Kelli Bramlett of Thermo Fisher Scientific answers questions about her poster that was presented the 2015 American Society of Human Genetics annual meeting.

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Abstract
Forecasting clinical behavior and therapeutic response of human cancer currently utilizes a limited number of tumor markers in combination with characteristics of the patient and their disease. Although few tumor markers and molecular targets exist for evaluation, the wealth of information derived from recent sequencing advancements provides greater opportunities to develop more precise tests for diagnostics, prognostics, therapy selection and monitoring in the future. The objectives of this study are to study miRNA and mRNA expression profiles of laser capture microdissection -procured tumor cells and intact serial sections of breast tissue samples using next generation sequencing methods. Our hypothesis is that miRNA signatures discerned from specific tumor cell populations more precisely correlate with behavior than that provided by conventional biomarkers from intact tissue samples. Additionally, we hypothesize the data generated in this study will present mRNA signatures informative for breast tumor research and support our miRNA findings through suggesting relevant miRNA:mRNA target associations.

De-identified frozen research samples of primary invasive ductal tumors of known grade and biomarker status containing 35-70% tumor were selected from an IRB-approved Biorepository. Comparison of expressed miRNAs from intact tissue sections with those of cognate tumor cells procured by LCM revealed, in general, that smaller defined miRNA gene sets were expressed in LCM isolated populations of tumor cells. In addition to miRNA sequencing, targeted RNA sequencing with the Ion AmpliSeq™ Transcriptome Human Gene Expression Kit was used to capture mRNA expression information. Data presented here demonstrates high mapping rates for targeted mRNA and miRNA libraries. We also demonstrate high technical reproducibility between multiple libraries from the same tumor sample for both mRNA and miRNA libraries. We also report suggested miRNA:mRNA target associations identified in our set of breast tumor research samples. These data provide insights into breast cancer biology that may lead to new molecular diagnostics and targets for drug design in the future as well as an improved understanding of the molecular basis of clinical behavior and potential therapeutic response.

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