Jing Wenjiang, Li Ling, Zhang Xiumei, Wu Shouxin, Zhao Jiangman, Hou Qunxing, Wu Haotian, Ma Wu, Li Shuheng, Liu Huimin, Yang Binhui
Department of Oncology, The Aviation Hanzhong 3201 Hospital, Xi'an Jiao Tong University, Hanzhong 723000, Shaanxi, China.
Department of Oncology, Tengzhou Central People's Hospital, Jining Medical University, Tengzhou 277500, Shandong, China.
Transl Oncol. 2020 Feb;13(2):245-253. doi: 10.1016/j.tranon.2019.09.008. Epub 2019 Dec 21.
Breast cancer is the most commonly diagnosed cancer and the leading cause of cancer death among women. Various mechanisms are involved in the initiation and progression of breast cancer. Metabolic dysregulation has been associated with increasing breast cancer incidence and mortality. However, little is known about how metabolic disease regulates the development and progression of breast cancer at the molecular level. Here, using a hybridization capture-based panel including 124 cancer-associated genes, we performed targeted next-generation sequencing of tumor tissues and matched blood samples from 20 postmenopausal patients with primary breast cancer, in which 6 cases suffered from preexisting metabolic disorders including hypertension, type 2 diabetes, and coronary heart disease. We took only the protein-altering variants and identified 170 somatic mutations of 59 genes. Among these, 40 mutated genes were found in the metabolic disease group, and 33 mutated genes were found in the non-metabolic disease group. Importantly, nonsynonymous mutations of 26 genes (MSH3, BRAF, MLH3, MTOR, DDR2, ALK, etc.) were uniquely present in the metabolic disease group. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes enrichment analysis were performed to investigate biological functions and key pathways of somatic mutations. TP53, PIK3CA, and PTEN were the top three commonly mutated genes at a higher frequency compared with the Cancer Genome Atlas (TCGA) data, and several novel but infrequent mutations in other genes were also found. Although further studies are required to validate these variants, our results are the first to suggest a specific molecular profile of breast cancer with preexisting metabolic disease.
乳腺癌是女性中最常被诊断出的癌症,也是癌症死亡的主要原因。乳腺癌的发生和发展涉及多种机制。代谢失调与乳腺癌发病率和死亡率的增加有关。然而,关于代谢性疾病如何在分子水平上调节乳腺癌的发生和发展,人们知之甚少。在此,我们使用一个包含124个癌症相关基因的基于杂交捕获的基因panel,对20例绝经后原发性乳腺癌患者的肿瘤组织和配对的血液样本进行了靶向二代测序,其中6例患有包括高血压、2型糖尿病和冠心病在内的既往代谢紊乱疾病。我们仅选取了导致蛋白质改变的变异,并鉴定出59个基因的170个体细胞突变。其中,在代谢疾病组中发现了40个突变基因,在非代谢疾病组中发现了33个突变基因。重要的是,26个基因(MSH3、BRAF、MLH3、MTOR、DDR2、ALK等)的非同义突变仅在代谢疾病组中出现。进行了基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析,以研究体细胞突变的生物学功能和关键途径。与癌症基因组图谱(TCGA)数据相比,TP53、PIK3CA和PTEN是三个最常发生突变且频率较高的基因,同时还发现了其他基因中的一些新的但罕见的突变。尽管需要进一步研究来验证这些变异,但我们的结果首次提示了患有既往代谢疾病的乳腺癌的特定分子特征。