摘 要：基于生物信息学分析构建预后预测模型，探讨特定溶质载体蛋白（SLC）相关基因与胃癌（GC）在免疫和预后方面的关系，从癌症基因组图谱（TCGA）和基因表达总库（GEO）数据库中下载RNA测序和临床数据，利用R软件提取差异表达的SLC相关基因。通过单因素和多因素Cox回归分析构建与胃癌预后密切相关的SLC相关基因的风险预测模型。通过Kaplan-Meier生存分析、回归分析和受试者工作特征（ROC）曲线等方法证实模型预后的预测性能，评估风险评分与免疫浸润细胞、肿瘤免疫微环境、临床特征的相关性。通过CCK-8、划痕、Transwell试验评估敲低SLC43A3对BGC-823细胞增殖和迁移的影响。筛选出115个差异表达的SLC相关基因，其中有14个基因与预后相关，选择其中8个基因构建预后风险评分模型。SLC相关基因预后模型具有较高的预测价值，与免疫细胞浸润异质性显著相关，可为GC患者个体化用药提供重要的参考。SLC43A3对胃癌细胞具有显著促进其增殖、迁移和侵袭的作用。本研究可能为胃癌的靶向治疗研究提供新的靶点。
关键词：胃癌；特定溶质载体蛋白；预后模型；免疫反应；生物信息学；
中图分类号：R735.2                        文献标志码：A                    DOI：10.3969/j.issn.1007-7146.2025.04.010

Abstract: Bioinformatics analysis-based construction of a prognostic prediction model to investigate the relationship between specific solute carrier protein (SLC)-related genes and gastric cancer (GC) in immunity and prognosis. RNA sequencing and clinical data were downloaded from the cancer genome atlas (TCGA) and gene expression omnibus (GEO) databases. Differential expression of SLC-related genes was extracted using R software. Univariate and multivariate Cox regression analyses were employed to construct a risk prediction model for GC prognosis based on SLC-related genes closely associated with survival. The prognostic performance of the model was validated through Kaplan-Meier survival analysis, regression analysis, and receiver operating characteristic (ROC) curves. Correlations between risk scores and immune-infiltrating cells, tumor immune microenvironment, and clinical features were assessed. The impact of SLC43A3 knockdown on the proliferation and migration of BGC-823 cells was evaluated via CCK-8, scratch wound healing, and Transwell assays. A total of 115 differentially expressed SLC-related genes were identified, with 14 genes linked to prognosis. Eight genes were selected to establish the prognostic risk scoring model. The SLC-related gene prognostic model demonstrates high predictive value and is significantly associated with heterogeneity in immune cell infiltration, providing important references for personalized medication in GC patients. Functional experiments revealed that SLC43A3 significantly promotes the proliferation, migration, and invasion of gastric cancer cells. This study may suggest novel therapeutic targets for GC targeted therapy research.
Key words: gastric cancer; specific solute carrier protein; prognostic model; immune reaction; bioinformatics
（Acta Laser Biology Sinica, 2025, 34(4): 374-384）