Wang Yong, Li Minghao, Deng Hao, Pang Yingxian, Liu Longfei, Guan Xiao
Department of Urology, Xiangya Hospital, Central South University NO. 87 Xiangya Road, Changsha 410008, Hunan, P. R. China.
National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University No. 87 Xiangya Road, Changsha 410008, Hunan, P. R. China.
Am J Cancer Res. 2020 Mar 1;10(3):769-780. eCollection 2020.
Pheochromocytoma and paraganglioma (PPGL) are rare neuroendocrine tumors that arising from the adrenal medulla or extra-adrenal autonomic ganglia. Traditionally, PPGL was classified as benign or malignant based on the presence of distant metastasis at the time of initial surgery. However, according to WHO 2017 Classification of Tumors of Endocrine Organs, all PPGL has metastatic potential. The term "metastatic" is used, replacing "malignant" in this group of tumors. The prediction of PPGL's metastatic potential is a clinical concern, although many relevant indicators such as genetics, histology, pathology and molecular biology markers have been proved to be related to the metastasis of PPGL, but none of them is 100% predictive; various types of prediction systems had been created, but previous studies had demonstrated that they still need to be validated in multicenter studies. There is no unified clinical standard to differentiate metastatic from non-metastatic and a highly effective prediction system is of urgent need. In this review, we summarized all reported prediction systems, including the PASS system, the GAPP system, the COPPs system and the ASES system. Additional potential indicators that related to metastatic PPGL were also introduced.
嗜铬细胞瘤和副神经节瘤(PPGL)是起源于肾上腺髓质或肾上腺外自主神经节的罕见神经内分泌肿瘤。传统上,PPGL根据初次手术时是否存在远处转移分为良性或恶性。然而,根据世界卫生组织2017年内分泌器官肿瘤分类,所有PPGL都有转移潜能。在这组肿瘤中,使用“转移性”一词取代“恶性”。PPGL转移潜能的预测是一个临床关注点,尽管许多相关指标如遗传学、组织学、病理学和分子生物学标志物已被证明与PPGL的转移有关,但它们都不是100%具有预测性;已经创建了各种类型的预测系统,但先前的研究表明它们仍需要在多中心研究中进行验证。目前尚无区分转移性和非转移性的统一临床标准,急需一个高效的预测系统。在本综述中,我们总结了所有已报道的预测系统,包括PASS系统、GAPP系统、COPPs系统和ASES系统。还介绍了与转移性PPGL相关的其他潜在指标。