We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
RAP1B 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
96.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
239.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
212.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
196.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
192.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
180.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
172.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
166.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
165.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
163.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
161.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
160.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
159.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
154.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
153.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
152.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
151.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
151.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
149.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
148.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
147.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
144.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
142.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
142.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
141.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
141.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
137.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
137.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
137.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
134.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
133.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
131.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
131.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
131.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
130.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
130.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
130.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
129.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
128.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
127.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
126.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
125.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
125.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
125.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
124.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
124.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
121.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
121.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
121.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
119.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
119.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
118.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
118.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
117.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
117.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
116.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
116.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
116.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
115.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
115.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
115.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
113.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
113.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
113.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
112.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
112.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
111.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
111.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
110.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
110.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
109.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
109.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
109.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
108.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
108.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
108.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
108.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
107.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
107.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
107.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
107.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
107.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
106.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
105.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
104.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
104.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
104.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
104.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
104.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
103.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
102.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
102.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
101.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
99.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
99.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
99.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
99.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
99.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
99.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
99.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
98.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
96.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
96.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
96.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
96.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
96.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
95.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
95.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
95.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
95.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
94.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
93.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
93.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
93.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
93.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
93.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
92.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
92.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
92.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
92.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
92.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
91.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
91.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
91.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
91.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
91.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
91.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
90.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
90.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
90.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
90.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
90.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
90.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
89.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
89.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
89.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
89.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
89.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
89.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
88.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
88.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
88.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
87.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
87.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
86.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
86.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
86.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
86.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
85.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
85.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
84.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
84.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
84.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
84.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
83.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
83.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
83.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
83.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
82.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
82.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
82.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
82.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
82.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
81.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
81.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
81.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
80.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
80.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
80.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
80.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
80.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
80.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
80.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
80.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
79.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
79.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
79.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
79.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
79.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
78.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
78.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
78.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
77.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
77.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
77.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
77.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
76.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
75.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
75.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
75.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
75.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
75.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
74.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
74.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
73.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
73.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
73.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
72.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
72.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
72.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
72.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
71.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
70.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
70.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
69.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
69.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
68.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
68.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
68.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
68.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
67.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
67.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
66.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
66.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
66.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
66.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
66.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
66.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
66.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
66.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
65.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
65.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
65.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
64.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
62.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
62.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
61.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
61.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
61.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
60.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
60.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
60.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
60.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
59.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
58.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
58.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
58.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
57.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
57.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
56.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
56.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
56.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
55.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
54.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
53.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
50.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
50.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
49.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
49.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
48.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
47.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
46.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
43.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
42.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 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.
RAP1B 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
150.9
Number of samples
486
Samples
Sample
Description
TPM
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
312.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
289.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
258.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
246.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
240.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
232.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
230.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
229.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
229.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
229.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
228.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
228.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
227.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
226.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
224.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
222.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
222.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
221.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
220.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
219.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
219.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
217.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
216.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
212.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
211.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
211.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
210.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
210.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
208.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
208.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
208.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
207.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
207.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
207.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
205.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
205.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
204.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
202.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
201.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
201.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
200.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
200.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
199.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
199.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
198.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
198.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
198.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
197.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
197.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
196.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
195.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
195.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
194.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
194.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
191.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
191.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
191.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
190.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
190.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
189.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
189.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
189.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
189.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
188.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
187.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
186.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
185.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
185.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
184.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
183.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
183.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
183.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
183.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
182.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
182.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
182.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
181.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
180.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
180.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
180.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
179.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
179.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
179.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
179.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
178.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
178.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
177.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
177.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
176.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
176.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
176.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
176.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
176.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
176.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
176.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
176.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
175.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
175.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
175.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
174.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
174.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
174.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
174.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
174.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
174.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
174.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
174.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
173.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
173.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
173.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
172.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
172.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
172.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
172.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
172.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
171.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
171.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
171.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
170.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
170.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
169.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
169.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
169.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
168.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
168.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
168.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
167.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
167.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
167.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
167.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
167.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
166.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
166.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
166.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
166.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
165.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
165.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
165.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
165.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
165.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
165.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
165.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
165.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
164.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
164.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
164.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
164.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
163.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
163.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
163.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
163.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
163.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
162.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
162.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
162.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
162.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
162.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
161.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
161.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
160.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
159.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
159.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
159.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
159.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
159.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
159.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
158.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
158.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
158.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
158.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
158.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
158.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
158.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
157.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
157.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
157.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
157.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
157.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
156.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
156.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
156.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
156.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
156.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
156.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
155.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
155.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
155.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
155.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
155.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
155.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
155.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
155.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
155.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
155.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
155.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
155.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
154.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
154.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
154.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
153.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
153.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
153.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
153.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
152.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
152.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
151.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
151.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
151.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
151.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
151.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
151.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
151.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
150.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
150.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
150.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
150.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
150.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
149.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
149.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
149.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
149.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
149.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
149.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
149.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
149.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
148.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
148.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
147.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
147.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
147.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
147.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
146.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
146.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
146.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
146.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
146.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
146.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
146.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
146.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
146.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
146.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
146.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
146.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
145.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
145.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
145.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
145.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
145.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
145.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
145.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
145.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
144.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
144.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
144.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
144.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
144.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
143.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
143.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
143.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
143.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
143.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
143.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
143.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
