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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.
UBAP2L is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
58.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
113.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
109.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
98.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
98.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
97.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
94.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
94.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
92.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
91.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
89.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
89.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
88.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
88.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
87.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
83.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
83.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
82.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
82.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
80.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
80.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
80.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
79.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
79.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
79.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
79.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
79.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
78.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
78.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
78.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
78.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
77.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
76.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
76.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
75.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
75.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
75.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
75.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
75.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
74.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
74.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
74.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
74.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
74.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
73.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
73.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
73.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
73.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
72.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
72.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
72.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
71.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
71.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
71.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
70.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
70.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
70.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
69.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
69.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
69.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
68.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
68.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
67.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
67.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
67.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
67.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
67.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
66.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
66.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
66.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
66.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
66.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
66.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
66.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
66.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
66.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
65.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
65.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
65.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
65.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
65.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
64.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
64.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
64.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
64.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
64.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
64.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
64.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
64.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
63.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
63.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
63.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
63.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
62.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
62.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
61.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
61.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
61.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
61.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
61.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
60.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
60.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
60.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
60.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
60.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
60.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
60.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
60.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
60.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
59.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
59.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
59.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
59.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
59.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
59.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
59.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
59.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
58.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
58.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
58.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
58.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
58.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
58.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
58.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
58.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
58.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
58.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
57.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
57.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
57.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
57.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
57.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
57.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
56.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
56.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
56.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
56.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
56.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
56.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
55.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
55.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
55.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
55.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
55.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
55.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
55.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
54.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
54.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
53.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
53.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
53.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
53.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
53.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
53.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
53.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
53.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
53.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
52.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
52.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
52.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
52.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
52.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
51.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
51.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
51.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
51.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
51.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
51.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
50.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
50.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
50.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
50.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
50.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
50.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
50.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
50.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
49.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
49.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
49.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
49.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
49.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
48.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
48.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
48.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
48.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
48.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
48.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
48.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
48.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
48.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
48.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
47.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
47.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
47.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
47.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
47.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
46.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
46.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
46.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
46.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
46.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
45.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
45.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
45.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
45.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
45.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
45.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
44.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
44.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
43.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
43.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
43.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
42.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
42.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
42.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
42.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
42.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
41.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
41.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
41.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
41.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
41.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
40.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
40.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
40.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
40.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
40.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
39.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
39.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
39.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
39.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
39.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
38.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
38.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
38.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
38.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
38.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
38.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
37.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
37.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
37.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
37.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
35.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
34.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
33.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
33.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
32.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
30.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
30.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
29.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
28.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
26.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
26.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
UBAP2L 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
88.7
Number of samples
486
Samples
Sample
Description
TPM
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
181.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
165.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
153.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
152.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
148.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
148.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
147.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
145.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
142.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
142.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
140.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
140.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
133.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
132.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
131.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
131.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
127.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
126.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
126.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
124.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
123.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
122.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
122.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
122.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
121.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
121.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
121.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
121.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
120.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
120.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
120.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
119.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
119.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
118.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
118.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
118.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
118.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
118.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
117.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
117.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
116.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
116.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
116.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
115.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
115.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
115.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
114.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
114.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
114.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
114.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
114.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
114.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
113.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
113.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
112.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
112.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
112.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
111.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
110.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
110.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
110.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
110.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
109.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
109.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
108.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
108.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
108.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
108.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
108.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
108.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
107.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
107.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
107.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
107.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
106.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
106.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
106.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
106.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
106.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
106.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
106.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
105.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
105.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
105.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
105.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
104.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
104.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
104.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
104.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
104.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
104.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
104.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
104.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
104.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
103.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
103.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
103.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
103.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
103.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
103.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
102.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
102.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
102.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
102.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
102.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
102.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
102.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
102.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
101.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
101.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
101.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
101.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
101.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
101.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
101.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
101.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
101.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
100.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
100.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
100.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
100.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
100.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
100.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
99.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
99.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
99.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
99.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
99.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
99.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
99.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
98.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
98.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
98.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
98.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
98.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
98.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
97.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
97.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
97.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
97.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
97.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
97.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
97.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
97.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
97.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
96.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
96.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
96.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
96.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
95.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
95.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
95.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
95.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
95.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
95.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
95.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
95.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
95.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
95.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
95.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
94.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
94.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
94.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
94.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
94.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
94.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
94.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
94.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
93.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
93.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
93.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
93.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
93.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
93.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
93.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
93.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
93.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
93.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
93.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
93.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
93.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
92.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
92.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
92.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
92.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
92.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
92.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
92.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
92.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
92.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
92.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
91.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
91.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
91.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
91.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
91.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
91.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
91.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
90.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
90.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
90.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
90.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
90.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
90.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
90.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
90.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
90.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
90.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
90.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
89.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
89.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
89.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
89.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
89.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
89.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
89.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
89.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
89.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
89.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
89.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
88.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
88.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
88.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
88.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
88.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
88.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
88.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
88.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
88.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
88.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
87.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
87.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
87.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
87.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
87.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
87.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
87.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
87.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
87.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
87.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
86.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
86.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
86.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
86.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
86.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
86.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
86.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
86.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
86.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
86.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
86.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
86.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
85.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
85.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
85.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
85.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
85.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
85.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
85.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
85.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
85.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
84.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
