Personalized Management of Pheochromocytoma and Paraganglioma

副神经节瘤 嗜铬细胞瘤 医学 人口 种系突变 遗传异质性 表型 生物信息学 内科学 肿瘤科 SDHB系统 病理 突变 生物 遗传学 基因 环境卫生
作者
Svenja Nölting,Nicole Bechmann,David Taïeb,Felix Beuschlein,Martin Faßnacht,Matthias Kroiß,Graeme Eisenhofer,Ashley Grossman,Karel Pacák
出处
期刊:Endocrine Reviews [Oxford University Press]
卷期号:43 (2): 199-239 被引量:396
标识
DOI:10.1210/endrev/bnab019
摘要

Pheochromocytomas/paragangliomas are characterized by a unique molecular landscape that allows their assignment to clusters based on underlying genetic alterations. With around 30% to 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% to 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 1 of 3 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 provide 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.
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