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.
UBE2E1 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
75.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
198.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
169.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
134.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
131.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
130.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
125.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
122.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
122.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
121.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
119.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
118.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
118.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
114.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
113.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
112.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
112.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
111.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
111.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
109.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
108.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
108.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
108.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
107.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
107.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
107.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
104.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
103.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
102.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
102.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
102.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
102.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
101.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
99.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
99.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
98.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
98.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
98.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
98.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
97.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
97.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
95.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
95.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
95.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
94.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
93.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
93.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
93.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
93.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
93.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
92.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
92.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
91.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
91.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
91.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
90.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
90.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
90.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
90.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
90.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
89.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
89.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
89.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
89.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
88.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
88.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
88.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
88.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
87.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
87.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
87.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
87.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
87.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
86.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
86.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
86.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
86.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
85.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
85.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
84.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
84.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
83.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
83.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
83.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
83.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
83.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
82.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
82.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
82.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
82.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
82.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
82.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
81.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
81.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
81.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
80.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
80.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
80.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
80.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
80.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
79.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
79.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
79.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
78.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
78.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
78.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
78.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
77.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
77.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
77.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
77.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
77.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
77.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
76.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
76.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
76.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
76.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
76.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
76.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
76.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
76.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
75.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
75.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
75.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
74.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
74.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
74.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
74.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
74.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
74.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
74.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
73.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
73.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
73.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
73.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
73.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
73.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
73.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
72.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
72.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
72.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
71.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
71.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
71.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
71.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
71.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
71.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
70.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
70.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
70.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
70.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
69.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
69.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
69.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
68.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
68.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
67.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
67.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
67.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
67.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
67.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
66.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
66.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
66.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
65.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
65.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
64.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
64.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
64.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
63.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
63.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
63.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
62.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
62.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
62.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
62.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
62.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
62.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
62.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
62.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
61.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
61.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
60.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
60.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
60.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
60.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
60.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
59.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
59.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
58.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
58.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
58.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
57.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
56.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
56.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
56.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
56.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
56.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
55.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
55.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
55.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
55.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
54.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
54.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
54.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
54.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
54.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
54.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
54.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
53.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
53.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
53.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
53.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
53.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
53.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
52.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
52.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
52.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
51.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
51.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
51.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
51.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
50.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
50.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
50.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
50.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
50.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
50.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
50.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
50.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
49.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
49.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
48.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
48.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
48.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
48.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
47.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
47.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
47.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
46.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
46.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
46.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
45.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
45.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
44.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
43.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
43.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
41.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
40.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
38.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
38.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
36.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
33.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
30.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 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.
UBE2E1 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
61.4
Number of samples
486
Samples
Sample
Description
TPM
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
128.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
125.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
118.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
110.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
107.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
106.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
103.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
103.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
103.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
100.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
99.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
99.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
97.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
97.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
95.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
95.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
95.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
94.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
93.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
90.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
90.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
89.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
88.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
88.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
88.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
87.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
87.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
87.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
87.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
86.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
86.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
86.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
85.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
85.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
85.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
85.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
85.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
85.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
85.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
85.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
84.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
84.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
84.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
84.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
84.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
84.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
84.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
83.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
83.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
82.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
82.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
82.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
82.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
82.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
82.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
81.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
81.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
81.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
80.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
80.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
80.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
80.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
80.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
79.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
79.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
79.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
78.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
78.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
78.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
77.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
77.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
77.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
77.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
77.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
77.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
77.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
77.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
77.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
77.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
76.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
76.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
76.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
76.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
76.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
76.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
75.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
75.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
75.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
75.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
75.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
75.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
75.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
75.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
75.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
74.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
74.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
74.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
74.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
74.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
74.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
74.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
74.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
74.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
74.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
74.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
74.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
74.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
74.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
73.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
73.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
73.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
73.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
73.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
72.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
72.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
72.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
72.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
72.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
72.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
72.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
71.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
71.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
71.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
71.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
71.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
71.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
71.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
70.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
70.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
70.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
70.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
70.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
70.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
69.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
69.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
69.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
69.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
69.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
69.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
69.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
69.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
69.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
68.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
68.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
68.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
68.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
68.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
68.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
68.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
68.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
68.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
68.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
68.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
68.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
67.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
67.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
67.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
67.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
67.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
67.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
67.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
67.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
67.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
66.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
66.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
66.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
66.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
66.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
66.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
66.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
66.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
66.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
65.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
65.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
65.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
65.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
65.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
64.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
64.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
64.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
64.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
64.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
64.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
64.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
64.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
64.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
63.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
63.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
63.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
63.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
63.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
63.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
63.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
63.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
63.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
63.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
63.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
63.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
63.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
63.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
63.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
63.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
63.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
62.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
62.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
62.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
62.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
62.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
62.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
62.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
61.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
61.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
61.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
61.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
61.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
61.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
61.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
61.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
61.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
61.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
61.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
61.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
61.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
61.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
61.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
61.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
60.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
60.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
60.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
60.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
60.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
60.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
60.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
60.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
60.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
60.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
60.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
59.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
59.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
59.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
59.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
59.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
59.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
59.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
59.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
59.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
59.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
59.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
59.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
59.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
59.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
59.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
59.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
58.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
58.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
