Evidence map›Paper›PMID 19690188›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2009

Human papillomavirus types 16 and 18 DNA load in relation to coexistence of other types, particularly those in the same species.

Long Fu Xi, Zoe R Edelstein, Craig Meyers, Jesse Ho, Stephen L Cherne, Mark Schiffman

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Capturing multiple-type interactions into practical predictors of type replacement following human papillomavirus vaccination.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  7. Article
  8. Article
  9. Prospective study of HPV16 viral load and risk of in situ and invasive squamous cervical cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2013
    Article
  10. Design and characterization of an enhanced repressor of human papillomavirus E2 protein.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2011
    Article
  11. Article
  12. Article
  13. Relationship between cigarette smoking and human papilloma virus types 16 and 18 DNA load.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2009
    Article
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

6 authors at 3 institutions in 1 country.

Long Fu XiDepartment of Pathology, School of Medicine, University of Washington, Seattle, Washington, USA. longfu@u.washington.edu
Zoe R Edelstein
Craig Meyers
Jesse Ho
Stephen L Cherne
Mark Schiffman
Penn State Milton S. Hershey Medical Center · USDivision of Cancer Epidemiology and GeneticsNational Cancer Institute · US

Funding

Human papillomavirus (HPV) infection and cervical and anal cancersZIACP010124 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI WENTZENSEN, NICOLAS · 2009 to 2025
$17.3M
EPIDEMIOLOGY OF HPV16/18 VARIANTS IN CERVICAL NEOPLASIAR01CA084396 · NCI · UNIVERSITY OF WASHINGTON · PI XI, LONG FU · 2000 to 2003
$1.0M
NCI NIH HHS CA 84396NCI NIH HHS R01 CA084396
6 · The paper itself

Abstract

backgroundInfection with multiple human papillomavirus (HPV) types is common. However, it is unknown whether viral DNA load is related to the coexistence of other types.

methodsStudy subjects were 802 and 303 women who were positive for HPV16 and HPV18, respectively, at enrollment into the Atypical Squamous Cells of Undetermined Significance and Low-Grade Squamous Intraepithelial Lesion Triage Study. HPV16 and HPV18 E7 copies per nanogram of cellular DNA in cervical swab samples were measured by real-time PCR in triplicate.

resultsConcurrent coinfection was common in this population of women with minor cervical lesions; multiple HPV types were detected in 573 (71.4%) of 802 HPV16-positive women and 227 (74.9%) of 303 HPV18-positive women. The adjusted odds ratio associating coinfection with per 1 log unit increase in HPV16 DNA load was 0.78 (95% confidence interval, 0.68-0.89); it was 0.64 (95% confidence interval, 0.52-0.79) for a similar analysis of HPV18 DNA load. Women with, compared with without, coinfection of A9 species types possessed a significantly lower HPV16 DNA load (P < 0.001), whereas women with, compared with without, coinfection of A7 species types possessed a significantly lower HPV18 DNA load (P = 0.001). A trend of decrease in HPV16 DNA load with increasing number of the coexisting non-HPV16 A9 species types was statistically significant (P(trend) = 0.001).

conclusionCoinfection with other types was associated with lower HPV16 and HPV18 DNA load. The extent of reduction was correlated to phylogenetic distance of the coexisting types to HPV16 and HPV18, respectively.

Indexed as

DNA, ViralEarly Detection of CancerFemaleHuman papillomavirus 16Human papillomavirus 18HumansPapillomavirus InfectionsUnited StatesUterine Cervical DiseasesUterine Cervical DysplasiaUterine Cervical NeoplasmsViral LoadDNA, Viral

Identifiers

PMID19690188
PMCPMC2745080
OpenAlexW2133266177

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.