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A Comprehensive Bioinformatic Analysis Identifies a Tumor Suppressor Landscape of the MEG3 lncRNA in Breast Cancer

  • 0Department of Animal Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran.
Indian Journal of Surgical Oncology +

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November 18, 2024

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November 18, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Maternally expressed gene 3 (MEG3), a long non-coding RNA, is significantly downregulated in breast cancer (BC). This finding suggests MEG3 may serve as a crucial tumor suppressor and potential biomarker for BC diagnosis and prognosis.

Area Of Science

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background

  • Breast cancer (BC) is a leading cause of cancer mortality in women.
  • Non-coding RNAs (ncRNAs), especially long non-coding RNAs (lncRNAs), are increasingly recognized for their roles in cancer prognosis and diagnosis.
  • Effective strategies for early BC detection and treatment are critical.

Purpose Of The Study

  • To identify potential biomarkers for breast cancer using bioinformatic tools.
  • To investigate the role of Maternally Expressed Gene 3 (MEG3) as a potential biomarker in breast cancer.

Main Methods

  • Utilized a suite of bioinformatic tools including lncRNADisease v2.0, OncoDB, InteractiVenn, GEPIA, RAID, COXPRESdb, DAVID v6.8, GEO2R, and LncSEA.
  • Analyzed the expression levels and clinical associations of MEG3 in breast cancer.

Main Results

  • MEG3 was found to be significantly downregulated in breast cancer.
  • Downregulation of MEG3 correlated with tumor size, metastasis, and pathological stage.
  • MEG3 expression is reduced in various human cancers, suggesting a tumor-suppressive role.

Conclusions

  • MEG3 shows potential as a biomarker for breast cancer diagnosis and prognosis.
  • MEG3 may function as a tumor suppressor by influencing pathways like apoptosis and interacting with genes such as P53.
  • Further research into MEG3's role in BC proliferation, migration, invasion, and metastasis is warranted.

Keywords:

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