Wu Haibo, Wang Wei, Du Jun, Li Hong, Wang Huogang, Huang Liangliang, Xiang Hang, Xie Jing, Liu Xiaoli, Li Heng, Lin Wenchu
Department of Pathology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230036, Anhui, People's Republic of China.
High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei 230031, Anhui, People's Republic of China,
Cancer Manag Res. 2019 Feb 14;11:1473-1492. doi: 10.2147/CMAR.S195351. eCollection 2019.
The mutation status and prognostic value of in breast cancer were widely investigated, which showed significant difference among the patients from vast areas around the world. In this study, the frequency, distribution, bias, and burden of mutations and their relationships with clinicopathologic variables and prognostic significances were investigated in the breast cancer patients from Central China.
Somatic mutations in exon 9 and exon 20 of gene were analyzed using Sanger sequencing combining with targeted next generation sequencing in 494 breast cancer patients from Central China. The correlations between mutations and clinicopathological characteristics and the prognostic values of multiple mutation statuses were evaluated.
mutations were found in 38% of the patients and associated with estrogen receptor-positive, progesterone receptor-positive, low Ki67 labeling index, and luminal/human epidermal growth factor receptor 2-enriched subtypes. Meanwhile, the prognosis of the total patients and the patients in old diagnostic age, progesterone receptor-negative, low Ki67 labeling index, and luminal/human epidermal growth factor receptor 2-enriched subgroups was significantly related to mutations. Most interestingly, the distribution, bias, and burden of mutations were correlated with different clinical, pathological, and molecular features as well as distinct prognostic implications in multiple breast cancer subgroups.
The frequency, distribution, bias, and burden of mutations were associated with various clinical, pathological, and molecular characteristics in the breast cancer patients from Central China. These different mutation statuses can be used as potential indicators of prognosis in multiple breast cancer subgroups.
广泛研究了[基因名称]在乳腺癌中的突变状态和预后价值,结果显示来自世界各地广大地区的患者之间存在显著差异。在本研究中,对来自中国中部的乳腺癌患者中[基因名称]突变的频率、分布、偏差和负担及其与临床病理变量的关系和预后意义进行了研究。
采用桑格测序结合靶向二代测序技术,分析了494例来自中国中部的乳腺癌患者[基因名称]第9外显子和第20外显子的体细胞突变。评估了[基因名称]突变与临床病理特征之间的相关性以及多种[基因名称]突变状态的预后价值。
38%的患者发现有[基因名称]突变,且与雌激素受体阳性、孕激素受体阳性、低Ki67标记指数以及管腔型/人表皮生长因子受体2富集亚型相关。同时,总体患者以及诊断年龄较大、孕激素受体阴性、低Ki67标记指数和管腔型/人表皮生长因子受体2富集亚组患者的预后与[基因名称]突变显著相关。最有趣的是,[基因名称]突变的分布、偏差和负担与多种乳腺癌亚组的不同临床、病理和分子特征以及不同的预后意义相关。
在中国中部乳腺癌患者中,[基因名称]突变的频率、分布、偏差和负担与各种临床、病理和分子特征相关。这些不同的突变状态可作为多种乳腺癌亚组预后的潜在指标。