Evidence map›Paper›PMID 41602431›Full record

ReviewFrontiers in oncology2025

HPV, APOBEC3B, and the origins of breast cancer: a narrative review and perspectives on novel mechanisms.

Zhi-Yong Liu, Ran Chen

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 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. Article
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.

Zhi-Yong LiuDepartment of Breast Treatment, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.
Ran ChenDepartment of Breast Treatment, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is one of the most severe global health challenges, with its incidence continuing to rise. The development of this malignancy is associated with numerous risk factors; however, its primary etiology often remains unclear. Research on the potential association between breast cancer and carcinogenic human papillomavirus (HPV) has been conducted for three decades, yet a definitive consensus has not been reached. The development of prophylactic cervical cancer vaccines has greatly heightened the urgency of this issue: if a causal relationship can be established, it would open a feasible avenue for preventing this common cancer. This review aims to systematically integrate relevant evidence and provide a critical commentary on the association between HPV and breast cancer. We analyzed evidence from 34 studies on HPV DNA detection in breast cancer cells. We discuss the prevalence and genotypes of HPV detected in breast cancer across different geographical regions, the state of the viral genome (integrated vs. episomal), viral load, and potential mechanisms for HPV-associated breast carcinogenesis-particularly its role in inducing genomic instability via activation of APOBEC3B. Additionally, we explore the histopathological and clinical characteristics of HPV-positive breast cancer. The synthesized evidence suggests that high-risk HPV types are present in a subset of breast cancers worldwide, but with lower viral loads compared to cervical cancer, indicating a potentially different mode of action. The association between HPV and breast cancer warrants further rigorous investigation to clarify its clinical and preventive implications.

Indexed as

APOBEC3Bbreast cancerhuman papillomaviruspreventionreviewviral carcinogenesis

Identifiers

PMID41602431
PMCPMC12832664

What OpenQuestion 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 OpenQuestion graph.