Evidence map›Paper›PMID 38726001›Full record

ArticleFrontiers in immunology2024

Identification of molecular subtypes based on chromatin regulator-related genes and experimental verification of the role of ASCL1 in conferring chemotherapy resistance to breast cancer.

Yilun Li, Xiaolu Yang, Cuizhi Geng, Yunjiang Liu, Tiantian Tang, Lina Zhang, Fei Liu, Meng Zhang, Jun Hao, Li Ma

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 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

10 authors.

Yilun LiDepartment of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Xiaolu YangDepartment of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Cuizhi GengDepartment of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Yunjiang LiuDepartment of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Tiantian TangDepartment of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Lina ZhangDepartment of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Fei LiuResearch Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Meng ZhangDepartment of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Jun HaoDepartment of Pathology, Hebei Medical University, Shijiazhuang, China.
Li MaDepartment of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this study was to identify the molecular subtypes of breast cancer based on chromatin regulator-related genes. Methods: The RNA sequencing data of The Cancer Genome Atlas-Breast Cancer cohort were obtained from the official website, while the single-cell data were downloaded from the Gene Expression Omnibus database (GSE176078). Validation was performed using the Molecular Taxonomy of Breast Cancer International Consortium dataset. Furthermore, the immune characteristics, tumor stemness, heterogeneity, and clinical characteristics of these molecular subtypes were analyzed. The correlation between chromatin regulators and chemotherapy resistance was examined Results: This study identified three stable molecular subtypes with different prognostic and pathological features. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and protein-protein interaction analyses revealed that the differentially expressed genes were associated with disease processes, such as mitotic nuclear division, chromosome segregation, condensed chromosome, and specific chromosome region. The T stage and subtypes were correlated with the clinical features. Tumor heterogeneity (mutant-allele tumor heterogeneity, tumor mutational burden, purity, and homologous recombination deficiency) and tumor stemness (RNA expression-based stemness score, epigenetically regulated RNA expression-based stemness score, DNA methylation-based stemness score, and epigenetically regulated DNA methylation-based stemness score) significantly varied between the three subtypes. Furthermore, Western blotting, qRT-PCR, and CCK8 assays demonstrated that the expression of ASCL1 was positively correlated with chemotherapy resistance in breast cancer. Conclusion: This study identified the subtypes of breast cancer based on chromatin regulators and analyzed their clinical features, gene mutation status, immunophenotype, and drug sensitivity. The results of this study provide effective strategies for assessing clinical prognosis and developing personalized treatment strategies.

Indexed as

Basic Helix-Loop-Helix ProteinsBreast NeoplasmsDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticBiomarkers, TumorCell Line, TumorChromatinFemaleGene Expression ProfilingHumansPrognosisASCL1 protein, humanBasic Helix-Loop-Helix ProteinsBiomarkers, TumorChromatinASCL1breast cancerchemotherapy resistancechromatin regulatorsmolecular subtypes

Identifiers

PMID38726001
PMCPMC11079216

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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.