Evidence map›Paper›PMID 40936705›Full record

ReviewFrontiers in oncology2025

Immunotherapy resistance in triple-negative breast cancer: Molecular mechanisms, tumor microenvironment, and therapeutic implications.

Zijian Zhou, Qin Zhou

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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.

Zijian ZhouSchool of Medicine, Jiangsu University, Zhenjiang, China.
Qin ZhouDepartment of Breast Surgery, Affiliated Kunshan Hospital of Jiangsu University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is a unique subtype of breast cancer characterized by high invasiveness, high metastasis rates, and poor prognosis, making it an important focus within global malignancies. Due to the absence of estrogen receptor, progesterone receptor, and HER2 expression, TNBC presents significant challenges in treatment. Metastatic progression markedly increases treatment complexity, drastically reducing patient survival rates. The metastatic and drug resistance processes of TNBC involve complex, multi-step biological mechanisms regulated through various molecular mechanisms and signaling pathways within and outside tumor cells. In recent years, immunotherapy has brought new hope for TNBC. Compared to other breast cancer subtypes, TNBC demonstrates higher immunogenicity, often accumulating a higher mutational burden that generates more neoantigens, thus typically resulting in a tumor microenvironment (TME) enriched with tumor-infiltrating lymphocytes (TILs). Additionally, PD-L1 expression is significantly higher in TNBC compared to other subtypes, closely correlating with TIL abundance. These characteristics position TNBC as a strong candidate for immune checkpoint inhibitor (ICI) therapy. Clinical trials have demonstrated promising efficacy of ICIs in TNBC, overturning previous beliefs that breast cancer is generally insensitive to immunotherapy. This review summarizes recent advances regarding resistance types, molecular mechanisms, associated genes and pathways, the role of the tumor microenvironment, and clinical strategies related to immunotherapy resistance in the neoadjuvant setting of TNBC, aiming to provide insights and guidance for future research exploration and clinical practice.

Indexed as

drug resistance mechanismgenetic mutationspersonalized therapyreview literaturesignaling pathwaystriple-negative breast cancer

Identifiers

PMID40936705
PMCPMC12420258

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.