143.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
143.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
143.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
143.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
143.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
143.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
142.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
142.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
142.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
142.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
142.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
142.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
141.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
141.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
141.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
141.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
141.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
140.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
140.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
140.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
140.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
140.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
140.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
140.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
140.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
139.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
139.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
139.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
139.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
139.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
139.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
139.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
139.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
139.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
139.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
138.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
138.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
138.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
138.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
138.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
137.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
137.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
136.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
136.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
136.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
136.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
136.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
135.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
135.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
135.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
135.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
135.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
135.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
135.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
135.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
134.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
134.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
134.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
134.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
134.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
134.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
134.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
134.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
134.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
134.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
133.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
133.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
133.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
133.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
133.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
133.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
133.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
133.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
133.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
133.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
132.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
132.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
132.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
132.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
132.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
132.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
132.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
131.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
131.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
131.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
131.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
131.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
131.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
131.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
131.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
131.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
131.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
131.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
130.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
130.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
130.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
130.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
130.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
130.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
129.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
129.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
129.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
129.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
129.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
129.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
129.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
129.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
129.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
129.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
128.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
128.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
128.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
127.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
127.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
127.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
127.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
127.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
127.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
127.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
127.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
126.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
126.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
126.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
126.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
126.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
126.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
126.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
126.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
126.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
125.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
125.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
125.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
125.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
125.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
125.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
125.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
124.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
124.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
124.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
124.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
123.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
123.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
123.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
122.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
122.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
122.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
122.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
121.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
121.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
121.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
121.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
120.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
120.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
120.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
120.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
120.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
119.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
119.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
118.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
118.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
118.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
117.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
117.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
117.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
116.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
116.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
115.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
115.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
114.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
114.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
114.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
114.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
114.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
114.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
114.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
113.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
113.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
112.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
112.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
111.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
111.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
111.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
110.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
110.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
110.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
110.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
110.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
109.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
109.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
109.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
108.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
108.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
108.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
107.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
106.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
106.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
106.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
105.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
104.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
104.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
103.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
103.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
103.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
103.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
101.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
100.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
99.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
99.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
97.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
97.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
96.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
94.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
93.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
91.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
90.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
90.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
88.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
87.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
83.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
82.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
81.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
10.2
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.
RAP1B 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
94.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
175.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
172.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
164.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
149.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
145.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
140.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
139.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
129.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
129.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
129.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
128.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
127.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
126.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
124.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
121.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
120.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
119.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
116.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
115.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
114.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
114.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
112.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
111.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
110.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
107.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
107.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
105.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
104.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
104.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
103.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
103.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
103.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
102.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
102.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
101.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
101.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
100.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
100.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
98.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
97.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
97.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
97.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
97.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
96.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
95.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
93.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
93.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
92.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
91.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
89.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
89.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
88.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
88.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
88.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
88.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
86.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
84.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
84.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
83.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
82.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
79.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
79.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
79.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
78.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
78.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
77.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
76.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
75.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
73.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
72.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
72.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
71.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
71.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
69.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
67.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
67.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
63.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
59.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
58.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
56.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
55.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
54.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
53.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
50.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
45.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
30.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
23.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RAP1B 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
136.8
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
254.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
208.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
206.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
203.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
202.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
196.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
193.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
192.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
187.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
186.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
185.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
184.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
184.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
183.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
180.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
179.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
178.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
177.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
176.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
170.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
170.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
169.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
169.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
168.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
166.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
166.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
166.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
166.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
166.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
165.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
164.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
164.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
164.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
164.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
163.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
162.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
162.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
160.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
160.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
160.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
159.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
159.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
158.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
157.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
154.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
154.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
153.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
152.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
152.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
150.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
150.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
150.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
148.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
147.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
147.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
147.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
146.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
146.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
146.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
146.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
146.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
146.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
146.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
146.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
145.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
145.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
145.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
145.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
144.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
144.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
144.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
144.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
144.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
143.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
143.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
143.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
142.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
141.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
141.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
140.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
140.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
140.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
140.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
140.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
139.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
139.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
138.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
138.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
138.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
137.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
137.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
136.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
136.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
136.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
136.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
136.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
136.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
136.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
136.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
136.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
135.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
135.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
135.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
134.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
134.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
134.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
133.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
133.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
132.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
132.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
132.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
132.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
132.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
131.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
131.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
131.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
130.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
130.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
130.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
129.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
129.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
128.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
128.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
128.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
128.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
127.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
127.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
126.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
126.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
126.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
125.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
125.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
125.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
125.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
124.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
124.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
124.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
124.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
124.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
124.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
124.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
124.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
123.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
123.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
123.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
123.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
122.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
122.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
122.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
122.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
122.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
121.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
121.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
121.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
121.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
120.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
120.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
119.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
119.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
118.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
118.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
118.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
118.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
118.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
118.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
118.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
118.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
117.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
117.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
116.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
115.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
114.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
113.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
112.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
111.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
110.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
108.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
108.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
108.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
108.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
108.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
107.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
106.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
105.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
105.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
104.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
102.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
102.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
101.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
100.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
100.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
99.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
99.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
98.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
98.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
98.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
96.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
94.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
93.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
93.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
93.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
90.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
90.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
87.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
85.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
85.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
62.8
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.9
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
