Assessing the activity of nonsense-mediated mRNA decay in lung cancer

Meng Wang1, Peiwei Zhang1, Yufei Zhu1

  • 1State Key Laboratory of Medical Genomics, Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China.

BMC Medical Genomics
|September 7, 2017
PubMed
Abstract

Insights

Nonsense-mediated mRNA decay (NMD) inhibition shows promise for cancer therapy by boosting new antigens. However, efficacy varies, as NMD activity differs among lung cancer patients, necessitating assessment before treatment.

Area of Science:

  • Molecular Biology
  • Cancer Research
  • Genomics

Background:

  • Nonsense-mediated mRNA decay (NMD) regulates gene expression by degrading specific mRNAs.
  • Inhibiting NMD in tumor cells can enhance the expression of novel antigens, potentially suppressing tumor growth.
  • The efficacy of NMD inhibition as a cancer therapy is contingent upon the basal NMD activity within cancer cells.

Purpose of the Study:

  • To develop and validate metrics for measuring NMD activity using RNA-seq data.
  • To assess the variability of NMD activity in lung adenocarcinoma.
  • To evaluate the implications of NMD activity variation for NMD-inhibition based cancer therapies.

Main Methods:

  • Development of three distinct metrics to quantify NMD activity.
  • Application of these metrics to RNA-sequencing data from 72 lung adenocarcinoma patients.
  • Correlation analysis of the developed metrics and comparison of NMD activity between tumor and normal tissues.

Main Results:

  • The three developed NMD activity metrics demonstrated good inter-correlation.
  • Significant variation in NMD activity was observed among lung adenocarcinoma samples.
  • Some tumors exhibited higher NMD activity than adjacent normal tissues, while others showed the reverse, potentially linked to NMD effector expression.

Conclusions:

  • NMD activity is heterogeneous across lung cancer samples, impacting the predicted success of NMD-inhibition therapies.
  • The developed metrics provide a valuable tool for assessing NMD activity in lung adenocarcinoma and can be applied to other cancer types.
  • Assessing NMD activity is crucial for forecasting the therapeutic efficacy of NMD-inhibition strategies.

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