Evidence map›Paper›PMID 42370129›Full record

ArticleFrontiers in oncology2026

Bulk and single-cell RNA sequencing data identified HMGB3 of chromatin regulators as a breast cancer biomarker associated with the cell cycle.

Huan Wang, Luhui Li, Dingyuan Tu, Ping Shen, Zheyao Song, Mengjiao An, Xudong Li, Qi Ji, Peng Chen, Rongjun Cui

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

10 authors.

Huan WangDepartment of Biochemistry and Molecular Biology, Mudanjiang Medical University, Mudanjiang, Heilongjiang, China.
Luhui LiDepartment of Biochemistry and Molecular Biology, Mudanjiang Medical University, Mudanjiang, Heilongjiang, China.
Dingyuan TuDepartment of Pathology and Transfusion Medicine, The 961st Hospital of the Joint Logistics, Support Force of The Chinese People's Liberation Army, Qiqihar, Heilongjiang, China.
Ping ShenDepartment of Laboratory, Daqing Traditional Chinese Medicine Hospital, Daqing, Heilongjiang, China.
Zheyao SongDepartment of Laboratory, Bei'an First People's Hospital, Heihe, Heilongjiang, China.
Mengjiao AnDepartment of Biochemistry and Molecular Biology, Mudanjiang Medical University, Mudanjiang, Heilongjiang, China.
Xudong LiDepartment of Biochemistry and Molecular Biology, Mudanjiang Medical University, Mudanjiang, Heilongjiang, China.
Qi JiUnit 93313, People's Liberation Army of China, Changchun, China.
Peng ChenDepartment of Pathology and Transfusion Medicine, The 961st Hospital of the Joint Logistics, Support Force of The Chinese People's Liberation Army, Qiqihar, Heilongjiang, China.
Rongjun CuiDepartment of Biochemistry and Molecular Biology, Mudanjiang Medical University, Mudanjiang, Heilongjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chromatin regulators (CRs) have been reported to modulate tumorigenesis and progression in multiple pathophysiological processes, but little is known about theirs role and association with the immune microenvironment in breast cancer (BRCA). Methods: This study identified differential CRs gene expression in BRCA using transcriptome sequencing data and single-cell RNA sequencing data. We investigated the biological function of HMGB3 gene using western blot, transwell assay and immunohistochemistry (IHC). Results: In this research, eleven CRs were discovered and utilized to create a prognostic model. Using median risk scores, patients were sorted into high- and low-risk groups. The nomogram created from this model precisely predicted overall survival (OS). Low-risk patients had notably higher immune cells infiltrating. IHC provided additional evidence that the expression levels of HMGB3 are closely linked to BRCA. Conclusion: Based on bioinformatics analysis of the prognostic value of CRs in BRCA, we identified that HMGB3 as a novel target molecule to promote the occurrence and development of BRCA.

Indexed as

bioinformaticsbreast cancerchromatin regulatorsimmune microenvironmentsingle cell RNA sequencing technology

Identifiers

PMID42370129
PMCPMC13293801

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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.