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 #
5P01CA082710-12
Application #
8549693
Study Section
Special Emphasis Panel (ZCA1-RPRB-7)
Project Start
Project End
Budget Start
2013-08-01
Budget End
2014-07-31
Support Year
12
Fiscal Year
2013
Total Cost
$274,434
Indirect Cost
$89,366
Name
Texas Tech University
Department
Type
DUNS #
609980727
City
Lubbock
State
TX
Country
United States
Zip Code
79430
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
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
Nghiem, V T; Davies, K R; Beck, J R et al. (2015) Economic evaluation of DNA ploidy analysis vs liquid-based cytology for cervical screening. Br J Cancer 112:1951-7
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
Davies, Kalatu R; Cantor, Scott B; Cox, Dennis D et al. (2015) An alternative approach for estimating the accuracy of colposcopy in detecting cervical precancer. PLoS One 10:e0126573
Li, Gerald; van Niekerk, Dirk; Miller, Dianne et al. (2014) Molecular fixative enables expression microarray analysis of microdissected clinical cervical specimens. Exp Mol Pathol 96:168-77
Wang, Lu; Lee, Jong Soo; Lane, Pierre et al. (2014) A statistical model for removing inter-device differences in spectroscopy. Opt Express 22:7617-24
Scheurer, Michael E; Danysh, Heather E; Follen, Michele et al. (2014) Association of traffic-related hazardous air pollutants and cervical dysplasia in an urban multiethnic population: a cross-sectional study. Environ Health 13:52

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