ReviewClinical reviews in allergy & immunology2025
PD-1/PD-L1 Cancer Immunotherapeutics Reshape Tumor Microenvironment - Clinical Evidence and Molecular Mechanisms for AI-based Precision Medicine.
Review in Clinical reviews in allergy & immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Targeting the PD-L1-induced PDK4/GLS metabolic axis overcomes anti-PD-1 resistance in non-small cell lung cancer.Journal for immunotherapy of cancer · 2026Article
- The Nicotinic Acetylcholine Receptor-Macrophage Axis in Merkel Cell Carcinoma: Evidence, Limitations, and Therapeutic Hypotheses.International journal of molecular sciences · 2026Review
- PD-L1 and PD-L2 regulate in cell-autonomous and N-glycosylation-dependent manners the pro-tumorigenic characteristics and functions of human cancer-associated fibroblasts.Molecular medicine (Cambridge, Mass.) · 2026Article
- Gut Microbiota Metabolic Reprogramming Drives Endocrine and Immune Resistance in Hormone-Dependent Cancers.Cancers · 2026Review
- Peripheral blood biomarkers in PD-1/PD-L1 immunotherapy: distinguishing predictive from prognostic biomarkers.Frontiers in immunology · 2026Review
- The role of USP19 in human diseases: from molecular function to clinical relevance.Frontiers in immunology · 2026Review
- Membrane-modified mesoporous silica nanoparticles guided by tumor immunomodulatory regulation for anti-tumor strategies.Frontiers in immunology · 2026Review
- Cancer-Associated Fibroblast-Targeted Nanomedicine in Solid Tumor Therapy: From Mechanisms of Therapeutic Resistance to Precision Stromal Modulation.International journal of nanomedicine · 2026Review
- Innovative practice research of empowerment of artificial intelligence into blended teaching in exercise physiology.Frontiers in physiology · 2026Article
- Late-phase strategies to overcome limitations of PD-1/PD-L1 therapy: a clinical development trajectory through 2030.Frontiers in oncology · 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
6 authors.
Funding
Abstract
PD-1 (Programmed cell death protein 1) located on T cells, binds to PD-L1 (Programmed cell death ligand 1) on cancer cells, to suppress T cell activation and enable immune evasion. Hitherto, reviews have mainly highlighted the role of PD-1/PD-L1 in anti-cancer immunomodulation, anti-cancer therapy resistance, and immune-related adverse events. However, there are critical modes of enhancement of therapeutic efficacy, which remain underappreciated. This review provides a holistic perspective on: (a) a comprehensive analysis of recent clinical trials targeting PD-1/PD-L1, specifically on the use of immune checkpoint inhibitors (ICIs); (b) the underlying molecular mechanisms of immune surveillance; (c) the role of ubiquitin-mediated post-translational modifications (PTMs, viz the ubiquitin machinery); and (d) the gut microbiome crosstalk with the PD-1/PD-L1 axis, which influences the tumor microenvironment (TME). Clarity gained from opinions exerted from these four factors, in this review, will provide insights on improving cancer prevention, diagnosis, and treatment, thus bridging translational research to the clinic. These standpoints will be presented with a view to advocating the integration of precision medicine with AI, to accelerate the discovery of more effective ICIs and enhance mono-/combinatorial drug strategies for PD-1/PD-L1-targeted therapy. Altogether, this review opines that AI-driven analytics will provoke an innovative impact on promoting clinical outcomes beneficial for cancer patients.
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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.