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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.
EFTUD2 is potential prognostic, high expression is favorable 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
54.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
115.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
105.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
96.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
90.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
88.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
88.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
87.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
85.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
83.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
83.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
83.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
82.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
81.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
81.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
78.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
78.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
77.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
75.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
75.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
75.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
74.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
73.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
73.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
72.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
72.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
72.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
72.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
72.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
71.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
71.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
71.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
71.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
71.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
71.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
70.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
70.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
70.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
70.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
69.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
69.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
68.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
68.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
68.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
68.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
68.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
66.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
66.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
66.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
66.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
65.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
65.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
65.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
65.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
64.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
64.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
64.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
64.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
64.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
64.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
64.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
64.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
64.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
64.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
63.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
63.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
62.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
62.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
62.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
62.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
62.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
62.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
62.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
62.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
62.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
62.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
62.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
61.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
61.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
61.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
61.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
61.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
61.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
61.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
61.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
61.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
60.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
60.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
60.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
59.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
59.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
59.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
59.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
59.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
59.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
59.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
59.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
59.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
58.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
58.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
58.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
58.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
58.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
58.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
58.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
58.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
58.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
58.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
57.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
57.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
57.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
57.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
57.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
56.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
56.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
56.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
56.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
56.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
55.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
55.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
55.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
55.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
55.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
55.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
55.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
55.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
54.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
54.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
54.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
54.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
53.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
53.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
53.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
53.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
52.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
52.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
52.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
52.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
52.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
51.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
51.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
51.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
51.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
51.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
51.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
51.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
51.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
50.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
50.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
50.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
50.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
49.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
49.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
49.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
49.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
49.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
48.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
48.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
48.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
47.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
47.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
47.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
47.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
47.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
47.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
47.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
47.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
46.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
46.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
46.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
46.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
46.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
46.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
46.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
45.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
45.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
45.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
45.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
45.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
45.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
44.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
44.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
44.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
44.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
44.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
44.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
44.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
44.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
44.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
44.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
43.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
43.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
43.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
43.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
43.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
43.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
43.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
43.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
43.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
43.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
43.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
42.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
42.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
42.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
42.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
41.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
41.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
41.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
41.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
40.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
40.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
40.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
40.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
40.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
40.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
40.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
40.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
40.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
40.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
39.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
39.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
38.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
38.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
38.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
38.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
38.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
38.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
37.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
37.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
37.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
36.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
36.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
36.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
36.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
35.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
35.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
35.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
35.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
33.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
32.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
31.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
31.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
31.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
30.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
30.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
30.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
29.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
28.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
28.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
28.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
27.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
24.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
24.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EFTUD2 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
44.1
Number of samples
486
Samples
Sample
Description
TPM
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
89.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
85.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
81.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
80.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
79.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
78.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
78.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
77.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
75.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
74.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
74.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
73.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
73.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
72.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
72.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
72.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
71.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
71.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
70.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
70.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
70.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
70.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
68.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
68.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
67.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
67.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
65.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
65.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
64.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
64.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
64.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
64.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
64.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
64.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
64.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
64.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
63.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
63.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
63.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
62.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
62.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
62.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
61.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
61.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
60.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
60.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
60.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
58.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
58.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
58.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
58.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
58.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
57.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
57.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
57.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
57.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
57.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
57.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
56.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
56.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
56.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
56.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
56.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
56.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
55.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
55.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
55.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
55.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
55.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
55.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
55.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
55.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
55.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
55.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
55.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
55.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
54.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
54.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
54.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
54.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
54.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
54.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
54.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
54.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
54.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
54.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
54.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
53.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
53.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
53.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
53.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
53.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
53.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
53.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
52.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
52.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
52.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
52.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
52.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
52.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
52.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
52.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
52.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
52.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
52.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
52.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
51.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
51.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
51.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
51.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
51.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
51.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
51.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
51.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
51.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
51.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
51.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
51.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
50.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
50.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
50.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
50.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
50.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
50.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
50.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
50.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
50.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
50.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
50.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
50.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
49.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
49.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
49.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
49.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
49.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
49.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
49.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
49.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
49.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
49.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
49.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
49.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
49.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
49.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
48.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
48.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
48.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
48.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
48.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
48.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
48.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
48.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
48.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
48.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
48.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
48.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
48.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
48.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
48.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
48.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
48.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
48.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
48.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
47.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
47.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
47.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
47.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
47.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
47.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
47.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
47.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
47.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
47.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
47.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
47.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
46.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
46.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
46.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
46.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
46.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
46.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
46.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
46.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
46.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
46.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
46.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
46.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
46.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
45.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
45.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
45.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
45.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
45.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
45.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
45.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
45.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
45.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
45.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
45.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
45.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
45.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
45.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
45.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
45.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
45.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
45.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
45.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
45.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
44.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
44.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
44.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
44.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
44.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
44.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
44.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
44.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
44.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
44.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
44.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
44.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
44.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
44.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
44.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
43.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
43.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
43.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
43.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
43.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
43.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
43.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
43.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
43.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
43.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
43.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
43.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
43.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
43.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
43.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
43.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
43.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
42.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
42.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
42.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
42.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
42.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
42.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
42.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
42.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
