Methodology for the at-home collection of urine samples for prostate cancer detection

Author:

Webb Martyn1ORCID,Manley Kate12,Olivan Mireia3,Guldvik Ingrid45,Palczynska Malgorzata2,Hurst Rachel1,Connell Shea P1,Mills Ian G6,Brewer Daniel S17,Mills Robert2,Cooper Colin S1,Clark Jeremy1

Affiliation:

1. Norwich Medical School, University of East Anglia, Norwich, UK

2. Norfolk & Norwich University Hospitals NHS Foundation Trust, Norwich, UK

3. Group of Biomedical Research in Urology, Vall d'Hebron Research Institute & Universitat Autònoma de Barcelona, Barcelona, Spain

4. Prostate Cancer Research Group, Centre for Molecular Medicine Norway, University of Oslo & Oslo University Hospital, Oslo, Norway

5. Department of Tumour Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway

6. School of Medicine, Dentistry & Biomedical Sciences, Institute for Health Sciences, Centre for Cancer Research & Cell Biology, Queen's University Belfast, Belfast, UK

7. Earlham Institute, Norwich, UK

Abstract

Urine from patients with prostate cancer (PCa) contains gene transcripts that have been used for PCa diagnosis and prognosis. Historically, patient urine samples have been collected after a digital rectal examination of the prostate, which was thought necessary to boost the levels of prostatic secretions in the urine. We herein describe methodology that allows urine to be collected by patients at home and then posted to a laboratory for analysis. RNA yields and quality were comparable to those for post digital rectal examination urine, and there was improved sensitivity for the detection of TMPRSS2:ERG transcripts by RT-PCR. The At-Home collection protocol has opened up the potential to perform large-scale PCa studies without the inconvenience, cost, discomfort and expense of patients having to visit the clinic.

Publisher

Future Science Ltd

Subject

General Biochemistry, Genetics and Molecular Biology,Biotechnology

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3