Objectives-Conventional cervical screening is insufficient at identifying patients who are likely to progress from cervical dysplasia to carcinoma. Traditional epidemiologic studies have identified potential factors to aid in the discrimination between those lesions likely to progress from those likely to regress; however, there is still much to be learned. To examine the role of traditional epidemiologic factors in conjunction with molecular markers of human papillomavirus activity, we studied a group of women attending colposcopy clinics in Houston, TX and Vancouver, BC between October 2000 and July 2003.Methods-Quantitative real-time PCR was used to measure mRNA expression of the human papillomavirus E7 gene, and quantitative cytology was used to gather information about the DNA index and chromatin features of the cells from these women. Logistic regression was used to establish predictor variables for histologic grade based on the epidemiologic risk factors and the molecular markers.Results-The most predictive factors were mRNA level, DNA index, parity, and age. The ROC curve for the individual logits indicated excellent discrimination.Conclusion-In accordance with other authors, these results suggest that molecular markers of the malignant process should be included in analyses looking to predict the progression potential of cervical lesions. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. We quantitated HPV mRNA expression and cytometric features from cervical swab specimens. These molecular markers were then used along with the epidemiologic risk factors to build a polytomous regression model to predict level of dysplasia. This was done to ascertain which of the traditional epidemiologic risk factors continue to play an important role in carcinogenesis when considering the molecular events that occur.
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Methods
Study design and populationThis analytical cross-sectional study was performed using data from a multi-center Phase II clinical trial which employed fluorescence and reflectance point spectroscopy to diagnose cervical disease. Overall study designs, protocols, and preliminary results from the parent study are presented in detail elsewhere.[6] The current study assessed the potential role of HPV mRNA levels and nuclear morphometric characteristics (e.g., DNA index and chromatin condensation) as covariates in the classification of HPV-associated cervical dysplasia. Data and specimen collection A demographic and epidemiologic risk factor questionnaire was completed upon each participant's enrollment in the study. Clinical specimens were ...