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Detection of dysregulated competing endogenous RNA modules associated with clear cell kidney carcinoma

Hong Wang1, Dahua Xu2, Huiying Huang2

  • 1Network Information Center, Harbin Medical University, Harbin, Heilongjiang 150081, P.R. China.

Molecular Medicine Reports
|June 30, 2018
PubMed

Insights

This study reveals a novel network of competitive endogenous RNAs (ceRNAs) in clear cell kidney carcinoma (KIRC). Specific ceRNA interactions can distinguish KIRC from normal tissues, identifying potential biomarkers for prognosis.

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Competitive endogenous RNAs (ceRNAs) are implicated in cancer, but their specific roles in clear cell kidney carcinoma (KIRC) are unclear.
  • Dysregulation of ceRNAs may contribute to KIRC pathogenesis.

Purpose of the Study:

  • To construct and analyze a ceRNA-ceRNA network in KIRC.
  • To identify critical ceRNAs and their interaction patterns in KIRC.
  • To discover novel long non-coding RNAs (lncRNAs) as prognostic biomarkers for KIRC.

Main Methods:

  • Integrated microRNA regulation and expression profiles from KIRC and normal tissues.
  • Constructed a KIRC dysregulated ceRNA-ceRNA network (KDCCNet).
  • Analyzed ceRNA interaction patterns (gain and loss) and their diagnostic potential.

Main Results:

  • Identified two distinct ceRNA interaction patterns (gain and loss) within the KDCCNet.
  • Developed modules with high accuracy (95% loss, 97% gain) in distinguishing KIRC from normal samples.
  • Discovered two long non-coding RNAs (lncRNAs), glucuronidase β pseudogene 11 and LIFR antisense RNA 1, significantly associated with KIRC prognosis.

Conclusions:

  • The KDCCNet provides novel insights into the biological mechanisms of KIRC.
  • Identified specific lncRNAs as promising candidate prognostic biomarkers for KIRC.
  • The study highlights the diagnostic and prognostic potential of ceRNA networks in KIRC.

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