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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.
UBA2 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
62.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
130.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
127.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
125.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
115.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
108.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
106.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
103.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
101.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
101.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
100.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
99.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
99.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
97.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
96.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
95.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
95.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
93.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
93.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
93.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
92.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
91.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
90.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
89.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
89.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
88.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
88.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
87.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
87.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
87.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
86.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
86.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
85.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
85.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
85.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
85.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
85.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
85.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
85.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
85.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
84.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
84.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
84.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
84.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
83.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
83.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
83.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
82.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
81.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
81.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
81.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
81.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
80.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
80.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
80.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
79.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
79.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
79.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
79.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
79.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
77.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
76.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
75.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
75.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
74.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
74.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
73.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
72.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
72.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
72.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
72.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
72.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
71.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
71.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
71.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
71.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
71.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
71.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
70.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
70.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
70.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
69.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
69.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
69.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
68.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
68.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
68.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
68.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
68.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
68.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
68.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
68.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
67.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
67.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
67.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
67.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
66.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
66.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
66.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
66.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
65.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
65.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
64.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
64.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
64.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
64.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
63.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
63.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
63.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
62.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
62.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
62.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
62.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
61.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
61.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
61.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
60.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
60.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
60.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
60.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
60.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
60.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
60.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
60.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
60.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
59.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
58.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
58.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
58.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
58.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
58.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
57.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
57.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
57.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
57.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
57.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
57.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
57.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
57.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
57.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
56.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
56.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
56.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
56.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
56.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
56.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
56.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
56.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
55.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
55.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
55.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
55.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
55.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
55.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
55.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
54.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
54.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
54.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
54.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
54.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
53.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
53.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
53.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
53.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
53.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
53.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
52.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
52.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
52.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
52.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
52.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
52.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
52.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
51.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
51.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
51.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
50.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
50.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
49.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
49.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
49.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
49.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
49.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
49.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
48.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
48.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
48.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
48.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
48.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
48.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
47.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
46.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
46.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
46.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
46.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
46.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
46.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
46.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
46.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
46.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
46.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
46.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
46.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
45.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
45.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
45.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
45.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
45.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
44.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
44.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
44.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
44.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
44.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
43.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
43.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
43.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
43.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
43.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
43.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
43.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
43.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
42.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
42.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
42.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
40.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
40.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
40.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
39.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
39.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
39.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
38.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
38.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
38.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
38.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
38.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
37.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
36.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
35.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
35.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
35.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
35.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
34.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
31.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
31.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
31.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
31.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
30.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
29.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
29.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
27.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
26.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
22.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
21.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
21.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 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.
UBA2 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
36.7
Number of samples
486
Samples
Sample
Description
TPM
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
85.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
79.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
78.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
78.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
75.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
71.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
70.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
67.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
66.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
65.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
64.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
62.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
61.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
60.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
60.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
59.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
59.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
58.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
58.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
58.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
58.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
57.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
57.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
56.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
56.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
56.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
56.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
55.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
55.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
55.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
55.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
54.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
54.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
54.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
54.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
53.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
52.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
52.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
52.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
51.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
51.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
51.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
51.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
51.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
51.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
50.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
50.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
50.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
50.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
50.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
50.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
50.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
49.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
49.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
49.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
49.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
49.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
49.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
48.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
48.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
48.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
48.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
48.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
48.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
48.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
47.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
47.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
47.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
47.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
47.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
47.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
47.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
47.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
47.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
47.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
46.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
46.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
46.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
46.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
46.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
46.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
46.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
46.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
45.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
45.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
45.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
45.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
45.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
45.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
45.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
45.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
45.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
44.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
44.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
44.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
44.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
44.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
44.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
44.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
44.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
44.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
44.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
44.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
43.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
43.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
43.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
43.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
43.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
43.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
43.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
43.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
43.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
43.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
43.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
43.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
42.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
42.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
42.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
42.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
42.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
42.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
42.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
42.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
42.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
42.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
42.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
41.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
41.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
41.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
41.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
41.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
41.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
41.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
41.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
41.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
41.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
40.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
40.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
40.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
40.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
40.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
40.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
40.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
40.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
40.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
40.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
40.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
40.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
40.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
40.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
40.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
40.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
40.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
39.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
39.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
39.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
39.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
39.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
39.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
39.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
39.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
39.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
39.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
39.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
39.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
39.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
39.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
39.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
39.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
39.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
38.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
38.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
38.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
38.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
38.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
38.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
38.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
38.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
38.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
38.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
38.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
38.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
38.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
38.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
38.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
38.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
38.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
38.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
38.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
37.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
37.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
37.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
37.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
37.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
37.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
37.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
37.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
37.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
37.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
37.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
37.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
37.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
37.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
37.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
37.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
37.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
37.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
37.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
37.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
37.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
37.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
36.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
36.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
36.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
36.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
36.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
36.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
36.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
36.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
36.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
36.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
36.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
36.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
36.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
36.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
36.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
36.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
36.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
36.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
36.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
35.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
35.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
35.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
35.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
35.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
35.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
35.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
35.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
35.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
35.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
35.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
35.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
35.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
35.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
35.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
35.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
35.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
35.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
35.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
35.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
35.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
35.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
