Department of Breast and Thyroid Surgery, Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China.
Department of Breast and Thyroid Surgery, Clinical Medicine, Medical College, Nantong University, Nantong, Jiangsu Province, China.
Medicine (Baltimore). 2024 May 10;103(19):e38146. doi: 10.1097/MD.0000000000038146.
Breast cancer is a prevalent ailment among women, and the inflammatory response plays a crucial role in the management and prediction of breast cancer (BRCA). However, the new subtypes based on inflammation in BRCA research are still undefined. The databases including The Cancer Genome Atlas and gene expression omnibus were utilized to gather clinical data and somatic mutation information for approximately 1069 BRCA patients. Through Consensus Clustering, novel subtypes linked to inflammation were identified. A comparative analysis was conducted on the prognosis, and immune cell infiltration, and somatic mutation of the new subtypes. Additionally, an investigation into drug therapy and immunotherapy was conducted to distinguish high-risk individuals from low-risk ones. The findings of this investigation proposed the categorization of BRCA into innovative subtypes predicated on the inflammatory response and 6 key genes were a meaningful approach. Specifically, the low-, medium-, and high-inflammation subtypes exhibited varying degrees of association with clinicopathological features, tumor microenvironment, and prognosis. Notably, the high-inflammation subtype was characterized by a strong correlation with immunosuppressive microenvironments and a higher frequency of somatic mutations, which was an indication of poorer health. This study revealed that a brand-new classification could throw new light on the effective prognosis. The integration of multiple key genes was a new characterization that could promote more immunotherapy strategies and contribute to predicting the efficacy of the chemotherapeutic drugs.
乳腺癌是女性常见的疾病，炎症反应在乳腺癌（BRCA）的管理和预测中起着至关重要的作用。然而，BRCA 研究中基于炎症的新亚型仍然没有定义。本研究利用包括癌症基因组图谱和基因表达综合数据库在内的数据库，收集了大约 1069 名 BRCA 患者的临床数据和体细胞突变信息。通过共识聚类，确定了与炎症相关的新型亚型。对新亚型的预后、免疫细胞浸润和体细胞突变进行了比较分析。此外，还进行了药物治疗和免疫治疗的研究，以区分高风险和低风险个体。这项研究提出了一种基于炎症反应的 BRCA 分类的新方法，将 BRCA 分为创新亚型，其中 6 个关键基因是一种有意义的方法。具体来说，低、中、高炎症亚型与临床病理特征、肿瘤微环境和预后有不同程度的关联。值得注意的是，高炎症亚型与免疫抑制微环境有很强的相关性，体细胞突变频率更高，表明健康状况更差。这项研究表明，一种全新的分类方法可以为有效的预后提供新的思路。整合多个关键基因是一种新的特征，可以促进更多的免疫治疗策略，并有助于预测化疗药物的疗效。
