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Identification of lysine lactylation (kla)-related lncRNA signatures using XGBoost to predict prognosis and immune microenvironment in breast cancer patients

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机构： [1]School of Clinical Medicine, Fujian Medical University, No. 1 Xuefu North Road, University New District, Fuzhou, 350122, Fujian, China. [2]Department of Breast Surgery, Affiliated Hospital of Putian University, Putian, 351100, Fujian Province, China. [3]Department of Orthopedics, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, Sichuan, China. [4]Department of Orthopedics, Affiliated Hospital of Putian University, Putian, 351100, Fujian, China. [5]Fudan University Shanghai Cancer Center Xiamen Hospital, Xiamen, China. [6]The Institute of Cardiovascular Sciences, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Health Science Center, Peking University, Beijing, 100191, China.

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关键词： Breast cancer lncRNA Lactylation Kla TIDE TMB

摘要：

Breast cancer (BC) stands as a predominant global malignancy, significantly contributing to female mortality. Recently uncovered, histone lysine lactylation (kla) has assumed a crucial role in cancer progression. However, the correlation with lncRNAs remains ambiguous. Scrutinizing lncRNAs associated with Kla not only improves clinical breast cancer management but also establishes a groundwork for antitumor drug development. We procured breast tissue samples, encompassing both normal and cancerous specimens, from The Cancer Genome Atlas (TCGA) database. Utilizing Cox regression and XGBoost methods, we developed a prognostic model using identified kla-related lncRNAs. The model's predictive efficacy underwent validation across training, testing, and the overall cohort. Functional analysis concerning kla-related lncRNAs ensued. We identified and screened 8 kla-related lncRNAs to formulate the risk model. Pathway analysis disclosed the connection between immune-related pathways and the risk model of kla-related lncRNAs. Significantly, the risk scores exhibited a correlation with both immune cell infiltration and immune function, indicating a clear association. Noteworthy is the observation that patients with elevated risk scores demonstrated an increased tumor mutation burden (TMB) and decreased tumor immune dysfunction and exclusion (TIDE) scores, suggesting heightened responses to immune checkpoint blockade. Our study uncovers a potential link between Kla-related lncRNAs and BC, providing innovative therapeutic guidelines for BC management.© 2024. The Author(s).

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大类 | 2 区综合性期刊

小类 | 2 区综合性期刊

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第一作者机构： [1]School of Clinical Medicine, Fujian Medical University, No. 1 Xuefu North Road, University New District, Fuzhou, 350122, Fujian, China. [2]Department of Breast Surgery, Affiliated Hospital of Putian University, Putian, 351100, Fujian Province, China.

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