Literature DB >> 28655061

Outcomes in Women With Cytology Showing Atypical Squamous Cells of Undetermined Significance With vs Without Human Papillomavirus Testing.

Jack Cuzick1, Orrin Myers2, Ji-Hyun Lee2, Yang Shi3, Julia C Gage4, William C Hunt5, Michael Robertson5, Cosette M Wheeler5,6.   

Abstract

IMPORTANCE: Little is known about the long-term yield of high-grade cervical intraepithelial neoplasia (CIN) and the influence on biopsy and treatment rates of human papillomavirus (HPV) triage of cytology showing atypical squamous cells of undetermined significance (hereafter ASC-US cytology).
OBJECTIVE: To examine 5-year outcomes after ASC-US cytology with vs without HPV testing. DESIGN, SETTING, AND PARTICIPANTS: In this observational study, all cervical cytology and HPV testing reports from January 1, 2007, to December 31, 2012, were obtained for women throughout New Mexico and linked to pathology reports. The dates of the analysis were May 4, 2015, to January 13, 2017. MAIN OUTCOMES AND MEASURES: Influence of HPV testing on disease yield, time to histologically confirmed disease, and biopsy or loop electrosurgical excision procedure rates.
RESULTS: A total of 457 317 women (mean [SD] age, 39.8 [12.5] years) with a screening test were recorded between 2008 and 2012, and 20 677 (4.5%) of the first cytology results per woman were reported as ASC-US. CIN grade 3 or more severe (CIN3+) lesions were detected in 2.49% of women with HPV testing vs 2.15% of women without HPV testing (P = .23). Time to CIN3+ detection was much shorter in those with HPV testing vs those without testing (median, 103 vs 393 days; P < .001). CIN grade 1 was detected in 11.6% of women with HPV testing vs 6.6% without testing (relative risk, 1.76; 95% CI, 1.56-2.00; P < .001). Loop electrosurgical excision procedure rates within 5 years were 20.0% higher in those who underwent HPV testing, resulting in more CIN2+ and CIN3+ detection. CONCLUSIONS AND RELEVANCE: Human papillomavirus testing led to faster and more complete diagnosis of cervical disease, but 55.8% more biopsies and 20.0% more loop electrosurgical excision procedures were performed. In those tested, virtually all high-grade disease occurred in the 43.1% of women who were HPV positive, allowing clinical resources to be focused on women who need them most. These data provide essential information for cervical screening guidelines and public health policy.

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Year:  2017        PMID: 28655061      PMCID: PMC5710525          DOI: 10.1001/jamaoncol.2017.1040

Source DB:  PubMed          Journal:  JAMA Oncol        ISSN: 2374-2437            Impact factor:   31.777


  13 in total

1.  American Cancer Society, American Society for Colposcopy and Cervical Pathology, and American Society for Clinical Pathology screening guidelines for the prevention and early detection of cervical cancer.

Authors:  Debbie Saslow; Diane Solomon; Herschel W Lawson; Maureen Killackey; Shalini L Kulasingam; Joanna Cain; Francisco A R Garcia; Ann T Moriarty; Alan G Waxman; David C Wilbur; Nicolas Wentzensen; Levi S Downs; Mark Spitzer; Anna-Barbara Moscicki; Eduardo L Franco; Mark H Stoler; Mark Schiffman; Philip E Castle; Evan R Myers
Journal:  CA Cancer J Clin       Date:  2012-03-14       Impact factor: 508.702

2.  Cost-effectiveness of alternative triage strategies for atypical squamous cells of undetermined significance.

Authors:  Jane J Kim; Thomas C Wright; Sue J Goldie
Journal:  JAMA       Date:  2002-05-08       Impact factor: 56.272

3.  p16/Ki-67 Dual Stain Cytology for Detection of Cervical Precancer in HPV-Positive Women.

Authors:  Nicolas Wentzensen; Barbara Fetterman; Philip E Castle; Mark Schiffman; Shannon N Wood; Eric Stiemerling; Diane Tokugawa; Clara Bodelon; Nancy Poitras; Thomas Lorey; Walter Kinney
Journal:  J Natl Cancer Inst       Date:  2015-09-15       Impact factor: 13.506

4.  Human papillomavirus testing 2007-2012: co-testing and triage utilization and impact on subsequent clinical management.

Authors:  Jack Cuzick; Orrin Myers; William C Hunt; Debbie Saslow; Philip E Castle; Walter Kinney; Alan Waxman; Michael Robertson; Cosette M Wheeler
Journal:  Int J Cancer       Date:  2014-12-01       Impact factor: 7.396

5.  Human papillomavirus type 16 infections and 2-year absolute risk of cervical precancer in women with equivocal or mild cytologic abnormalities.

