SDHB系统
SDHD公司
副神经节瘤
种系突变
嗜铬细胞瘤
基因型
生殖系
医学
内科学
遗传学
突变
肿瘤科
生物
癌症研究
内分泌学
病理
基因
作者
Reshma Pandit,Kranti Khadilkar,Vijaya Sarathi,Rajeev Kasaliwal,Manjunath Goroshi,Shruti Khare,Sandhya Nair,Vijaya Raghavan,Abhay Dalvi,Priya Hira,Gwendolyn Fernandes,Pragati Sathe,Amey Rojekar,Gaurav Malhotra,Ganesh Bakshi,Gagan Prakash,Anil Bhansali,Rama Walia,Sadishkumar Kamalanathan,Jayaprakash Sahoo
摘要
Background Genetic aetiology of pheochromocytoma (PCC) and paraganglioma (PGL) is increasingly being studied; however, Asian Indian data on this aspect are scarce. Objective To study the prevalence of germline mutations and genotype–phenotype correlation in Asian Indian PCC/PGL patients. Design In this study, 150 index patients (M:F, 73:77) with PCC/PGL were evaluated. Phenotypic data were collected. Germline mutations in five susceptibility genes ( RET , VHL , SDHB , SDHD and SDHC ) were tested by sequencing and NF1 was diagnosed according to phenotype. Result Of the total population, 49 (32.7%) PCC/PGL patients had germline mutations ( VHL : 23 (15.3%), RET : 13 (8.7%), SDHB : 9 (6%), SDHD : 2 (1.3%) and NF1 : 2 (1.3%)). Amongst the 30 patients with familial and/or syndromic presentation, all had germline mutations ( VHL : 14 (46.7%), RET : 13 (43.3%), SDHB : 1 (3.3%) and NF1: 2 (6.7%)). Out of 120 patients with apparently sporadic presentation, 19 (15.8%) had a germline mutation ( VHL : 9 (7.5%), SDHB : 8 (6.7%) and SDHD : 2 (1.7%)). Mutation carriers were younger (29.9 ± 14.5 years vs 36.8 ± 14.9; P = 0.01) and had a higher prevalence of bilateral PCC (26.5% vs 2.9%, P < 0.001) and multifocal tumours (12.2% vs 0.96%, P = 0.06). Based on syndromic features, metastasis, location and number of tumours, around 96% mutations in our cohort could be detected by appropriately selected single gene testing. Conclusion Asian Indians with PCC/PGL differ from Western cohorts in having preponderance of VHL mutations in multifocal tumours and apparently sporadic unilateral PCC. Syndromic presentation, metastasis, location and number of PCC/PGL can be effectively used for guiding genetic prioritisation.