Gang Ran , Mao Hu , Jinyao Zhang , Wenkun Zhu , Yuanyuan Liang , Tangzhi Dai , Yan Zhou , Xiaoan Li , Qing Wang
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Molecular mechanism underlying radiation resistance in esophageal squamous cell carcinoma
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.
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.