Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/62192

TitleCompeting-risks regression models in analysis of biomarkers as predictors of high-risk human papillomavirus (HPV) infection outcomes and incident CIN in the LAMS cohort
Author(s)Syrjänen, Stina
Longhato, Adhemar
Sarian, Luis O.
Naud, Paulo
Derchain, Sophie
Rottelli-Martins, Cecilia
Tatti, Silvio
Branca, Margherita
Eržen, Mojca
Hammes, Luciano S.
Matos, Jean
Gontijo, Renata
Bragança, Joana
Arlindo, Francisco C.
Maeda, Mariana Y. S.
Costa, Silvano
Syrjänen, Kari
Keywords14-3-3 Proteins
Biomarkers
Biomarkers, Tumor
Cervical Intraepithelial Neoplasia
Cervix Uteri
Cohort Studies
DNA, Viral
Disease Progression
E1A-Associated p300 Protein
Exoribonucleases
Female
Humans
Interleukin-10
Lipocalins
Longitudinal Studies
Multivariate Analysis
Papillomaviridae
Papillomavirus Infections
Predictive Value of Tests
Prognosis
Prospective Studies
Serpins
Uterine Cervical Neoplasms
High-risk HPV
Incident CIN
Viral outcomes
Lipocalin
PAI-2 (Serpin-B2)
p300
IL-10
Stratifin (14-3-3)
Competing-risks regression
Predictors
Longitudinal setting
Longitudinal settingHigh-risk HPV
Stratifin (14-3-3s)
Issue dateJul-2013
PublisherLippincott, Williams & Wilkins
JournalInternational Journal of Gynecological Pathology
CitationSyrjänen, S., Longhato-Filho, A., Sarian, L. O., et. al. (2013). Competing-risks regression models in analysis of biomarkers as predictors of high-risk human papillomavirus (HPV) infection outcomes and incident CIN in the LAMS cohort. International Journal of Gynecological Pathology, 32(4), 406-415.
Abstract(s)To assess the prediction potential of a 5-biomarker panel for detecting high-risk human papillomavirus (HR-HPV) infections and/or cervical intraepithelial neoplasia (CIN) progression. Five biomarkers, lipocalin, plasminogen activator inhibitor-2, p300, interleukin-10, and stratifin, were assessed in cervical biopsies from 225 women of the Latin American Screening Study. Competing-risks regression models were constructed to assess their predictive power for (i) HR-HPV outcomes (negative, transient, or persistent infection) and (ii) CIN outcomes (no progression, incident CIN1, CIN2, or CIN3). p300, LCN2, stratifin were significantly associated with prevalent HR-HPV but lost their significance in multivariate analysis. In the multivariate model, only p300 was an independent predictor of CIN3 (odds ratio=2.63; 95% confidence interval, 1.05-6.61; P=0.039). In univariate competing-risks regression, lipocalin predicted permanent HR-HPV-negative status, but in the multivariate model, IL-10 emerged as a independent predictor of HPV-negative status (subhazard ratio=4.04; 95% confidence interval, 1.81-9.01; P=0.001). The clinical value of the panel in predicting longitudinal outcomes of HR-HPV infection and/or incident CIN is limited.
TypeArticle
URIhttps://hdl.handle.net/1822/62192
DOI10.1097/PGP.0b013e31826739b1
ISSN0277-1691
e-ISSN1538-7151
Publisher versionhttps://journals.lww.com/intjgynpathology/Abstract/2013/07000/Competing_Risks_Regression_Models_in_Analysis_of.10.aspx
Peer-Reviewedyes
AccessRestricted access (Author)
Appears in Collections:ICVS - Artigos em revistas internacionais / Papers in international journals

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