Evidence map›Paper›PMID 41476945›Full record

ReviewiScience2025

Advances in the clinical application of bispecific antibodies in cancer therapy.

Shiqi Zhou, Feng Li, Mengke Niu, Kongming Wu, Tianye Li, Ming Yi

Abstract readReview
In one paragraph

Review in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. 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

6 authors.

Shiqi ZhouDepartment of Gynecology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.
Feng LiDepartment of Pulmonary Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Mengke NiuDepartment of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Kongming WuCancer Center, Shanxi Bethune Hospital, Shanxi Academy of Medical Science, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Shanxi, China.
Tianye LiDepartment of Gynecology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.
Ming YiDepartment of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer immunotherapy has emerged as one of the most groundbreaking advancements. However, the tumor microenvironment (TME) is often dominated by various immunosuppressive factors, compromising the efficacy of single-target therapies, leading to non-responsiveness or resistance. Bispecific antibodies (BsAbs) represent an innovative immunotherapeutic strategy with enormous potential for improving cancer treatment outcomes. Unlike monoclonal antibodies, BsAbs can concurrently inhibit multiple pro-tumor pathways, target immune checkpoints to mitigate resistance, and bind to two distinct antigens, thereby enhancing specificity while minimizing off-target effects. Moreover, BsAbs are more cost-efficient and less toxic compared to the use of two separate monoclonal antibodies in combination. In recent decades, BsAbs have made remarkable progress in clinical development. Several BsAbs, such as blinatumomab, mosunetuzumab, teclistamab, glofitamab, epcoritamab, talquetamab, ivonescimab, cadonilimab, tarlatamab, zenocutuzumab, and catumaxomab, have achieved notable success in clinical trials. This review highlights clinically approved BsAbs and provides a comprehensive summary of their therapeutic applications in cancer treatment.

Indexed as

Cellular therapyOncologyTherapeutics

Identifiers

PMID41476945
PMCPMC12752755

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.