ABCA家族基因在胃癌中的表达、预后意义和免疫相关作用:一项综合分析

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Yongli Hu, Tianxiang Liu, Yan Du, Zhisheng Qiu, Mingxu Da, Pengxue Mao
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引用次数: 0

摘要

背景:先前的研究表明,ABCA家族蛋白在胆固醇转运中起关键作用。胆固醇作为细胞膜的主要组成部分,可以影响许多生理和病理过程,包括细胞迁移、癌症进展和转移。因此,ABCA家族蛋白可能影响癌症进展;然而,它们在胃癌中的具体作用仍然知之甚少。方法:在本研究中,我们系统地评估了ABCA家族基因在胃癌(GC)中的表达、预后意义和免疫相关意义。利用来自癌症基因组图谱(TCGA)数据库的数据,我们比较了胃癌和正常胃粘膜的ABCA表达谱。我们通过Kaplan-Meier分析、Cox回归和logistic回归来研究与临床特征的相关性,构建ROC曲线和nomogram用于诊断评估,单样本基因集富集分析(ssGSEA)算法评估ABCA与免疫细胞浸润、免疫相关基因、免疫检查点基因的关系,肿瘤免疫功能障碍和排斥(TIDE)预测对免疫检查抑制剂治疗的反应。“oncopdict”功能用于化疗耐药分析。我们还使用基因集富集分析(GSEA)来评估相关的信号通路。为了验证我们的发现,我们用PCR证实了ABCA在胃癌和正常胃粘膜细胞中的表达。结果:我们的研究结果表明,与正常组织相比,大多数ABCA家族成员在GC组织中的表达存在显著差异,并与临床病理参数相关。细胞实验揭示了ABCA基因在GC细胞系中的不同表达模式,其中一些与TCGA数据一致,另一些则表现出变异性。差异表达转录物与总生存率相关,使ABCAs成为胃癌患者生存的独立危险因素。经验证的nomogram预测总生存率。ABCAs与免疫细胞浸润、免疫相关基因和检查点基因的共表达以及对普通疗法和免疫疗法的耐药性相关。富集分析强调了涉及细胞外基质、细胞运动、细胞死亡和肿瘤发展的途径。结论:总之,由于ABCA家族基因与肿瘤微环境,特别是与免疫细胞浸润相关,因此它们有望成为预后生物标志物和潜在的免疫治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Expression, Prognostic Significance, and Immune-Related Roles of ABCA Family Genes in Gastric Cancer: A Comprehensive Analysis.

Background: Previous studies have demonstrated that ABCA family proteins play a critical role in cholesterol transport. Cholesterol, as a major component of the cell membrane, can influence numerous physiological and pathological processes, including cell migration, cancer progression, and metastasis. Therefore, ABCA family proteins may impact cancer progression; however, their specific roles in gastric cancer remain poorly understood. Methods:In this study, we systematically assessed the expression, prognostic significance, and immune-related implications of ABCA family genes in gastric cancer (GC). Utilizing data from The Cancer Genome Atlas (TCGA) database, we compared ABCA expression profiles between GC and normal gastric mucosa. We conducted Kaplan-Meier analysis, Cox regression, and logistic regression to investigate associations with clinical characteristics, constructed ROC curves and nomograms for diagnostic evaluation, and single sample gene set enrichment analysis (ssGSEA) algorithm assessed ABCA relationships with immune cell infiltration, immune-related genes, immune checkpoint genes, the tumor immune dysfunction and exclusion (TIDE) predicts response to immuno-check inhibitor therapy, "oncoPredict" function for chemotherapy drug resistance analysis. We also employed Gene Set Enrichment Analysis (GSEA) to evaluate relevant signaling pathways. To validate our findings, we performed PCR to confirm ABCA expression in gastric cancer and normal gastric mucosal cells.

Results: Our results demonstrate significant differential expression of most ABCA family members in GC tissues compared to normal tissues, with associations to clinicopathological parameters. Cellular experiments revealed distinct expression patterns of ABCA genes in GC cell lines, with some aligning with TCGA data and others showing variability. Differentially expressed transcripts correlated with overall survival, making ABCAs independent risk factors for GC patient survival. A validated nomogram predicted overall survival. ABCAs exhibited correlations with immune cell infiltration, co-expression with immune-associated and checkpoint genes, and implications for resistance to common therapies and immunotherapy. Enrichment analysis highlighted pathways involving the extracellular matrix, cell motility, cell death, and tumor development.

Conclusion: In conclusion, ABCA family genes hold promise as prognostic biomarkers and potential immunotherapeutic targets due to their relevance in the tumor microenvironment, particularly in relation to immune cell infiltration.

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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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