Long-Term Prospective Cohort Study of Cervical Cancer Screening Using Triage of Women Who Are Human Papillomavirus–Positive With Dual Stain and Human Papillomavirus Genotyping

N Nicolas Wentzensen (Division of Cancer Epidemiology and Genetics National Cancer Institute, National Institutes of Health Rockville Maryland USA) D Didem Egemen M Megan A. Clarke (Division of Cancer Epidemiology & Genetics, National Cancer Institute, Rockville, MD) N Nancy Poitras (Kaiser Permanente Northern California, Berkeley, CA) K Kiranjit Grewal (Kaiser Permanente Northern California, Berkeley, CA) P Patricia Goldhoff (Kaiser Permanente Northern California, Berkeley, CA) E Elizabeth Hosfield (Kaiser Permanente Northern California, Berkeley, CA) M Mark Schiffman M Marianne Hyer (Information Management Services, Rockville, MD) P Philip E. Castle L Laurie Fuller (Kaiser Permanente Northern California, Berkeley, CA) G Greg Rydzak (Information Management Services, Rockville, MD) L Li C. Cheung (Division of Cancer Epidemiology & Genetics, National Cancer Institute, Rockville, MD) W Walter Kinney (Kaiser Permanente Northern California, Berkeley, CA) B Betty Suh-Burgmann (Kaiser Permanente Northern California, Berkeley, CA) T Thomas Lorey

Abstract

PURPOSE Primary human papillomavirus (HPV) testing has the best tradeoff of benefits and harms for cervical screening but requires triage to determine management among HPV positives. We conducted a prospective observational study to evaluate triage of women who are HPV-positive using dual stain (DS) and HPV genotyping. MATERIALS AND METHODS We included 9,645 consecutive women who are HPV-positive undergoing cervical screening in two periods between 2015 and 2017 in the organized cervical screening program at Kaiser Permanente Northern California. Absolute risk and clinical performance of DS and cytology for detection of cervical intraepithelial neoplasia grade 3 and greater (CIN3+) were estimated overall and by HPV genotype and by age. Cumulative absolute risk of CIN3+ was modeled over 5 years using a prevalence-incidence mixture model, which allows estimating risk accounting for differences in disease ascertainment, surveillance intervals, and compliance. RESULTS The baseline risk of CIN3+ was 9.4% and 0.8% for women testing positive and negative for DS, respectively, and 6.9% and 2.0% for women testing positive and negative for cytology, respectively. Sensitivity, specificity, and predictive values for CIN3+ detection were better for DS compared with cytology over 5 years ( P < .001 for all comparisons). Risk in women with HPV16-positive/negative for intraepithelial lesion or malignancy was substantially higher than the risk in women with HPV16-positive/DS-negative (7.5% v 2.9%, P < .001). DS had better triage performance compared with cytology in all age groups and in women positive for HPV types other than HPV16 or HPV18. CONCLUSION Long-term reassurance of low risk among DS negatives suggests that DS detects molecular changes earlier in the carcinogenic pathway than cytology. DS has better risk stratification than cytology overall, within HPV risk strata, and across all screening age groups and is a better option for triage of vaccinated populations.

Article Details

Volume / Issue Vol. 44, Issue 10
Published April 01, 2026
Pages 840-848
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (16)

N

Nicolas Wentzensen

Division of Cancer Epidemiology and Genetics National Cancer Institute, National Institutes of Health Rockville Maryland USA

D

Didem Egemen

M

Megan A. Clarke

Division of Cancer Epidemiology & Genetics, National Cancer Institute, Rockville, MD

N

Nancy Poitras

Kaiser Permanente Northern California, Berkeley, CA

K

Kiranjit Grewal

Kaiser Permanente Northern California, Berkeley, CA

P

Patricia Goldhoff

Kaiser Permanente Northern California, Berkeley, CA

E

Elizabeth Hosfield

Kaiser Permanente Northern California, Berkeley, CA

M

Mark Schiffman

M

Marianne Hyer

Information Management Services, Rockville, MD

P

Philip E. Castle

L

Laurie Fuller

Kaiser Permanente Northern California, Berkeley, CA

G

Greg Rydzak

Information Management Services, Rockville, MD

L

Li C. Cheung

Division of Cancer Epidemiology & Genetics, National Cancer Institute, Rockville, MD

W

Walter Kinney

Kaiser Permanente Northern California, Berkeley, CA

B

Betty Suh-Burgmann

Kaiser Permanente Northern California, Berkeley, CA

T

Thomas Lorey