Clinical associations and genetic interactions of oncogenic BRAF alleles

Sebastian A Wagner1,2,3

  • 1Department of Medicine, Hematology/Oncology, Goethe University, Frankfurt, Germany.

Peerj
|October 24, 2022
PubMed

Insights

This study analyzes BRAF mutations in cancer, revealing their varied frequencies and class distributions across cancer types. It uncovers new genetic interactions specific to BRAF mutation classes, potentially identifying new therapeutic targets.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • BRAF mutations are key drivers in various cancers, regulating the MAPK/ERK pathway.
  • BRAF mutations are classified into three types based on their signaling mechanisms.
  • Comprehensive understanding of non-V600 BRAF mutations' clinical associations and genetic interactions is lacking.

Purpose of the Study:

  • To analyze clinical associations and genetic interactions of oncogenic BRAF mutations.
  • To investigate the distribution and properties of different BRAF mutation classes across cancer types.
  • To identify potential clinically relevant subgroups based on BRAF mutation-associated genetic interactions.

Main Methods:

  • Analysis of public data from AACR Project GENIE.
  • Identification and classification of recurrent BRAF mutations.
  • Permutation testing-based co-occurrence analyses to define genetic interactions.
  • Case study using non-small cell lung cancer.

Main Results:

  • Identified 93 recurrent BRAF mutations, with 50 functionally classified.
  • Demonstrated varying frequencies and unequal distribution of BRAF mutation classes across cancer types and subtypes.
  • Defined genetic interactions of BRAF mutations, revealing class-specific interactions, particularly in non-small cell lung cancer.

Conclusions:

  • BRAF mutation frequency and class distribution differ significantly across cancer types.
  • Genetic interactions associated with BRAF mutations are mutation class-specific.
  • These findings enhance understanding of BRAF's role in cancer and may guide the identification of clinically relevant subgroups.

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