Literature DB >> 19124488

Human papillomavirus cofactors by disease progression and human papillomavirus types in the study to understand cervical cancer early endpoints and determinants.

Sophia S Wang1, Rosemary E Zuna, Nicolas Wentzensen, S Terence Dunn, Mark E Sherman, Michael A Gold, Mark Schiffman, Sholom Wacholder, Richard A Allen, Ingrid Block, Kim Downing, Jose Jeronimo, J Daniel Carreon, Mahboobeh Safaeian, David Brown, Joan L Walker.   

Abstract

Human papillomavirus (HPV) cofactors for cervical cancer include smoking, multiparity, and oral contraceptive use, but their mechanisms of action are not fully understood. It is also unknown whether cofactors vary by HPV genotypes. The Study to Understand Cervical Cancer Early Endpoints and Determinants (SUCCEED) is a cross-sectional study comprising women referred to the University of Oklahoma from November 2003 to September 2007 for abnormal cervical screening results. Detailed questionnaire data and liquid cytology specimens were collected and the latter was genotyped for HPV using the LINEAR ARRAY HPV Genotyping Test. The present analysis includes women with both questionnaire and HPV data and diagnosed with <CIN1 (n = 535), CIN1 (n = 497), CIN2 (n = 336), CIN3 (n = 292), and cancer (n = 80). We evaluated HPV types and cofactors among HPV-infected women by calculating odds ratios (OR) and 95% confidence intervals (95% CI) for CIN3 and CIN2 separately compared with <CIN2 using a polytomous logistic regression model; cancers were excluded from further analysis due to the substantially higher ages of these women. We found that HPV-infected women with minor histologic or cytologic abnormalities (e.g., CIN1, ASCUS, and LSIL) were indistinguishable from those with normal histology/cytology and were thus combined to form the referent group (<CIN2). Among women positive for oncogenic HPV, current smokers had a 2.5-fold increased risk for CIN3 (95% CI, 1.8-3.6) compared with nonsmokers. Among HPV16-infected women, current smokers had elevated risk for both CIN2 (OR, 1.9; 95% CI, 1.1-3.2) and CIN3 (OR, 2.7; 95% CI, 1.6-4.6). Our data suggest that non-HPV16-related CIN2 likely reflects a combination of CIN1 and CIN3 diagnosis, whereas HPV16-related CIN2 may indicate a precancerous state. Investigations on the molecular distinctions along the disease continuum of cervical pathogenesis by HPV type are needed.

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Year:  2009        PMID: 19124488      PMCID: PMC2952430          DOI: 10.1158/1055-9965.EPI-08-0591

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  26 in total

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2.  Towards improved biomarker studies of cervical neoplasia: effects of precolposcopic procedures on gene expression patterns.

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  41 in total

1.  Elevated systemic levels of inflammatory cytokines in older women with persistent cervical human papillomavirus infection.

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-07-20       Impact factor: 4.254

2.  Chromosomal copy number alterations and HPV integration in cervical precancer and invasive cancer.

Authors:  Clara Bodelon; Svetlana Vinokurova; Joshua N Sampson; Johan A den Boon; Joan L Walker; Mark A Horswill; Keegan Korthauer; Mark Schiffman; Mark E Sherman; Rosemary E Zuna; Jason Mitchell; Xijun Zhang; Joseph F Boland; Anil K Chaturvedi; S Terence Dunn; Michael A Newton; Paul Ahlquist; Sophia S Wang; Nicolas Wentzensen
Journal:  Carcinogenesis       Date:  2015-12-09       Impact factor: 4.944

3.  Association of HPV16 E6 variants with diagnostic severity in cervical cytology samples of 354 women in a US population.

Authors:  Rosemary E Zuna; William E Moore; Rebecca P Shanesmith; S Terence Dunn; Sophia S Wang; Mark Schiffman; Gregory L Blakey; Travis Teel
Journal:  Int J Cancer       Date:  2009-12-01       Impact factor: 7.396

4.  Discovery and validation of candidate host DNA methylation markers for detection of cervical precancer and cancer.

Authors:  Megan A Clarke; Patricia Luhn; Julia C Gage; Clara Bodelon; S Terence Dunn; Joan Walker; Rosemary Zuna; Stephen Hewitt; J Keith Killian; Liying Yan; Andrew Miller; Mark Schiffman; Nicolas Wentzensen
Journal:  Int J Cancer       Date:  2017-05-26       Impact factor: 7.396

5.  Reproducibility of linear array for human papillomavirus genotyping.

Authors:  Jill Koshiol; S Terence Dunn; Joan L Walker; Rosemary E Zuna; Mark Schiffman; Mark E Sherman; Michael A Gold; Richard A Allen; Roy Zhang; Sophia S Wang; Nicolas Wentzensen
Journal:  J Clin Microbiol       Date:  2012-11-28       Impact factor: 5.948

6.  Prospective study of the association of serum gamma-glutamyltransferase with cervical intraepithelial neoplasia III and invasive cervical cancer.

Authors:  Alexander M Strasak; Georg Goebel; Hans Concin; Ruth M Pfeiffer; Larry J Brant; Gabriele Nagel; Willi Oberaigner; Nicole Concin; Günter Diem; Elfriede Ruttmann; Ulrike Gruber-Moesenbacher; Felix Offner; Alfonso Pompella; Karl P Pfeiffer; Hanno Ulmer
Journal:  Cancer Res       Date:  2010-04-13       Impact factor: 12.701

7.  HPV16 variant lineage, clinical stage, and survival in women with invasive cervical cancer.

Authors:  Rosemary E Zuna; Erin Tuller; Nicolas Wentzensen; Cara Mathews; Richard A Allen; Rebecca Shanesmith; S Terence Dunn; Michael A Gold; Sophia S Wang; Joan Walker; Mark Schiffman
Journal:  Infect Agent Cancer       Date:  2011-10-28       Impact factor: 2.965

8.  Comparison of Colposcopic Impression Based on Live Colposcopy and Evaluation of Static Digital Images.

Authors:  Angela H Liu; Michael A Gold; Mark Schiffman; Katie M Smith; Rosemary E Zuna; S Terence Dunn; Julia C Gage; Joan L Walker; Nicolas Wentzensen
Journal:  J Low Genit Tract Dis       Date:  2016-04       Impact factor: 1.925

9.  Accuracy of cervical specimens obtained for biomarker studies in women with CIN3.

Authors:  Nicolas Wentzensen; Rosemary E Zuna; Mark E Sherman; Michael A Gold; Mark Schiffman; S Terence Dunn; Jose Jeronimo; Roy Zhang; Joan Walker; Sophia S Wang
Journal:  Gynecol Oncol       Date:  2009-09-20       Impact factor: 5.482

10.  A cervical abnormality risk prediction model: can we use clinical information to predict which patients with ASCUS/LSIL Pap tests will develop CIN 2/3 or AIS?

Authors:  Brittany M Charlton; Jenny L Carwile; Karin B Michels; Sarah Feldman
Journal:  J Low Genit Tract Dis       Date:  2013-07       Impact factor: 1.925

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