Author Interviews, Genetic Research, MD Anderson, Nature, Prostate Cancer / 01.03.2016
Gene Expression Profile Can Indicate Aggressive Prostate Cancer
MedicalResearch.com Interview with
Dr. Dingxiao Zhang Ph.D
Department of Epigenetics and Molecular Carcinogenesis
University of Texas MD Anderson Cancer Center
Smithville, TX 78957, USA
MedicalResearch.com: What is the background for this study? What are the main findings?
Dr. Zhang: Prostate cancer (PCa) is a heterogeneous malignancy harboring phenotypically and functionally diverse subpopulations of cancer cells. To better understand PCa cell heterogeneity, it is crucial to dissect the biology of normal prostate epithelial lineages. The background for the current study is to annotate the gene expression profiles of normal prostate epithelial cells, through which we hope to gain insight on Prostate cancer subtypes and the cellular heterogeneity in PCa. The prostate gland mainly contains basal and luminal cells constructed as a pseudostratified epithelium. Annotation of prostate epithelial transcriptomes provides a foundation for discoveries that can impact disease understanding and treatment. In this study, we have performed a genome-wide transcriptome analysis of human benign prostatic basal and luminal epithelial populations using deep RNA sequencing.
One of our major findings is that the differential gene expression profiles in basal versus luminal prostate epithelial cells account for their distinct functional properties. Specifically, basal cells preferentially express gene categories associated with stem cells, MYC-transcriptional program, neurogenesis, and ribosomal RNA (rRNA) biogenesis regulated by Pol I. Consistent with this profile, basal cells functionally exhibit intrinsic stem-like and neurogenic properties with enhanced rRNA transcription activity. Of clinical relevance, the basal cell gene expression profile is enriched in advanced, anaplastic, castration-resistant, and metastatic prostate cancers.
Therefore, we link the cell-type specific gene signatures to aggressive subtypes of prostate cancer and identify gene signatures associated with adverse clinical features.
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