DNA Repair Gene Mutations as Predictors of Immune Checkpoint Inhibitor Response beyond Tumor Mutation Burden

David Hsiehchen1,2, Antony Hsieh3, Robert M Samstein4,5

  • 1Division of Hematology and Oncology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Insights

Mutations in DNA repair pathways like nucleotide excision repair (NER) and homologous repair (HR) predict better responses to immune checkpoint inhibitors (ICIs). These genetic alterations identify a patient subgroup who may benefit from ICI cancer therapy.

Area of Science:

  • Oncology
  • Genetics
  • Immunotherapy

Background:

  • Immune checkpoint inhibitors (ICIs) have transformed cancer treatment.
  • Predicting patient response to ICIs remains a significant clinical challenge.
  • Neoantigens from DNA repair defects may enhance ICI efficacy.

Purpose of the Study:

  • To identify genetic biomarkers that predict response to immune checkpoint inhibitors.
  • To investigate the role of DNA repair pathway mutations in ICI therapy outcomes.
  • To assess the prevalence of these mutations in a large cancer patient cohort.

Main Methods:

  • Analysis of genomic data from 1,661 patients treated with ICIs.
  • Examination of mutations in nucleotide excision repair (NER) and homologous repair (HR) pathways.
  • Correlation of NER and HR mutations with objective response rates and ICI benefit.

Main Results:

  • Deletions and mutations in NER and HR pathways predict ICI benefit, independent of tumor mutational burden and cancer type.
  • NER and HR mutations are associated with improved objective response rates in esophagogastric and non-small-cell lung cancers.
  • NER and HR mutations are found in 3.4% and 13.9% of cancers, respectively, across 40,181 patients.

Conclusions:

  • NER and HR gene mutations identify a specific subpopulation of cancer patients.
  • These mutations can aid in selecting patients for immune checkpoint inhibitor therapy.
  • Combining NER/HR mutation assessment with other biomarkers may optimize ICI treatment selection.

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