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Updated: May 29, 2026

MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method
Published on: October 7, 2025
miRNAs in lung cancer: large roles for small players
1The Translational Genomics Research Institute, Phoenix, AZ, USA.
Abstract:
miRNAs play an important role in the regulation of a wide assortment of cellular processes by sequestering target mRNAs and inhibiting translation of the proteins that they encode. Multiple miRNAs can regulate single mRNA molecules and, alternatively, a single miRNA can act on a number of mRNA targets. Dysfunctional miRNAs are commonly found in a variety of solid cancers and are attractive candidates for next-generation therapeutics. This article highlights miRNA signatures proposed for lung cancer classification and diagnosis, chemo- and radio-therapy resistance, metastasis and prediction of treatment outcome and survival.
Insights
MicroRNAs (miRNAs) regulate cellular processes and are implicated in cancer. This review covers miRNA signatures for lung cancer diagnosis, treatment resistance, and survival prediction.
Area of Science:
- Molecular Biology
- Genetics
- Oncology
Background:
- MicroRNAs (miRNAs) are crucial regulators of cellular processes by targeting messenger RNAs (mRNAs) for translational inhibition.
- Both single and multiple miRNAs can regulate individual or multiple mRNA targets, highlighting complex regulatory networks.
- Dysfunctional miRNAs are frequently observed in solid tumors, positioning them as promising targets for novel cancer therapies.
Purpose of the Study:
- To review and highlight microRNA (miRNA) signatures relevant to lung cancer.
- To explore the role of miRNAs in lung cancer classification, diagnosis, and predicting treatment response.
- To discuss the implications of miRNA signatures in understanding chemo- and radio-therapy resistance, metastasis, and patient survival outcomes.
Main Methods:
- Literature review and synthesis of existing research on miRNA signatures in lung cancer.
- Analysis of studies investigating the diagnostic and prognostic potential of specific miRNA profiles.
- Examination of data linking miRNA expression patterns to therapeutic resistance and metastatic potential.
Main Results:
- Specific miRNA signatures have been proposed for accurate lung cancer classification and early diagnosis.
- miRNA profiles can predict patient response to chemotherapy and radiotherapy, as well as resistance mechanisms.
- Aberrant miRNA expression is associated with lung cancer metastasis and can serve as a prognostic biomarker for survival.
Conclusions:
- MicroRNA signatures offer significant potential for advancing lung cancer diagnostics and prognostics.
- Targeting miRNA pathways represents a promising strategy for overcoming therapeutic resistance in lung cancer.
- Further research into miRNA signatures will likely improve personalized treatment approaches and patient outcomes in lung cancer.
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