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Germline mutations and polymorphisms of Androgen Receptor in prostate cancer patients: Frequency and results of in silico analysis

  • Yunia Sribudiani*
  • , Deineke W. Marwan
  • , Aulanni'am Aulanni'am
  • , Muhammad A. Widodo
  • , Basuki B. Purnomo
  • , Ramdan Panigoro
  • , Ahmad B. Utomo
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Germline and somatic polymorphisms and mutations of the Androgen Receptor (AR) gene are known to be associated with the incidence of prostate cancer (PCa) in different populations. In this study we assessed germline AR polymorphisms and mutations in PCa patients with prediction of pathogenicity of the identified mutations by in silico analysis. Methods: Diagnosis of PCa was based on histopathology of prostate tissue (Gleason Score criteria) and serum prostate-specific antigen (PSA) levels. Genomic DNA was extracted from peripheral blood of 38 patients. All exons and exon-intron boundaries of AR were amplified using polymerase chain reactions (PCR) followed by Sanger sequencing. In silico analysis was performed using Polyphen-2 and Mutation Taster®. Results: Two polymorphisms, CAG repeat sequence (13-34 repeats in length) and p.Pro214Glu (MAF: 0.0789) located in exon 1 were identified. A missense mutation (c.47C > A/p.Pro146Glu) and in-frame deletion of a CAG sequence leading to loss of Arginine at codon 85 (c.252_254delCAG/p.Arg85-) were identified in a 70 year old patient with a Gleason Score and PSA level of 2 and 2.4ng/dL, respectively. His PSA level decreased to < 0.5 ng/dL after 9 months of androgen deprivation therapy. Identified mutations were predicted to be non-disease causing by Polyphen-2 and Mutation Taster®. Conclusion: Our data demonstrated that the frequency of germline mutations of AR was low in PCa patients in Indonesia (5.26%: 2/38 alleles), so that they are not likely to be major etiological factors. The in silico analysis of identified AR mutations in this study corroborated the clinopathology features of the patient.

Original languageEnglish
Pages (from-to)2241-2245
Number of pages5
JournalAsian Pacific Journal of Cancer Prevention
Volume19
Issue number8
DOIs
Publication statusPublished - 1 Aug 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Androgen receptor
  • Germline
  • Mutation
  • Polymorphism
  • Prostate cancer (PCa)

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