Title

Identification of microRNAs as new blood biomarkers to predict breast cancer recurrence

Author(s)

Lauren chen, DFHS

School Name

Dutch Fork High School

Grade Level

10th Grade

Presentation Topic

Cell and Molecular Biology

Presentation Type

Mentored

Oral Presentation Award

1st Place

Abstract

MicroRNAs (microRNAs) are short sequences of RNA (about 22 nucleotides) that are involved in the regulation of gene expression. Previous studies have suggested that a number of microRNAs are recognized as new biomarkers for cancers. The aim of this study is to identify specific microRNAs in serum, which may serve as potential diagnostic and prognostic biomarkers and therapeutic targets for breast cancer. Quantitative real-time PCR (qRT-PCR) array analyses of microRNAs in sera from four pairs of recurrent and nonrecurrent breast cancer patients were performed. Those differentially expressed microRNAs were verified in serum samples from 42 breast cancer patients. The prognostic values of the selected microRNAs were statistically analyzed, determined by the correlation between microRNA expression and tumor parameters. Three microRNAs (miR-134, miR-483-5p and miR-139-3p) in serum were identified as novel disease biomarkers and potential therapeutic targets for breast cancer. This is significant because current methods of detecting the recurrence of cancer, such as computed tomography (CT) scans and magnetic resonance imaging (MRI), are extremely expensive. If microRNAs in serum exosomes can be used for prognosis, then the process will become significantly more affordable.

Location

Neville theater

Start Date

4-14-2018 11:00 AM

Presentation Format

Oral and Written

COinS
 
Apr 14th, 11:00 AM

Identification of microRNAs as new blood biomarkers to predict breast cancer recurrence

Neville theater

MicroRNAs (microRNAs) are short sequences of RNA (about 22 nucleotides) that are involved in the regulation of gene expression. Previous studies have suggested that a number of microRNAs are recognized as new biomarkers for cancers. The aim of this study is to identify specific microRNAs in serum, which may serve as potential diagnostic and prognostic biomarkers and therapeutic targets for breast cancer. Quantitative real-time PCR (qRT-PCR) array analyses of microRNAs in sera from four pairs of recurrent and nonrecurrent breast cancer patients were performed. Those differentially expressed microRNAs were verified in serum samples from 42 breast cancer patients. The prognostic values of the selected microRNAs were statistically analyzed, determined by the correlation between microRNA expression and tumor parameters. Three microRNAs (miR-134, miR-483-5p and miR-139-3p) in serum were identified as novel disease biomarkers and potential therapeutic targets for breast cancer. This is significant because current methods of detecting the recurrence of cancer, such as computed tomography (CT) scans and magnetic resonance imaging (MRI), are extremely expensive. If microRNAs in serum exosomes can be used for prognosis, then the process will become significantly more affordable.