.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
27.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
27.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
27.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
27.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
26.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
26.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
25.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
25.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
24.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
23.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
22.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
22.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
20.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.8
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.7
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.7
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.6
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.9
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-1.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-1.1
b2400046-1d25-429d-a821-6040a6
Tumor
-2.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
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
