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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
UBE2A 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
58.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
146.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
129.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
113.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
112.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
111.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
109.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
107.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
104.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
102.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
101.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
99.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
96.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
96.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
96.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
95.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
95.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
93.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
93.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
92.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
92.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
92.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
91.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
90.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
89.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
88.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
87.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
87.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
86.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
86.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
86.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
85.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
84.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
83.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
83.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
83.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
82.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
81.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
80.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
80.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
79.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
79.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
78.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
78.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
78.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
77.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
77.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
76.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
76.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
76.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
75.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
75.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
74.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
74.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
74.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
74.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
74.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
74.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
73.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
71.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
71.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
71.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
71.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
71.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
71.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
70.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
70.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
70.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
69.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
69.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
69.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
69.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
68.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
68.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
68.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
68.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
68.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
67.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
67.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
67.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
66.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
66.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
66.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
66.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
63.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
63.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
63.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
63.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
63.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
62.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
62.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
62.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
62.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
61.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
61.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
61.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
61.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
61.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
60.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
60.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
60.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
60.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
60.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
59.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
59.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
59.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
59.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
58.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
58.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
57.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
57.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
57.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
57.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
57.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
57.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
56.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
56.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
56.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
56.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
55.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
55.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
55.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
55.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
55.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
55.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
55.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
54.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
54.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
54.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
54.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
54.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
54.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
54.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
53.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
53.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
53.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
53.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
53.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
52.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
52.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
52.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
52.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
52.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
52.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
51.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
51.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
51.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
51.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
51.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
51.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
51.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
50.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
50.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
50.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
50.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
50.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
50.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
49.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
49.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
49.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
49.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
49.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
49.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
49.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
48.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
48.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
48.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
48.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
48.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
47.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
47.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
47.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
47.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
46.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
46.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
46.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
46.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
46.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
46.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
46.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
46.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
45.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
45.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
45.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
45.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
44.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
44.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
44.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
44.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
44.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
43.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
43.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
43.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
43.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
42.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
42.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
42.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
42.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
42.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
41.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
41.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
41.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
41.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
40.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
40.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
40.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
40.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
40.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
39.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
39.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
39.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
39.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
39.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
39.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
39.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
39.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
39.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
38.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
38.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
38.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
38.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
38.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
38.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
38.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
37.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
37.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
36.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
36.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
36.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
36.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
35.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
35.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
35.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
35.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
35.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
35.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
35.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
34.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
34.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
34.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
34.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
34.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
33.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
33.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
33.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
32.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
32.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
31.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
30.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
30.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
30.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
29.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
29.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
26.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
UBE2A 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
57.1
Number of samples
486
Samples
Sample
Description
TPM
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
135.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
131.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
117.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
109.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
106.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
106.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
101.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
97.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
96.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
96.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
94.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
94.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
92.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
91.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
90.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
89.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
89.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
89.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
88.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
87.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
86.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
86.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
86.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
85.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
85.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
85.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
84.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
84.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
83.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
83.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
82.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
82.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
81.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
81.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
80.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
80.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
80.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
80.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
79.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
79.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
79.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
79.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
78.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
78.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
78.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
77.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
77.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
76.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
76.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
76.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
75.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
75.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
75.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
75.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
75.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
75.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
75.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
75.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
75.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
74.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
74.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
74.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
74.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
74.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
74.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
74.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
73.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
73.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
73.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
73.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
73.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
73.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
73.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
73.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
73.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
72.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
72.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
72.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
72.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
72.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
72.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
71.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
71.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
71.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
71.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
71.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
70.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
70.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
70.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
70.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
69.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
69.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
69.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
69.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
68.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
68.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
68.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
67.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
67.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
67.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
67.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
67.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
67.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
67.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
67.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
67.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
67.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
66.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
66.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
66.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
66.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
66.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
65.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
65.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
65.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
65.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
65.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
65.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
65.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
65.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
64.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
64.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
64.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
64.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
64.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
64.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
64.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
63.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
63.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
63.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
63.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
63.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
63.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
63.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
63.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
63.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
63.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
63.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
63.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
63.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
63.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
63.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
63.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
62.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
62.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
62.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
62.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
62.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
62.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
62.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
62.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
62.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
62.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
62.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
62.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
61.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
61.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
61.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
61.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
61.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
61.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
61.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
61.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
61.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
61.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
61.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
61.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
61.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
61.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
60.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
60.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
60.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
60.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
60.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
60.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
60.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
60.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
60.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
60.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
60.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
60.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
59.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
59.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
59.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
59.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
59.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
59.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
59.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
59.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
59.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
59.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
59.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
59.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
59.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
59.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
59.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
59.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
58.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
58.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
58.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
58.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
58.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
58.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
58.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
58.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
58.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
58.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
58.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
58.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
58.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
58.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
58.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
58.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
58.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
58.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
57.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
57.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
57.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
57.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
57.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
57.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
57.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
57.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
57.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
57.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
57.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
56.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
56.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
56.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
56.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
56.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
56.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
56.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
56.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
56.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
56.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
56.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
56.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
56.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
56.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
55.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
55.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
55.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
55.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
55.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
55.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
55.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
55.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
55.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
55.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
55.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
55.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
55.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
54.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
54.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
54.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
54.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
