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胃癌中铂类耐药特征的鉴定与验证

Identification and validation of platinum resistance signature in gastric cancer.

作者信息

Yan Wenjing, Zhu Nan, Zhao Yupeng, Sang Qingqing, Li Jianfang, Liu Bingya, Yang Zhongyin, Yu Beiqin

机构信息

Department of General Surgery, Shanghai Key Laboratory of Gastric Neoplasms, Shanghai Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.

Department of General Surgery, Zhongda Hospital Southeast University, Nanjing, 210009, China.

出版信息

Cancer Cell Int. 2025 Apr 13;25(1):141. doi: 10.1186/s12935-025-03777-z.

Abstract

BACKGROUND

Platinum was the first drug with proven activity against gastric cancer (GC), the combination with fluoropyrimidine is the standard first-line systemic therapy for patients of GC. However, a major cause of treatment failure still is the existence of drug resistance. The purpose of this study is to identify and validate the platinum-related genes in GC and to construct a multi-gene joint signature for predicting the prognosis of GC patients.

METHODS

Based on 326 platinum-related genes from GeneCards, GO and KEGG analysis were applied for differentially expressed genes in GC, UniCox regression analysis was used to select effective genes and Lasso-Cox regression was utilized to construct a prognosis model. Stratified analysis, CNV landscape, TMB and MSI status, HLA gene expression, GSEA and GSVA analysis, immune activities, immunotherapy sensitivities were evaluated in the resistant high and low groups. Drug resistant cell lines, PDO and PDX models were used to validate this signature.

RESULTS

GO analysis of 140 differentially expressed genes were involved in many processes and KEGG pathways were enriched in platinum resistance and cancer. UniCox regression analysis was screened out 21 genes and conducted a platinum resistance scoring model. Stratified analysis indicated that the drug resistance score had a good predictive value in subgroups divided by T-stage, age and race. CNV changes were more occurred in the score-high group, and most model genes were negatively correlated with TMB, MSI and HLA gene expression. The immune score in resistant group was significantly higher, within more mast cell, regulatory T cell and dendritic cell infiltrated in. In vitro and in vivo models showed that 21 platinum resistance genes had varying degrees of upregulation under CDDP chemotherapy pressure.

CONCLUSIONS

The 21 gene-signature for platinum was developed to predict response to platinum chemotherapy for GC patients. It is worthwhile to further evaluate the molecular biology and the clinical applications of this signature.

摘要

背景

铂类是首个被证实对胃癌(GC)有效的药物,与氟嘧啶联合是GC患者的标准一线全身治疗方案。然而,治疗失败的一个主要原因仍然是耐药性的存在。本研究的目的是鉴定和验证GC中与铂相关的基因,并构建一个多基因联合特征用于预测GC患者的预后。

方法

基于来自GeneCards的326个铂相关基因,对GC中的差异表达基因进行GO和KEGG分析,采用单因素Cox回归分析筛选有效基因,利用Lasso-Cox回归构建预后模型。在耐药高分组和低分组中评估分层分析、CNV图谱、肿瘤突变负荷(TMB)和微卫星不稳定性(MSI)状态、HLA基因表达、基因集富集分析(GSEA)和基因集变异分析(GSVA)、免疫活性、免疫治疗敏感性。使用耐药细胞系、患者来源的肿瘤组织(PDO)和患者来源的肿瘤异种移植(PDX)模型验证该特征。

结果

对140个差异表达基因的GO分析涉及许多过程,KEGG通路在铂耐药和癌症中富集。单因素Cox回归分析筛选出21个基因并构建了铂耐药评分模型。分层分析表明,耐药评分在按T分期、年龄和种族划分的亚组中具有良好的预测价值。CNV变化在高分值组中更易发生,且大多数模型基因与TMB、MSI和HLA基因表达呈负相关。耐药组的免疫评分显著更高,其中有更多的肥大细胞、调节性T细胞和树突状细胞浸润。体外和体内模型显示,在顺铂化疗压力下,21个铂耐药基因有不同程度的上调。

结论

开发了21个基因的铂类特征用于预测GC患者对铂类化疗的反应。进一步评估该特征的分子生物学和临床应用是值得的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b23/11995506/51b8e6b1f612/12935_2025_3777_Fig1_HTML.jpg

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