Gene expression profiling of whole-blood samples from women exposed to hormone replacement therapy

Molecular Cancer Therapeutics
Vanessa DumeauxEiliv Lund

Abstract

The American Women's Health Initiative study published in July 2002 caused considerable concern among hormone replacement therapy (HRT) users and prescribers in many countries. This study is an exploratory research comparing the genome-wide expression profile in whole-blood samples according to HRT use. Within the Norwegian Women and Cancer study, 100 postmenopausal women (50 HRT users and 50 non-HRT users) born between 1943 and 1949 with normal to high body mass index and no other medication use were selected. After total RNA extraction, amplification, and labeling, the samples were hybridized together with a common reference (Universal human reference RNA, Stratagen) to Agilent Human 1A oligoarrays (G4110b, Agilent Technologies) containing 20,173 unique genes. Differentially expressed genes were used to build a classifier using the nearest shrunken centroid method (PAM). Then, we tested the significant changes in single genes by different methods like t test, Significance Analysis of Microarrays, and Bayesian ANOVA analysis. Results did not reveal any distinct gene list which predicted accurately HRT exposure (error rate, 0.40). Classifier performance slightly improved (error rate, 0.26) including only women who were using co...Continue Reading

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Citations

Nov 8, 2007·Rejuvenation Research·Eija PöllänenVuokko Kovanen
Mar 20, 2010·PLoS Genetics·Vanessa DumeauxEiliv Lund
Mar 13, 2014·PloS One·Sieneke LabruijereAntoinette MaassenVanDenBrink
Feb 1, 2008·Biomarkers in Medicine·Vanessa DumeauxAnne-Lise Børresen-Dale
Aug 13, 2009·Expert Review of Anticancer Therapy·Anders LönneborgAnne-Lise Børresen-Dale
Jul 13, 2018·Frontiers in Pharmacology·Lisa M FleischerGregory M Miller
Nov 8, 2008·Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology·Eiliv Lund, Vanessa Dumeaux
Oct 23, 2018·Annals of Statistics·Wenliang PanHeping Zhang

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