35.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
35.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
35.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
35.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
34.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
34.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
34.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
34.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
34.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
34.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
34.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
34.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
34.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
34.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
34.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
34.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
34.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
34.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
34.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
34.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
33.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
33.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
33.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
33.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
33.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
33.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
33.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
33.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
33.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
33.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
33.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
33.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
33.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
33.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
33.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
33.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
33.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
33.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
33.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
33.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
33.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
32.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
32.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
32.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
32.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
32.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
32.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
32.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
32.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
32.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
32.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
32.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
32.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
32.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
32.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
32.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
32.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
32.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
32.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
32.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
31.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
31.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
31.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
31.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
31.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
31.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
31.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
31.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
31.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
31.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
31.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
31.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
31.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
31.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
31.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
31.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
31.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
30.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
30.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
30.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
30.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
30.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
30.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
30.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
30.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
30.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
30.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
30.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
30.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
30.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
30.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
29.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
29.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
29.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
29.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
29.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
29.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
29.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
29.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
29.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
29.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
29.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
29.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
29.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
29.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
29.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
29.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
29.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
29.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
28.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
28.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
28.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
28.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
28.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
28.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
28.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
28.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
28.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
28.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
28.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
28.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
28.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
28.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
27.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
27.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
27.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
27.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
27.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
27.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
27.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
27.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
27.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
27.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
27.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
27.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
27.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
27.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
27.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
27.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
26.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
26.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
26.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
26.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
26.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
26.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
26.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
26.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
26.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
26.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
26.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
26.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
26.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
26.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
26.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
25.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
25.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
25.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
25.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
25.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
25.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
25.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
25.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
25.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
25.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
25.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
25.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
25.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
25.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
24.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
24.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
24.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
24.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
24.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
24.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
24.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
24.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
24.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
24.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
23.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
23.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
23.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
23.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
23.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
23.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
23.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
23.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
23.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
23.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
22.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
22.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
22.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
22.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
22.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
22.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
22.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
22.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
22.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
21.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
21.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
21.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
21.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
21.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
21.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
21.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
21.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
20.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
20.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
20.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
20.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
19.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
19.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
19.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
19.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
18.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
18.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
18.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
16.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
16.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
14.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
14.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.3
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.
UBA2 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
68.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
188.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
118.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
114.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
111.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
110.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
100.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
98.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
98.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
95.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
94.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
92.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
90.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
89.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
88.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
86.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
86.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
85.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
84.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
84.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
82.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
82.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
81.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
80.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
79.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
78.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
75.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
73.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
72.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
72.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
71.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
70.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
70.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
69.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
69.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
68.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
68.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
67.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
67.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
67.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
66.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
66.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
66.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
65.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
64.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
64.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
64.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
63.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
63.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
63.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
63.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
61.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
61.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
60.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
60.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
60.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
59.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
59.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
59.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
58.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
58.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
57.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
57.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
57.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
56.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
56.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
56.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
56.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
55.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
54.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
54.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
54.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
54.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
53.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
53.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
53.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
53.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
49.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
49.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
45.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
45.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
45.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
43.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
43.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
42.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
40.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
31.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
13.2
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.
UBA2 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
44.0
Number of samples
207
Samples
Sample
Description
TPM
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
1637.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
210.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
95.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
75.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
67.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
64.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
63.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
62.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
60.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
55.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
55.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
54.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
52.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
52.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
49.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
49.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
49.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
48.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
47.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
47.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
47.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
46.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
46.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
46.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
45.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
45.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
45.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
45.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
45.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
45.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
45.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
45.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
45.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
45.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
44.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
44.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
44.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
43.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
43.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
43.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
42.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
42.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
42.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
41.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
41.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
41.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
41.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
40.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
40.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
40.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
40.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
40.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
40.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
40.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
40.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
39.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
39.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
39.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
39.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
39.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
39.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
39.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
39.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
39.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
39.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
39.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
38.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
38.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
38.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
38.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
38.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
38.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
38.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
37.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
37.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
37.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
37.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
37.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
37.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
36.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
36.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
36.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
36.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
36.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
36.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
36.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
36.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
36.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
35.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
35.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
35.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
35.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
35.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
35.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
35.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
35.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
35.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
34.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
34.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
34.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
34.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
34.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
33.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
33.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
33.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
33.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
33.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
33.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
33.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
32.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
32.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
32.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
32.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
32.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
32.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
32.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
32.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
32.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
32.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
32.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
32.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
31.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
31.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
31.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
31.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
31.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
31.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
30.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
30.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
30.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
30.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
30.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
29.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
29.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
29.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
29.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
29.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
29.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
29.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
29.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
28.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
28.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
28.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
28.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
28.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
28.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
28.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
28.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
28.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
28.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
27.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
27.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
27.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
27.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
27.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
27.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
27.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
27.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
27.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
26.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
26.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
26.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
26.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
26.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
26.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
25.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
25.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
25.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
25.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
25.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
25.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
25.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
25.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
25.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
25.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
25.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
24.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
24.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
24.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
23.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
23.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
23.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
23.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
22.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
22.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
22.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
22.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
21.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
21.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
21.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
20.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
20.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
19.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
18.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
18.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
17.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.9
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.9
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.6
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