58.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
58.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
58.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
58.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
58.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
58.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
58.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
58.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
58.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
58.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
58.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
58.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
58.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
57.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
57.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
57.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
57.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
57.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
57.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
57.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
57.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
57.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
57.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
57.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
57.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
57.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
57.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
56.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
56.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
56.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
56.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
56.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
56.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
56.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
56.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
56.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
56.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
55.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
55.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
55.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
55.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
55.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
55.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
55.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
55.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
55.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
55.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
55.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
55.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
55.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
55.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
55.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
55.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
54.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
54.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
54.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
54.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
54.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
54.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
54.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
54.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
54.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
54.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
54.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
54.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
54.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
54.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
53.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
53.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
53.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
53.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
53.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
53.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
53.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
53.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
53.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
53.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
53.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
53.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
52.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
52.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
52.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
52.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
52.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
52.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
52.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
52.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
52.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
52.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
52.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
52.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
52.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
52.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
51.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
51.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
51.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
51.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
51.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
51.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
51.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
51.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
51.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
51.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
51.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
50.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
50.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
50.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
50.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
50.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
50.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
50.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
50.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
49.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
49.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
49.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
49.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
49.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
49.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
49.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
49.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
49.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
49.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
49.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
48.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
48.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
48.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
48.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
48.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
48.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
48.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
48.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
48.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
48.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
48.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
47.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
47.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
47.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
47.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
47.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
47.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
47.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
46.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
46.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
46.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
46.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
46.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
46.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
46.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
46.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
46.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
46.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
45.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
45.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
45.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
45.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
45.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
45.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
44.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
44.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
44.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
44.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
44.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
43.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
43.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
43.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
43.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
43.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
43.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
43.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
43.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
43.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
42.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
42.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
42.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
42.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
42.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
42.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
41.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
41.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
41.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
41.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
41.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
40.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
40.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
40.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
40.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
40.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
40.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
39.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
39.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
39.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
39.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
39.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
39.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
39.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
38.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
38.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
38.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
38.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
37.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
37.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
37.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
37.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
36.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
36.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
36.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
36.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
35.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
35.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
34.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
33.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
33.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
32.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
31.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
30.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
30.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
29.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
27.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
19.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
UBE2E1 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
80.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
152.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
142.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
131.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
125.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
125.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
121.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
118.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
117.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
115.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
110.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
108.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
105.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
105.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
104.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
103.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
101.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
100.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
99.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
98.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
98.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
97.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
97.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
97.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
96.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
94.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
94.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
93.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
92.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
91.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
88.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
88.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
87.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
87.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
86.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
84.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
83.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
83.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
82.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
81.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
81.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
80.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
79.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
79.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
79.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
79.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
79.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
78.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
78.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
78.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
77.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
76.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
75.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
73.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
72.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
72.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
71.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
71.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
71.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
71.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
70.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
70.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
68.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
68.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
68.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
68.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
66.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
65.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
64.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
64.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
63.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
63.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
62.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
61.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
60.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
59.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
59.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
58.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
54.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
51.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
49.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
48.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
42.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
41.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
40.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
37.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
33.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
31.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
UBE2E1 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
56.6
Number of samples
207
Samples
Sample
Description
TPM
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
114.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
96.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
92.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
91.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
85.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
83.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
83.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
82.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
81.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
80.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
80.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
80.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
80.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
80.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
79.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
77.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
77.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
77.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
77.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
76.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
76.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
75.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
75.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
74.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
73.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
73.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
73.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
73.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
71.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
71.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
71.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
71.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
70.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
70.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
70.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
70.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
69.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
69.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
69.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
68.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
68.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
67.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
67.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
67.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
67.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
67.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
67.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
66.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
66.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
66.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
66.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
66.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
65.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
65.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
65.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
65.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
65.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
64.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
64.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
64.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
63.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
63.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
63.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
63.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
63.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
63.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
63.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
62.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
62.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
62.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
62.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
62.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
62.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
61.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
61.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
61.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
60.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
60.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
60.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
60.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
60.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
60.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
60.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
60.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
59.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
59.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
59.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
59.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
59.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
59.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
57.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
57.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
57.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
57.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
56.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
56.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
56.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
55.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
55.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
55.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
55.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
55.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
55.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
55.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
55.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
54.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
54.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
54.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
54.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
54.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
54.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
54.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
54.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
53.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
53.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
53.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
53.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
53.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
52.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
52.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
52.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
52.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
52.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
51.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
51.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
51.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
51.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
51.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
51.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
51.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
51.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
51.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
51.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
51.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
51.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
50.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
50.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
50.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
50.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
49.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
49.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
49.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
49.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
49.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
49.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
49.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
48.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
48.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
48.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
48.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
48.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
47.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
47.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
46.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
46.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
46.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
46.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
45.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
45.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
45.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
45.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
45.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
44.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
44.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
44.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
44.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
44.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
44.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
43.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
43.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
43.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
42.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
42.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
41.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
40.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
40.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
40.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
40.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
39.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
39.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
38.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
36.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
35.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
35.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
35.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
34.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
34.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
34.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
34.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
33.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
32.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
32.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
31.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
30.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
30.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
29.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
28.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
24.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
23.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
20.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
20.1
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
2.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.7
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.8
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-1.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
