Evidence map›Paper›PMID 37243996›Full record

ArticleGynecologic oncology2023

The combined finding of HPV 16, 18, or 45 and cytologic Atypical Glandular Cells (AGC) indicates a greatly elevated risk of in situ and invasive cervical adenocarcinoma.

Mark Schiffman, Lisa Mirabello, Didem Egemen, Brian Befano, Yanzi Xiao, Nicolas Wentzensen, Tina Raine-Bennett, Ritu Nayar, Li C Cheung, Anne Rositch and 6 more

Open access · greenAbstract read
In one paragraph

Article in Gynecologic oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 8 institutions in 2 countries.

Mark SchiffmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA. Electronic address: mark.schiffman@nih.gov.
Lisa MirabelloDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Didem EgemenDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Brian BefanoInformation Management Services Inc, Calverton, MD, USA.
Yanzi XiaoDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Nicolas WentzensenDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Tina Raine-BennettWomen's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Ritu NayarDepartment of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Li C CheungDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Anne RositchDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Terri BeatyDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Rebecca B PerkinsBoston University Chobanian and Avedisian School of Medicine, Boston Medical Center, Boston, MA, USA.
Silvia de SanjoseDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA; ISGlobal, Barcelona, Spain.
Thomas LoreyRegional Laboratory, Kaiser Permanente Northern California, Oakland, CA, USA.
Philip E CastleDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA; Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Robert D BurkDepartments of Pediatrics, Microbiology & Immunology, Epidemiology & Population Health, and Obstetrics, Gynecology & Women's Health, Albert Einstein College of Medicine, Bronx, NY, USA.
National Institutes of Health · USNational Cancer Institute · USJohns Hopkins University · USKaiser Permanente · USAlbert Einstein College of Medicine · USBoston University · USInformation Management Services · USNorthwestern University · US

Funding

WORD PROCESSORP30CA013330 · NCI · YESHIVA UNIVERSITY · PI STEVEN C. ALMO · 1985 to 2026
$111.2M
Investigations Into The Molecular Pathogenesis Of Cervical Glandular NeoplasiasU01CA238592 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI BURK, ROBERT D, STRICKLER, HOWARD D · 2020 to 2024
$2.8M
NCI NIH HHS P30 CA013330NCI NIH HHS U01 CA238592
6 · The paper itself

Abstract

backgroundCervical screening has not effectively controlled cervical adenocarcinoma (AC). Human papillomavirus (HPV) testing is recommended for cervical screening but the optimal management of HPV-positive individuals to prevent AC remains a question. Cytology and HPV typing are two triage options to predict the risk of AC. We combined two potential biomarkers (atypical glandular cell, AGC, cytology and HPV-types 16, 18, or 45) to assess their joint effect on detecting AC.

methodsKaiser Permanente Northern California (KPNC) used triennial co-testing with cytology and HPV testing (positive/negative) for routine cervical screening between 2003 and 2020. HPV typing of a sample of residual HPV test specimens was performed on a separate cohort selected from KPNC (Persistence and Progression, PaP, cohort). We compared risk of prevalent and incident histologic AC/AIS (adenocarcinoma in situ) associated with preceding combinations of cytologic results and HPV typing. Risk of squamous cell cancer (SCC)/cervical intraepithelial neoplasia grade 3 (CIN3) (SCC/CIN3) was also included for comparison.

resultsAmong HPV-positive individuals in PaP cohort, 99% of prevalent AC and 96% of AIS were linked to HPV-types 16, 18, or 45 (denoted HPV 16/18/45). Although rare (0.09% of screening population), the concurrent detection of HPV 16/18/45 with AGC cytology predicted a highly elevated relative risk of underlying histologic AC/AIS; the absolute risk of diagnosing AC/AIS was 12% and odds ratio (OR) was 1341 (95%CI:495-3630) compared to patients with other high-risk HPV types and normal cytology. Cumulatively (allowing non-concurrent results), approximately one-third of the AC/AIS cases ever had HPV 16/18/45 and AGC cytology (OR = 1785; 95%CI:872-3656). AGC was not as strongly associated with SCC/CIN3.

conclusionDetection of HPV 16/18/45 positivity elevates risk of adenocarcinoma, particularly if AGC cytology is also found.

Indexed as

AdenocarcinomaCarcinoma, Squamous CellPapillomavirus InfectionsUterine Cervical DysplasiaUterine Cervical NeoplasmsEarly Detection of CancerFemaleHuman papillomavirus 16Human papillomavirus 18HumansPapillomaviridaeVaginal SmearsAdenocarcinomaCervixCytologyHPVScreening

Identifiers

PMID37243996
PMCPMC11089431
OpenAlexW4378194306

What OpenQuestion holds

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LicenceTDM
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.