Author Description

This dissertation, "Evaluation of Role of Bioinformatics in Breast Cancer Management and Early Detection: a Systematic Review" by Jinghuan, Cai,, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Introduction: Breast cancer is one of the leading causes of death and early detection of breast cancer has been one of possible effective ways to reduce mortality rate and burden of disease. New approaches of breast cancer detection have been developed with the development of bioinformatics, which has provided a more sensitive and specific blood-based way for early diagnosis. However, the validity and reliability of using microRNAs as biomarkers in breast cancer early diagnosis still lack of systematically analysis to evaluate its effectiveness in clinical practice of early diagnosing breast cancer. Methods: A literature research has been conducted through multiple electronic sources, including PubMed, BioMed Central, Medline, Cochrane Liabary, and Google Scholar, with all combinations of keywords. A critical review is proposed among the selected case-control studies with the purpose of investigating the validity and utility of potential miRNAs as biomarker for breast cancer early diagnostics since 1993, when the first miRNAs was discovered. STROBE checklist was used to assess the effectiveness of the observational studies that were identified with the proposed inclusion and exclusion criteria. Results: Comparing the expressed levels of detected microRNAs in blood samples and conventional tumor biomarkers, relatively higher sensitivity and specificity of microRNAs than the tumor markers, CA15-3, CEA as biom