Interleukin-12 (IL-12) is considered to be a promising cytokine for enhancing an antitumor immune response; however, recombinant IL-12 has shown significant toxicity and limited efficacy in early clinical trials. Recently, many strategies for delivering IL-12 to tumor tissues have been developed, such as modifying IL-12, utilizing viral vectors, non-viral vectors, and cellular vectors. Previous studies have found that the fusion of IL-12 with extracellular matrix proteins, collagen, and immune factors is a way to enhance its therapeutic potential. In addition, studies have demonstrated that viral vectors are a good platform, and a variety of viruses such as oncolytic viruses, adenoviruses, and poxviruses have been used to deliver IL-12—with testing previously conducted in various cancer models. The local expression of IL-12 in tumors based on viral delivery avoids systemic toxicity while inducing effective antitumor immunity and acting synergistically with other therapies without compromising safety. In addition, lipid nanoparticles are currently considered to be the most mature drug delivery system. Moreover, cells are also considered to be drug carriers because they can effectively deliver therapeutic substances to tumors. In this article, we will systematically discuss the anti-tumor effects of IL-12 on its own or in combination with other therapies based on different delivery strategies.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) protein subunit vaccine is one of the mainstream technology platforms for the development of COVID-19 vaccines, and most R&D units use the receptor-binding domain (RBD) or spike (S) protein as the main target antigen. The complexity of vaccine design, sequence, and expression systems makes it urgent to establish common antigen assays to facilitate vaccine development. In this study, we report the development of a double-antibody sandwich enzyme-linked immunosorbent assay (ELISA) to determine the antigen content of SARS-CoV-2 protein subunit vaccines based on the United States Pharmacopeia and ICH (international conference on harmonization) Q14 and Q2 (R2) requirements. A monoclonal antibody (mAb), 20D8, was identified as the detection antibody based on its high RBD binding activity (EC50 = 8.4 ng/mL), broad-spectrum anti-variant neutralizing activity (EC50: 2.7–9.8 ng/mL for pseudovirus and EC50: 9.6–127 ng/mL for authentic virus), good in vivo protection, and a recognized linear RBD epitope (369–379 aa). A porcine anti-RBD polyclonal antibody was selected as the coating antibody. Assay performance met the requirements of the analytical target profile with an accuracy and precision of ≥90% and adequate specificity. Within the specification range of 70–143%, the method capability index was >0.96; the misjudgment probability was <0.39%. The method successfully detected SARS-CoV-2 protein subunit vaccine antigens (RBD or S protein sequences in Alpha, Beta, Gamma, or Delta variants) obtained from five different manufacturers. Thus, we present a new robust, reliable, and general method for measuring the antigenic content of SARS-CoV-2 protein subunit vaccines. In addition to currently marketed and emergency vaccines, it is suitable for vaccines in development containing antigens derived from pre-Omicron mutant strains.

Oncolytic virus (OV) immunotherapy, particularly with oncolytic herpes simplex virus (oHSV), has become a promising new strategy in cancer treatment. This field has achieved significant clinical milestones, highlighted by the FDA approval of Talimogene laherparepvec (T-VEC) for melanoma in 2015 and the approval of Teserpaturev/G47Δ for malignant glioma in Japan in 2021. This review synthesizes the key preclinical and clinical advancements in oHSV therapy over the last decade, critically analyzing the core challenges in target selection, genetic modification, administration routes, and targeted delivery. Key findings indicate that arming oHSV with immunomodulatory transgenes, such as cytokines and antibodies, and combining it with immune checkpoint inhibitors are critical strategies for enhancing therapeutic efficacy. Future research will focus on precision engineering using CRISPR/Cas9, the development of novel delivery vehicles like nanoparticles and mesenchymal stem cells (MSCs), and biomarker-guided personalized medicine, aiming to provide safer and more effective solutions for refractory cancers. This review synthesizes oHSV advances and analyzes novel delivery and gene-editing strategies.

Cancer is one of the major global health burdens, and more effective treatments are needed. At present, there are surgery, targeted therapy, and immunotherapy for the treatment of tumors, but due to the limitations of diagnostic technology and drug resistance, surgery and targeted therapy have little effect. Active immunization in the field of immunotherapy can mobilize host immunity, trigger tumor-specific T-cell responses, and produce targeted cytotoxicity. Its efficacy largely depends on the targeted delivery efficiency of cancer vaccines. Although immunotherapy is more durable than other approaches, immunosuppression in the tumor microenvironment and immune evasion by malignant cells limit the therapeutic efficacy of cancer vaccines. To overcome these challenges, this review summarizes key strategies for improving vaccine vector targeting, as well as recent advances and trends in delivery systems.

Therapeutic cancer vaccines are a new growth point of biomedicine with broad industrial prospects in the post-COVID-19 era. Many large international pharmaceutical companies and emerging biotechnology companies are deploying different tumor therapeutic cancer vaccine projects, focusing on promoting their clinical transformation, and the vaccine industry has strong momentum for development. Such vaccines are also the core engine and pilot site for the development of new vaccine targets, new vectors, new adjuvants, and new technologies, which play a key role in promoting the innovation and development of vaccines. Various therapeutic cancer vaccines, such as viral vector vaccines, bacterial vector vaccines, cell vector vaccines, peptide vaccines, and nucleic acid vaccines, have all been applied in clinical research. With the continuous development of technology, therapeutic cancer vaccines are evolving towards the trends of precise antigens, efficient carriers, diversified adjuvants, and combined applications. For instance, the rapidly advancing mRNA-4157 vaccine is a typical representative that combines personalized antigens with efficient delivery vectors (lipid nanoparticles, LNPs), and it also shows synergistic advantages in melanoma patients treated in combination with immune checkpoint inhibitors. In this article, we will systematically discuss the current research and development status and clinical research progress of various therapeutic cancer vaccines.

Vaccinology has undergone a profound paradigm shift—from traditional empirical discovery to a rational, engineering-based discipline. This transformation is driven by the synergistic and iterative cycle between computational (in silico) prediction and rigorous experimental validation, now the cornerstone of modern, accelerated vaccine development. This review delineates the architecture of this integrated pipeline. We first survey the expanding computational toolbox for vaccine design, spanning immunoinformatics and reverse vaccinology for antigen discovery, AI-driven structure-based engineering of stabilized immunogens, and systems vaccinology for modeling immune dynamics. We then outline the “experimental gauntlet”: a hierarchy of biochemical, cellular, and in vivo preclinical assays that verify computational hypotheses—confirming molecular structures, binding kinetics, immunogenicity, and protective efficacy. The power of this fusion is exemplified by landmark case studies: the structure-guided triumph against Respiratory Syncytial Virus (RSV), the rapid development of COVID-19 mRNA vaccines, the iterative germline-targeting design of HIV immunogens, and the frontier of personalized neoantigen cancer vaccines. Together, these advances demonstrate that the union of predictive computation and empirical validation has moved from promise to proven paradigm. Looking ahead, emerging technologies such as generative AI and immune digital twins are poised to further accelerate this virtuous cycle, transforming vaccinology into a more precise, predictable, and rapid science capable of meeting future global health challenges.