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通过结构免疫信息学和基于机器学习的模拟方法,利用新抗原针对结直肠癌进行多表位疫苗的合理设计。

Rational Design of a Multi-epitope Vaccine Using Neoantigen Against Colorectal Cancer Through Structural Immunoinformatics and ML-Enabled Simulation Approach.

作者信息

Bhattacharya Manojit, Sarkar Anindita, Wen Zhi-Hong, Wu Yueh-Jung, Chakraborty Chiranjib

机构信息

Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore, Odisha, 756020, India.

Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal, 700126, India.

出版信息

Mol Biotechnol. 2025 Jul;67(7):2817-2831. doi: 10.1007/s12033-024-01242-2. Epub 2024 Aug 27.

Abstract

Colorectal cancer poses a substantial global health burden. Regarding WHO, the global burden of colorectal cancer will be about 3.2 million new cases by the year 2040. Simultaneously, it indicated that this cancer will cause 6 million deaths per year. Despite advancements in chemotherapy and monoclonal antibody therapy, the disease remains a significant challenge due to the resistance of cancer stem cells. This study endeavors to design a multi-epitopic peptide (9-mer epitopes) neoantigen-based vaccine targeting the TLR4/MD2 complex as a potential vaccine candidate. These tumor-specific neoantigens (TSA) are considered novel antigens that can be used for vaccine development against cancer. To develop the neoantigen vaccine candidate, we used the SPENCER database, and 140 lncRNA-derived epitopes were retrieved. From 140 epitopes, we selected seven neoantigens with high antigenic properties for the vaccine construct. A novel vaccine containing epitopes, linkers (EAAAK and CPCPG), and adjuvants (ribosomal [50S] protein L7L12) was formulated utilizing immunoinformatics tools. The vaccine's biophysical properties were evaluated, revealing its antigenicity (0.6469), stability (instability index: 37.05), and potential for immune system interaction. In-depth structural analyses, molecular docking studies, and ML-enabled immune simulation profiling underscored the vaccine's structural integrity, binding affinity with TLR4, and ability to elicit robust immune responses against colorectal cancer antigens. These findings suggest that the multi-epitopic vaccine holds promise as a next-generation approach to combat colorectal cancer. Our in silico studies exhibit potentiality of the vaccine candidate; however, further in vivo and in vitro investigations are crucial to validate immunogenicity, safety, and efficacy before clinical implementation. Our study developed a first-time lncRNA-derived neoantigen-based cancer vaccine.

摘要

结直肠癌给全球健康带来了沉重负担。据世界卫生组织称,到2040年,全球结直肠癌负担将达到约320万新发病例。同时,该癌症每年将导致600万人死亡。尽管化疗和单克隆抗体疗法取得了进展,但由于癌症干细胞的耐药性,该疾病仍然是一个重大挑战。本研究致力于设计一种基于多表位肽(9聚体表位)新抗原的疫苗,靶向TLR4/MD2复合物,作为一种潜在的疫苗候选物。这些肿瘤特异性新抗原(TSA)被认为是可用于开发抗癌疫苗的新型抗原。为了开发新抗原疫苗候选物,我们使用了SPENCER数据库,并检索到140个lncRNA衍生的表位。从140个表位中,我们选择了7个具有高抗原性的新抗原用于疫苗构建。利用免疫信息学工具制备了一种包含表位、接头(EAAAK和CPCPG)和佐剂(核糖体[50S]蛋白L7L12)的新型疫苗。评估了该疫苗的生物物理特性,揭示了其抗原性(0.6469)、稳定性(不稳定指数:37.05)以及与免疫系统相互作用潜力。深入的结构分析、分子对接研究和基于机器学习的免疫模拟分析强调了该疫苗的结构完整性、与TLR4的结合亲和力以及引发针对结直肠癌抗原的强大免疫反应的能力。这些发现表明,多表位疫苗有望成为对抗结直肠癌的下一代方法。我们的计算机模拟研究展示了该疫苗候选物的潜力;然而,在临床实施之前,进一步的体内和体外研究对于验证免疫原性、安全性和有效性至关重要。我们的研究首次开发了一种基于lncRNA衍生新抗原的癌症疫苗。

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