Studying the urine microbiome in superficial bladder cancer: samples obtained by midstream voiding versus cystoscopy.


Journal

BMC urology
ISSN: 1471-2490
Titre abrégé: BMC Urol
Pays: England
ID NLM: 100968571

Informations de publication

Date de publication:
28 Jan 2020
Historique:
received: 10 05 2019
accepted: 17 01 2020
entrez: 30 1 2020
pubmed: 30 1 2020
medline: 20 11 2020
Statut: epublish

Résumé

Preliminary data suggest that the urinary microbiome may play a role in bladder cancer. Information regarding the most suitable method of collecting urine specimens is needed for the large population studies needed to address this. To compare microbiome metrics resulting from 16S ribosomal RNA gene sequencing between midstream, voided specimens and those obtained at cystoscopy. Adults, with a history of superficial urothelial cell carcinoma (non-muscle invasive bladder cancer) being followed with periodic surveillance cystoscopy had a urine sample collected by a mid-stream, voided technique and then from the bladder at cystoscopy. Urine samples underwent 16S ribosomal RNA gene sequencing on the Illumina MiSeq platform. 22 subjects (8 female, 14 male) were included. There was no significant difference in beta diversity (diversity between samples) in all samples between collection methods. However, analysis by sex revealed a difference between voided and cystoscopy samples from the same individual in males (p = 0.006, Adonis test) but not in females (p = 0.317, Adonis test). No differences were seen by collection method in any alpha diversity (diversity within a sample) measurement or differential abundance of taxa. Beta diversity of the urine microbiome did differ by collection method for males only. This suggests that the urinary microbiomes of the two collection methods are not equivalent to each other, at least in males, which is the sex that bladder cancer occurs most frequently in. Therefore, the same collection method within a given study should be used.

Sections du résumé

BACKGROUND BACKGROUND
Preliminary data suggest that the urinary microbiome may play a role in bladder cancer. Information regarding the most suitable method of collecting urine specimens is needed for the large population studies needed to address this. To compare microbiome metrics resulting from 16S ribosomal RNA gene sequencing between midstream, voided specimens and those obtained at cystoscopy.
METHODS METHODS
Adults, with a history of superficial urothelial cell carcinoma (non-muscle invasive bladder cancer) being followed with periodic surveillance cystoscopy had a urine sample collected by a mid-stream, voided technique and then from the bladder at cystoscopy. Urine samples underwent 16S ribosomal RNA gene sequencing on the Illumina MiSeq platform.
RESULTS RESULTS
22 subjects (8 female, 14 male) were included. There was no significant difference in beta diversity (diversity between samples) in all samples between collection methods. However, analysis by sex revealed a difference between voided and cystoscopy samples from the same individual in males (p = 0.006, Adonis test) but not in females (p = 0.317, Adonis test). No differences were seen by collection method in any alpha diversity (diversity within a sample) measurement or differential abundance of taxa.
CONCLUSIONS CONCLUSIONS
Beta diversity of the urine microbiome did differ by collection method for males only. This suggests that the urinary microbiomes of the two collection methods are not equivalent to each other, at least in males, which is the sex that bladder cancer occurs most frequently in. Therefore, the same collection method within a given study should be used.

Identifiants

pubmed: 31992287
doi: 10.1186/s12894-020-0576-z
pii: 10.1186/s12894-020-0576-z
pmc: PMC6986141
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

5

Subventions

Organisme : NICHD NIH HHS
ID : K23 HD099240
Pays : United States
Organisme : National Institute of Child Health and Human Development
ID : K23HD099240

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Auteurs

Suchitra K Hourigan (SK)

Inova Children's Hospital, 3300 Gallows Road, Falls Church, VA, 22042, USA. suchihourigan@gmail.com.
Inova Translational Medicine Institute, 3300 Gallows Road, Falls Church, VA, 22042, USA. suchihourigan@gmail.com.

Wei Zhu (W)

Inova Translational Medicine Institute, 3300 Gallows Road, Falls Church, VA, 22042, USA.

Wendy S W Wong (W)

Inova Translational Medicine Institute, 3300 Gallows Road, Falls Church, VA, 22042, USA.

Nicole C Clemency (NC)

Inova Translational Medicine Institute, 3300 Gallows Road, Falls Church, VA, 22042, USA.

Marina Provenzano (M)

Inova Translational Medicine Institute, 3300 Gallows Road, Falls Church, VA, 22042, USA.

Thierry Vilboux (T)

Inova Translational Medicine Institute, 3300 Gallows Road, Falls Church, VA, 22042, USA.

John E Niederhuber (JE)

Inova Translational Medicine Institute, 3300 Gallows Road, Falls Church, VA, 22042, USA.
Public Health Sciences, Center for Genomics in Public Health, School of Medicine, University of Virginia, Charlottesville, VA, 22908, USA.

John Deeken (J)

Inova Translational Medicine Institute, 3300 Gallows Road, Falls Church, VA, 22042, USA.
Public Health Sciences, Center for Genomics in Public Health, School of Medicine, University of Virginia, Charlottesville, VA, 22908, USA.
Inova Schar Cancer Institute, 3224 Gallows Road, Fairfax, VA, 22031, USA.

Simon Chung (S)

Inova Schar Cancer Institute, 3224 Gallows Road, Fairfax, VA, 22031, USA.
Department of Urology, Inova Fairfax Medical Center, 3300 Gallows Road, Falls Church, VA, 22042, USA.

Kim McDaniel-Wiley (K)

Department of Urology, Inova Fairfax Medical Center, 3300 Gallows Road, Falls Church, VA, 22042, USA.

Donald Trump (D)

Inova Schar Cancer Institute, 3224 Gallows Road, Fairfax, VA, 22031, USA.

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Classifications MeSH