The Management of Phaeochromocytomas and Paragangliomas in the Era of Precision Medicine: Where Are We Now? Evidence-Based Systemic Treatment Options and Future Cluster Oriented Perspectives.
Alessandra BraciglianoAntonella Lucia MarrettaLuigi Pio GuerreraRoberto SimioliOttavia ClementeVincenza GranataAnita MinopoliGiuseppina Della Vittoria ScarpatiFernanda PicozziLucia CannellaAntonio PizzolorussoFrancesca Di GennaroRoberto TafutoMaria Rosaria SarnoErnesta CavalcantiDario RiberaSalvatore TafutoPublished in: Pharmaceuticals (Basel, Switzerland) (2024)
Pheochromocytomas (PCCs) and Paragangliomas (PGLs), commonly known as PPGLs to include both entities, are rare neuroendocrine tumors that may arise in the context of hereditary syndromes or be sporadic. However, even among sporadic PPGLs, identifiable somatic alterations in at least one of the known susceptibility genes can be detected. Therefore, about 3/4 of all PPGL patients can be assigned to one of the three molecular clusters that have been identified in the last years with difference in the underlying pathogenetic mechanisms, biochemical phenotype, metastatic potential, and prognosis. While surgery represents the mainstay of treatment for localized PPGLs, several therapeutic options are available in advanced and/or metastatic setting. However, only few of them hinge upon prospective data and a cluster-oriented approach has not yet been established. In order to render management even more personalized and improve the prognosis of this molecularly complex disease, it is undoubtable that genetic testing for germline mutations as well as genome profiling for somatic mutations, where available, must be improved and become standard practice. This review summarizes the current evidence regarding diagnosis and treatment of PPGLs, supporting the need of a more cluster-specific approach in clinical practice.
Keyphrases
- neuroendocrine tumors
- end stage renal disease
- squamous cell carcinoma
- small cell lung cancer
- clinical practice
- late onset
- ejection fraction
- genome wide
- chronic kidney disease
- newly diagnosed
- copy number
- minimally invasive
- primary care
- healthcare
- amyotrophic lateral sclerosis
- peritoneal dialysis
- coronary artery disease
- patient reported outcomes
- coronary artery bypass
- gene expression
- machine learning
- acute coronary syndrome
- early onset
- atrial fibrillation
- transcription factor
- drug induced
- genome wide identification