Miao Shichen, Bian Chengyu, Fang Jun, Wang Shanshan, You Huan, Zhou Yi, Ni Qichao
Department of Thyroid and Breast Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Department of Thoracic Surgery, The First People's Hospital of Changzhou and The Third Affiliated Hospital of Soochow University, Changzhou, China.
Transl Cancer Res. 2024 Oct 31;13(10):5214-5232. doi: 10.21037/tcr-24-1037. Epub 2024 Oct 29.
Tumor-associated macrophages play a critical role in the progression and immune response of triple-negative breast cancer (TNBC). Our study aimed to explore the characteristics of tumor-associated macrophages (TAMs) in TNBC, construct a risk signature associated with TAM clusters, and verify its relationship with prognosis and immune-related characteristics.
Firstly, we identified four TAM clusters and determined prognosis-related clusters in TNBC based on the single-cell RNA sequencing (scRNA-seq) data. Subsequently, the TAM-related prognostic genes were obtained by the univariate Cox regression analysis and an 8-gene risk signature was then constructed by least absolute shrinkage and selection operator (LASSO) regression based on these TAM-related prognostic genes. Analyses of immune characteristics showed a significant association between the signature with stromal and immune scores, as well as some immune cells.
Multivariate analysis revealed that the risk signature was an independent prognostic factor for TNBC, and its value in predicting immunotherapeutic outcomes was also confirmed. A novel nomogram integrating the stage and TAM-based risk signature was constructed, which exhibited favorable predictability and reliability in the prognosis prediction of TNBC. Finally, the increasing expression of which is one of the eight hub genes was explored in TNBC by experiments including reverse-transcriptase polymerase chain reaction, western blot, and immunohistochemistry.
Our study may provide unique insights into obtaining independent prognostic factors, improving immunotherapeutic strategies, and identifying effective therapeutic targets for TNBC.
肿瘤相关巨噬细胞在三阴性乳腺癌(TNBC)的进展和免疫反应中起关键作用。我们的研究旨在探讨TNBC中肿瘤相关巨噬细胞(TAM)的特征,构建与TAM簇相关的风险特征,并验证其与预后和免疫相关特征的关系。
首先,我们基于单细胞RNA测序(scRNA-seq)数据在TNBC中鉴定了四个TAM簇并确定了与预后相关的簇。随后,通过单变量Cox回归分析获得TAM相关的预后基因,然后基于这些TAM相关的预后基因通过最小绝对收缩和选择算子(LASSO)回归构建一个8基因风险特征。免疫特征分析显示该特征与基质和免疫评分以及一些免疫细胞之间存在显著关联。
多变量分析显示该风险特征是TNBC的独立预后因素,其在预测免疫治疗结果中的价值也得到了证实。构建了一个整合分期和基于TAM的风险特征的新型列线图,该列线图在TNBC的预后预测中表现出良好的预测性和可靠性。最后,通过逆转录聚合酶链反应、蛋白质免疫印迹和免疫组织化学等实验,在TNBC中探索了八个枢纽基因之一的表达增加情况。
我们的研究可能为获得独立预后因素、改进免疫治疗策略以及确定TNBC的有效治疗靶点提供独特的见解。