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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.
UBXN4 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
51.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
112.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
107.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
100.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
99.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
89.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
89.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
87.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
85.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
84.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
84.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
83.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
82.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
81.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
80.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
79.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
79.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
79.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
79.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
77.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
77.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
75.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
75.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
75.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
74.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
74.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
73.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
73.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
73.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
72.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
72.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
71.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
71.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
70.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
70.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
70.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
70.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
70.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
69.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
69.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
69.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
67.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
67.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
66.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
66.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
66.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
65.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
65.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
65.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
65.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
65.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
64.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
64.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
64.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
64.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
64.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
64.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
64.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
63.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
63.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
63.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
63.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
62.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
62.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
62.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
61.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
61.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
61.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
61.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
61.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
60.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
60.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
60.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
60.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
60.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
60.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
60.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
60.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
59.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
59.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
59.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
58.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
58.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
58.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
58.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
58.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
58.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
57.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
57.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
57.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
56.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
56.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
56.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
56.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
56.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
56.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
56.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
56.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
56.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
55.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
55.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
55.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
54.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
54.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
54.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
53.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
53.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
53.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
52.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
52.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
52.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
52.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
52.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
52.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
51.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
51.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
51.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
51.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
51.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
51.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
51.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
51.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
51.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
50.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
50.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
50.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
50.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
49.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
49.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
49.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
49.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
48.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
48.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
48.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
48.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
48.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
48.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
48.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
48.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
48.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
47.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
47.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
47.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
47.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
47.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
47.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
47.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
47.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
47.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
46.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
46.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
46.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
46.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
46.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
45.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
45.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
45.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
45.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
44.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
44.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
44.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
44.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
44.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
44.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
44.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
43.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
43.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
43.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
43.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
42.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
42.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
42.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
42.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
42.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
41.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
41.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
41.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
41.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
41.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
41.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
41.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
41.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
41.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
41.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
40.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
40.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
40.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
40.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
40.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
40.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
40.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
39.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
39.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
39.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
38.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
38.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
38.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
37.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
37.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
37.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
37.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
37.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
37.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
37.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
37.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
36.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
36.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
36.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
36.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
36.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
35.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
35.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
35.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
35.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
35.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
34.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
33.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
33.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
33.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
33.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
33.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
32.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
32.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
32.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
32.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
32.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
32.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
32.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
31.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
31.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
30.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
30.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
29.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
29.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
28.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
28.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
27.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
26.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
24.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
24.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
23.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
23.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
22.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
22.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
21.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
21.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
20.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
19.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
18.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
18.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
18.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
17.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
17.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
15.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
UBXN4 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
57.2
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
101.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
98.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
98.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
97.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
93.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
92.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
90.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
86.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
85.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
85.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
84.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
84.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
83.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
83.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
81.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
81.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
81.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
80.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
80.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
80.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
80.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
79.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
79.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
79.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
79.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
79.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
79.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
78.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
78.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
78.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
78.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
78.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
78.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
78.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
78.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
77.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
77.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
77.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
76.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
76.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
76.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
76.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
76.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
74.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
74.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
74.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
74.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
73.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
73.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
73.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
73.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
73.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
72.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
72.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
72.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
72.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
72.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
71.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
71.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
71.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
71.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
71.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
70.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
70.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
70.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
70.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
70.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
70.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
70.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
70.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
70.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
70.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
70.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
69.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
69.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
69.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
69.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
69.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
69.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
68.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
68.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
68.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
68.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
68.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
68.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
68.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
68.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
68.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
68.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
68.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
67.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
67.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
67.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
67.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
67.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
67.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
67.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
66.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
66.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
66.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
66.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
66.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
66.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
66.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
66.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
66.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
66.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
66.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
66.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
66.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
66.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
66.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
66.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
66.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
65.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
65.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
65.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
65.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
65.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
65.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
65.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
65.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
65.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
65.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
65.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
64.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
64.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
64.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
64.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
64.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
64.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
64.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
64.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
64.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
64.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
64.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
63.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
63.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
63.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
63.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
63.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
63.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
63.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
63.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
63.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
63.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
62.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
62.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
62.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
62.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
62.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
62.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
62.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
62.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
62.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
62.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
62.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
62.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
62.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
62.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
61.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
61.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
61.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
61.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
61.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
61.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
61.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
61.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
61.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
61.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
61.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
61.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
61.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
61.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
61.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
60.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
60.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
60.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
60.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
60.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
60.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
60.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
60.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
60.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
59.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
59.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
59.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
59.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
59.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
59.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
59.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
59.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
59.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
59.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
59.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
59.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
58.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
58.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
58.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
58.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
58.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
58.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
58.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
58.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
58.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
58.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
58.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
57.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
57.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
57.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
57.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
57.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
57.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
57.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
57.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
57.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
57.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
57.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
57.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
56.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
56.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
56.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
56.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
56.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
56.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
56.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
56.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
56.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
56.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
56.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
56.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
56.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
56.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
56.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
56.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
56.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
55.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
55.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
55.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
55.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
55.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
55.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
55.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
55.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
55.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
55.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
55.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
55.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
55.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
55.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
55.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
55.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
55.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
55.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
55.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
54.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
54.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
