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Periprostatic fat tissue transcriptome reveals a signature diagnostic for high-risk prostate cancer.
Mangiola, Stefano; Stuchbery, Ryan; Macintyre, Geoff; Clarkson, Michael J; Peters, Justin S; Costello, Anthony J; Hovens, Christopher M; Corcoran, Niall M.
Afiliación
  • Mangiola S; Australian Prostate Cancer Research Centre Epworth, Richmond, Victoria, Australia.
  • Stuchbery R; Department of Surgery, The University of Melbourne, Parkville, Victoria, Australia.
  • Macintyre G; Division of Bioinformatics, Walter and Eliza Hall Institute, Parkville, Victoria, Australia.
  • Clarkson MJ; Australian Prostate Cancer Research Centre Epworth, Richmond, Victoria, Australia.
  • Peters JS; Centre for Neural Engineering, Department of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia.
  • Costello AJ; Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
  • Hovens CM; Diagnostic Genomics, NICTA, Victoria Research Laboratory, The University of Melbourne, Parkville, Victoria, Australia.
  • Corcoran NM; Australian Prostate Cancer Research Centre Epworth, Richmond, Victoria, Australia.
Endocr Relat Cancer ; 25(5): 569-581, 2018 05.
Article en En | MEDLINE | ID: mdl-29592867
Evidence suggests that altered adipose tissue homeostasis may be an important contributor to the development and/or progression of prostate cancer. In this study, we investigated the adipose transcriptional profiles of low- and high-risk disease to determine both prognostic potential and possible biological drivers of aggressive disease. RNA was extracted from periprostatic adipose tissue from patients categorised as having prostate cancer with either a low or high risk of progression based on tumour characteristics at prostatectomy and profiled by RNA sequencing. The expression of selected genes was then quantified by qRT-PCR in a cross-validation cohort. In the first phase, a total of 677 differentially transcribed genes were identified, from which a subset of 14 genes was shortlisted. In the second phase, a 3 gene (IGHA1, OLFM4, RERGL) signature was refined and evaluated using recursive feature selection and cross-validation, obtaining a promising discriminatory utility (area under curve 0.72) at predicting the presence of high-risk disease. Genes implicated in immune and/or inflammatory responses predominated. Periprostatic adipose tissue from patients with high-risk prostate cancer has a distinct transcriptional signature that may be useful for detecting its occult presence. Differential expression appears to be driven by a local immune/inflammatory reaction to more advanced tumours, than any specific adipose tissue-specific tumour-promoting mechanism. This signature is transferable into a clinically usable PCR-based assay, which in a cross-validation cohort shows diagnostic potential.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Tejido Adiposo / Transcriptoma Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Humans / Male / Middle aged Idioma: En Revista: Endocr Relat Cancer Asunto de la revista: ENDOCRINOLOGIA / NEOPLASIAS Año: 2018 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Tejido Adiposo / Transcriptoma Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Humans / Male / Middle aged Idioma: En Revista: Endocr Relat Cancer Asunto de la revista: ENDOCRINOLOGIA / NEOPLASIAS Año: 2018 Tipo del documento: Article País de afiliación: Australia