Identifying genetic variants underlying medication-induced osteonecrosis of the jaw in cancer and osteoporosis: A case control study

Kye Hwa Lee, Su Hwan Kim, Chang Hyen Kim, Byung Joo Min, Grace Juyun Kim, Younggyun Lim, Hun Sung Kim, Kang Min Ahn, Ju Han Kim

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Background: Bisphosphonate-induced osteonecrosis of the jaw (BRONJ) presents with a typical pattern of jaw necrosis in patients who have been prescribed bisphosphonates (BPs) and other antiangiogenetic drugs to treat osteoporosis or bone-related complications of cancer. Methods: This study divided 38 patients with BRONJ into two groups according to the prescribing causes: cancer (n = 13) and osteoporosis (n = 25), and underwent whole exome sequencing and compared them with normal controls (n = 90). To identify candidate genes and variants, we conducted three analyses: a traditional genetic model, gene-wise variant score burden, and rare-variant analysis methods. Results: The stop-gain mutation (rs117889746) of the PZP gene in the BRONJ cancer group was significantly identified in the additive trend model analysis. In the cancer group, ARIDS, HEBP1, LTBP1, and PLVAP were identified as candidate genes. In the osteoporosis group, VEGFA, DFFA, and FAM193A genes showed a significant association. No significant genes were identified in the rare-variant analysis pipeline. Biologically accountable functions related to BRONJ occurrence-angiogenesis-related signaling (VEGFA and PLVAP genes), TGF-β signaling (LTBP1 and PZP genes), heme toxicity (HEBP1) and osteoblast maturation (ARIDS)-were shown in candidate genes. Conclusion: This study showed that the candidate causative genes contributing to the development of BRONJ differ according to the BP dose and background disease.

Original languageEnglish
Article number381
JournalJournal of Translational Medicine
Volume17
Issue number1
DOIs
StatePublished - 20 Nov 2019

Keywords

  • Angiogenesis
  • Bioinformatics
  • Cancer biology
  • Osteoporosis
  • Pharmacogenomics

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