Novel Circulating MicroRNA Signature as A Potential Diagnostic Biomarker for Detecting Breast Cancer in The Early Stage

سال انتشار: 1398
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 353

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شناسه ملی سند علمی:

RROYAN20_035

تاریخ نمایه سازی: 29 مهر 1398

چکیده مقاله:

Background: The routine screening for breast cancer (BC) de-pends primarily on imaging techniques such as mammography, although it is not often sensitive enough for early detection and requires complementary approaches. The discovery of micro-RNAs (miRNA) has opened a new window for tumor diagno-sis. miRNAs are a class of small noncoding RNAs that control gene expression by targeting mRNAs. The aberrant expression is involved in human disease, including breast cancer. The aim of this study was to identify novel biomarkers of circulating miRNAs for detecting BC in early stages.Materials and Methods: We analyzed the data of miRNAs expression related to 778 patients diagnosed with breast can-cer and, 87 control samples, and 5239 healthy and unhealthy samples regarding 13 different types of cancer from The Can-cer Genome Atlas (TCGA) database. Twenty-two candidate miRNAs were identified that could distinguish individuals with breast cancer from normal ones based on two bioinformatics approaches: Machin learning and deferentially expression. We used quantitative real-time polymerase chain reaction (qRT-PCR) to validate miRNAs expression levels, in whole blood samples from 71 breast cancer patients and 61 healthy controls. Results: In this study, we demonstrated that three miRNAs have different expressions in the whole blood of breast cancer patients and non-cancer controls. We used a combination of ex-pressions level of 15 microRNA and 11 life style attributes from demographic data of breast cancer patients and control group. This combination was found to be able to detect breast cancer with AUC: 0.831 in the ROC curve analysis.Conclusion: These findings suggest that assessment of miR-NAs in blood samples can be applied as minimally non-inva-sive markers for early detection of breast cancer.

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نویسندگان

M AHMADI

Department of Genetics, University of Science and Culture, ACECR,Tehran, Iran . Department of Genetics, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran

H Sadeghi

Department of Genetics, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran

A Kamal

Department of Clinical Bioinformatics, Saarland University, Saarbr ¨ ucken, Germany

B Shayesteh Pour

Department of Genetics, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran