Literature DB >> 26655264

Comparison of urine specimen collection times and testing fractions for the detection of high-risk human papillomavirus and high-grade cervical precancer.

V Senkomago1, A C Des Marais1, L Rahangdale2, C R T Vibat3, M G Erlander3, J S Smith4.   

Abstract

BACKGROUND: Urine testing for high-risk human papillomavirus (HR-HPV) detection could provide a non-invasive, simple method for cervical cancer screening.
OBJECTIVES: We examined whether HR-HPV detection is affected by urine collection time, portion of urine stream, or urine fraction tested, and assessed the performance of HR-HPV testing in urine for detection of cervical intraepithelial neoplasia grade II or worse (CIN2+). STUDY
DESIGN: A total of 37 female colposcopy clinic attendees, ≥ 30 years, provided three urine samples: "first void" urine collected at home, and "initial stream" and "mid-stream" urine samples collected at the clinic later in the day. Self- and physician-collected brush specimens were obtained at the same clinic visit. Colposcopy was performed and directed biopsies obtained if clinically indicated. For each urine sample, HR-HPV DNA testing was conducted for unfractionated, pellet, and supernatant fractions using the Trovagene test. HR-HPV mRNA testing was performed on brush specimens using the Aptima HPV assay.
RESULTS: HR-HPV prevalence was similar in unfractionated and pellet fractions of all urine samples. For supernatant urine fractions, HR-HPV prevalence appeared lower in mid-stream urine (56.8%[40.8-72.7%]) than in initial stream urine (75.7%[61.9-89.5%]). Sensitivity of CIN2+ detection was identical for initial stream urine and physician-collected cervical specimen (89.9%[95%CI=62.7-99.6%]), and similar to self-collected vaginal specimen (79.1%[48.1-96.6%]).
CONCLUSION: This is among the first studies to compare methodologies for collection and processing of urine for HR-HPV detection. HR-HPV prevalence was similar in first void and initial stream urine, and was highly sensitive for CIN2+ detection. Additional research in a larger and general screening population is needed.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cervical cancer screening; Human papillomavirus; Urine

Mesh:

Substances:

Year:  2015        PMID: 26655264     DOI: 10.1016/j.jcv.2015.11.005

Source DB:  PubMed          Journal:  J Clin Virol        ISSN: 1386-6532            Impact factor:   3.168


  21 in total

1.  Accuracy of urinary human papillomavirus testing for the presence of cervical human papillomaviruses and higher grades of cervical intraepithelial neoplasia.

Authors:  Chandrika J Piyathilake; Suguna Badiga; Michelle M Chambers; Ilene K Brill; Roland Matthews; Edward E Partridge
Journal:  Cancer       Date:  2016-05-31       Impact factor: 6.860

2.  Detection and genotyping of HPV in urine samples from Chilean women attending primary health care centers.

Authors:  Nicolás Vergara; Monserrat Balanda; Wilma Hidalgo; Héctor San Martín; Alexis Aceituno; Francisco Roldán; Tania Villalón; Melissa Hott; Gloria Espinoza; Andrea Quiero; María T Valenzuela; Eugenio Ramírez
Journal:  Med Microbiol Immunol       Date:  2017-12-14       Impact factor: 3.402

3.  Racial and Ethnic Differences in Acceptability of Urine and Cervico-Vaginal Sample Self-Collection for HPV-Based Cervical Cancer Screening.

Authors:  Eliane Rohner; F Hunter McGuire; Yutong Liu; Quefeng Li; Kate Miele; Samveg A Desai; John W Schmitt; Andrea Knittel; Julie A E Nelson; Claire Edelman; Vijay Sivaraman; Anna Baker; LaHoma S Romocki; Lisa Rahangdale; Jennifer S Smith
Journal:  J Womens Health (Larchmt)       Date:  2020-03-26       Impact factor: 2.681

4.  Test Accuracy of Human Papillomavirus in Urine for Detection of Cervical Intraepithelial Neoplasia.

Authors:  Eliane Rohner; Lisa Rahangdale; Busola Sanusi; Andrea K Knittel; Laurence Vaughan; Kirsty Chesko; Brian Faherty; Samantha E Tulenko; John W Schmitt; LaHoma S Romocki; Vijay Sivaraman; Julie A E Nelson; Jennifer S Smith
Journal:  J Clin Microbiol       Date:  2020-02-24       Impact factor: 5.948

5.  Triage of human papillomavirus infected women by methylation analysis in first-void urine.

Authors:  Severien Van Keer; Annina P van Splunter; Jade Pattyn; Annemie De Smet; Sereina A Herzog; Xaveer Van Ostade; Wiebren A A Tjalma; Margareta Ieven; Pierre Van Damme; Renske D M Steenbergen; Alex Vorsters
Journal:  Sci Rep       Date:  2021-04-12       Impact factor: 4.379

6.  Comparison of Human Papillomavirus Detection in Urine and Cervical Samples Using High-Risk HPV DNA Testing in Northern Thailand.

Authors:  Surapan Khunamornpong; Jongkolnee Settakorn; Kornkanok Sukpan; Suree Lekawanvijit; Narisara Katruang; Sumalee Siriaunkgul
Journal:  Obstet Gynecol Int       Date:  2016-12-22

Review 7.  Candidate biomarkers in the cervical vaginal fluid for the (self-)diagnosis of cervical precancer.

Authors:  Xaveer Van Ostade; Martin Dom; Wiebren Tjalma; Geert Van Raemdonck
Journal:  Arch Gynecol Obstet       Date:  2017-11-15       Impact factor: 2.344

8.  Evaluation of the performance of Human Papillomavirus testing in paired urine and clinician-collected cervical samples among women aged over 30 years in Bhutan.

Authors:  Ugyen Tshomo; Silvia Franceschi; Tshokey Tshokey; Tashi Tobgay; Iacopo Baussano; Vanessa Tenet; Peter J F Snijders; Tarik Gheit; Massimo Tommasino; Alex Vorsters; Gary M Clifford
Journal:  Virol J       Date:  2017-04-08       Impact factor: 4.099

9.  Performance and Diagnostic Accuracy of Human Papillomavirus Testing on Self-Collected Urine and Vaginal Samples in a Referral Population.

Authors:  Hyun-Woong Cho; Jin Hwa Hong; Kyung Jin Min; Yung-Taek Ouh; Seok Ju Seong; Jun Hye Moon; Seong Hwan Cho; Jae Kwan Lee
Journal:  Cancer Res Treat       Date:  2020-12-24       Impact factor: 4.679

10.  Long-Term Follow-up of HPV Infection Using Urine and Cervical Quantitative HPV DNA Testing.

Authors:  Alex Vorsters; Severien Van Keer; Samantha Biesmans; Annick Hens; Ilse De Coster; Herman Goossens; Margareta Ieven; Pierre Van Damme
Journal:  Int J Mol Sci       Date:  2016-05-17       Impact factor: 5.923

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