Evidence map›Paper›PMID 41027848›Full record

ArticleMacromolecular rapid communications2026

pH-Triggered Cell Surface Anti-Hapten Antibody Recruitment by Amphiphilic Block Copolymers Containing Ionizable Amines and Haptens in the Hydrophobic Block.

Haixia Peng, Benoit Louage, Jamie De Baere, Lutz Nuhn, Bruno G De Geest

Abstract read
In one paragraph

Article in Macromolecular rapid communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Haixia PengDepartment of Pharmaceutics, Ghent University, Ghent, Belgium.
Benoit LouageDepartment of Pharmaceutics, Ghent University, Ghent, Belgium.
Jamie De BaereDepartment of Pharmaceutics, Ghent University, Ghent, Belgium.
Lutz NuhnInstitute of Functional Materials and Biofabrication, Department of Chemistry and Pharmacy, Julius Maximilians-Universität Würzburg, Würzburg, Germany.
Bruno G De GeestDepartment of Pharmaceutics, Ghent University, Ghent, Belgium.ORCID https://orcid.org/0000-0001-9826-6170

Funding

CSCFlemish GovernmentFWO G081624N
6 · The paper itself

Abstract

Cancer progression often results from immune evasion mechanisms within the tumor microenvironment (TME). Therapeutic interventions leveraging the immune system's molecular tools, such as monoclonal antibodies (mAbs), have revolutionized oncological treatments by enhancing immune responses against cancer cells. However, the efficacy of mAbs is limited by the specificity of tumor antigens. Here, we introduce a novel class of pH-sensitive antibody-recruiting molecules based on amphiphilic block copolymers. These copolymers, containing pH-responsive azepanyl motifs, undergo micelle-to-unimer transitions under mildly acidic conditions characteristic of solid tumors. Functionalized with dinitrophenol (DNP) hapten motifs, these polymers facilitate electrostatic interactions with cell surfaces in the acidic TME, enabling targeted recruitment of anti-DNP antibodies. Our findings demonstrate pH-dependent nanoparticle formation, enhanced cellular association at acidic pH, and selective antibody recruitment, warranting further investigations for tumor-targeted immunotherapy independent of specific tumor antigens.

Indexed as

AminesAntibodies, MonoclonalHaptensPolymersSurface-Active AgentsHumansHydrogen-Ion ConcentrationHydrophobic and Hydrophilic InteractionsTumor MicroenvironmentAminesAntibodies, MonoclonalHaptensPolymersSurface-Active Agentsantibodiesblock copolymersimmune therapystimuli‐responsive

Identifiers

PMID41027848
PMCPMC13384790

What OpenQuestion holds

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Registered trials

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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.