Nanotechnology-Based Cancer Vaccines: Translational Barriers and Emerging Strategies
Year: 2026
Type: article
Abstract: Cancer vaccines represent a promising strategy in cancer immunotherapy by inducing tumour-specific immune responses. However, their clinical efficacy remains limited due to challenges in antigen selection, including the distinction between self and non-self-antigens, as well as issues related to antigen delivery, immune activation, and tumour immune evasion. Advances in nanotechnology have introduced innovative approaches to improve vaccine stability, targeted delivery, and immunogenicity. Nanoparticle-based platforms, including lipid, polymeric, inorganic nanoparticles, and virus-like particles, enable efficient delivery of tumour antigens and immunostimulatory adjuvants to antigen-presenting cells, thereby enhancing adaptive immune responses. Despite these advances, several translational challenges persist, including immunosuppressive tumour microenvironments, inefficient lymph node targeting, safety concerns, and manufacturing limitations. This review summarizes key nanoparticle platforms used in cancer vaccine development and discusses major barriers to their clinical translation. We also emphasize platform-selection criteria, cargo-dependent carrier design, nanoparticle size constraints, engineering strategies used to improve cytosolic delivery and endosomal escape, and the current clinical pipeline of cancer nanovaccines. Additionally, emerging strategies such as personalized nanovaccines, mRNA vaccine platforms, and combination immunotherapies are highlighted as promising approaches to improve therapeutic efficacy. These advances are expected to accelerate the clinical translation of nanotechnology-enabled cancer vaccines and support the development of next-generation cancer immunotherapies.
Source: Vaccines
Authors: Muneera Anwer, Rifat Rahman
Institution: Griffith University
Language: English
Subfield: Immunology
Field: Immunology and Microbiology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,258
OpenAlex ID: W7162105929