Evidence map›Paper›PMID 42344894›Full record

ArticleFrontiers in immunology2026

Decoding the landscape of bispecific antibodies in breast cancer: insights from a comprehensive trial analysis.

Siyuan Yang, Zhirui Chuan, Shoutao Yang, Jianyun Nie

Abstract read
In one paragraph

Article in Frontiers in immunology, 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

4 authors.

Siyuan Yang *Department of Breast Surgery, Peking University Cancer Hospital Yunnan Hospital, Yunnan Cancer Hospital, Third Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China.
Zhirui Chuan *Department of Ultrasound, Peking University Cancer Hospital Yunnan Hospital, Yunnan Cancer Hospital, Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Shoutao YangDepartment of Labor Union, Peking University Cancer Hospital Yunnan Hospital, Yunnan Cancer Hospital, Third Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China.
Jianyun NieDepartment of Breast Surgery, Peking University Cancer Hospital Yunnan Hospital, Yunnan Cancer Hospital, Third Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bispecific antibodies (bsAbs) represent a novel therapeutic strategy for breast cancer by leveraging diverse mechanisms of action (MOA) to overcome the limitations of conventional therapies. However, systematic analyses of bsAbs in breast cancer remain scarce. Based on the Trialtrove database (search up to September 7, 2025), we identified 193 eligible clinical trials investigating bsAbs in breast cancer. Our analysis reveals a significant surge in trials beginning in 2019, peaking in 2023. While most trials are in early phases (73.58%), the emergence of Phase III studies since 2023 signals a maturation trend. Immune checkpoint modulation dominates (64.77%), with PD-1/PD-L1 blockade as the leading strategy, followed by HER2-targeting bsAbs. Completed trials with positive outcomes highlight PD-1-based and HER2-targeted bsAbs as the most promising candidates. These findings provide a data-driven roadmap for bsAbs development in breast cancer, emphasizing the need to optimize target combinations and identify predictive biomarkers.

Indexed as

Antibodies, BispecificAntineoplastic Agents, ImmunologicalBreast NeoplasmsClinical Trials as TopicErb-b2 Receptor Tyrosine KinasesFemaleHumansImmune Checkpoint InhibitorsImmunotherapyProgrammed Cell Death 1 ReceptorAntibodies, BispecificAntineoplastic Agents, ImmunologicalErb-b2 Receptor Tyrosine KinasesImmune Checkpoint InhibitorsProgrammed Cell Death 1 Receptorbispecific antibodybreast cancerclinical trialsimmunotherapyPD-1/PD-L1

Identifiers

PMID42344894
PMCPMC13287128

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.