ReviewOpen life sciences2025
Advances in cancer immunotherapy and future directions in personalized medicine.
Review in Open life sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Induced Pluripotent Stem Cell-Derived NK Cells as an Off-the-Shelf Platform for Cancer Immunotherapy: Opportunities, Challenges, and Clinical Translation.Stem cell reviews and reports · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer immunotherapy has revolutionized oncologic treatment by harnessing and reprogramming the immune system to target malignant cells. This review provides a comprehensive picture of modern approaches to immunotherapy-based treatment strategies, such as immune checkpoint inhibitors (ICIs), chimeric antigen receptor T cells, mRNA vaccines, and biomaterials-based platforms, with a focus on their translational value and application to precision medicine. Emerging insights into the tumor microenvironment, immune resistance mechanisms, and T-cell subpopulation dynamics (e.g., γδ T cells, exhausted CD8⁺ T cells) are analyzed to elucidate immunotherapy response variability. Biomaterials such as injectable scaffolds, nanogels, and artificial antigen-presenting cells enable localized and sustained immune modulation, improving delivery precision and therapeutic efficacy. Personalized approaches, including neoantigen vaccine development and artificial intelligence (AI)-assisted biomarker prediction, are rapidly advancing individualized treatment regimens. Clinical trials illustrate how combination strategies with ICIs, chemotherapy, and nanomedicine enhance patient survival. Despite challenges including immune-related adverse events, manufacturing complexity, and global access disparities, integration of AI and multi-omics platforms promises to optimize patient stratification and therapeutic outcomes. This evolving paradigm positions personalized immunotherapy at the forefront of future oncologic care.
Indexed as
Identifiers
What Socratic 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 Socratic graph.