Evidence mapPaperPMID 39055652Full record

ArticleFrontiers in cell and developmental biology2024

Metformin reduces basal subpopulation and attenuates mammary epithelial cell stemness in FVB/N mice.

Minghui Shan, Qiong Cheng, Amanda B Parris, Lingfei Kong, Xiaohe Yang, Yujie Shi

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Article in Frontiers in cell and developmental biology, 2024. 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Minghui ShanDepartment of Pathology, People's Hospital of Zhengzhou University, Zhengzhou, Hena, China.
Qiong ChengDepartment of Pathology, People's Hospital of Zhengzhou University, Zhengzhou, Hena, China.
Amanda B ParrisBiomedical/Biotechnology Research Institute, Department of Biological and Biomedical Sciences, North Carolina Research Campus, North Carolina Central University, Kannapolis, NC, United States.
Lingfei KongDepartment of Pathology, People's Hospital of Zhengzhou University, Zhengzhou, Hena, China.
Xiaohe YangDepartment of Pathology, People's Hospital of Zhengzhou University, Zhengzhou, Hena, China.
Yujie ShiDepartment of Pathology, People's Hospital of Zhengzhou University, Zhengzhou, Hena, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metformin shows promise in breast cancer prevention, but its underlying mechanisms remain unclear. This study investigated the impact of metformin on the repopulation dynamics of mammary epithelial cells (MECs) and the signaling pathways in non-tumorigenic FVB/N mice. This study aimed to enhance our understanding of the role of metformin in reducing the susceptibility of MECs in premalignant tissues to oncogenic factors. In this study, female mice were administered 200 mg/kg/day of metformin via intraperitoneal (i.p.) injection from 8 to 18 weeks of age. After this treatment period, morphogenesis, flow cytometry, analyses of MEC stemness, and RNA sequencing were performed. The study findings indicated that metformin treatment in adult mice reduced mammary gland proliferation, as demonstrated by decreased Ki67+ cells and lateral bud formation. Additionally, metformin significantly reduced both basal and mammary repopulating unit subpopulations, indicating an impact on mammary epithelial cell repopulation. Mammosphere, colony-forming cell, and 3D culture assays revealed that metformin adversely affected mammary epithelial cell stemness. Furthermore, metformin downregulated signaling in key pathways including AMPK/mTOR, MAPK/Erk, PI3K/Akt, and ER, which contribute to its inhibitory effects on mammary proliferation and stemness. Transcriptome analysis with RNA sequencing indicated that metformin induced significant downregulation of genes involved in multiple critical pathways. KEGG-based pathway analysis indicated that genes in PI3K/Akt, focal adhesion, ECM-receptor, small cell lung cancer and immune-modulation pathways were among the top groups of differentially regulated genes. In summary, our research demonstrates that metformin inhibits MEC proliferation and stemness, accompanied by the downregulation of intrinsic signaling. These insights suggest that the regulatory effects of metformin on premalignant mammary tissues could potentially delay or prevent the onset of breast cancer, offering a promising avenue for developing new preventive strategies.

Indexed as

basal epithelial cellsbreast cancer preventionestrogen receptormammary stem cellsmetforminreceptor tyrosine kinase

Identifiers

PMID39055652
PMCPMC11269140

What Socratic holds

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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 Socratic graph.