Identification and Validation of Circulating MicroRNA Signatures for Breast Cancer Early Detection Based on Large Scale Tissue-Derived Data

Xiaokang Yu; Jinsheng Liang; Jiarui Xu; Xingsong Li; Shan Xing; Huilan Liu; Wan-Li Liu; Dongdong Liu; Jianhua Xu; Lizhen Huang; Hongli Du

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자료유형: 학술저널

저자정보: Xiaokang Yu (South China University of Technology) Jinsheng Liang (South China University of Technology) Jiarui Xu (The Second Affiliated Hospital of Guangzhou University of Chinese Medicine) Xingsong Li (South China University of Technology) Shan Xing (Sun Yat-Sen University Cancer Center China) Huilan Liu (Guizhou University) Wan-Li Liu (Sun Yat-Sen University Cancer Center China) Dongdong Liu (The Second Affiliated Hospital of Guangzhou University of Chinese Medicine) Jianhua Xu (The Second Affiliated Hospital of Guangzhou University of Chinese Medicine) Lizhen Huang (South China University of Technology) Hongli Du (South China University of Technology China)

저널정보: 한국유방암학회 Journal of Breast Cancer Journal of Breast Cancer Vol.21 No.4

발행연도: 2018.1

수록면: 363 - 370 (8page)

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Purpose: Breast cancer is the most commonly occurring cancer among women worldwide, and therefore, improved approaches for its early detection are urgently needed. As microRNAs (miRNAs) are increasingly recognized as critical regulators in tumorigenesis and possess excellent stability in plasma, this study focused on using miRNAs to develop a method for identifying noninvasive biomarkers. Methods: To discover critical candidates, differential expression analysis was performed on tissue-originated miRNA profiles of 409 early breast cancer patients and 87 healthy controls from The Cancer Genome Atlas database. We selected candidates from the differentially expressed miRNAs and then evaluated every possible molecular signature formed by the candidates. The best signature was validated in independent serum samples from 113 early breast cancer patients and 47 healthy controls using reverse transcription quantitative real-time polymerase chain reaction. Results: The miRNA candidates in our method were revealed to be associated with breast cancer according to previous studies and showed potential as useful biomarkers. When validated in independent serum samples, the area under curve of the final miRNA signature (miR-21-3p, miR-21-5p, and miR-99a-5p) was 0.895. Diagnostic sensitivity and specificity were 97.9% and 73.5%, respectively. Conclusion: The present study established a novel and effective method to identify biomarkers for early breast cancer. And the method, is also suitable for other cancer types. Furthermore, a combination of three miRNAs was identified as a prospective biomarker for breast cancer early detection.

참고문헌 (30)

참고문헌 신청

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American Society of Clinical Oncology / 2007 / 2007 update of recommendations for the use of tumor markers in breast cancer / J Oncol Pract 3:336~339

Lin XJ / 2015 / A serum microRNA classifier for early detection of hepatocellular carcinoma: a multicentre, retrospective, longitudinal biomarker identification study with a nested case-control study / Lancet Oncol 16:804~815

Du M / 2015 / Circulating miR-497and miR-663b in plasma are potential novel biomarkers for bladder cancer / Sci Rep 5:10437

Mitchell PS / 2008 / Circulating microRNAs as stable blood-based markers for cancer detection / Proc Natl Acad Sci U S A 105:10513~10518

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