Radiation-induced esophagitis and lung injury during esophageal squamous cell cancer therapy is correlated to tumor gene expression phenotype.

IF 2.1 4区 医学 Q3 TOXICOLOGY
Toxicology Research Pub Date : 2025-05-04 eCollection Date: 2025-06-01 DOI:10.1093/toxres/tfaf062
Wenwen Xu, Yi Wang, Congshu Zhang, Yuqing Chai, Junfeng Gao, Zheng Cao, Yunhong Xia, Hongxia Li
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引用次数: 0

Abstract

Radiation esophagitis (RE) and Radiation-induced lung injury (RILI) are the main side effects of radiotherapy for esophageal squamous cell cancer (ESCC), which seriously affect the quality of life and therapeutic effect of patients. Then, how to reduce the incidence of RE and RILI is an important topic. We try to establish RE and RILI's prediction scheme based on the gene expression patterns in tumor tissues from patients with ESCC. A total of 37 patients who pathological preliminary diagnosed as ESCC and received radical radiotherapy from 2016 January 1 to 2019 December 31 were enrolled in this study. Use 3-plex qPCR to detect gene expression in ESCC. Our results showed that gene expressions in the Mitogen-activated protein (MAP) kinase signaling (HRAS, MAP2K1, MAPK1, CRAF and KRAS) were positively related to Severe RE (SRE), while Fibroblast growth factor (FGF) signaling showed a negative correlation. We established a c-Index calculation model to predict SRE. Receiver operating characteristic curve were applied to determine the prognostic value of the risk model. Besides, patients with SRE seem to be more easily to develop higher-level of RILI. Taken together, we constructed a novel radiotherapy response-related gene signature, which may be developed into a powerful tool for forecasting the risk of SRE in ESCC radiotherapy patients.

食管鳞状细胞癌治疗过程中放射性食管炎和肺损伤与肿瘤基因表达表型相关。
放射性食管炎(RE)和放射性肺损伤(RILI)是食管鳞状细胞癌(ESCC)放疗的主要副作用,严重影响患者的生活质量和治疗效果。因此,如何降低RE和RILI的发生率是一个重要的课题。我们试图建立基于ESCC患者肿瘤组织中基因表达模式的RE和RILI预测方案。本研究共纳入2016年1月1日至2019年12月31日病理初步诊断为ESCC并接受根治性放疗的患者37例。采用3-plex qPCR检测ESCC中基因表达。结果显示,丝裂原活化蛋白(MAP)激酶信号通路(HRAS、MAP2K1、MAPK1、CRAF和KRAS)的基因表达与严重RE (SRE)呈正相关,而成纤维细胞生长因子(FGF)信号通路的基因表达与严重RE (SRE)呈负相关。我们建立了预测SRE的c-Index计算模型。应用受试者工作特征曲线确定风险模型的预后价值。此外,SRE患者似乎更容易发生较高水平的RILI。综上所述,我们构建了一个新的放疗反应相关基因标记,它可能成为预测ESCC放疗患者SRE风险的有力工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Toxicology Research
Toxicology Research TOXICOLOGY-
CiteScore
3.60
自引率
0.00%
发文量
82
期刊介绍: A multi-disciplinary journal covering the best research in both fundamental and applied aspects of toxicology
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