Abstract B010: Design of personalized neoantigen mRNA vaccines against breast cancer patients in Pakistan based on next-generation sequencing data

Abstract Breast cancer is the most common malignancy among women in Pakistan, with an outrageous increase in the incidence and mortality rate. Because of decreased effectiveness and lower survival rates, there is an urgent need for developing novel, personalized vaccines with enhanced activity. The development of a personalized mRNA vaccine illustrates a promising approach to combating the prevalence of breast cancer. We used the whole exome sequencing (WES) data of Pakistani tumor samples to predict immunogenic neoantigens. The WES data was aligned to the GRCM39 reference genome using BWA. The genome analysis toolkit (GATK) was employed for variant calling to identify somatic mutations. Using immune-bioinformatics tools, we predicted cytotoxic CD8+ T cell epitopes and helper CD4+ T cell epitopes within the identified neoantigens and designed vaccines by assembling the fusion of CTL neoepitopes, helper sequences, and adjuvants together with linkers. The Insilco ImmSim algorithm was used to examine the immune responses of the vaccine. The vaccine design was further explored by checking its simulation effect on the immune system, its physiochemical characteristics, its binding to specific immune system molecules, and cloning into an appropriate vector. In addition, molecular docking, MD simulation, and binding free energies were performed to investigate the interaction mechanism between the construct vaccine and Toll-like receptors (TLR2, TLR4, TLR7, and TLR9).By examining these factors, we aimed to ensure the vaccine's safety, stability, and ability to bind tightly to specific immune cells (class I MHC molecules), ultimately triggering a comprehensive immune response against breast cancer cells. Citation Format: Kayode Yomi Raheem, Muhammad Muddassar. Design of personalized neoantigen mRNA vaccines against breast cancer patients in Pakistan based on next-generation sequencing data [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr B010.