Integrative bioinformatics analysis reveals miR-494 and its target genes as predictive biomarkers of trastuzumab-resistant breast cancer

Integrative bioinformatics analysis reveals miR-494 and its target genes as predictive biomarkers of trastuzumab-resistant breast cancer

Abstract Background The focus of trastuzumab resistance biomarkers in recent decades has been on epigenetic and non-coding RNA-based mechanisms. In this study, the potential of miR-494 and its target genes as predictive biomarkers for breast cancer (BC) resistance to trastuzumab was identified. The...

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Bibliographic Details
Main Authors: Adam Hermawan, Herwandhani Putri
Format: Article
Language:English
Published: SpringerOpen 2020-04-01
Series:Journal of the Egyptian National Cancer Institute
Subjects:
miR-494
Chemoresistance
Trastuzumab
Bioinformatics
Predictive biomarker
Online Access:http://link.springer.com/article/10.1186/s43046-020-00028-2

Internet

http://link.springer.com/article/10.1186/s43046-020-00028-2

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