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Gene Expression Analysis of Biphasic Pleural Mesothelioma: New Potential Diagnostic and Prognostic Markers.
Bruno, Rossella; Poma, Anello Marcello; Alì, Greta; Distefano, Claudia; Proietti, Agnese; Chella, Antonio; Lucchi, Marco; Melfi, Franca; Franco, Renato; Fontanini, Gabriella.
Affiliation
  • Bruno R; Unit of Pathological Anatomy, University Hospital of Pisa, 56100 Pisa, Italy.
  • Poma AM; Department of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, 56100 Pisa, Italy.
  • Alì G; Unit of Pathological Anatomy, University Hospital of Pisa, 56100 Pisa, Italy.
  • Distefano C; Unit of Pathological Anatomy, University Hospital of Pisa, 56100 Pisa, Italy.
  • Proietti A; Unit of Pathological Anatomy, University Hospital of Pisa, 56100 Pisa, Italy.
  • Chella A; Unit of Pneumology, University Hospital of Pisa, 56100 Pisa, Italy.
  • Lucchi M; Division of Thoracic Surgery, Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, 56100 Pisa, Italy.
  • Melfi F; Minimally Invasive and Robotic Thoracic Surgery, Robotic Multispecialty Center of Surgery, University Hospital of Pisa, 56100 Pisa, Italy.
  • Franco R; Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania "L Vanvitelli", 80138 Naples, Italy.
  • Fontanini G; Department of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, 56100 Pisa, Italy.
Diagnostics (Basel) ; 12(3)2022 Mar 10.
Article in En | MEDLINE | ID: mdl-35328227
ABSTRACT
Biphasic is the second most common histotype of pleural mesothelioma (PM). It shares epithelioid and sarcomatoid features and is challenging to diagnose. The aim of this study was to identify biphasic PM markers to improve subtyping and prognosis definition. The expression levels of 117 cancer genes, evaluated using the nanoString system, were compared between the three major histotypes (epithelioid, sarcomatoid, and biphasic), and expression differences within biphasic PM were evaluated in relation to the percentage of epithelioid components. Biphasic PM overexpressed CTNNA1 and TIMP3 in comparison to sarcomatoid, and COL16A1 and SDC1 in comparison to epithelioid PM. CFB, MSLN, CLDN15, SERPINE1, and PAK4 were deregulated among all histotypes, leading to the hypothesis of a gradual expression from epithelioid to sarcomatoid PM. According to gene expression, biphasic PM samples were divided in two clusters with a significant difference in the epithelioid component. ADCY4, COL1A1, and COL4A2 were overexpressed in the biphasic group with a low percentage of epithelioid component. Survival analysis using TCGA data showed that high COL1A1 and COL4A2 expression levels correlate with poor survival in PM patients. Herein, we identified markers with the potential to improve diagnosis and prognostic stratification of biphasic PM, which is still an orphan tumor.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Diagnostics (Basel) Year: 2022 Document type: Article Affiliation country: Italia

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Diagnostics (Basel) Year: 2022 Document type: Article Affiliation country: Italia