84.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
84.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
84.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
84.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
84.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
84.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
84.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
83.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
83.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
83.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
83.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
83.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
83.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
83.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
83.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
83.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
83.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
82.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
82.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
82.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
82.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
82.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
82.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
82.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
82.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
82.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
82.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
82.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
82.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
82.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
82.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
82.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
82.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
81.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
81.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
81.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
81.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
81.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
81.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
81.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
81.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
81.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
81.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
81.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
81.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
80.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
80.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
80.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
80.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
80.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
80.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
80.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
80.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
80.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
79.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
79.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
79.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
79.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
79.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
79.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
79.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
79.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
79.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
79.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
79.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
79.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
78.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
78.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
78.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
78.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
78.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
78.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
78.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
78.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
78.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
78.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
78.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
77.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
77.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
77.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
77.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
77.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
77.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
77.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
77.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
77.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
76.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
76.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
76.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
76.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
76.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
76.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
76.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
76.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
76.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
76.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
75.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
75.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
75.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
75.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
75.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
74.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
74.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
74.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
74.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
74.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
74.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
74.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
74.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
74.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
74.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
74.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
74.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
74.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
73.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
73.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
73.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
73.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
73.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
73.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
73.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
73.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
73.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
73.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
73.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
72.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
72.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
72.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
72.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
72.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
72.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
72.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
72.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
72.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
72.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
72.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
72.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
72.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
71.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
71.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
71.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
71.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
71.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
70.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
70.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
70.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
70.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
70.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
70.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
70.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
70.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
70.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
69.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
69.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
69.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
69.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
69.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
68.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
68.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
68.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
68.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
68.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
68.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
67.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
67.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
67.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
67.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
67.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
67.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
67.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
67.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
67.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
67.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
67.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
66.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
66.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
66.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
65.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
65.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
65.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
65.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
65.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
65.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
65.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
65.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
64.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
64.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
64.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
64.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
63.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
63.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
62.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
62.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
62.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
62.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
61.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
61.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
61.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
61.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
61.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
61.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
60.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
60.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
59.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
59.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
59.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
59.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
58.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
58.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
58.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
58.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
57.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
56.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
56.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
56.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
54.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
53.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
52.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
52.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
51.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
48.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
10.4
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.
UBAP2L 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
59.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
101.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
96.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
95.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
92.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
91.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
87.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
87.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
86.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
85.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
83.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
83.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
80.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
80.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
80.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
78.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
78.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
78.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
76.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
73.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
72.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
72.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
70.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
69.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
69.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
68.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
68.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
67.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
67.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
65.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
64.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
64.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
62.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
62.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
61.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
61.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
61.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
60.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
60.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
60.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
59.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
58.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
58.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
58.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
58.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
58.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
57.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
57.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
56.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
56.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
56.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
56.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
55.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
54.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
53.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
53.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
52.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
50.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
50.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
50.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
50.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
49.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
49.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
47.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
46.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
46.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
46.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
45.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
45.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
44.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
43.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
43.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
42.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
42.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
41.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
41.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
41.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
41.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
41.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
41.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
39.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
38.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
37.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
36.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
33.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
31.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
30.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
26.4
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.
UBAP2L 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
90.1
Number of samples
207
Samples
Sample
Description
TPM
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
155.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
142.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
136.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
135.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
134.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
132.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
129.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
128.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
128.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
126.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
125.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
124.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
123.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
120.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
120.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
117.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
116.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
116.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
115.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
115.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
114.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
114.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
114.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
113.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
111.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
111.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
111.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
110.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
110.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
110.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
109.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
109.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
108.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
108.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
107.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
106.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
106.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
106.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
106.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
105.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
105.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
103.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
103.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
102.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
102.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
102.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
102.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
102.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
102.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
101.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
100.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
99.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
99.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
99.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
99.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
99.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
99.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
99.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
98.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
98.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
98.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
98.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
97.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
97.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
97.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
97.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
96.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
96.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
96.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
96.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
96.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
95.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
95.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
95.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
95.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
94.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
94.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
94.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
94.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
94.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
93.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
93.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
92.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
92.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
91.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
91.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
91.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
91.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
91.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
91.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
91.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
90.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
90.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
90.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
90.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
88.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
88.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
88.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
88.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
88.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
87.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
87.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
87.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
87.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
87.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
87.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
86.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
86.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
86.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
86.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
86.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
86.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
86.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
86.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
85.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
85.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
85.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
84.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
84.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
84.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
84.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
84.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
83.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
83.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
83.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
82.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
82.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
82.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
82.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
82.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
82.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
81.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
81.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
81.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
80.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
80.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
80.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
80.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
79.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
79.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
79.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
79.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
79.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
78.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
78.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
78.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
78.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
78.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
78.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
77.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
77.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
77.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
77.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
77.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
77.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
77.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
77.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
76.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
76.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
76.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
76.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
76.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
76.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
75.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
75.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
75.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
75.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
75.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
75.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
74.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
74.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
74.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
74.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
73.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
73.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
73.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
73.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
72.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
72.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
72.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
72.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
72.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
72.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
71.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
70.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
70.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
70.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
70.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
70.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
69.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
68.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
68.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
68.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
68.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
66.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
65.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
64.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
64.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
62.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
62.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
61.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
61.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
61.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
58.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
58.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
54.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
23.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.8
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.6
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