54.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
54.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
54.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
54.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
54.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
54.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
54.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
54.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
54.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
54.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
53.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
53.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
53.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
53.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
53.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
53.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
53.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
53.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
53.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
53.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
53.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
52.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
52.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
52.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
52.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
52.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
52.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
52.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
52.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
52.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
52.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
52.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
52.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
52.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
52.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
52.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
52.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
51.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
51.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
51.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
51.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
51.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
51.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
51.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
51.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
51.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
51.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
51.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
51.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
51.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
51.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
50.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
50.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
50.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
50.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
50.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
50.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
50.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
50.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
50.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
50.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
50.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
50.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
50.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
50.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
50.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
50.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
50.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
49.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
49.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
49.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
49.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
49.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
49.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
49.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
49.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
49.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
49.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
49.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
49.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
49.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
48.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
48.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
48.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
48.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
48.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
48.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
48.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
47.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
47.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
47.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
47.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
47.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
47.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
47.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
47.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
47.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
46.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
46.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
46.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
46.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
46.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
46.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
46.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
46.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
46.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
46.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
46.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
46.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
46.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
46.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
46.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
46.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
45.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
45.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
45.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
45.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
45.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
45.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
45.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
45.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
45.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
45.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
45.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
44.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
44.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
44.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
44.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
44.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
44.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
44.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
44.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
44.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
44.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
44.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
44.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
43.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
43.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
43.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
43.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
43.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
43.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
43.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
43.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
43.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
43.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
43.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
43.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
43.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
42.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
42.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
42.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
42.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
42.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
42.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
42.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
42.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
42.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
41.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
41.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
41.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
41.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
41.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
41.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
41.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
41.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
41.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
40.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
40.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
40.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
40.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
40.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
40.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
40.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
39.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
39.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
39.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
39.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
39.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
39.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
39.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
39.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
39.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
39.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
38.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
38.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
38.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
38.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
37.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
37.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
37.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
37.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
37.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
37.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
37.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
37.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
37.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
37.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
37.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
37.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
36.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
36.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
36.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
35.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
35.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
35.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
35.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
35.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
35.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
35.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
35.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
33.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
33.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
33.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
32.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
28.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
27.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
27.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
25.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
25.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
23.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
19.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
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.
UBE2A 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
61.8
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
138.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
136.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
134.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
128.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
103.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
101.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
99.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
95.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
95.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
90.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
84.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
83.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
83.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
83.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
83.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
82.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
82.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
81.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
80.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
80.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
79.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
78.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
78.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
76.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
76.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
75.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
74.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
73.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
71.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
70.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
70.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
70.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
69.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
67.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
66.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
64.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
64.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
63.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
63.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
61.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
61.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
59.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
59.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
57.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
54.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
53.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
53.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
53.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
53.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
51.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
50.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
50.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
49.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
49.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
48.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
48.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
48.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
47.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
47.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
47.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
47.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
46.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
46.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
45.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
45.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
43.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
42.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
42.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
41.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
41.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
41.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
38.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
37.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
37.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
37.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
36.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
35.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
35.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
35.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
32.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
32.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
30.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
29.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
28.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
25.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
23.2
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.
UBE2A 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
53.0
Number of samples
207
Samples
Sample
Description
TPM
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
120.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
104.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
91.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
82.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
82.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
82.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
82.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
79.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
78.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
77.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
77.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
76.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
76.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
75.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
75.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
74.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
74.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
73.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
73.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
73.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
72.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
72.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
72.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
72.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
71.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
71.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
71.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
71.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
71.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
70.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
69.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
68.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
68.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
67.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
66.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
65.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
65.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
65.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
65.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
64.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
64.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
63.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
63.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
62.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
62.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
62.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
62.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
61.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
61.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
61.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
61.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
61.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
60.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
59.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
59.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
59.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
59.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
59.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
59.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
59.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
58.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
58.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
58.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
58.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
58.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
58.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
57.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
57.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
57.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
57.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
57.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
57.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
57.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
57.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
57.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
57.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
56.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
56.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
56.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
56.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
56.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
55.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
55.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
55.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
55.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
55.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
54.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
54.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
54.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
54.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
54.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
53.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
53.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
53.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
53.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
52.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
52.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
52.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
52.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
51.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
51.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
51.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
51.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
51.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
51.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
51.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
51.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
51.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
51.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
50.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
50.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
50.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
49.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
49.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
49.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
49.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
49.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
48.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
48.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
48.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
48.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
48.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
48.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
47.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
47.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
47.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
47.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
47.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
47.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
47.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
46.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
46.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
46.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
46.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
46.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
46.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
46.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
45.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
45.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
45.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
45.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
45.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
45.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
45.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
44.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
44.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
44.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
44.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
44.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
44.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
44.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
43.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
43.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
43.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
43.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
43.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
43.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
43.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
42.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
42.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
42.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
41.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
41.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
41.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
40.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
40.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
40.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
40.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
40.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
40.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
40.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
40.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
40.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
39.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
39.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
38.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
38.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
38.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
37.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
37.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
36.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
36.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
36.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
36.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
35.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
34.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
34.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
34.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
33.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
33.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
32.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
32.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
31.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
27.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
27.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
27.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
24.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
24.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2400046-1d25-429d-a821-6040a6
Tumor
1.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.6
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.7
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.8
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.9
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
