ArticleJournal for immunotherapy of cancer2021
Novel oncolytic adenovirus expressing enhanced cross-hybrid IgGA Fc PD-L1 inhibitor activates multiple immune effector populations leading to enhanced tumor killing in vitro, in vivo and with patient-derived tumor organoids.
Article in Journal for immunotherapy of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 44 papers, 1 of them a synthesis that pooled it.
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Who cites it
44 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.
- Global research trends and hotspots of colorectal cancer organoids: a bibliometric insight and visualization analysis via multiple databases.Frontiers in oncology · 2026Pooled it
- Retargeted adenoviruses for local IgA and CD47 blocker production as a novel cancer therapy.EMBO molecular medicine · 2026Article
- Clinical Progress in Virotherapy: Application and Future Prospects in Head and Neck Cancer.International journal of molecular sciences · 2026Review
- Harnessing Tumor Organoids to Revolutionize Immunotherapy Research.Cancer medicine · 2026Review
- Current use of pre-clinical models for evaluation of human adenovirus-based cancer therapeutics.Molecular therapy. Oncology · 2026Review
- Methods and applications of patient-derived organoid models for immune microenvironment and immunotherapy research in multiple cancer types.Experimental hematology & oncology · 2026Review
- Design andMaterials today. Bio · 2026Article
- Engineering immune-competent niches: strategies, applications, and translational hurdles in ovarian cancer organoid models.Frontiers in immunology · 2026Review
- Novel therapeutic strategies for ccRCC through integration of systemic drug combinations and oncolytic adenovirus immunotherapy.Frontiers in immunology · 2026Article
- Tumor organoids in cancer medicine: from model systems to natural compound screening.Pharmaceutical biology · 2025Review
- The application of organoids in treatment decision-making for digestive system cancers: progress and challenges.Molecular cancer · 2025Review
- Organoid models in oncology: advancing precision cancer therapy and vaccine development.Cancer biology & medicine · 2025Review
- The use of pancreatic ductal adenocarcinoma 2D and 3D models to evaluate NDV infection, replication and induced cell death.Scientific reports · 2025Article
- Imaging 3D cell cultures with optical microscopy.Nature methods · 2025Review
- The role of immune checkpoint molecules in cancers.Frontiers in immunology · 2025Review
- Synergy of oncolytic adenovirus and immune checkpoint inhibitors: transforming cancer immunotherapy paradigms.Frontiers in immunology · 2025Review
- Harnessing oncolytic viruses to overcome immunosuppression in breast cancer: from mechanisms to clinical translation.Frontiers in immunology · 2025Review
- Organoids as Sophisticated Tools for Renal Cancer Research: Extensive Applications and Promising Prospects.Cellular and molecular bioengineering · 2024Review
- Tutorial: design, production and testing of oncolytic viruses for cancer immunotherapy.Nature protocols · 2024Review
- Unveiling the functional roles of patient-derived tumour organoids in assessing the tumour microenvironment and immunotherapy.Clinical and translational medicine · 2024Review
Corrections and comments
- Erratum issued
Authors and funding
21 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite the success of immune checkpoint inhibitors against PD-L1 in the clinic, only a fraction of patients benefit from such therapy. A theoretical strategy to increase efficacy would be to arm such antibodies with Fc-mediated effector mechanisms. However, these effector mechanisms are inhibited or reduced due to toxicity issues since PD-L1 is not confined to the tumor and also expressed on healthy cells. To increase efficacy while minimizing toxicity, we designed an oncolytic adenovirus that secretes a cross-hybrid Fc-fusion peptide against PD-L1 able to elicit effector mechanisms of an IgG1 and also IgA1 consequently activating neutrophils, a population neglected by IgG1, in order to combine multiple effector mechanisms.
methodsThe cross-hybrid Fc-fusion peptide comprises of an Fc with the constant domains of an IgA1 and IgG1 which is connected to a PD-1 ectodomain via a GGGS linker and was cloned into an oncolytic adenovirus. We demonstrated that the oncolytic adenovirus was able to secrete the cross-hybrid Fc-fusion peptide able to bind to PD-L1 and activate multiple immune components enhancing tumor cytotoxicity in various cancer cell lines, in vivo and ex vivo renal-cell carcinoma patient-derived organoids.
resultsUsing various techniques to measure cytotoxicity, the cross-hybrid Fc-fusion peptide expressed by the oncolytic adenovirus was shown to activate Fc-effector mechanisms of an IgA1 (neutrophil activation) as well as of an IgG1 (natural killer and complement activation). The activation of multiple effector mechanism simultaneously led to significantly increased tumor killing compared with FDA-approved PD-L1 checkpoint inhibitor (Atezolizumab), IgG1-PDL1 and IgA-PDL1 in various in vitro cell lines, in vivo models and ex vivo renal cell carcinoma organoids. Moreover, in vivo data demonstrated that Ad-Cab did not require CD8+ T cells, unlike conventional checkpoint inhibitors, since it was able to activate other effector populations.
conclusionArming PD-L1 checkpoint inhibitors with Fc-effector mechanisms of both an IgA1 and an IgG1 can increase efficacy while maintaining safety by limiting expression to the tumor using oncolytic adenovirus. The increase in tumor killing is mostly attributed to the activation of multiple effector populations rather than activating a single effector population leading to significantly higher tumor killing.
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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.