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Background <p>Triple negative breast cancer (TNBC) is an aggressive malignancy distinguished by resistance to standard breast cancer therapies. The absence of reliable prognostic tools hinders the ability to predict therapeutic response, resulting in some patients receiving treatment that is ineffective yet physically exhausting. miRNAs are small non-coding RNA molecules that regulate gene expression, and their dysregulated profiles in liquid biopsies hold immense potential as minimally invasive biomarkers for monitoring treatment response.</p> Results <p>In this study, we seek to identify miRNAs that may serve as predictive biomarkers for therapeutic responses in patients diagnosed with triple-negative breast cancer. To achieve this, an in silico analysis of the Cancer Genome Atlas (TCGA) dataset is conducted to narrow the list of candidate miRNAs. miRNAs with potential involvement in TNBC were selected for clinical validation in whole-blood samples of TNBC patients before and after therapy. The RT-qPCR-based expression analysis revealed significant predictive potential of <i>miR-340-5p</i>, <i>miR-1307-3p</i>, <i>miR-185-5p</i>, and <i>miR-30a-3p</i>.</p> Conclusions <p>Our study identified that dysregulated miRNA signatures can serve as independent indicators for therapeutic monitoring. Notably, the combined multi-miRNA expression panel offers a robust, superior predictive value for stratifying treatment response and tracking disease progression in TNBC patients.</p>

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Whole blood miRNA expression signatures as predictors of neoadjuvant chemotherapy response in triple-negative breast cancer

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月8日

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  • Monika Drobniene,
  • Domas Stitilis,
  • Linas Kunigenas,
  • Egle Strainiene,
  • Sonata Jarmalaite,
  • Kestutis Suziedelis

摘要

Background

Triple negative breast cancer (TNBC) is an aggressive malignancy distinguished by resistance to standard breast cancer therapies. The absence of reliable prognostic tools hinders the ability to predict therapeutic response, resulting in some patients receiving treatment that is ineffective yet physically exhausting. miRNAs are small non-coding RNA molecules that regulate gene expression, and their dysregulated profiles in liquid biopsies hold immense potential as minimally invasive biomarkers for monitoring treatment response.

Results

In this study, we seek to identify miRNAs that may serve as predictive biomarkers for therapeutic responses in patients diagnosed with triple-negative breast cancer. To achieve this, an in silico analysis of the Cancer Genome Atlas (TCGA) dataset is conducted to narrow the list of candidate miRNAs. miRNAs with potential involvement in TNBC were selected for clinical validation in whole-blood samples of TNBC patients before and after therapy. The RT-qPCR-based expression analysis revealed significant predictive potential of miR-340-5p, miR-1307-3p, miR-185-5p, and miR-30a-3p.

Conclusions

Our study identified that dysregulated miRNA signatures can serve as independent indicators for therapeutic monitoring. Notably, the combined multi-miRNA expression panel offers a robust, superior predictive value for stratifying treatment response and tracking disease progression in TNBC patients.