The Somatic Mutation Landscape of UDP-Glycosyltransferase (UGT) Genes in Human Cancers

Dong Gui Hu1, Shashikanth Marri1, Julie-Ann Hulin1

  • 1College of Medicine and Public Health, Flinders Health and Medical Research Institute, Flinders University, Bedford Park 5042, Australia.

Cancers
|November 26, 2022
PubMed

Insights

Somatic mutations in UDP-glycosyltransferase (UGT) genes are common in human cancers, affecting drug metabolism and cancer signaling. These UGT gene mutations may serve as biomarkers for predicting treatment effectiveness and patient outcomes.

Area of Science:

  • Oncology
  • Genetics
  • Pharmacology

Background:

  • The UDP-glycosyltransferase (UGT) superfamily plays a key role in metabolizing anticancer drugs and various cancer-related molecules.
  • UGT genes are widely expressed in human cancers, but their somatic mutation landscape remains largely uncharacterized.

Purpose of the Study:

  • To systematically investigate the frequency and patterns of somatic mutations in UDP-glycosyltransferase (UGT) genes across diverse human cancers.
  • To assess the potential impact of these UGT gene mutations on cancer cell metabolism and therapeutic outcomes.

Main Methods:

  • Comprehensive analysis of somatic mutation profiles from 10,069 tumors across 33 cancer types using TCGA data.
  • Identification and characterization of mutations within UGT genes, including coding and non-coding regions.

Main Results:

  • Identified 3,427 somatic mutations in UGT genes across 33 cancer types, with nearly 18% of tumors exhibiting UGT mutations.
  • Mutation frequencies varied significantly by cancer type, with COAD, LUAD, LUSC, SKCM, and UCSC showing over 25% mutation rates.
  • All 22 UGT genes harbored somatic mutations, with UGT2B4, UGT3A1, and UGT3A2 being the most frequently mutated; 65% were missense, frame-shift, or nonsense mutations, and 10% occurred in regulatory regions.

Conclusions:

  • Widespread somatic mutations in UGT genes are prevalent in human cancers.
  • These mutations may alter the metabolic capacity of cancer cells, impacting drug efficacy and endobiotic signaling.
  • UGT gene mutations show potential as biomarkers for predicting therapeutic response and clinical prognosis in cancer patients.

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