Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/19326
Title: Characterisation of microbial communities within aggressive prostate cancer tissues.
Authors: Yow, Melissa A;Tabrizi, Sepehr N;Severi, Gianluca;Bolton, Damien M;Pedersen, John;Giles, Graham G;Southey, Melissa C
Affiliation: Genetic Epidemiology Laboratory, Department of Pathology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, VIC, Australia
Department of Microbiology and Infectious Diseases, Royal Women's Hospital, Parkville, VIC, Australia
Department of Obstetrics and Gynaecology, University of Melbourne, Parkville, VIC, Australia
Murdoch Childrens Research Institute, Parkville, VIC Australia
Human Genetics Foundation (HuGeF), Via Nizza, Torino, Italy
Department of Surgery, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australia
TissuPath, Mount Waverley, VIC Australia
Cancer Epidemiology and Intelligence Division, Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia
Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Carlton, VIC, Australia
Issue Date: 13-Jan-2017
EDate: 2017
Citation: Infectious agents and cancer 2017; 12: 4
Abstract: An infectious aetiology for prostate cancer has been conjectured for decades but the evidence gained from questionnaire-based and sero-epidemiological studies is weak and inconsistent, and a causal association with any infectious agent is not established. We describe and evaluate the application of new technology to detect bacterial and viral agents in high-grade prostate cancer tissues. The potential of targeted 16S rRNA gene sequencing and total RNA sequencing was evaluated in terms of its utility to characterise microbial communities within high-grade prostate tumours. Two different Massively Parallel Sequencing (MPS) approaches were applied. First, to capture and enrich for possible bacterial species, targeted-MPS of the V2-V3 hypervariable regions of the 16S rRNA gene was performed on DNA extracted from 20 snap-frozen prostate tissue cores from ten "aggressive" prostate cancer cases. Second, total RNA extracted from the same prostate tissue samples was also sequenced to capture the sequence profile of both bacterial and viral transcripts present. Overall, 16S rRNA sequencing identified Enterobacteriaceae species common to all samples and P. acnes in 95% of analyzed samples. Total RNA sequencing detected endogenous retroviruses providing proof of concept but there was no evidence of bacterial or viral transcripts suggesting active infection, although it does not rule out a previous 'hit and run' scenario. As these new investigative methods and protocols become more refined, MPS approaches may be found to have significant utility in identifying potential pathogens involved in disease aetiology. Further studies, specifically designed to detect associations between the disease phenotype and aetiological agents, are required.
URI: http://ahro.austin.org.au/austinjspui/handle/1/19326
DOI: 10.1186/s13027-016-0112-7
ORCID: 0000-0002-5145-6783
PubMed URL: 28101126
ISSN: 1750-9378
Type: Journal Article
Subjects: 16S rRNA
Infection
Propionibacterium acnes
Prostate cancer
RNA
Sexually transmitted infection
cDNA
Appears in Collections:Journal articles

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