Evidence map›Paper›PMID 42445280›Full record

ReviewTherapeutics and clinical risk management2026

Immune Checkpoint Inhibitors in Breast Cancer: Mechanisms, Biomarkers, and Future Therapeutic Strategies.

Qiu-Chan Deng, Wen-Bin Kuang, Yu-Jing Yang, Cai-Ping Gong, Yi-Peng Zhang, Qiong Luo, Liu-Ping Luo, Guang-Ming Wang

Abstract readReview
In one paragraph

Review in Therapeutics and clinical risk management, 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.

Qiu-Chan DengDepartment of Clinical Laboratory, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, 518110, People's Republic of China.
Wen-Bin KuangDepartment of Clinical Laboratory, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, 518110, People's Republic of China.
Yu-Jing YangLaboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, 510080, People's Republic of China.
Cai-Ping GongLaboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, 510080, People's Republic of China.
Yi-Peng ZhangDepartment of Clinical Laboratory, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, 518110, People's Republic of China.
Qiong LuoDepartment of Hematology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, 510080, People's Republic of China.
Liu-Ping LuoDepartment of Hematology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, 510080, People's Republic of China.
Guang-Ming WangDepartment of Administrative, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, 518110, People's Republic of China.ORCID 0009-0005-2702-6686

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The landscape of breast cancer treatment has been fundamentally transformed by the emergence of immune checkpoint inhibitors (ICIs), representing a paradigm shift from traditional cytotoxic approaches to precision immunotherapy. This comprehensive review examines the current state and future directions of ICIs in breast cancer, with particular emphasis on triple-negative breast cancer (TNBC) where these therapies have shown the most promise. We explore the mechanistic foundations of checkpoint inhibition targeting CTLA-4, PD-1, and PD-L1 pathways, examine resistance mechanisms and predictive biomarkers, and discuss emerging targets including LAG-3, TIM-3, and TIGIT. The integration of ICIs with conventional therapies has yielded encouraging clinical outcomes, leading to the first FDA approvals for immunotherapy in breast cancer. However, significant challenges remain in identifying optimal patient populations, overcoming resistance mechanisms, and developing robust predictive biomarkers. This review synthesizes current evidence from recent clinical trials and provides insights into future therapeutic strategies that promise to enhance the efficacy of immune checkpoint blockade in breast cancer treatment.

Indexed as

biomarkersbreast cancerimmune checkpoint inhibitorsimmunotherapyresistance mechanismstumor microenvironment

Identifiers

PMID42445280
PMCPMC13360958

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.