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Exploring functions of long noncoding RNAs across multiple cancers through co-expression network.

Suqing Li1, Bin Li2, Yuanting Zheng2,3

  • 1College of Chemistry, Sichuan University, Chengdu, 610064, China.

Scientific Reports
|April 9, 2017
PubMed
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Long non-coding RNAs (lncRNAs) play crucial roles in cancer development. This study identifies 236 cancer-associated lncRNAs (onco-lncRNAs) and reveals their diverse functions in cancer progression.

Area of Science:

  • Genomics
  • Cancer Biology
  • Molecular Biology

Background:

  • Long non-coding RNAs (lncRNAs) are increasingly recognized for their diverse biological roles, including involvement in cancer.
  • Understanding the specific functions of lncRNAs in various solid tumors remains a challenge.

Purpose of the Study:

  • To develop a strategy for identifying and functionally exploring lncRNAs significantly altered across multiple cancer types.
  • To identify novel cancer-associated lncRNAs (onco-lncRNAs) and elucidate their potential roles in tumorigenesis.

Main Methods:

  • Utilized Weighted Correlation Network Analysis (WGCNA) on public RNA-sequencing datasets from four solid cancer types.
  • Analyzed co-expression networks to infer functional roles of identified onco-lncRNAs.

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Main Results:

  • Identified 236 onco-lncRNAs, many previously unreported in cancer association.
  • Found that cancer-expressed lncRNAs exhibit high tissue specificity and low expression levels compared to protein-coding genes.
  • Onco-lncRNAs are implicated in critical cancer processes including genome stability, signaling, cell motility, and immune response.

Conclusions:

  • The proposed WGCNA-based strategy effectively identifies functionally relevant onco-lncRNAs.
  • Onco-lncRNAs are integral to the multistep development of human cancers, highlighting their potential as diagnostic or therapeutic targets.
  • This study provides a foundation for further functional investigation of lncRNAs in oncology.