Evidence map›Paper›PMID 39528829›Full record

ArticleDiscover oncology2024

Prognostic significance and identification of m6A regulator genes and hub genes associated with m6A in breast cancer.

Longjie Xia, Runchun Huang, Yingxiong Huang, Huixian Huang, Yunxiang Luo, Yixuan Qin, Shaoliang Zhu, Fanbiao Kong, Weiwei Miao

Abstract read
In one paragraph

Article in Discover oncology, 2024. 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. Methylation marks breast cancer metastasis: The roles of mThe Journal of biological chemistry · 2026
    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

9 authors.

Longjie Xia *Department of Cosmetology and Plastic Surgery Center, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, 530021, China.
Runchun Huang *Department of Cosmetology and Plastic Surgery Center, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, 530021, China.
Yingxiong Huang *Department of Emergency, The First Affiliated Hospital of Sun Yat-Sen University, No. 58 Zhongshan Road 2, Guangzhou, 510080, China.
Huixian Huang *Department of Plastic Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, China.
Yunxiang LuoDepartment of Plastic Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, China.
Yixuan QinDepartment of Cosmetology and Plastic Surgery Center, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, 530021, China. 269117647@qq.com.
Shaoliang ZhuDepartment of Hepatobiliary, Pancreas and Spleen Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, 530021, China. slzhu2014@163.com.
Fanbiao KongDepartment of Colorectal and Anal Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, 530021, China. surgeonkong2020@stu.jnu.edu.cn.
Weiwei MiaoInstitute of Oncology, Guangxi Academy of Medical Sciences, Nanning, 530021, Guangxi, China. 961133615@qq.com.

Funding

Guangxi Youth Science Fund Project 2023GXNSFBA026149Guangxi Youth Science Fund Project 2024JJB140125the Natural Science Foundation of Guangxi 2023GXNSFAA026143
6 · The paper itself

Abstract

This research endeavors to investigate the functions of N6-methyladenosine (m6A) regulatory genes and key genes linked to m6A modifications within the context of breast cancer (BC). The objective is to identify a promising predictive biomarker related to m6A modifications and validate its significance in BC through experimental methodologies. Utilizing data from The Cancer Genome Atlas (TCGA) database, a model for predicting prognosis was developed. Key genes connected to m6A modifications were discerned using weighted gene co-expression network analysis (WGCNA) coupled with LASSO and Cox regression analyses, which were then utilized to construct a predictive model. The influence of ZNF260 within BC was probed experimentally. The predictive model formulated using m6A regulatory genes and key m6A-associated genes demonstrated the capability to categorize BC patients into distinct risk groups effectively (all P < 0.001). Clinical sample analyses revealed notably elevated expression levels of ZNF260 in hormone receptor-positive/human epidermal growth factor receptor 2-negative (HR + /HER2-) BC tissues compared to adjacent non-tumor tissues (all P < 0.001). Reduction in ZNF260 expression was shown to inhibit the proliferation, clonogenicity, migration, and invasiveness of MCF-7 cells while concomitantly enhancing apoptosis (all P < 0.001).This investigation uniquely uncovered ZNF260 as a novel key gene, suggesting its potential utility as a predictive biomarker associated with m6A modifications specifically in HR + /HER2- BC.

Indexed as

Breast cancerHub genem6APrognosisRegulator geneZNF260

Identifiers

PMID39528829
PMCPMC11554984

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.