Evidence map›Paper›PMID 40356722›Full record

ReviewFrontiers in molecular biosciences2025

APOBEC in breast cancer: a dual player in tumor evolution and therapeutic response.

Haiqi Lu, Zelin Lu, Yufei Wang, Miaoqin Chen, Guangliang Li, Xian Wang

Abstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Haiqi Lu *Department of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Zelin Lu *Department of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Yufei WangDepartment of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Miaoqin ChenDepartment of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Guangliang LiDepartment of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China.
Xian WangDepartment of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The APOBEC (Apolipoprotein B mRNA-editing enzyme, catalytic polypeptide-like) family of cytidine deaminases has emerged as pivotal a contributor to genomic instability and adaptive immunity through DNA/RNA editing. Accumulating evidence underscores their dual role in breast carcinogenesis-driving tumor heterogeneity via mutagenesis while simultaneously shaping immunogenic landscapes. This review synthesizes current insights into APOBEC-mediated molecular mechanisms, focusing on their clinical implications across breast cancer subtypes. Notably, APOBEC-driven mutagenesis correlates with elevated tumor mutational burden (TMB), replication stress vulnerability, and immune checkpoint inhibitor (ICI) responsiveness. Paradoxically, these mutations also accelerate endocrine therapy resistance and subclonal diversification. We propose APOBEC mutational signatures as predictive biomarkers for ICI efficacy and discuss therapeutic strategies leveraging APOBEC activity, including ATR inhibition and hypermutagenic immunotherapy. Harnessing APOBEC's duality-balancing its pro-immunogenic effects against genomic chaos-may redefine precision oncology in breast cancer.

Indexed as

APOBEC mutagenesisbreast cancer subtypesimmune checkpoint blockadetherapeutic resistancetumor mutational burden

Identifiers

PMID40356722
PMCPMC12066316

What Socratic holds

Textmetadata
LicenceCC BY
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.