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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

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Four lncRNAs associated with breast cancer prognosis identified by coexpression network analysis

Jie Li1, Chundi Gao1, Cun Liu2

  • 1College of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, P. R. China.

Journal of Cellular Physiology
|January 9, 2019
PubMed

Insights

This study identifies four key long noncoding RNAs (lncRNAs) that are crucial for predicting breast cancer prognosis. These findings offer new insights into breast cancer biology and potential therapeutic targets.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Long noncoding RNAs (lncRNAs) have emerged as critical regulators in various cancers, including breast cancer.
  • Advancements in genomic analysis enable the exploration of lncRNA signatures for improved cancer treatment strategies.

Purpose of the Study:

  • To systematically analyze the breast cancer transcriptome and identify novel prognostic lncRNAs.
  • To develop a prognostic model based on key lncRNAs for risk-adaptive management of breast cancer.

Main Methods:

  • Transcriptome-wide analysis of 206 breast cancer samples from The Cancer Genome Atlas (TCGA) database.
  • Identification and analysis of gene coexpression modules to uncover relationships between lncRNAs and tumor biology.
  • Screening and validation of prognosis-related lncRNAs to construct a predictive model.

Main Results:

  • Nine coexpression modules were identified within the breast cancer transcriptome.
  • Four significant prognosis-related lncRNAs were identified: HOTAIR, SNHG16, HCP5, and TINCR.
  • A novel prognostic model was constructed, including HCP5, a lncRNA not previously associated with breast cancer prognosis.

Conclusions:

  • The identified lncRNAs (HOTAIR, SNHG16, HCP5, TINCR) are important prognostic indicators in breast cancer.
  • The developed prognostic model aids in precise disease risk assessment and informs risk-adaptive management strategies.
  • These findings expand the understanding of lncRNA roles in breast cancer, highlighting their clinical significance and therapeutic potential.
Keywords:
breast cancergene coexpressionlncRNA

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