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Long Non-Coding RNAs in HER2-Positive Breast Cancer: From Resistance Mechanisms to Translational Potential
Thanh Hoa Vo1,2, Edel McNeela1,2, Orla O'Donnovan1,2
1Department of Science, South East Technological University, Waterford, Ireland.
Abstract:
Long non-coding RNAs (lncRNAs) have emerged as key regulators of drug resistance in human epidermal growth factor receptor 2 (HER2)-positive breast cancer, a subtype in which both intrinsic and acquired resistance to HER2-targeted therapies remain major clinical challenges. Although mechanistic studies have begun to reveal how lncRNAs modulate signaling pathways, interact with microRNAs, and influence the tumor microenvironment, dedicated investigations in HER2-positive disease are still limited. This review synthesizes current evidence across epigenetic, transcriptional, and post-transcriptional mechanisms of resistance, including competing endogenous RNA (ceRNA) networks, RNA-binding protein interactions, and exosome-mediated intercellular communication. Particular emphasis is given to resistance-associated lncRNAs such as HOX transcript antisense RNA (HOTAIR), long intergenic non-protein coding RNA 969 (LINC00969), and growth arrest-specific 5 (GAS5), which exemplify the diverse molecular strategies underlying therapy evasion. We further discuss the emerging translational potential of lncRNAs as liquid-biopsy biomarkers, therapeutic targets for antisense oligonucleotides or CRISPR-Cas13 platforms, and cargo for HER2-targeted exosome delivery. Integrating exosomal lncRNA profiling with circulating tumor DNA (ctDNA) monitoring could enable earlier detection of resistance and inform adaptive treatment strategies. By combining mechanistic insight with translational outlook, this review positions lncRNAs as promising yet underexplored contributors to HER2-positive breast cancer drug resistance and outlines a roadmap for advancing their clinical utility. The aim of this review is to synthesize current evidence on lncRNA-mediated resistance mechanisms in HER2-positive breast cancer and to highlight translational opportunities for lncRNA-based biomarkers and therapeutic strategies.
Insights
Long non-coding RNAs (lncRNAs) are key regulators of drug resistance in HER2-positive breast cancer. Understanding lncRNA mechanisms and translational potential offers new strategies for overcoming therapy evasion.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- HER2-positive breast cancer presents significant challenges due to intrinsic and acquired resistance to targeted therapies.
- Long non-coding RNAs (lncRNAs) are increasingly recognized as crucial regulators in cancer, including drug resistance.
- Specific investigations into lncRNA roles in HER2-positive breast cancer resistance are limited.
Purpose of the Study:
- To synthesize current evidence on lncRNA-mediated resistance mechanisms in HER2-positive breast cancer.
- To highlight the translational potential of lncRNAs as biomarkers and therapeutic targets.
- To provide a roadmap for advancing the clinical utility of lncRNAs in this disease.
Main Methods:
- Review of current literature on lncRNAs and drug resistance in HER2-positive breast cancer.
- Analysis of epigenetic, transcriptional, and post-transcriptional regulatory mechanisms.
- Emphasis on specific lncRNAs (HOTAIR, LINC00969, GAS5) and their roles.
Main Results:
- lncRNAs modulate signaling pathways, microRNA interactions, and the tumor microenvironment to drive resistance.
- ceRNA networks, RNA-binding protein interactions, and exosome-mediated communication are key mechanisms.
- Specific lncRNAs like HOTAIR, LINC00969, and GAS5 exemplify diverse resistance strategies.
Conclusions:
- lncRNAs are promising, yet underexplored, contributors to HER2-positive breast cancer drug resistance.
- Translational opportunities include lncRNAs as liquid-biopsy biomarkers and therapeutic targets (e.g., antisense oligonucleotides, CRISPR-Cas13).
- Integrating exosomal lncRNA profiling with ctDNA monitoring may enable earlier resistance detection and adaptive treatment strategies.
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