42.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
42.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
42.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
42.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
42.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
42.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
42.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
42.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
42.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
42.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
41.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
41.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
41.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
41.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
41.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
41.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
41.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
41.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
41.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
41.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
41.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
41.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
41.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
41.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
41.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
41.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
41.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
41.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
41.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
41.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
41.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
41.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
41.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
41.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
40.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
40.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
40.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
40.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
40.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
40.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
40.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
40.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
40.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
40.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
40.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
40.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
40.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
40.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
40.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
39.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
39.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
39.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
39.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
39.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
39.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
39.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
39.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
39.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
39.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
39.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
39.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
39.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
39.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
39.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
39.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
38.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
38.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
38.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
38.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
38.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
38.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
38.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
38.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
38.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
38.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
38.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
38.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
38.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
38.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
37.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
37.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
37.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
37.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
37.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
37.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
37.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
37.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
37.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
37.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
37.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
37.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
37.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
37.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
36.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
36.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
36.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
36.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
36.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
36.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
36.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
36.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
36.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
36.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
36.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
35.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
35.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
35.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
35.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
35.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
35.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
35.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
35.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
35.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
35.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
35.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
35.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
35.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
35.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
35.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
34.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
34.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
34.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
34.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
34.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
34.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
34.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
34.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
34.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
33.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
33.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
33.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
33.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
33.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
33.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
33.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
33.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
33.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
33.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
33.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
33.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
32.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
32.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
32.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
32.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
32.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
32.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
32.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
32.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
32.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
32.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
32.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
32.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
32.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
31.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
31.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
31.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
31.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
31.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
31.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
31.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
31.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
31.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
30.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
30.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
30.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
30.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
30.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
30.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
30.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
29.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
29.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
29.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
29.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
29.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
29.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
28.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
28.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
28.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
28.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
28.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
28.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
28.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
28.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
28.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
28.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
27.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
27.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
27.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
26.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
26.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
25.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
25.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
25.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
25.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
25.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
25.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
25.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
25.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
25.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
24.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
24.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
24.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
24.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
23.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
23.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
23.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
22.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
22.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
21.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
21.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
21.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
18.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
18.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
16.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
12.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EFTUD2 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
50.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
150.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
106.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
85.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
81.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
74.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
70.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
69.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
68.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
67.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
67.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
66.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
64.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
64.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
63.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
63.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
62.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
62.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
61.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
61.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
61.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
60.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
60.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
60.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
58.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
57.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
57.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
56.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
56.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
56.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
54.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
54.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
53.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
53.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
53.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
53.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
52.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
52.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
52.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
51.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
51.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
50.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
50.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
50.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
49.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
49.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
48.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
48.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
48.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
47.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
47.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
47.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
46.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
46.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
46.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
45.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
44.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
44.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
44.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
44.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
44.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
43.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
42.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
41.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
41.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
41.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
41.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
40.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
39.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
38.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
37.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
37.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
37.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
36.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
34.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
34.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
33.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
33.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
30.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
30.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
28.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
27.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
27.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
26.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
26.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
24.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
22.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
14.1
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.
EFTUD2 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
38.2
Number of samples
207
Samples
Sample
Description
TPM
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
89.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
86.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
78.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
73.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
66.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
65.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
62.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
61.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
61.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
61.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
59.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
59.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
59.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
58.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
56.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
55.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
55.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
55.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
53.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
53.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
53.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
53.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
53.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
52.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
52.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
51.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
51.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
50.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
49.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
49.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
49.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
49.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
48.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
47.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
47.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
46.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
46.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
46.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
46.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
46.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
46.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
46.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
45.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
45.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
45.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
44.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
44.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
44.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
43.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
43.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
43.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
42.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
42.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
42.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
42.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
41.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
41.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
41.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
41.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
41.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
41.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
41.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
41.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
41.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
41.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
41.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
40.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
40.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
40.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
40.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
40.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
40.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
40.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
40.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
39.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
39.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
39.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
39.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
38.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
38.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
38.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
38.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
38.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
38.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
37.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
37.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
37.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
37.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
37.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
37.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
37.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
37.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
37.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
37.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
37.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
36.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
36.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
36.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
36.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
36.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
36.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
36.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
36.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
36.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
35.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
35.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
35.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
35.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
35.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
35.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
35.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
35.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
35.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
34.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
34.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
34.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
34.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
34.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
34.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
34.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
34.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
33.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
33.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
33.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
33.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
33.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
33.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
33.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
33.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
32.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
32.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
32.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
32.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
32.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
32.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
32.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
32.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
32.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
32.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
32.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
32.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
31.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
31.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
31.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
31.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
30.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
30.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
30.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
30.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
30.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
29.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
29.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
29.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
29.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
29.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
29.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
29.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
29.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
29.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
28.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
28.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
28.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
28.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
28.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
28.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
27.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
27.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
27.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
27.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
26.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
26.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
26.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
26.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
26.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
26.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
25.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
25.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
25.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
25.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
25.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
24.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
24.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
24.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
24.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
24.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
24.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
23.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
23.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
23.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
22.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
22.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
21.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
20.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
19.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
17.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
15.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.8
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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
0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
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.