The work this year involves two main projects. First, we used patients' methylation and gene expression data to develop panels of biomarkers that are predictive of prostate cancer recurrence risk. The proposed panel has better performance than the commonly used clinical biomarkers, such as PSA and Gleason score. Second, in collaboration with Dr. Stephanie London, we developed a panel of methylation biomarkers that are highly correlated to mother's smoking status during pregnancy. This panel of biomarkers is used to calculate a smoking score, which is showed to be more predictive of birth weight than the self-reported smoking status.

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1
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2015
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Indirect Cost
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U.S. National Inst of Environ Hlth Scis
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Valeri, Linda; Reese, Sarah L; Zhao, Shanshan et al. (2017) Misclassified exposure in epigenetic mediation analyses. Does DNA methylation mediate effects of smoking on birthweight? Epigenomics 9:253-265
Park, Yong-Moon Mark; O'Brien, Katie M; Zhao, Shanshan et al. (2017) Gestational diabetes mellitus may be associated with increased risk of breast cancer. Br J Cancer 116:960-963
Rubicz, Rohina; Zhao, Shanshan; Wright, Jonathan L et al. (2017) Gene expression panel predicts metastatic-lethal prostate cancer outcomes in men diagnosed with clinically localized prostate cancer. Mol Oncol 11:140-150
Geybels, Milan S; Wright, Jonathan L; Bibikova, Marina et al. (2016) Epigenetic signature of Gleason score and prostate cancer recurrence after radical prostatectomy. Clin Epigenetics 8:97
Schade, George R; Holt, Sarah K; Zhang, Xiaotun et al. (2016) Prostate Cancer Expression Profiles of Cytoplasmic ER?1 and Nuclear ER?2 are Associated with Poor Outcomes following Radical Prostatectomy. J Urol 195:1760-6
Rubicz, Rohina; Zhao, Shanshan; April, Craig et al. (2015) Expression of cell cycle-regulated genes and prostate cancer prognosis in a population-based cohort. Prostate 75:1354-62
Karyadi, Danielle M; Zhao, Shanshan; He, Qianchuan et al. (2015) Confirmation of genetic variants associated with lethal prostate cancer in a cohort of men from hereditary prostate cancer families. Int J Cancer 136:2166-71
Nelson, Jennifer C; Cook, Andrea J; Yu, Onchee et al. (2015) Methods for observational post-licensure medical product safety surveillance. Stat Methods Med Res 24:177-93
Stott-Miller, Marni; Zhao, Shanshan; Wright, Jonathan L et al. (2014) Validation study of genes with hypermethylated promoter regions associated with prostate cancer recurrence. Cancer Epidemiol Biomarkers Prev 23:1331-9