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基于肿瘤浸润免疫细胞的肿瘤微环境评分及相关基因特征与结直肠癌患者的生存及对氟嘧啶类化疗的反应相关。

Tumor-infiltrating immune cells based TMEscore and related gene signature is associated with the survival of CRC patients and response to fluoropyrimidine-based chemotherapy.

作者信息

Guo Xian-Wen, Li Si-Qi, Lei Rong-E, Ding Zhen, Hu Bang-Li, Lin Rong

机构信息

Department of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Department of Gastroenterology, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.

出版信息

Front Oncol. 2022 Aug 30;12:953321. doi: 10.3389/fonc.2022.953321. eCollection 2022.

Abstract

BACKGROUND

Tumor-infiltrating immune cells (TIICs) are associated with chemotherapy response. This study aimed to explore the prognostic value of a TIIC-related tumor microenvironment score (TMEscore) in patients with colorectal cancer (CRC) who underwent chemotherapy and construct a TMEscore-related gene signature to determine its predictive value.

METHODS

Gene profiles of patients who underwent fluoropyrimidine-based chemotherapy were collected, and their TIIC fractions were calculated and clustered. Differentially expressed genes (DEGs) between clusters were used to calculate the TMEscore. The association between the TMEscore, chemotherapy response, and survival rate was analyzed. Machine learning methods were used to identify key TMEscore-related genes, and a gene signature was constructed to verify the predictive value.

RESULTS

Two clusters based on the TIIC fraction were identified, and the TMEscore was calculated based on the DEGs of the two clusters. The TMEscore was higher in patients who responded to chemotherapy than in those who did not, and was associated with the survival rate of patients who underwent chemotherapy. Three machine learning methods, support vector machine (SVM), decision tree (DT), and Extreme Gradient Boosting (XGBoost), identified three TMEscore-related genes (ADH1C, SLC26A2, and NANS) associated with the response to chemotherapy. A TMEscore-related gene signature was constructed, and three external cohorts validated that the gene signature could predict the response to chemotherapy. Five datasets and clinical samples showed that the expression of the three TMEscore-related genes was increased in tumor tissues compared to those in control tissues.

CONCLUSIONS

The TIIC-based TMEscore was associated with the survival of CRC patients who underwent fluoropyrimidine-based chemotherapy, and predicted the response to chemotherapy. The TMEscore-related gene signature had a better predictive value for response to chemotherapy than for survival.

摘要

背景

肿瘤浸润免疫细胞(TIICs)与化疗反应相关。本研究旨在探讨TIIC相关肿瘤微环境评分(TMEscore)在接受化疗的结直肠癌(CRC)患者中的预后价值,并构建与TMEscore相关的基因特征以确定其预测价值。

方法

收集接受基于氟嘧啶化疗患者的基因谱,计算并聚类其TIIC分数。利用聚类间差异表达基因(DEGs)计算TMEscore。分析TMEscore、化疗反应和生存率之间的关联。采用机器学习方法识别与TMEscore相关的关键基因,并构建基因特征以验证其预测价值。

结果

基于TIIC分数鉴定出两个聚类,并根据两个聚类的DEGs计算TMEscore。化疗反应者的TMEscore高于无反应者,且与接受化疗患者的生存率相关。支持向量机(SVM)、决策树(DT)和极端梯度提升(XGBoost)这三种机器学习方法识别出三个与化疗反应相关的TMEscore相关基因(ADH1C、SLC26A2和NANS)。构建了与TMEscore相关的基因特征,三个外部队列验证了该基因特征可预测化疗反应。五个数据集和临床样本显示,与对照组织相比,肿瘤组织中三个TMEscore相关基因的表达增加。

结论

基于TIIC的TMEscore与接受基于氟嘧啶化疗的CRC患者的生存相关,并可预测化疗反应。与TMEscore相关的基因特征对化疗反应的预测价值优于对生存的预测价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba22/9468757/735b8c56cbe5/fonc-12-953321-g001.jpg

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