Literature DB >> 27150425

Inherited Variants in SULT1E1 and Response to Abiraterone Acetate by Men with Metastatic Castration Refractory Prostate Cancer.

Neeraj Agarwal1, Anitha B Alex2, James M Farnham3, Shiven Patel2, David Gill2, Tyler H Buckley2, Robert A Stephenson4, Lisa Cannon-Albright3.   

Abstract

PURPOSE: Germline variations in genes involved in androgen biosynthesis and metabolic pathways may predict the response to abiraterone acetate in men with metastatic, castration refractory prostate cancer. The variations may serve as prognostic and predictive biomarkers to allow for more individualized therapy.
MATERIALS AND METHODS: We evaluated 832 single nucleotide polymorphisms from the OmniExpress genotyping platform (Illumina®) in the boundaries of 61 candidate genes reported to be involved in the androgen metabolic pathway. The purpose was to investigate them for an association with time to treatment failure in 68 white men with metastatic, castration refractory prostate cancer undergoing treatment with abiraterone acetate. Cox proportional hazard analysis was used with Gleason score, age, level of alkaline phosphatase and prostate specific antigen at treatment initiation as covariates. Each single nucleotide polymorphism was assessed using an allele carriage genetic model in which carriage of 1 or more minor alleles contributes to increased risk. Subset analyses were done to determine whether metastasis site, or prior treatment with ketoconazole or docetaxel would interact with the single nucleotide polymorphisms investigated.
RESULTS: Six single nucleotide polymorphisms in the estrogen sulfotransferase gene SULT1E1 were associated with time to treatment failure on abiraterone acetate therapy after false discovery rate (q value) correction for multiple testing while controlling for Gleason score, age, level of alkaline phosphatase and prostate specific antigen at treatment initiation (q <0.05).
CONCLUSIONS: Single nucleotide polymorphisms in SULT1E1 were significantly associated with time to treatment failure in men on abiraterone acetate therapy. The single nucleotide polymorphisms may serve as predictive markers for treatment with abiraterone acetate.
Copyright © 2016 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  abiraterone; biomarkers; polymorphism, single nucleotide; prostatic neoplasms; treatment failure

Mesh:

Substances:

Year:  2016        PMID: 27150425     DOI: 10.1016/j.juro.2016.04.079

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  6 in total

Review 1.  Gene polymorphism-related differences in the outcomes of abiraterone for prostate cancer: a systematic overview.

Authors:  Min Liu; Hongzhe Shi; Jiaqing Yan; Yuan Zhang; Yinglin Ma; Kaidi Le; Zhongdong Li; Nianzeng Xing; Guohui Li
Journal:  Am J Cancer Res       Date:  2021-05-15       Impact factor: 6.166

2.  Impact of Human SULT1E1 Polymorphisms on the Sulfation of 17β-Estradiol, 4-Hydroxytamoxifen, and Diethylstilbestrol by SULT1E1 Allozymes.

Authors:  Amal A El Daibani; Fatemah A Alherz; Maryam S Abunnaja; Ahsan F Bairam; Mohammed I Rasool; Katsuhisa Kurogi; Ming-Cheh Liu
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2021-01       Impact factor: 2.441

Review 3.  SULT genetic polymorphisms: physiological, pharmacological and clinical implications.

Authors:  Katsuhisa Kurogi; Mohammed I Rasool; Fatemah A Alherz; Amal A El Daibani; Ahsan F Bairam; Maryam S Abunnaja; Shin Yasuda; Lauren J Wilson; Ying Hui; Ming-Cheh Liu
Journal:  Expert Opin Drug Metab Toxicol       Date:  2021-06-30       Impact factor: 4.936

4.  Common Genetic Variation in CYP17A1 and Response to Abiraterone Acetate in Patients with Metastatic Castration-Resistant Prostate Cancer.

Authors:  Moritz Binder; Ben Y Zhang; David W Hillman; Rhea Kohli; Tanvi Kohli; Adam Lee; Manish Kohli
Journal:  Int J Mol Sci       Date:  2016-07-09       Impact factor: 5.923

Review 5.  Estrogen Sulfotransferase (SULT1E1): Its Molecular Regulation, Polymorphisms, and Clinical Perspectives.

Authors:  MyeongJin Yi; Masahiko Negishi; Su-Jun Lee
Journal:  J Pers Med       Date:  2021-03-11

6.  Identification of a Steroid Hormone-Associated Gene Signature Predicting the Prognosis of Prostate Cancer through an Integrative Bioinformatics Analysis.

Authors:  Yo-Liang Lai; Chia-Hsin Liu; Shu-Chi Wang; Shu-Pin Huang; Yi-Chun Cho; Bo-Ying Bao; Chia-Cheng Su; Hsin-Chih Yeh; Cheng-Hsueh Lee; Pai-Chi Teng; Chih-Pin Chuu; Deng-Neng Chen; Chia-Yang Li; Wei-Chung Cheng
Journal:  Cancers (Basel)       Date:  2022-03-19       Impact factor: 6.639

  6 in total

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