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著者: Svenja Nölting, Nicole Bechmann, David Taieb, Felix Beuschlein, Martin Fassnacht, Matthias Kroiss, Graeme Eisenhofer, Ashley Grossman, Karel Pacak
雑誌名: Endocr Rev. 2021 Jun 19;. doi: 10.1210/endrev/bnab019. Epub 2021 Jun 19.
Abstract/Text
Pheochromocytomas/paragangliomas are characterized by a unique molecular landscape that allows their assignment to clusters depending on underlying genetic alterations. With around 30-35% of Caucasian patients (a lower percentage in the Chinese population) showing germline mutations in susceptibility genes, pheochromocytomas/paragangliomas have the highest rate of heritability among all tumors. A further 35-40% of Caucasian patients (a higher percentage in the Chinese population) are affected by somatic driver-mutations. Thus, around 70% of all patients with pheochromocytoma/paraganglioma can be assigned to one of three main molecular clusters with different phenotypes and clinical behavior. Krebs cycle/VHL/EPAS1-related cluster 1 tumors tend to a noradrenergic biochemical phenotype, and require very close follow-up due to the risk of metastasis and recurrence. In contrast, kinase signaling-related cluster 2 tumors are characterized by an adrenergic phenotype and episodic symptoms, with generally a less aggressive course. The clinical correlates of patients with Wnt signaling-related cluster 3 tumors are currently poorly described, but aggressive behavior seems likely. In this review, we explore and explain why cluster-specific (personalized) management of pheochromocytoma/paraganglioma is essential to ascertain clinical behavior and prognosis, guide individual diagnostic procedures (biochemical interpretation, choice of the most sensitive imaging modalities), and personalized management and follow-up. Although cluster-specific therapy of inoperable/metastatic disease has not yet entered routine clinical practice, we suggest that informed personalized genetic-driven treatment should be implemented as a logical next step. This review amalgamates published guidelines and expert views within each cluster for a coherent individualized patient management plan.
© The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society.
PMID 34147030 Endocr Rev. 2021 Jun 19;. doi: 10.1210/endrev/bnab019. Epub 2021 Jun 19.
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