Evidence map›Paper›PMID 39172329›Full record

ReviewMolecular diagnosis & therapy2024

Clinical Progresses and Challenges of Bispecific Antibodies for the Treatment of Solid Tumors.

Yuheng Gu, Qi Zhao

Abstract readReview
In one paragraph

Review in Molecular diagnosis & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Emerging Immune-Based Therapeutic Strategies in Hepatocellular Carcinoma.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Bispecific Antibodies in Solid Tumors: Advances and Challenges.International journal of molecular sciences · 2025
    Review
  19. Review
  20. 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

2 authors.

Yuheng GuCancer Centre, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau SAR, 999078, China.
Qi ZhaoCancer Centre, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau SAR, 999078, China. qizhao@um.edu.mo.ORCID 0000-0002-5969-6407

Funding

National Key R&D Program of China 2019YFA0904400Natural Science Foundation of Guangdong Province 2023A1515010549Science and Technology Development Fund of Macau FDCT/0009/2023/RICUniversity of Macau MYRG2022-00143- FHSUniversity of Macau MYRG-GRG2023-00158-FHS-UMDF
6 · The paper itself

Abstract

In recent years, bispecific antibodies (BsAbs) have emerged as a promising therapeutic strategy against tumors. BsAbs can recruit and activate immune cells, block multiple signaling pathways, and deliver therapeutic payloads directly to tumor sites. This review provides a comprehensive overview of the recent advances in the development and clinical application of BsAbs for the treatment of solid tumors. We discuss the different formats, the unique mechanisms of action, and the clinical outcomes of the most advanced BsAbs in solid tumor therapy. Several studies have also analyzed the clinical progress of bispecific antibodies. However, this review distinguishes itself by exploring the challenges associated with bispecific antibodies and proposing potential solutions. As the field progresses, BsAbs hold promise to redefine cancer treatment paradigms and offer new hope to patients with solid tumors.

Indexed as

Antibodies, BispecificNeoplasmsAnimalsAntineoplastic Agents, ImmunologicalHumansImmunotherapyAntibodies, BispecificAntineoplastic Agents, Immunological

Identifiers

PMID39172329
PMCPMC11512917

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.