ReviewFrontiers in immunology2025
Beyond monoclonal antibodies: constraints and the case for alternative PD-1/PD-L1-targeting formats.
Review in Frontiers in immunology, 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.
- Anti-PD-1 single-chain variable fragments in cancer immunotherapy: from molecular engineering to clinical translation.Cancer chemotherapy and pharmacology · 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Programmed cell death protein 1 (PD-1)/programmed death-ligand 1 (PD-L1) blockade has reshaped immuno-oncology, with antibodies establishing benchmarks for survival and durability of response across multiple tumor types. Yet format-related constraints of monoclonal antibodies persist, including incomplete and heterogeneous intratumoral penetration, long half-life with limited real-time toxicity control, immune-related toxicities, and context-dependent resistance within the tumor microenvironment. This Review synthesizes the current landscape and near-term prospects of complementary or alternative modalities for PD-1/PD-L1 pathway control. Within antibody-based approaches, we first consider clinical combinations of classical PD-1/PD-L1 antibodies and then review bispecific antibodies that integrate blockade with co-inhibition or context-dependent co-stimulation, reduced-size antibody scaffolds with tunable pharmacokinetics and diffusion, Fc-engineered formats to modulate effector functions, and locally delivered or gene-encoded fragments that intensify intratumoral exposure. Beyond conventional antibodies, we appraise non-antibody biologics and small-molecule agents, including small molecules that promote PD-L1 dimerization to occlude the PD-1 interface, as well as decoy receptors and aptamers, and delivery-focused strategies that enable spatially constrained or vectorized pathway modulation. Across these modalities, we emphasize fit-for-context design that links target biology to the physicochemical profile of each format and route of administration, and we consolidate evidence from preclinical to late-phase settings. Building on prior reviews that have cataloged clinical outcomes of PD-1/PD-L1 antibodies and provided in-depth overviews of individual emerging modalities, this article adopts a format-centered, cross-modality conceptual framework that connects antibody-intrinsic and microenvironmental constraints to the design and emerging clinical positioning of alternative PD-1/PD-L1-targeting modalities, to clarify when and how intensification or format switching is most likely to be beneficial. We conclude that PD-1/PD-L1 antibodies retain a foundational role, while additional modalities are positioned to serve as complementary or alternative options that mitigate inherent physical and biological limitations when matched to the spatial, cellular, and pharmacological constraints of individual tumors.
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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.