A study of type-specific HPV natural history and implications for contemporary cervical cancer screening programs.

AGC, Atypical glandular cells AIS, Adenocarcinoma in-situ ASC-H+, Atypical squamous cells - cannot exclude HSIL ASC-US, Atypical squamous cells of undetermined significance BD, Becton Dickinson CIN, Cervical intraepithelial neoplasia HC2, Hybrid Capture 2 HPV genotype HPV outcome, Clearance HPV, human papillomavirus KPNC, Kaiser Permanente Northern California LSIL, Low-grade squamous intraepithelial lesion NCI, National Cancer Institute NILM, Negative for intraepithelial lesion or malignancy PCR, Polymerase chain reaction PaP, Persistence and Progression Persistence Progression STM, Specimen transport medium

Journal

EClinicalMedicine
ISSN: 2589-5370
Titre abrégé: EClinicalMedicine
Pays: England
ID NLM: 101733727

Informations de publication

Date de publication:
May 2020
Historique:
received: 28 10 2019
revised: 11 02 2020
accepted: 11 02 2020
entrez: 9 6 2020
pubmed: 9 6 2020
medline: 9 6 2020
Statut: epublish

Résumé

HPV testing is replacing cytology for cervical cancer screening because of greater sensitivity and superior reassurance following negative tests for the dozen HPV genotypes that cause cervical cancer. Management of women testing positive is unresolved. The need for identification of individual HPV genotypes for clinical use is debated. Also, it is unclear how long to observe persistent infections when precancer is not initially found. In the longitudinal NCI-Kaiser Permanente Northern California Persistence and Progression (PaP) Study, we observed the clinical outcomes (clearance, progression to CIN3+, or persistence without progression) of 11,573 HPV-positive women aged 30-65 yielding 14,158 type-specific infections. Risks of CIN3+ progression differed substantially by type, with HPV16 conveying uniquely elevated risk (26% of infections with seven-year CIN3+ risk of 22%). The other carcinogenic HPV types fell into 3 distinct seven-year CIN3+ risk groups: HPV18, 45 (13% of infections, risks >5%, with known elevated cancer risk); HPV31, 33, 35, 52, 58 (39%, risks >5%); and HPV39, 51, 56, 59, 68 (23%, risks <5%). In the absence of progression, HPV clearance rates were similar by type, with 80% of infections no longer detected within three years; persistence to seven years without progression was uncommon. The predictive value of abnormal cytology was most evident for prevalent CIN3+, but less evident in follow-up. A woman's age did not modify risk; rather it was the duration of persistence that was important. HPV type and persistence are the major predictors of progression to CIN3+; at a minimum, distinguishing HPV16 is clinically important. Dividing the other HPV types into three risk-groups is worth considering.

Sections du résumé

BACKGROUND BACKGROUND
HPV testing is replacing cytology for cervical cancer screening because of greater sensitivity and superior reassurance following negative tests for the dozen HPV genotypes that cause cervical cancer. Management of women testing positive is unresolved. The need for identification of individual HPV genotypes for clinical use is debated. Also, it is unclear how long to observe persistent infections when precancer is not initially found.
METHODS METHODS
In the longitudinal NCI-Kaiser Permanente Northern California Persistence and Progression (PaP) Study, we observed the clinical outcomes (clearance, progression to CIN3+, or persistence without progression) of 11,573 HPV-positive women aged 30-65 yielding 14,158 type-specific infections.
FINDINGS RESULTS
Risks of CIN3+ progression differed substantially by type, with HPV16 conveying uniquely elevated risk (26% of infections with seven-year CIN3+ risk of 22%). The other carcinogenic HPV types fell into 3 distinct seven-year CIN3+ risk groups: HPV18, 45 (13% of infections, risks >5%, with known elevated cancer risk); HPV31, 33, 35, 52, 58 (39%, risks >5%); and HPV39, 51, 56, 59, 68 (23%, risks <5%). In the absence of progression, HPV clearance rates were similar by type, with 80% of infections no longer detected within three years; persistence to seven years without progression was uncommon. The predictive value of abnormal cytology was most evident for prevalent CIN3+, but less evident in follow-up. A woman's age did not modify risk; rather it was the duration of persistence that was important.
INTERPRETATION CONCLUSIONS
HPV type and persistence are the major predictors of progression to CIN3+; at a minimum, distinguishing HPV16 is clinically important. Dividing the other HPV types into three risk-groups is worth considering.

