Cervical cancer is the leading cause of cancer mortality among women in developing countries;in the developed world, extensive health care resources are used to screen and diagnose for cervical cancer and its precursors. The overall goal of this program project is to develop new optical technologies and molecular imaging agents that increase accuracy, decrease costs, and reduce the need for provider expertise and infrastructure in both the developed and developing worlds. The goal of the Administration, Epidemiology, and Research Protocol Management Core (Core A)is to coordinate the overall project and core organization, and ensure continued adherence to goals. As demonstrated throughout this Program Project, all projects and cores have made significant progress toward their original aims. Well-coordinated meetings of the entire team have proven critical in this process. Core A will continue to facilitate these productive interactions, as well as to coordinate submission of publications to peer-reviewed journals, trips to scientific meetings, and submission of reports to the NCI and the Institutional Review Boards at all clinical trial locations. In the last five years, Core A has coordinated the submission of 84 manuscripts, prepared numerous abstracts, and increased exposure for all project and core leaders. All previous core leaders have become project leaders in this renewal. New core leaders have been added. Two remarkable events have broadened the scope of the Program Project: 1) a Biomedical Research Partnership (BRP) grant, and 2) foundation support from ExxonMobil to begin a cervical screening program in Nigeria. The BRP is inventing new technologies and molecular imaging agents that can be spun out into the P01. The ExxonMobil foundation funding has allowed us to begin a meaningful and rich collaboration with the University College Hospital in Ibadan and coordinated five additional screening sites that are representative of the ethnic, religious, and political diversity of Nigeria.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA082710-10
Application #
8323520
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
2012-07-31
Budget Start
2011-08-01
Budget End
2012-07-31
Support Year
10
Fiscal Year
2011
Total Cost
$186,474
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
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
Yang, Jingjing; Cox, Dennis D; Lee, Jong Soo et al. (2017) Efficient Bayesian hierarchical functional data analysis with basis function approximations using Gaussian-Wishart processes. Biometrics 73:1082-1091
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
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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