Gene expression profile in metastatic and non-metastatic parathyroid carcinoma

in Endocrine-Related Cancer
Authors:
Vincenzo Condello Department of Surgical, Medical, Molecular Pathology and Critical Area, University Hospital of Pisa, Pisa, Italy
Department of Pathology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA

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Filomena Cetani Endocrine Unit, University Hospital of Pisa, Pisa, Italy

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Maria Denaro Department of Surgical, Medical, Molecular Pathology and Critical Area, University Hospital of Pisa, Pisa, Italy

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Liborio Torregrossa Division of Surgical Pathology, University Hospital of Pisa, Pisa, Italy

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Elena Pardi Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy

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Paolo Piaggi Department of Information Engineering, University of Pisa, Pisa, Italy

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https://orcid.org/0000-0003-2774-9161
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Simona Borsari Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy

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Anello Marcello Poma Department of Surgical, Medical, Molecular Pathology and Critical Area, University Hospital of Pisa, Pisa, Italy

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Lucia Anna Muscarella Fondazione IRCCS Casa Sollievo della Sofferenza Hospital, Laboratory of Oncology, San Giovanni Rotondo (FG), Italy

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Paolo Graziano Fondazione IRCCS Casa Sollievo della Sofferenza Hospital, Unit of Pathology, San Giovanni Rotondo (FG), Italy

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Maria Grazia Chiofalo Fondazione IRCCS G. Pascale, Thyroid and Parathyroid Surgery Unit, Istituto Nazionale Tumori, Naples, Italy

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Andrea Repaci Endocrinology Unit, Sant’Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy

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Giovanni Tallini Department of Medicine, Molecular Diagnostic Unit, Azienda USL di Bologna, University of Bologna School of Medicine, Bologna, Italy

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Francesco Boi Department of Medical Sciences and Public Health, Endocrinology Unit, University of Cagliari, Cagliari, Italy

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Gabriele Materazzi Department of Surgical, Medical, Molecular Pathology and Critical Area, University Hospital of Pisa, Pisa, Italy

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Fulvio Basolo Department of Surgical, Medical, Molecular Pathology and Critical Area, University Hospital of Pisa, Pisa, Italy

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Claudio Marcocci Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy

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Correspondence should be addressed to F Cetani: cetani@endoc.med.unipi.it

*(V Condello and F Cetani contributed equally to this work)

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Parathyroid carcinoma (PC) is one of the rarest and aggressive malignancies of the endocrine system. In some instances, the histological diagnosis remains uncertain unless there is evidence of gross local invasion or secondary spread. The identification of molecular markers could improve the diagnostic accuracy of these lesions. The expression of 740 genes involved in the tumor progression processes was assessed in 8 parathyroid adenomas (PAs), 17 non-metastatic and 10 metastatic PCs using NanoString technology. Clustering analysis and Ingenuity Pathway Analysis (IPA) were interrogated to compare the gene expression profiles among the three analyzed groups and to evaluate the potential role of differentially expressed genes, respectively. The 103 differentially expressed genes between metastatic PCs and PAs are able to discriminate perfectly the two groups from a molecular point of view. The molecular signatures identified in non-metastatic PCs vs PAs and in metastatic PCs vs non-metastatic PCs comparisons, although with some exceptions, seem to be histotype-specific IPA reveals that hepatic fibrosis/hepatic stellate cell activation and GP6 signaling pathway are involved in malignant behavior of parathyroid tumors, whereas the activation of the HOTAIR regulatory pathway are involved in the metastatization process. Our investigation identified differentially expressed genes in non-metastatic PCs mainly encoding ECM proteins and in metastatic PCs driving endothelial-to-mesenchymal transition or encoding mediators of angiogenesis. The identified genes might be promising molecular markers potentially useful in the clinical practice for the early diagnosis and prognosis of PC.

Supplementary Materials

    • Supplemetary Table 1. Significant differentially expressed genes and type of regulation
    • Supplementary Table 2. Canonical pathways and associated molecules

 

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