Description of a New miRNA Signature for the Surgical Management of Thyroid Nodules.

Simple Summary: We present a new molecular signature, based on altered miRNA expressions and specific mutations, allowing for improving the screening of malignant thyroid nodules. This is a prospective non-interventional study, including all Bethesda categories, carried out on an FNAB sampled in sus...

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Publicado en:Cancers Vol. 16; no. 24; pp. 4214 - 4228
Autores principales: Quiriny, Marie, Rodrigues Vitόria, Joel, Saiselet, Manuel, Dom, Geneviève, De Saint Aubain, Nicolas, Willemse, Esther, Digonnet, Antoine, Dequanter, Didier, Rodriguez, Alexandra, Andry, Guy, Detours, Vincent, Maenhaut, Carine
Formato: research tables/charts Journal Article
Publicado: MDPI Dec2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2024
      vid: 16
      iid: 24
      pid: 97109
      pub: MDPI
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        181915592
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        181915592
        10.3390/cancers16244214
        181915592
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        atl: Description of a New miRNA Signature for the Surgical Management of Thyroid Nodules.
      aug:
        au:
          Quiriny, Marie
          Rodrigues Vitόria, Joel
          Saiselet, Manuel
          Dom, Geneviève
          De Saint Aubain, Nicolas
          Willemse, Esther
          Digonnet, Antoine
          Dequanter, Didier
          Rodriguez, Alexandra
          Andry, Guy
          Detours, Vincent
          Maenhaut, Carine
        affil: Institut Jules Bordet, HUB, Université libre de Bruxelles, 1070 Brussels, Belgium
      sug:
        subj:
          Thyroid Neoplasms Diagnosis
          Molecular Diagnostic Techniques
          Thyroid Neoplasms Surgery
          MicroRNA
          Gene Expression
          Mutation
          Human
          Funding Source
          Prospective Studies
          Diagnosis, Computer Assisted
          Algorithms Evaluation
          Validity
          Sensitivity and Specificity
          Thyroidectomy
          Biopsy, Needle
      ab: Simple Summary: We present a new molecular signature, based on altered miRNA expressions and specific mutations, allowing for improving the screening of malignant thyroid nodules. This is a prospective non-interventional study, including all Bethesda categories, carried out on an FNAB sampled in suspicious nodule(s) during thyroidectomy. The reference diagnosis was the pathological assessment of the surgical specimen. miRNA quantification and mutations detection were performed. Different classification algorithms were trained with molecular data to correctly classify the samples. The random forest was the best algorithm. This classifier used mostly miRNAs to classify the nodules. This classifier is able to identify malignant nodules with a high PPV and NPV (both 90%), a high specificity (96%) and a competitive sensitivity (76%). Our data suggest that miRNA expressions emerge as more reliable first-line diagnostic markers. This signature could be efficient to improve the screening of thyroid cancer as a complementary test in clinical practice, to reduce the rate of unnecessary surgery. Background: The diagnosis of malignant thyroid nodules is mainly based on the fine-needle aspiration biopsy (FNAB). To improve the detection of malignant nodules, different molecular tests have been developed. We present a new molecular signature based on altered miRNA expressions and specific mutations. Methods: This is a prospective non-interventional study, including all Bethesda categories, carried out on an FNAB sampled in suspicious nodule(s) during thyroidectomy. miRNA quantification and mutations detection were performed. The reference diagnosis was the pathological assessment of the surgical specimen. Different classification algorithms were trained with molecular data to correctly classify the samples. Results: A total of 294 samples were recorded and randomly divided in two equal groups. The random forest algorithm showed the highest accuracy and used mostly miRNAs to classify the nodules. The sensitivity and the specificity of our signature were, respectively, 76% and 96%, and the positive and negative predictive values were both 90% (disease prevalence of 30%). Conclusions: We have identified a molecular classifier that combines miRNA expressions with mutations detection. This signature could potentially help clinicians, as complementary to the Bethesda classification, to discriminate indeterminate FNABs.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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