Evidence map›Paper›PMID 39055004›Full record

ArticleChemical science2024

Macrophage-engaging peptidic bispecific antibodies (pBsAbs) for immunotherapy

Chihao Shao, Bo Tang, Jacky C H Chu, Kwai Man Lau, Wai-Ting Wong, Chi-Ming Che, William C S Tai, Wing-Tak Wong, Clarence T T Wong

Abstract read
In one paragraph

Article in Chemical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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  5. Review
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

9 authors.

Chihao ShaoDepartment of Applied Biology and Chemical Technology and State Key Laboratory of Chemical Biology and Drug Discovery, Hong Kong Polytechnic University Kowloon Hong Kong China william-cs.tai@polyu.edu.hk w.t.wong@polyu.edu.hk clarence-tt.wong@polyu.edu.hk.ORCID https://orcid.org/0009-0001-4017-422X
Bo TangDepartment of Applied Biology and Chemical Technology and State Key Laboratory of Chemical Biology and Drug Discovery, Hong Kong Polytechnic University Kowloon Hong Kong China william-cs.tai@polyu.edu.hk w.t.wong@polyu.edu.hk clarence-tt.wong@polyu.edu.hk.ORCID https://orcid.org/0000-0003-1777-4080
Jacky C H ChuLaboratory for Synthetic Chemistry and Chemical Biology Limited Units 1503-1511, 15/F, Building 17W, Hong Kong Science Park New Territories Hong Kong China.ORCID https://orcid.org/0000-0003-3858-3312
Kwai Man LauDepartment of Applied Biology and Chemical Technology and State Key Laboratory of Chemical Biology and Drug Discovery, Hong Kong Polytechnic University Kowloon Hong Kong China william-cs.tai@polyu.edu.hk w.t.wong@polyu.edu.hk clarence-tt.wong@polyu.edu.hk.ORCID https://orcid.org/0009-0007-5401-8088
Wai-Ting WongDepartment of Applied Biology and Chemical Technology and State Key Laboratory of Chemical Biology and Drug Discovery, Hong Kong Polytechnic University Kowloon Hong Kong China william-cs.tai@polyu.edu.hk w.t.wong@polyu.edu.hk clarence-tt.wong@polyu.edu.hk.ORCID https://orcid.org/0000-0002-9401-2752
Chi-Ming CheLaboratory for Synthetic Chemistry and Chemical Biology Limited Units 1503-1511, 15/F, Building 17W, Hong Kong Science Park New Territories Hong Kong China.ORCID https://orcid.org/0000-0002-2554-7219
William C S TaiDepartment of Applied Biology and Chemical Technology and State Key Laboratory of Chemical Biology and Drug Discovery, Hong Kong Polytechnic University Kowloon Hong Kong China william-cs.tai@polyu.edu.hk w.t.wong@polyu.edu.hk clarence-tt.wong@polyu.edu.hk.ORCID https://orcid.org/0000-0002-0771-7894
Wing-Tak WongDepartment of Applied Biology and Chemical Technology and State Key Laboratory of Chemical Biology and Drug Discovery, Hong Kong Polytechnic University Kowloon Hong Kong China william-cs.tai@polyu.edu.hk w.t.wong@polyu.edu.hk clarence-tt.wong@polyu.edu.hk.ORCID https://orcid.org/0000-0002-3453-1825
Clarence T T WongDepartment of Applied Biology and Chemical Technology and State Key Laboratory of Chemical Biology and Drug Discovery, Hong Kong Polytechnic University Kowloon Hong Kong China william-cs.tai@polyu.edu.hk w.t.wong@polyu.edu.hk clarence-tt.wong@polyu.edu.hk.ORCID https://orcid.org/0000-0001-8950-0033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bispecific antibodies are artificial molecules that fuse two different antigen-binding sites of monoclonal antibodies into one single entity. They have emerged as a promising next-generation anticancer treatment. Despite the fascinating applications of bispecific antibodies, the design and production of bispecific antibodies remain tedious and challenging, leading to a long R&D process and high production costs. We herein report an unprecedented strategy to cyclise and conjugate tumour-targeting peptides on the surface of a monoclonal antibody to form a novel type of bispecific antibody, namely the peptidic bispecific antibody (pBsAb). Such design combines the merits of highly specific monoclonal antibodies and serum-stable cyclic peptides that endows an additional tumour-targeting ability to the monoclonal antibody for binding with two different antigens. Our results show that the novel pBsAb, which comprises EGFR-binding cyclic peptides and an anti-SIRP-α monoclonal antibody, could serve as a macrophage-engaging bispecific antibody to initiate enhanced macrophage-cancer cell interaction and block the "don't eat me" signal between CD47-SIRP-α, as well as promoting antibody-dependent cellular phagocytosis and 3D cell spheroid infiltration. These findings give rise to a new type of bispecific antibody and a new platform for the rapid generation of new bispecific antibodies for research and potential therapeutic uses.

Identifiers

PMID39055004
PMCPMC11268508

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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.