{
  "abstract": "BackgroundDifferentiating malignant breast tumors from benign breast lesions remains clinically important when imaging or pathology is indeterminate. We evaluated candidate inverse miRNA–mRNA expression pairs as a tissue-based adjunctive molecular approach intended to complement, not replace, histopathological diagnosis, with particular relevance to diagnostically challenging lesions such as BI-RADS four or radiologic–pathologic discordant cases.MethodsPublic microRNA (miRNA) and messenger RNA (mRNA) datasets were used for candidate discovery and prioritization. An independent reverse-transcription quantitative polymerase chain reaction (RT-qPCR) tissue cohort included 150 breast-lesion samples (68 benign and 82 malignant). Ten candidate axes were measured. A least absolute shrinkage and selection operator (LASSO) logistic-regression model was developed in the training cohort and tested without marker reselection, coefficient refitting, or threshold re-optimization in the internal-validation cohort. Public datasets were used primarily for tumor-versus-normal discovery, whereas benign-versus-malignant evaluation was performed in the independent tissue cohort.ResultsmiR-205-5p/HMGB3 and miR-96-5p/FOXO1 showed the strongest inverse-expression candidate evidence. The final model retained miR-205-5p, HMGB3, miR-96-5p, FOXO1, and miR-21-5p. In internal validation, the area under the receiver operating characteristic curve (AUC) was 0.894 (95% confidence interval 0.788–0.975), with accuracy 0.844, sensitivity 0.840, and specificity 0.850.ConclusionA five-marker tissue model discriminated benign from malignant breast lesions in internal validation. miR-205-5p/HMGB3 and miR-96-5p/FOXO1 were the leading inverse-expression candidates. External validation and functional confirmation are required before clinical use.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "Original Research",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "name": "Xiaoyan Zhao"
    },
    {
      "name": "Hui Feng"
    },
    {
      "name": "Xingxing Wu"
    },
    {
      "name": "Dan Zhao"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/3j7pz5fr68wy1.bib",
  "cited_by": 0,
  "doi": "10.3389/fmolb.2026.1952773",
  "fulltext_url": "https://www.frontiersin.org/articles/10.3389/fmolb.2026.1952773/full",
  "id": "3j7pz5fr68wy1",
  "issns": [
    "2296-889X"
  ],
  "landing_url": "https://www.frontiersin.org/articles/10.3389/fmolb.2026.1952773",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "feed-journal",
      "biochemistry/general"
    ],
    [
      "lcc",
      "QH301-705.5"
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      "openalex",
      "1306|MicroRNA in disease regulation"
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  "openalex": "W7223340600",
  "pdf_url": "https://www.frontiersin.org/journals/molecular-biosciences/articles/10.3389/fmolb.2026.1952773/pdf",
  "pmcid": "PMC13739551",
  "pmid": "42996457",
  "published": "2026-10-23",
  "publisher": "Frontiers Media S.A.",
  "ris": "https://research.draconitic.com/paper/3j7pz5fr68wy1.ris",
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      "url": "https://www.frontiersin.org/articles/10.3389/fmolb.2026.1952773"
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      "native_id": "MED:42996457",
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      "url": "https://europepmc.org/article/MED/42996457"
    }
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  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:1306|MicroRNA in disease regulation",
      "subfield": "oncology"
    }
  ],
  "title": "Identification of candidate inverse miRNA–mRNA pairs and an internally validated tissue-based diagnostic model for benign and malignant breast lesions",
  "title_text": "Identification of candidate inverse miRNA–mRNA pairs and an internally validated tissue-based diagnostic model for benign and malignant breast lesions",
  "type": "peer-reviewed",
  "updated_at": "2026-11-09T15:20:34Z",
  "url": "https://research.draconitic.com/paper/3j7pz5fr68wy1",
  "venue": "Frontiers in Molecular Biosciences",
  "versions": []
}