Comprehensive analysis identifies a lactylation-related signature for predicting prognosis and guiding therapies in colon adenocarcinoma.

IF 2.6 3区 生物学 Q2 GENETICS & HEREDITY Gene Pub Date : 2024-12-24 DOI:10.1016/j.gene.2024.149191
Huan Chang, Ning Zheng, Xiaocheng Zhu
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Abstract

Purpose: This study aimed to identify a lactylation-related gene signature for predicting prognosis and guiding therapies in colon adenocarcinoma (COAD). We seek to address the challenges in COAD prognostication due to tumor heterogeneity and variable treatment responses.

Methods: The study employed integrative bioinformatics analyses on multi-omics data from public databases, including gene expression profiles, clinical data, and lactylation-related genes (LRGs). The least absolute shrinkage and selection operator (LASSO) regression analysis and Cox risk model were applied to develop a prognostic signature. The predictive capabilities of the signature were assessed in four independent COAD cohorts (GSE39582, GSE71187, GSE75500, and GSE17536). Functional enrichment, immune infiltrations, and scRNA-seq analysis were performed to investigate biological processes and the tumor microenvironment (TME). Additionally, functional assays were performed to assess the impact of gene knockdown on COAD cell behavior.

Results: A 3-gene signature (SUSD5, FABP4, CALB2) was identified, demonstrating robust predictive performance for clinical outcomes in COAD patients across multiple cohorts. The signature revealed involvement in critical cancer-related biological processes and showed potential in guiding therapeutic decisions. The bulk RNA-seq and scRNA-seq analysis suggested that LRGs modulates the TME, particularly immune cell populations like mast cells. Knockdown of CALB2 significantly suppressed COAD cell proliferation, invasion, and migration.

Conclusion: This comprehensive analysis identified a lactylation-related signature with significant prognostic and therapeutic implications for COAD. The findings highlight the importance of lactylation in COAD biology and offer novel insights for developing personalized treatment strategies, potentially improving patient outcomes in this prevalent malignancy.

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综合分析确定了一个与乳酸化相关的特征,用于预测结肠癌的预后和指导治疗。
目的:本研究旨在鉴定一个乳酸酰化相关基因标记,用于预测结肠癌(COAD)的预后和指导治疗。我们试图解决由于肿瘤异质性和不同治疗反应导致的COAD预后挑战。方法:采用综合生物信息学方法对来自公共数据库的多组学数据进行分析,包括基因表达谱、临床数据和乳酸化相关基因(LRGs)。最小绝对收缩和选择算子(LASSO)回归分析和Cox风险模型应用于开发预后特征。在四个独立的COAD队列(GSE39582、GSE71187、GSE75500和GSE17536)中评估该特征的预测能力。通过功能富集、免疫浸润和scRNA-seq分析来研究生物过程和肿瘤微环境(TME)。此外,还进行了功能分析,以评估基因敲低对COAD细胞行为的影响。结果:确定了一个3基因特征(SUSD5, FABP4, CALB2),在多个队列中对COAD患者的临床结果显示出强大的预测性能。该特征揭示了关键的癌症相关生物学过程的参与,并显示了指导治疗决策的潜力。大量RNA-seq和scRNA-seq分析表明,LRGs调节TME,特别是免疫细胞群,如肥大细胞。敲低CALB2可显著抑制COAD细胞的增殖、侵袭和迁移。结论:这项综合分析确定了与乳酸酰化相关的特征,对COAD具有重要的预后和治疗意义。这些发现强调了乳酸化在COAD生物学中的重要性,并为制定个性化治疗策略提供了新的见解,可能会改善这种普遍恶性肿瘤的患者预后。
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来源期刊
Gene
Gene 生物-遗传学
CiteScore
6.10
自引率
2.90%
发文量
718
审稿时长
42 days
期刊介绍: Gene publishes papers that focus on the regulation, expression, function and evolution of genes in all biological contexts, including all prokaryotic and eukaryotic organisms, as well as viruses.
期刊最新文献
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