Tu Zhiwei, Wang Youtao, Liang Junze, Liu Jinping
State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Front Immunol. 2024 Nov 28;15:1500921. doi: 10.3389/fimmu.2024.1500921. eCollection 2024.
, a globally prevalent pathogen Group I carcinogen, presents a formidable challenge in gastric cancer prevention due to its increasing antimicrobial resistance and strain diversity. This comprehensive review critically analyzes the limitations of conventional antibiotic-based therapies and explores cutting-edge approaches to combat infections and associated gastric carcinogenesis. We emphasize the pressing need for innovative therapeutic strategies, with a particular focus on precision medicine and tailored vaccine development. Despite promising advancements in enhancing host immunity, current vaccine clinical trials have yet to achieve long-term efficacy or gain approval regulatory approval. We propose a paradigm-shifting approach leveraging artificial intelligence (AI) to design precision-targeted, multiepitope vaccines tailored to multiple subtypes. This AI-driven strategy has the potential to revolutionize antigen selection and optimize vaccine efficacy, addressing the critical need for personalized interventions in eradication efforts. By leveraging AI in vaccine design, we propose a revolutionary approach to precision therapy that could significantly reduce -associated gastric cancer burden.
作为一种全球流行的病原体和一类致癌物,由于其日益增加的抗菌耐药性和菌株多样性,在胃癌预防方面提出了严峻挑战。本综述批判性地分析了传统抗生素疗法的局限性,并探索了对抗感染及相关胃癌发生的前沿方法。我们强调迫切需要创新治疗策略,尤其注重精准医学和定制疫苗开发。尽管在增强宿主免疫力方面取得了有前景的进展,但目前的疫苗临床试验尚未实现长期疗效或获得监管批准。我们提出一种范式转变方法,利用人工智能(AI)设计针对多种亚型的精准靶向多表位疫苗。这种人工智能驱动的策略有可能彻底改变抗原选择并优化疫苗效力,满足根除幽门螺杆菌工作中对个性化干预的迫切需求。通过在疫苗设计中利用人工智能,我们提出一种革命性的精准治疗方法,可显著减轻幽门螺杆菌相关的胃癌负担。