Nature Communications (Apr 2022)

A machine learning algorithm with subclonal sensitivity reveals widespread pan-cancer human leukocyte antigen loss of heterozygosity

  • Rachel Marty Pyke,
  • Dattatreya Mellacheruvu,
  • Steven Dea,
  • Charles W. Abbott,
  • Lee McDaniel,
  • Devayani P. Bhave,
  • Simo V. Zhang,
  • Eric Levy,
  • Gabor Bartha,
  • John West,
  • Michael P. Snyder,
  • Richard O. Chen,
  • Sean Michael Boyle

DOI
https://doi.org/10.1038/s41467-022-29203-w
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 13

Abstract

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Human leukocyte antigen loss of heterozygosity (HLA LOH) is an important mechanism of immune escape in patients with cancer. Here the authors design and validate a machine learning algorithm with subclonal sensitivity for the identification of HLA LOH from paired tumor-normal sequencing data.