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April 1, 2026Journal of College of Physicians And Surgeons PakistanOpen Access

Multiscale Embedded Gene Co-Expression Network Combined with Mendelian Randomisation Analysis for the Molecular Pathogenesis of Breast Cancer

Yang Wang Rui Xie Haitao Zhang Zhicheng Ge

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Key Points

This research aims to explore the molecular mechanisms behind breast cancer using advanced analytical techniques.
Utilized a multiscale embedded gene co-expression network analysis (MEGENA)
Conducted Mendelian randomisation analysis to identify associations
Analyzed immune infiltration patterns within breast cancer samples.
Identified specific biomarkers linked to breast cancer development
Demonstrated significant immune infiltration in tumor samples
Revealed molecular pathways affecting cancer progression.

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Implication

Multiscale analysis reveals molecular pathways in breast cancer, suggesting potential biomarkers for treatment.

Abstract

Breast cancer, Mendelian randomisation, MEGENA, Biomarker, Immune infiltration.

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Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/69eb09ff553a5433e34b4459 https://doi.org/10.29271/jcpsp.2026.04.468

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