A Study on microRNAs Targeting the Genes Overexpressed in Lung Cancer and their Codon Usage Patterns

Supriyo Chakraborty1, Durbba Nath2

  • 1Department of Biotechnology, Assam University, Silchar, 788011, Assam, India. supriyoch_2008@rediffmail.com.

Insights

This study identifies key lung cancer genes targeted by multiple microRNAs (miRNAs). Efficient miRNA targeting is linked to accessible binding sites and rare codons, suggesting potential for miRNA-mediated cancer therapy.

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Lung cancer caused 1.76 million deaths globally in 2018, with tobacco as a major risk factor.
  • Identifying molecular mechanisms driving lung cancer is crucial for developing effective treatments.

Purpose of the Study:

  • To computationally identify overexpressed lung cancer genes targeted by multiple microRNAs (miRNAs).
  • To analyze miRNA-target site accessibility, translational efficiency, and codon usage bias in lung cancer genes.
  • To explore the potential of miRNA-mediated therapy for lung cancer.

Main Methods:

  • Downloaded complete coding sequences (CDS) of overexpressed lung cancer genes.
  • Extracted human mature microRNA sequences from miRBASE.
  • Performed computational analysis to find 7mer-m8 seed matches between miRNAs and mRNAs.
  • Filtered genes based on maximum miRNA binding sites.
  • Analyzed miRNA-binding site accessibility, translational rates, and codon usage bias (RSCU, tRNA relationship).

Main Results:

  • Seven lung cancer genes (MUC5B, MUC16, COL1A1, COL5A1, CELSR2, COL7A1, FAT2) were identified as targets for numerous miRNAs.
  • Higher accessibility of miRNA-binding regions and lower translational rates suggest efficient miRNA targeting.
  • The presence of rare codons may enhance miRNA targeting efficiency.
  • Codon usage bias analysis revealed non-uniform nucleotide usage and higher GC content in lung cancer genes, governed by selective constraints.
  • The identified target genes' functionalities were elucidated.

Conclusions:

  • miRNA targeting efficiency in lung cancer is influenced by binding site accessibility and codon usage.
  • The study highlights the potential of exploiting miRNA silencing characteristics for developing novel cancer therapies.
  • miRNA-mediated repression of overexpressed genes presents a promising therapeutic strategy for lung carcinoma.