Evidence map›Paper›PMID 42674288›Full record

ArticleJournal of controlled release : official journal of the Controlled Release Society2026

Rapid Fc-mediated surface modification of liposomes with antibodies for selective targeting of pancreatic tumors.

Ibrahim Knani, Yasmin Habib, Galoz Kaneti, Orly Shayderman, Mohammed Alyan, Tasneem Abu-Raiya, Jeny Shklover, Avi Schroeder

Abstract read
In one paragraph

Article in Journal of controlled release : official journal of the Controlled Release Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Ibrahim KnaniThe Louis Family Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel; The Institute of Applied Research, The Galilee Society, Shefa-Amr, Israel; Medical Research Institute, The Holy Family Hospital, Nazareth 1641100, Israel(1). Electronic address: ibknani@gmail.com.
Yasmin HabibThe Louis Family Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel; The Norman Seiden Multidisciplinary Program for Nanoscience and Nanotechnology, Technion - Israel Institute of Technology, Haifa 32000, Israel.
Galoz KanetiThe Louis Family Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel.
Orly ShaydermanThe Louis Family Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel.
Mohammed AlyanThe Louis Family Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel.
Tasneem Abu-RaiyaThe Louis Family Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel.
Jeny ShkloverThe Louis Family Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel.
Avi SchroederThe Louis Family Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel. Electronic address: avids@technion.ac.il.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces a versatile platform for targeted drug delivery that addresses the complexities of conventional immunoliposome preparation. Traditional methods for conjugating a monoclonal antibody (mAb) to the surface of liposomes require target-specific chemical modification for each antibody, frequently resulting in suboptimal ligand orientation, steric hindrance of the antigen-binding sites, and a profound lack of modularity across different targeting systems. We developed Universal Particles (UPs), which are liposomal nanocarriers displaying high-affinity secondary antibodies on their surface. This design enables rapid, non-covalent functionalization by instantly binding to the constant (Fc) region of any whole-molecule primary targeting antibody without the need for chemical modification, thereby promoting a highly accessible, outward-facing display of the antigen-binding domains. In vitro experiments confirmed that UPs successfully functionalized with primary antibodies, leading to specific molecular recognition and enhancing cellular uptake of anti-Muc1/Muc4 UPs by Panc02 pancreatic cancer cells. Analytical flow cytometry confirmed the high expression of these target antigens in the Panc02 line, with 99.5% of cells expressing Muc1 and 99.9% expressing Muc4. In vivo biodistribution studies validated the platform's versatility: αCD31 UPs showed increased accumulation in the lungs, while dual anti-Muc1/Muc4 UPs demonstrated significantly enhanced tumor accumulation in a murine pancreatic tumor model compared with untargeted controls. The UP platform offers a simple approach for antibody-based liposomal targeting, providing a foundation for targeted delivery systems aimed at enhancing therapeutic selectivity and reducing off-target effects in preclinical models.

Indexed as

AntibodyCancerLiposomeNanotechnologyPDACTargeting

Identifiers

PMID42674288
PMCPMC7619544

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.