Authors:  Philip E Castle; Diane Solomon; Mark Schiffman; Cosette M Wheeler
Journal:  J Natl Cancer Inst       Date:  2005-07-20       Impact factor: 13.506

6.  Elevated methylation of HPV16 DNA is associated with the development of high grade cervical intraepithelial neoplasia.

Authors:  Lisa Mirabello; Mark Schiffman; Arpita Ghosh; Ana C Rodriguez; Natasa Vasiljevic; Nicolas Wentzensen; Rolando Herrero; Allan Hildesheim; Sholom Wacholder; Dorota Scibior-Bentkowska; Robert D Burk; Attila T Lorincz
Journal:  Int J Cancer       Date:  2012-08-20       Impact factor: 7.396

7.  HPV33 DNA methylation measurement improves cervical pre-cancer risk estimation of an HPV16, HPV18, HPV31 and \textit{EPB41L3} methylation classifier.

Authors:  Adam R Brentnall; Natasa Vasiljevic; Dorota Scibior-Bentkowska; Louise Cadman; Janet Austin; Jack Cuzick; Attila T Lorincz
Journal:  Cancer Biomark       Date:  2015       Impact factor: 4.388

8.  A population-based evaluation of cervical screening in the United States: 2008-2011.

Authors:  Jack Cuzick; Orrin Myers; William C Hunt; Michael Robertson; Nancy E Joste; Philip E Castle; Vicki B Benard; Cosette M Wheeler
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-12-03       Impact factor: 4.254

9.  Individual detection of 14 high risk human papilloma virus genotypes by the PapType test for the prediction of high grade cervical lesions.

Authors:  Jack Cuzick; Linda Ho; George Terry; Michelle Kleeman; Michael Giddings; Janet Austin; Louise Cadman; Lesley Ashdown-Barr; Maria J Costa; Anne Szarewski
Journal:  J Clin Virol       Date:  2014-02-14       Impact factor: 3.168

10.  Evaluating cytology for the detection of invasive cervical cancer.

Authors:  R Landy; A Castanon; W Hamilton; A W W Lim; N Dudding; A Hollingworth; P D Sasieni
Journal:  Cytopathology       Date:  2015-06-30       Impact factor: 2.073

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  7 in total

1.  Classification of cervical biopsy free-text diagnoses through linear-classifier based natural language processing.

Authors:  Jim Wei-Chun Hsu; Paul Christensen; Yimin Ge; S Wesley Long
Journal:  J Pathol Inform       Date:  2022-07-01

2.  The Triage Effectiveness of an Extended High-Risk Human Papillomavirus Genotyping Assay for Women with Cytology Showing Atypical Squamous Cells of Undetermined Significance in China.

Authors:  Diling Pan; Binhua Dong; Hangjing Gao; Xiaodan Mao; Huifeng Xue; Pengming Sun
Journal:  Risk Manag Healthc Policy       Date:  2020-09-24

3.  The Next Generation of Cervical Cancer Screening: Should Guidelines Focus on Best Practices for the Future or Current Screening Capacity?

Authors:  Phil Castle; Sarah Feldman; Rebecca B Perkins
Journal:  J Low Genit Tract Dis       Date:  2018-04       Impact factor: 1.925

4.  Population-based e-records to evaluate HPV triage of screen-detected atypical squamous cervical lesions in Catalonia, Spain, 2010-15.

Authors:  Silvia de Sanjosé; Vanesa Rodríguez-Salés; Xavier F Bosch; Raquel Ibañez; Laia Bruni
Journal:  PLoS One       Date:  2018-11-26       Impact factor: 3.240

5.  Bayesian analysis of baseline risk of CIN2 and ≥CIN3 by HPV genotype in a European referral cohort.

Authors:  Jesper Bonde; Fabio Bottari; Valentin Parvu; Helle Pedersen; Karen Yanson; Anna D Iacobone; Salma Kodsi; Fabio Landoni; Laurence Vaughan; Ditte M Ejegod; Maria T Sandri
Journal:  Int J Cancer       Date:  2019-04-30       Impact factor: 7.396

6.  T Cell Receptor Repertoires Acquired via Routine Pap Testing May Help Refine Cervical Cancer and Precancer Risk Estimates.

Authors:  Scott Christley; Jared Ostmeyer; Lisa Quirk; Wei Zhang; Bradley Sirak; Anna R Giuliano; Song Zhang; Nancy Monson; Jasmin Tiro; Elena Lucas; Lindsay G Cowell
Journal:  Front Immunol       Date:  2021-04-02       Impact factor: 7.561

7.  The artificial intelligence-assisted cytology diagnostic system in large-scale cervical cancer screening: A population-based cohort study of 0.7 million women.

Authors:  Heling Bao; Xiaorong Sun; Yi Zhang; Baochuan Pang; Hua Li; Liang Zhou; Fengpin Wu; Dehua Cao; Jian Wang; Bojana Turic; Linhong Wang
Journal:  Cancer Med       Date:  2020-07-22       Impact factor: 4.452

  7 in total

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