54.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
54.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
54.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
54.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
54.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
54.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
54.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
54.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
54.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
54.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
54.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
54.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
54.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
54.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
54.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
53.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
53.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
53.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
53.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
53.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
53.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
53.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
53.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
53.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
53.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
53.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
53.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
53.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
53.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
53.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
53.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
53.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
53.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
53.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
53.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
53.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
52.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
52.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
52.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
52.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
52.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
52.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
52.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
52.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
52.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
52.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
52.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
52.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
52.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
52.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
52.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
52.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
52.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
52.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
52.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
52.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
51.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
51.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
51.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
51.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
51.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
51.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
51.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
51.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
51.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
51.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
51.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
51.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
51.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
51.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
51.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
50.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
50.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
50.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
50.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
50.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
50.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
50.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
50.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
50.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
50.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
50.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
50.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
50.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
50.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
50.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
50.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
50.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
50.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
50.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
49.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
49.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
49.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
49.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
49.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
49.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
49.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
49.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
49.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
49.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
49.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
49.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
49.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
49.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
49.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
49.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
49.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
49.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
49.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
48.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
48.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
48.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
48.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
48.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
48.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
48.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
48.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
48.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
48.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
48.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
48.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
47.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
47.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
47.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
47.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
47.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
47.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
47.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
47.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
47.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
47.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
46.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
46.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
46.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
46.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
46.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
46.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
46.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
46.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
46.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
46.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
46.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
46.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
45.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
45.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
45.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
45.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
45.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
45.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
45.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
45.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
45.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
45.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
44.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
44.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
44.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
44.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
44.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
44.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
44.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
44.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
44.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
44.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
44.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
44.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
44.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
43.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
43.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
43.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
43.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
43.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
43.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
43.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
43.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
43.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
42.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
42.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
42.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
42.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
42.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
42.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
42.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
42.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
42.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
42.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
41.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
41.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
41.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
41.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
41.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
41.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
40.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
40.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
40.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
40.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
39.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
39.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
39.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
39.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
39.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
39.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
39.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
39.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
38.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
38.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
38.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
37.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
37.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
37.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
36.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
35.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
35.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
35.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
34.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
34.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
30.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
30.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
29.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
27.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.9
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.
UBXN4 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
52.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
103.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
97.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
93.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
89.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
86.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
81.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
80.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
78.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
78.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
77.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
73.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
72.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
71.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
71.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
69.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
68.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
68.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
66.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
65.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
65.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
64.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
62.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
62.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
61.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
61.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
61.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
61.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
60.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
57.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
56.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
56.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
56.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
56.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
55.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
55.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
55.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
55.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
54.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
54.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
53.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
53.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
52.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
52.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
51.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
51.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
50.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
50.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
50.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
49.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
48.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
48.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
47.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
47.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
47.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
47.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
46.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
46.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
46.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
46.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
45.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
45.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
44.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
44.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
43.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
42.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
42.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
42.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
42.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
41.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
41.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
41.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
39.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
38.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
38.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
37.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
35.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
35.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
34.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
33.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
33.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
23.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
23.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
23.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
14.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
12.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.7
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.
UBXN4 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
56.0
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
94.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
92.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
87.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
86.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
81.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
81.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
79.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
79.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
78.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
75.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
74.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
73.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
73.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
72.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
72.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
71.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
70.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
69.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
69.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
69.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
69.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
69.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
68.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
68.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
68.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
68.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
67.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
67.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
67.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
67.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
67.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
67.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
66.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
66.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
66.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
66.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
65.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
64.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
64.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
64.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
64.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
64.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
64.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
63.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
63.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
62.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
62.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
62.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
62.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
61.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
61.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
61.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
61.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
61.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
61.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
61.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
61.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
61.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
60.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
60.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
60.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
60.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
60.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
60.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
60.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
59.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
59.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
59.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
59.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
59.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
59.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
58.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
58.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
58.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
58.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
58.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
58.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
58.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
58.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
57.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
57.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
57.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
57.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
57.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
57.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
57.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
57.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
57.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
56.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
56.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
56.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
56.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
56.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
56.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
56.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
56.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
56.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
55.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
55.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
55.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
55.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
55.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
55.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
55.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
55.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
54.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
54.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
54.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
54.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
54.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
54.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
54.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
54.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
54.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
54.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
54.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
54.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
54.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
54.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
53.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
53.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
53.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
52.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
52.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
52.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
52.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
52.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
52.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
52.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
52.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
52.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
52.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
51.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
51.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
51.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
51.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
51.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
51.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
51.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
51.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
51.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
51.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
51.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
50.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
50.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
50.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
50.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
49.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
49.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
49.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
49.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
49.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
49.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
49.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
48.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
48.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
48.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
48.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
48.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
48.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
48.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
47.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
47.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
47.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
47.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
47.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
47.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
47.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
46.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
46.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
46.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
46.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
46.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
46.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
46.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
45.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
45.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
44.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
44.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
44.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
43.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
43.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
43.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
42.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
42.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
41.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
41.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
41.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
40.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
40.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
40.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
39.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
39.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
39.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
38.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
37.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
37.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
36.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
36.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
34.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
29.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
28.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
25.3
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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
0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-1.1
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
