Molecular mechanism underlying radiation resistance in esophageal squamous cell carcinoma

IF 3.1 4区 生物学 Q2 BIOLOGY
Gang Ran , Mao Hu , Jinyao Zhang , Wenkun Zhu , Yuanyuan Liang , Tangzhi Dai , Yan Zhou , Xiaoan Li , Qing Wang
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引用次数: 0

Abstract

Esophageal squamous cell carcinoma (ESCC) is a major global health challenge, especially in Asia, due to its high incidence, mortality and poor prognosis. As there are no reliable early - diagnosis biomarkers, ESCC is often detected at an advanced stage, when radiotherapy becomes the main treatment. However, the emergence of radioresistance significantly compromises treatment efficacy, leading to tumor recurrence and metastasis. Although some research has been done on the mechanisms of ESCC radiation resistance, a comprehensive understanding remains elusive. To address this knowledge gap and identify more molecular targets for overcoming radiation resistance, we established a radioresistant ESCC cell model and conducted systematic 4D label-free proteomic profiling. Quantitative analysis revealed 364 differentially expressed proteins, predominantly enriched in nucleotide excision repair, glutathione metabolism, and insulin resistance pathways. Functional validation identified TXNDC12 as a critical regulator of radioresistance, and its overexpression is significantly associated with enhanced glutathione synthesis and intracellular ROS scavenging. This study provides the first proteomic evidence linking redox homeostasis modulation through TXNDC12-GSH axis activation to ESCC radioresistance, offering novel therapeutic targets for overcoming radiation resistance and improving clinical outcomes in advanced ESCC management.
食管鳞状细胞癌放射耐药的分子机制
食管鳞状细胞癌(ESCC)是一个主要的全球健康挑战,特别是在亚洲,由于其高发病率、死亡率和预后差。由于没有可靠的早期诊断生物标志物,ESCC通常在晚期才被发现,这时放疗成为主要的治疗方法。然而,放射耐药的出现严重影响了治疗效果,导致肿瘤复发和转移。虽然对ESCC耐辐射的机制已经做了一些研究,但尚未有全面的认识。为了解决这一知识缺口并确定更多克服辐射抗性的分子靶点,我们建立了ESCC细胞模型并进行了系统的4D无标记蛋白质组学分析。定量分析发现364个差异表达蛋白,主要富集于核苷酸切除修复、谷胱甘肽代谢和胰岛素抵抗途径。功能验证证实TXNDC12是辐射耐药的关键调节因子,其过表达与增强谷胱甘肽合成和细胞内ROS清除显著相关。本研究首次提供了通过TXNDC12-GSH轴激活氧化还原稳态调节与ESCC放射耐药相关的蛋白质组学证据,为克服放射耐药和改善晚期ESCC治疗的临床结果提供了新的治疗靶点。
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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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