Li Ang, Hao Shuai, Luo Jiaqi, Zi Yi, Lan Zhaoji, Zhou Tianliangwen, Zhi Qihuan, Zhan Jiamin, Sun Gang, Shi Yujian, Luo Donglin
Department of Research, Top Gene Tech (Guangzhou) Co., Ltd., Guangzhou, China.
Department of Breast, Thyroid Surgery, Daping Hospital, Army Medical University, Chongqing 400042, China.
J Oncol. 2022 Mar 26;2022:9390539. doi: 10.1155/2022/9390539. eCollection 2022.
Cancer risks vary in different mutations. We are interested in identifying regions associated with elevated/reduced risks of breast/ovarian cancers in the Chinese population and comparing with previously reported Caucasian-based breast/ovarian cancer cluster regions (OCCR/BCCR). We also aim to characterize the distribution and estimate the cancer risks of different Chinese recurrent mutations.
A total of 3,641 cancer-free women and 4,278 female cancer patients were included in the study. Germline status was detected with amplicon-based next-generation sequencing. We calculated the odds ratio (OR) of breast cancer and OR of ovarian cancer, and their ratio of the two ORs (ROR) for each region. ROR >1 indicated elevated odds of breast cancer and/or decreasing odds of ovarian cancer, and vice versa. The frequency, distribution, and penetrance of six known Chinese founder mutations were characterized, respectively. Haplotype analysis and age estimation were performed on the most prevalent founder mutation : c.5470_5477del.
A total of 729 subjects were detected with germline deleterious mutations. The putative Chinese OCCR/BCCR partially overlapped with Caucasian-based OCCR/BCCR and shared structural-functional characteristics. The six known Chinese founder mutations greatly vary in both distribution and penetrance. The two widely spread mutations are estimated to convey low penetrance, while the area-restricted founder mutations seemed to confer higher/complete penetrance. : c.5470_5477del is estimated to have emerged ∼2,090 years ago (70 B.C.) during the Han dynasty.
carriers with different genotypes have significantly different cancer risks. An optimal risk assessment should be mutation specific, rather than concerning a single figure.
不同的基因突变会导致不同的癌症风险。我们感兴趣的是在中国人群中识别与乳腺癌/卵巢癌风险升高/降低相关的区域,并与先前报道的基于白种人的乳腺癌/卵巢癌聚类区域(OCCR/BCCR)进行比较。我们还旨在描述不同中国复发性突变的分布特征,并估计其癌症风险。
本研究共纳入3641名无癌女性和4278名女性癌症患者。采用基于扩增子的二代测序检测种系状态。我们计算了每个区域的乳腺癌优势比(OR)、卵巢癌OR以及两者的比值(ROR)。ROR>1表明乳腺癌的优势比升高和/或卵巢癌的优势比降低,反之亦然。分别对六个已知的中国始祖突变的频率、分布和外显率进行了特征描述。对最常见的始祖突变c.5470_5477del进行了单倍型分析和年龄估计。
共检测到729名受试者存在种系有害突变。推测的中国OCCR/BCCR与基于白种人的OCCR/BCCR部分重叠,并具有共同的结构功能特征。六个已知的中国始祖突变在分布和外显率上有很大差异。据估计,两个广泛传播的突变具有低外显率,而区域受限的始祖突变似乎具有较高/完全外显率。c.5470_5477del估计在汉代(公元前70年)约2090年前出现。
不同基因型的携带者患癌风险有显著差异。最佳的风险评估应该是针对特定突变的,而不是关注一个单一数字。