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Alberto Cascón Hereditary Endocrine Cancer Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain

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Bruna Calsina Hereditary Endocrine Cancer Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain

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María Monteagudo Hereditary Endocrine Cancer Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain

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Sara Mellid Hereditary Endocrine Cancer Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain

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Alberto Díaz-Talavera Hereditary Endocrine Cancer Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain

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Maria Currás-Freixes Hereditary Endocrine Cancer Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain

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Mercedes Robledo Hereditary Endocrine Cancer Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain

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The genetics of pheochromocytoma and paraganglioma (PPGL) has become increasingly complex over the last two decades. The list of genes involved in the development of these tumors has grown steadily, and there are currently more than 20 driver genes implicated in either the hereditary or the sporadic nature of the disease. Although genetic diagnosis is achieved in about 75–80% of patients, genetic etiology remains unexplained in a significant percentage of cases. Patients lacking a genetic diagnosis include not only those with apparently sporadic PPGL but also patients with a family history of the disease or with multiple tumors, that meet the criteria to be considered as candidates for carrying germline mutations in yet undiscovered genes. Mutations in known PPGL genes deregulate three main signaling pathways (hypoxia, kinase signaling, and Wnt-signaling pathways), which could be the starting point for the development of personalized treatment for PPGL patients. Furthermore, the integration of results from several genomic high-throughput platforms enables the discovery of regulatory mechanisms that cannot be identified by analyzing each piece of information separately. These strategies are powerful tools for elucidating optimal therapeutic options based on molecular biomarkers in PPGL and represent an important step toward the achievement of precision medicine for patients with metastatic PPGL.

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