Identifiants

pubmed: 32510043
doi: 10.1016/j.eclinm.2020.100293
pii: S2589-5370(20)30037-7
pii: 100293
pmc: PMC7264956
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100293

Informations de copyright

© 2020 Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

The following disclosure statements were reported: Dr. Demarco, Dr. Gage, Dr. Schiffman, and Dr. Wentzensen report that the NCI has received masked HPV and cytology test results at no cost from Roche Molecular Systems, BD Diagnostics, and Qiagen for independent evaluations of these technologies. Dr. Raine-Bennett reports other contracts from National Cancer Institute, during the conduct of the study. Dr. Campos reports other salary support from 10.13039/100000054National Cancer Institute, during the conduct of the study, and personal fees from Basic Health International, outside the submitted work. Dr. Coutlee reports grants from Réseau FRSQ SIDA-MI, during the conduct of the study. Dr. Burk reports grants from NIH, during the conduct of the study. Dr. Castle reports discounted or free HPV tests and assays for research from Roche, Becton Dickinson, Cepheid, and Arbor Vita Corporation. Dr. Hyun, Dr. Carter-Pokras, Dr. Cheung, Dr. Chen, Dr. Hammer, Dr. Kinney, Dr. Befano, Dr. Perkins, Dr. He, Dr. Dallal, Dr. Chen, Dr. Poitras, Dr. Lorey, and Dr. Mayrand have nothing to disclose.

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Auteurs

Maria Demarco (M)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States.
University of Maryland School of Public Health, College Park, MD, United States.

Noorie Hyun (N)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States.
Division of Biostatistics, Institute of Health and Equity, Medical College of Wisconsin, Milwaukee, WI, United States.

Olivia Carter-Pokras (O)

University of Maryland School of Public Health, College Park, MD, United States.

Tina R Raine-Bennett (TR)

Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States.

Li Cheung (L)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States.

Xiaojian Chen (X)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States.

Anne Hammer (A)

Department of Obstetrics and Gynecology, Aarhus University Hospital, Denmark.
Department of Clinical Medicine, Aarhus University, Denmark.

Nicole Campos (N)

Center for Health Decision Science, Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, United States.

Walter Kinney (W)

Regional Laboratory, Kaiser Permanente Northern California, Berkeley, CA, United States.

Julia C Gage (JC)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States.

Brian Befano (B)

Information Management Services Inc., Calverton, MD, United States.

Rebecca B Perkins (RB)

Department of Obstetrics and Gynecology, Boston Medical Center/Boston University School of Medicine, Boston, MA, United States.

Xin He (X)

University of Maryland School of Public Health, College Park, MD, United States.

Cher Dallal (C)

University of Maryland School of Public Health, College Park, MD, United States.

Jie Chen (J)

University of Maryland School of Public Health, College Park, MD, United States.

Nancy Poitras (N)

Regional Laboratory, Kaiser Permanente Northern California, Berkeley, CA, United States.

Marie-Helene Mayrand (MH)

Department of Obstetrics and Gynecology, Université de Montréal and Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Canada.
Department of Social and Preventive Medicine, Université de Montréal and Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Canada.

Francois Coutlee (F)

Department of Microbiology, Université de Montréal and CRCHUM, Montreal, Canada.

Robert D Burk (RD)

Albert Einstein College of Medicine, Bronx, NY, United States.

Thomas Lorey (T)

Regional Laboratory, Kaiser Permanente Northern California, Berkeley, CA, United States.

Philip E Castle (PE)

Albert Einstein College of Medicine, Bronx, NY, United States.

Nicolas Wentzensen (N)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States.

Mark Schiffman (M)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States.

Classifications MeSH