Literature DB >> 35654413

Extended Human Papillomavirus Genotyping to Predict Progression to High-Grade Cervical Precancer: A Prospective Cohort Study in the Southeastern United States.

Alexandra Bukowski1, Cathrine Hoyo2, Michael G Hudgens3, Wendy R Brewster1,4, Fidel Valea5, Rex C Bentley6, Adriana C Vidal7, Rachel L Maguire2,8, John W Schmitt8, Susan K Murphy8, Kari E North1, Jennifer S Smith1,9.   

Abstract

BACKGROUND: High-risk human papillomavirus (hrHPV) testing is utilized in primary cervical cancer screening, generally along with cytology, to triage abnormalities to colposcopy. Most screening-based hrHPV testing involves pooled detection of any hrHPV or of HPV16/18. Cervical neoplasia progression risks based on extended hrHPV genotyping-particularly non-16/18 hrHPV types-are not well characterized. HPV genotype-specific incidence of high-grade cervical intraepithelial neoplasia or more severe (CIN2+) following an abnormal screening result was examined.
METHODS: We assessed a US-based prospective, multiracial, clinical cohort of 343 colposcopy patients with normal histology (n = 226) or CIN1 (n = 117). Baseline cervical samples underwent HPV DNA genotyping, and participants were followed up to 5 years. Genotype-specific CIN2+ incidence rates (IR) were estimated with accelerated failure time models. Five-year CIN2+ risks were estimated nonparametrically for hierarchical hrHPV risk groups (HPV16; else HPV18/45; else HPV31/33/35/52/58; else HPV39/51/56/59/68).
RESULTS: At enrollment, median participant age was 30.1 years; most (63%) were hrHPV-positive. Over follow-up, 24 participants progressed to CIN2+ (7.0%). CIN2+ IR among hrHPV-positive participants was 3.4/1,000 person-months. CIN2+ IRs were highest for HPV16 (8.3), HPV33 (7.8), and HPV58 (4.9). Five-year CIN2+ risk was higher for HPV16 (0.34) compared with HPV18/45 (0.12), HPV31/33/35/52/58 (0.12), and HPV39/51/56/59/68 (0.16) (P = 0.05).
CONCLUSIONS: Non-16/18 hrHPV types are associated with differential CIN2+ progression rates. HPV16, 33, and 58 exhibited the highest rates over 5 years. HPV risk groups warrant further investigation in diverse US populations. IMPACT: These novel data assessing extended HPV genotyping in a diverse clinical cohort can inform future directions to improve screening practices in the general population. ©2022 American Association for Cancer Research.

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Year:  2022        PMID: 35654413      PMCID: PMC9350926          DOI: 10.1158/1055-9965.EPI-22-0054

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.090


  30 in total

1.  Single and multiple human papillomavirus infections in cervical abnormalities in Portuguese women.

Authors:  A Pista; A Oliveira; N Verdasca; F Ribeiro
Journal:  Clin Microbiol Infect       Date:  2010-12-03       Impact factor: 8.067

2.  Human papillomavirus infections with multiple types and risk of cervical neoplasia.

Authors:  Helen Trottier; Salaheddin Mahmud; Maria Cecilia Costa; João P Sobrinho; Eliane Duarte-Franco; Thomas E Rohan; Alex Ferenczy; Luisa L Villa; Eduardo L Franco
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2006-07       Impact factor: 4.254

3.  2019 ASCCP Risk-Based Management Consensus Guidelines for Abnormal Cervical Cancer Screening Tests and Cancer Precursors.

Authors:  Rebecca B Perkins; Richard S Guido; Philip E Castle; David Chelmow; Mark H Einstein; Francisco Garcia; Warner K Huh; Jane J Kim; Anna-Barbara Moscicki; Ritu Nayar; Mona Saraiya; George F Sawaya; Nicolas Wentzensen; Mark Schiffman
Journal:  J Low Genit Tract Dis       Date:  2020-04       Impact factor: 1.925

4.  Multiple human papillomavirus infection and high grade cervical intraepithelial neoplasia among women with cytological diagnosis of atypical squamous cells of undetermined significance or low grade squamous intraepithelial lesions.

Authors:  Arsenio Spinillo; Barbara Dal Bello; Barbara Gardella; Marianna Roccio; Maria Diletta Dacco'; Enrico Maria Silini
Journal:  Gynecol Oncol       Date:  2009-01-31       Impact factor: 5.482

5.  Impact of Widespread Cervical Cancer Screening: Number of Cancers Prevented and Changes in Race-specific Incidence.

Authors:  Daniel X Yang; Pamela R Soulos; Brigette Davis; Cary P Gross; James B Yu
Journal:  Am J Clin Oncol       Date:  2018-03       Impact factor: 2.339

6.  Individual and geographic disparities in human papillomavirus types 16/18 in high-grade cervical lesions: Associations with race, ethnicity, and poverty.

Authors:  Linda M Niccolai; Chelsea Russ; Pamela J Julian; Susan Hariri; John Sinard; James I Meek; Vanessa McBride; Lauri E Markowitz; Elizabeth R Unger; James L Hadler; Lynn E Sosa
Journal:  Cancer       Date:  2013-05-09       Impact factor: 6.860

7.  HPV genotypes and cervical intraepithelial neoplasia in a multiethnic cohort in the southeastern USA.

Authors:  Adriana C Vidal; Jennifer S Smith; Fidel Valea; Rex Bentley; Maggie Gradison; Kimberly S H Yarnall; Anne Ford; Francine Overcash; Kathy Grant; Susan K Murphy; Cathrine Hoyo
Journal:  Cancer Causes Control       Date:  2014-06-14       Impact factor: 2.506

8.  Bayesian analysis of baseline risk of CIN2 and ≥CIN3 by HPV genotype in a European referral cohort.

Authors:  Jesper Bonde; Fabio Bottari; Valentin Parvu; Helle Pedersen; Karen Yanson; Anna D Iacobone; Salma Kodsi; Fabio Landoni; Laurence Vaughan; Ditte M Ejegod; Maria T Sandri
Journal:  Int J Cancer       Date:  2019-04-30       Impact factor: 7.396

Review 9.  Human Papilloma Virus-Associated Cervical Cancer and Health Disparities.

Authors:  Patti Olusola; Hirendra Nath Banerjee; Julie V Philley; Santanu Dasgupta
Journal:  Cells       Date:  2019-06-21       Impact factor: 6.600

10.  Risk Estimates Supporting the 2019 ASCCP Risk-Based Management Consensus Guidelines.

Authors:  Didem Egemen; Li C Cheung; Xiaojian Chen; Maria Demarco; Rebecca B Perkins; Walter Kinney; Nancy Poitras; Brian Befano; Alexander Locke; Richard S Guido; Amy L Wiser; Julia C Gage; Hormuzd A Katki; Nicolas Wentzensen; Philip E Castle; Mark Schiffman; Thomas S Lorey
Journal:  J Low Genit Tract Dis       Date:  2020-04       Impact factor: 3.842

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