Discovery of an independent poor-prognosis subtype associated with tertiary lymphoid structures in breast cancer

被引:3
作者
Liu, Ruiqi [1 ]
Huang, Xiaoqian [1 ]
Yang, Shiwei [1 ]
Du, Wenbo [2 ]
Chen, Xiaozhou [1 ]
Li, Huamei [2 ]
机构
[1] Yunnan Minzu Univ, Sch Math & Comp Sci, Kunming, Peoples R China
[2] Nanjing Univ, Nanjing Drum Tower Hosp, Dept Rheumatol & Immunol, Affiliated Hosp,Med Sch, Nanjing, Peoples R China
来源
FRONTIERS IN IMMUNOLOGY | 2024年 / 15卷
关键词
tertiary lymphoid structures; tumor microenvironment; breast cancer; subtypes; prognosis; B-CELLS; IMMUNOTHERAPY; EXPRESSION; NEOGENESIS; CHEMOKINES; RESPONSES; SURVIVAL; TISSUE;
D O I
10.3389/fimmu.2024.1364506
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Introduction Tertiary lymphoid structures (TLSs) are ectopic lymphoid formations that arise in non-lymphoid tissues due to chronic inflammation. The pivotal function of TLSs in regulating tumor invasion and metastasis has been established across several cancers, such as lung cancer, liver cancer, and melanoma, with a positive correlation between increased TLS presence and improved prognosis. Nevertheless, the current research about the clinical significance of TLSs in breast cancer remains limited.Methods In our investigation, we discovered TLS-critical genes that may impact the prognosis of breast cancer patients, and categorized breast cancer into three distinct subtypes based on critical gene expression profiles, each exhibiting substantial differences in prognosis (p = 0.0046, log-rank test), with Cluster 1 having the best prognosis, followed by Cluster 2, and Cluster 3 having the worst prognosis. We explored the impact of the heterogeneity of these subtypes on patient prognosis, the differences in the molecular mechanism, and their responses to drug therapy and immunotherapy. In addition, we designed a machine learning-based classification model, unveiling highly consistent prognostic distinctions in several externally independent cohorts.Results A notable marker gene CXCL13 was identified in Cluster 3, potentially pivotal in enhancing patient prognosis. At the single-cell resolution, we delved into the adverse prognosis of Cluster 3, observing an enhanced interaction between fibroblasts, myeloid cells, and basal cells, influencing patient prognosis. Furthermore, we identified several significantly upregulated genes (CD46, JAG1, IL6, and IL6R) that may positively correlate with cancer cells' survival and invasive capabilities in this subtype.Discussion Our study is a robust foundation for precision medicine and personalized therapy, presenting a novel perspective for the contemporary classification of breast cancer.
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页数:12
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