MET D1228N and D1246N are the Same Resistance Mutation in MET Exon 14 Skipping

Jonathan M Tsai1, Aaron N Hata2, Jochen K Lennerz3

  • 1Department of Pathology, Brigham and Women's Hospital/Harvard Medical School, Boston, Massachusetts, USA.

The Oncologist
|August 4, 2021
PubMed

Insights

Next-generation sequencing in precision oncology faces challenges. Inconsistent variant annotation, like for MET exon 14 skipping mutations, can lead to misinterpretations affecting patient treatment.

Area of Science:

  • Oncology
  • Genetics
  • Bioinformatics

Background:

  • Precision oncology relies on comprehensive genetic profiling using next-generation sequencing (NGS).
  • Accurate variant annotation is crucial for translating DNA alterations into actionable protein-level predictions.
  • The MET gene is frequently implicated in various cancers, with specific mutations conferring therapeutic resistance.

Purpose of the Study:

  • To highlight inconsistencies in variant annotation for MET resistance mutations, specifically focusing on exon 19 alterations.
  • To demonstrate how the same resistance mutation can be annotated differently based on transcript variations.
  • To emphasize the critical need for standardized and accurate variant annotation in precision oncology.

Main Methods:

  • Analysis of genetic variant data from next-generation sequencing.
  • Comparison of variant annotations across different MET gene transcripts.
  • Identification and exemplification of annotation discrepancies for MET D1228N and D1246N mutations.

Main Results:

  • Identified inconsistencies in the annotation of MET D1228N and D1246N resistance mutations.
  • Demonstrated that these represent the same resistance mutation within MET exon 14 skipping alterations but are annotated on different transcripts.
  • Provided additional examples of variants with similar annotation issues across different transcripts.

Conclusions:

  • Inconsistent variant annotation poses a significant risk of erroneous interpretation in precision oncology.
  • Standardization of annotation practices is essential to ensure the reliable application of genetic profiling in cancer treatment.
  • Addressing these annotation discrepancies is vital for the effective implementation of precision medicine strategies.