ReviewMedical oncology (Northwood, London, England)2025
Next-generation oncology: integrative therapeutic frontiers at the crossroads of precision genomics, immuno-engineering, and tumor microenvironment modulation.
Review in Medical oncology (Northwood, London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Immunotherapy 3.0: Breakthroughs Steering the Next Generation of Cancer Control.Cancer reports (Hoboken, N.J.) · 2026Review
- Innovative approaches in the treatment of hematologic malignancies: the role of CRISPR-engineered microbiomes along the gut-immune axis in immunotherapy development.Cancer cell international · 2026Review
- Next generation approaches in cancer immunotherapy targeting mechanisms beyond PD1 and PDL1.Discover oncology · 2026Review
- Immunotherapy resistance and strategies in malignant pleural mesothelioma.Cancer drug resistance (Alhambra, Calif.) · 2026Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The landscape of oncology is undergoing a paradigm shift, transitioning from conventional cytotoxic therapies to an integrative, intelligence-driven framework that combines precision genomics, immunoengineering, and modulation of the tumor microenvironment (TME). This review explores how cancer, as a complex adaptive system (CAS), evolves through genetic, epigenetic, and microenvironmental interactions, necessitating dynamic, multi-dimensional therapeutic strategies. Review highlights the limitations of mono-targeted therapies and the emergence of synergistic approaches, including AI-guided adaptive dosing, synthetic biology-enhanced CAR-T cells, and metabolic reprogramming of the tumor microenvironment (TME). Breakthroughs in molecular cartography, quantum biology, synthetic oncology, and dark genome mining are expanding therapeutic frontiers. Meanwhile, immuno-engineering innovations-such as next-generation checkpoint modulators, logic-gated CAR-T cells, and neoantigen vaccines-are redefining immune-oncology. Additionally, TME-targeted strategies, including stromal remodeling, hypoxia modulation, and microbiome engineering, are helping to overcome treatment resistance. The convergence of multi-omics profiling, combinatorial therapeutics, and computational oncology (e.g., digital twins) is enabling real-time, personalized interventions. Despite these advances, challenges persist-therapeutic resistance, toxicity, accessibility, and ethical concerns-demanding interdisciplinary collaboration and equitable innovation. The future lies in adaptive, autonomous oncology, integrating AI, closed-loop therapies, and modular mRNA platforms to deliver precision medicine at scale. This review underscores the imperative for a unified, systems-based approach to transform cancer into a manageable condition.
Indexed as
Identifiers
40974488What 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.