Investigation of fatty acid metabolism-related genes in breast cancer: Implications for Immunotherapy and clinical significance.
Investigation of fatty acid metabolism-related genes in breast cancer: Implications for Immunotherapy and clinical significance.
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DOI：
10.1016/j.tranon.2023.101700
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发表时间：
2023-08
影响因子：
5
通讯作者：
Zhang, Taolan
中科院分区：
文献类型：
--
作者：
Tang, Liyang;Lei, Xiaoyong;Hu, Haihong;Li, Zhuo;Zhu, Hongxia;Zhan, Wendi;Zhang, Taolan
关键词：
脂肪酸代谢基因在乳腺癌患者中存在一定的DNA基因改变和拷贝数变异，提示脂肪酸代谢失衡也可能是乳腺癌的致病因素之一。FABP4是一种非常潜在的乳腺癌生物标志物，它可能在早期癌症中发挥肿瘤抑制作用，但随着时间的推移，它可能表现为致癌物质。本研究构建的预后模型对患者预后和药物疗效有较好的预测能力，可作为临床决策的参考之一。乳腺癌（BRCA）是一个主要的全球健康问题，其特点是死亡率高，早期诊断率低。BRCA的肿瘤免疫微环境（TME）与脂肪酸代谢（FAM）密切相关。本研究旨在基于来自癌症基因组图谱（TCGA）数据库的基因表达和临床数据，鉴定BRCA中fam相关亚型。该研究发现了两种不同的fam相关亚型，每种亚型都具有独特的免疫特征和预后影响。通过TCGA和国际癌症基因组联盟（International Cancer Genome Consortium， GEO）的队列研究，建立并验证了fam相关风险评分预后模型，显示了化疗和免疫治疗的潜在临床应用。此外，还建立了一个nomogram，以方便临床使用风险评分。这些结果突出了BRCA中FAM基因与TME之间的显著相关性，并证明了FAM相关风险评分在告知BRCA患者治疗决策方面的潜在临床应用。
The fatty acid metabolism gene has certain DNA gene changes and copy number variations in breast cancer patients, indicating that the imbalance of fatty acid metabolism may also be one of the pathogenic factors of breast cancer. FABP4 is a very potential biomarker of breast cancer, which may play a tumor inhibitory role in early cancer, but it may behave as a carcinogen over time. The prognosis model constructed in this study has good predictive ability for patient prognosis and drug efficacy, and can be used as one of the reference for clinical decision-making. Breast cancer (BRCA) is a major global health issue, characterized by high mortality and low early diagnosis rates. The tumor immune microenvironment (TME) of BRCA is closely linked to fatty acid metabolism (FAM). This study aimed to identify FAM-related subtypes in BRCA based on gene expression and clinical data from the Cancer Genome Atlas (TCGA) database. The study found two distinct FAM-related subtypes, each with unique immune characteristics and prognostic implications. A FAM-related risk score prognostic model was developed and validated using TCGA and International Cancer Genome Consortium (GEO) cohorts, showing potential clinical applications for chemotherapy and immunotherapy. Additionally, a nomogram was established to facilitate clinical use of the risk score. These results highlight the significant correlation between FAM genes and TME in BRCA, and demonstrate the potential clinical utility of the FAM-related risk score in informing treatment decisions for BRCA patients.
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