Publication: Endometrial cancer risk prediction including serum-based biomarkers: results from the EPIC cohort.
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Date
2017
Authors
Fortner, Renée T
Hüsing, Anika
Kühn, Tilman
Konar, Meric
Overvad, Kim
Tjønneland, Anne
Hansen, Louise
Boutron-Ruault, Marie-Christine
Severi, Gianluca
Fournier, Agnès
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Abstract
Endometrial cancer risk prediction models including lifestyle, anthropometric and reproductive factors have limited discrimination. Adding biomarker data to these models may improve predictive capacity; to our knowledge, this has not been investigated for endometrial cancer. Using a nested case-control study within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, we investigated the improvement in discrimination gained by adding serum biomarker concentrations to risk estimates derived from an existing risk prediction model based on epidemiologic factors. Serum concentrations of sex steroid hormones, metabolic markers, growth factors, adipokines and cytokines were evaluated in a step-wise backward selection process; biomarkers were retained at p
Description
MeSH Terms
Adult
Aged
Biomarkers, Tumor
Blood Glucose
Blood Proteins
Case-Control Studies
Comorbidity
Cytokines
Endometrial Neoplasms
Europe
Female
Follow-Up Studies
Hormones
Humans
Incidence
Inflammation
Lipids
Metabolic Syndrome
Middle Aged
Risk
Risk Assessment
Single-Blind Method
Surveys and Questionnaires
Aged
Biomarkers, Tumor
Blood Glucose
Blood Proteins
Case-Control Studies
Comorbidity
Cytokines
Endometrial Neoplasms
Europe
Female
Follow-Up Studies
Hormones
Humans
Incidence
Inflammation
Lipids
Metabolic Syndrome
Middle Aged
Risk
Risk Assessment
Single-Blind Method
Surveys and Questionnaires
DeCS Terms
CIE Terms
Keywords
adipokines, cytokines, endometrial cancer, growth factors, inflammatory markers, lipids, metabolic markers, prospective cohort, risk prediction, sex steroids