The goal of this Program Project is to integrate advances in cancer biology and optical technology to develop cost-effective tools to aid in early detection of cervical cancer. Cervical cancer is the second most common cancer among women worldwide, and the leading cause of cancer death in women in developing countries. Our team of scientists, engineers, clinicians, and social scientists is developing optical tools to monitor biologically predictive features of cervical cancer. In this Program Project, we have demonstrated that quantitative imaging and analysis of cytologic smears and histopathologic specimens can improve screening and diagnosis of cervical cancer and its precursors. This automated approach can substantially reduce the need for clinical expertise;the shortage of adequately trained health care personnel is a critical obstacle which prevents screening in many low-resource settings. Project 1 is devoted to developing a biological model of cervical neoplasia. This integrated model will guide the invention, assessment, and improvement of new optical technologies for the screening and diagnosis of cervical cancer. Using our rich database of quantitative histopathology images of the cervix, the models will depict the 3D structure of the cervix at the microscopic level. The model will also describe spatial changes in cellular and nuclear morphology, tissue architecture, ploidy, inflammation, angiogenesis and biomarker expression throughout the epithelium and stroma of each pathologically defined phase of cervical neoplasia. We will incorporate electromagnetic models to describe relationships between light reflectance behavior and tissue properties. After carefully validating the model in a series of 2D and 3D imaging experiments, we will use the model to guide the development of new cancer imaging devices. Because HPV vaccines could take decades to deploy, early detection remains our best defense against cervical cancer. We also hope that the models derived in this Project can be applied in the future to aid in the development of diagnostic equipment to prevent or guide the treatment of other diseases.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
2P01CA082710-09A2
Application #
7838982
Study Section
Special Emphasis Panel (ZCA1-RPRB-7 (O1))
Project Start
2009-12-01
Project End
2014-11-30
Budget Start
2009-12-01
Budget End
2011-07-31
Support Year
9
Fiscal Year
2010
Total Cost
$471,410
Indirect Cost
Name
Drexel University
Department
Type
DUNS #
002604817
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Montealegre, J R; Peckham-Gregory, E C; Marquez-Do, D et al. (2018) Racial/ethnic differences in HPV 16/18 genotypes and integration status among women with a history of cytological abnormalities. Gynecol Oncol 148:357-362
Montealegre, Jane R; Varier, Indu; Bracamontes, Christina G et al. (2017) Racial/ethnic variation in the prevalence of vaccine-related human papillomavirus genotypes. Ethn Health :1-12
Zhu, Hongxiao; Morris, Jeffrey S; Wei, Fengrong et al. (2017) Multivariate functional response regression, with application to fluorescence spectroscopy in a cervical pre-cancer study. Comput Stat Data Anal 111:88-101
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Nghiem, Van T; Davies, Kalatu R; Beck, J Robert et al. (2016) Overtreatment and Cost-Effectiveness of the See-and-Treat Strategy for Managing Cervical Precancer. Cancer Epidemiol Biomarkers Prev 25:807-14
Nghiem, Van T; Davies, Kalatu R; Chan, Wenyaw et al. (2016) Disparities in cervical cancer survival among Asian-American women. Ann Epidemiol 26:28-35
Bodenschatz, Nico; Lam, Sylvia; Carraro, Anita et al. (2016) Diffuse optical microscopy for quantification of depth-dependent epithelial backscattering in the cervix. J Biomed Opt 21:66001
Sheikhzadeh, Fahime; Ward, Rabab K; Carraro, Anita et al. (2015) Quantification of confocal fluorescence microscopy for the detection of cervical intraepithelial neoplasia. Biomed Eng Online 14:96
Yamal, Jose-Miguel; Guillaud, Martial; Atkinson, E Neely et al. (2015) Prediction using hierarchical data: Applications for automated detection of cervical cancer. Stat Anal Data Min 8:65-74
Montealegre, Jane R; Landgren, Rachel M; Anderson, Matthew L et al. (2015) Acceptability of self-sample human papillomavirus testing among medically underserved women visiting the emergency department. Gynecol Oncol 138:317-22

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