Novel potential causative genes in carotid paragangliomas

Anastasiya V Snezhkina1, Elena N Lukyanova1, Andrew R Zaretsky1

  • 1Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.

BMC Medical Genetics
|April 11, 2019
PubMed
Abstract

Insights

Researchers identified three novel genes, MYH15, CSP1, and MYH3, as potential causes of carotid paragangliomas (CPGLs). This discovery advances understanding of these rare neuroendocrine tumors.

Area of Science:

  • Oncology
  • Genetics
  • Neuroscience

Background:

  • Carotid paragangliomas (CPGLs) are rare neuroendocrine tumors originating at the carotid artery bifurcation.
  • CPGLs account for a significant portion of head and neck paragangliomas and can be sporadic or hereditary.
  • The genetic underpinnings and molecular pathogenesis of CPGLs are not fully understood, despite associations with approximately 30 genes.

Purpose of the Study:

  • To identify novel causative genes in carotid paragangliomas.
  • To elucidate the molecular mechanisms underlying CPGL development.
  • To investigate the influence of genetic variants on gene expression in CPGLs.

Main Methods:

  • High-throughput whole exome and transcriptome sequencing of CPGLs using Illumina platforms.
  • Analysis of sequencing data with xseq to identify genes with mutations influencing expression (cis-effect).
  • Utilized Nextera Rapid Capture Exome Kit and TruSeq Stranded Total RNA Library Prep Kit.

Main Results:

  • Identified 16 candidate genes with variants potentially affecting gene expression.
  • Observed the strongest cis-effect of loss-of-function variants in MYH15, CSP1, and MYH3.
  • Predicted several likely pathogenic variants in these genes associated with CPGLs.

Conclusions:

  • Three novel potential causative genes, MYH15, CSP1, and MYH3, were identified in carotid paragangliomas.
  • These findings contribute to a better understanding of CPGL pathogenesis.
  • The study highlights the utility of integrated exome and transcriptome sequencing for identifying novel cancer-related genes.

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