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Network Pharmacology Prediction and Experimental Validation of Trichosanthes-Fritillaria thunbergii Action Mechanism Against Lung Adenocarcinoma
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Identification of a putative competitive endogenous RNA network for lung adenocarcinoma using TCGA datasets

Yuanyong Wang1, Tong Lu1, Yang Wo1

  • 1Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.

Peerj
|May 9, 2019
PubMed

Insights

This study identifies key regulatory networks in lung adenocarcinoma (LUAD) using competitive endogenous RNA (ceRNA) analysis. It highlights FAM83A as a potential biomarker for LUAD prognosis and drug resistance, offering new therapeutic avenues.

Area of Science:

  • Molecular Biology
  • Oncology
  • Genomics

Background:

  • The mechanisms of lung adenocarcinoma (LUAD) oncogenesis and progression are not fully understood.
  • Competitive endogenous RNA (ceRNA) regulatory networks offer a novel approach for LUAD treatment and prognosis.
  • The precise role of ceRNA in LUAD requires further elucidation.

Purpose of the Study:

  • To identify and characterize ceRNA networks involved in LUAD.
  • To investigate the association of specific ceRNAs with patient survival and drug resistance.
  • To explore potential biomarkers for LUAD prognosis and treatment.

Main Methods:

  • Screening of differentially expressed mRNAs, microRNAs (miRs), and long non-coding RNAs from The Cancer Genome Atlas (TCGA) database.
  • Identification of LUAD-specific ceRNAs using online prediction software.
  • Statistical analysis to determine the association of identified ceRNAs with overall survival in LUAD patients.

Main Results:

  • Several ceRNAs were identified in LUAD.
  • Family with sequence similarity 83 member A (FAM83A), miR-34c-5p, KCNQ1OT1, and FLJ26245 were significantly associated with overall survival in LUAD patients.
  • FAM83A demonstrated potential significance in drug resistance.

Conclusions:

  • The identified ceRNAs play a crucial role in LUAD progression.
  • FAM83A is a promising candidate biomarker for LUAD prognosis and drug resistance.
  • Further research into ceRNA networks could lead to improved LUAD treatment strategies.
Keywords:
Lung adenocarcinomaPrognosisceRNA networklncRNAmicroRNA

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