Evidence map›Paper›PMID 42421142›Full record

ArticleHereditas2026

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

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

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Article in Hereditas, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Monika DrobnieneInstitute of Biosciences, Life Sciences Center, Vilnius University, Vilnius, Lithuania.
Domas StitilisDepartment of Chemistry and Bioengineering, Vilnius Gediminas Technical University, Vilnius, Lithuania.
Linas KunigenasLaboratory of Molecular Oncology, National Cancer Institute, Vilnius, Lithuania.
Egle StrainieneLaboratory of Molecular Oncology, National Cancer Institute, Vilnius, Lithuania. egle.strainiene@gmail.com.
Sonata JarmalaiteLaboratory of Molecular Oncology, National Cancer Institute, Vilnius, Lithuania.
Kestutis SuziedelisLaboratory of Molecular Oncology, National Cancer Institute, Vilnius, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTriple 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.

resultsIn 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.

conclusionsOur 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.

Indexed as

Biomarkers, TumorMicroRNAsNeoadjuvant TherapyTriple Negative Breast NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, TumorMicroRNAsmiRNAsNeoadjuvant chemotherapyNon-invasive clinical biomarkersSurvivalTNBC

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.