ReviewWiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
Instigation of the epoch of nanovaccines in cancer immunotherapy.
Review in Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- From Innate to Adaptive: Paradigm Shifts and Frontier Challenges in Next-Generation Vaccine Design.Vaccines · 2026Review
- Nanotechnology-enabled immunomodulation in esophageal cancer: targeting the tumor microenvironment to overcome therapeutic barriers.Frontiers in immunology · 2026Review
- Despicable role of epithelial-mesenchymal transition in breast cancer metastasis: ExhibitingCancer pathogenesis and therapy · 2025Review
- Plant-Derived Anti-Cancer Therapeutics and Biopharmaceuticals.Bioengineering (Basel, Switzerland) · 2024Review
- Plant Virus Nanoparticles Combat Cancer.Vaccines · 2023Review
- Biomaterials Facilitating Dendritic Cell-Mediated Cancer Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Review
- Immunotherapy: Constructive Approach for Breast Cancer Treatment.Breast cancer (Dove Medical Press) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Cancer is an unprecedented proliferation of cells leading to abnormalities in differentiation and maturation. Treatment of primary and metastatic cancer is challenging. In addition to surgery, chemotherapy and radiation therapies have been conventionally used; however, they suffer from severe toxicity and non-specificity. Immunotherapy, the science of programming the body's own defense system against cancer has gained tremendous attention in the last few decades. However, partial immunogenic stimulation, premature degradation and inability to activate dendritic and helper T cells has resulted in limited clinical success. The era of nanomedicine has brought about several breakthroughs in various pharmaceutical and biomedical fields. Hereby, we review and discuss the interplay of tumor microenvironment (TME) and the immunological cascade and how they can be employed to develop nanoparticle-based cancer vaccines and immunotherapies. Nanoparticles composed of lipids, polymers and inorganic materials contain useful properties suitable for vaccine development. Proteinaceous vaccines derived from mammalian viruses, bacteriophages and plant viruses also have unique advantages due to their immunomodulation capabilities. This review accounts for all such considerations. Additionally, we explore how attributes of nanotechnology can be utilized to develop successful nanomedicine-based vaccines for cancer therapy. This article is categorized under: Nanotechnology Approaches to Biology > Nanoscale Systems in Biology Therapeutic Approaches and Drug Discovery > Nanomedicine for Oncologic Disease.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.