The objective of this project is to use noninvasive hypoxic imaging to identify clinically and biologically radioresistant hypoxic tumors and to target them with higher radiation doses by intensity modulated radiation therapy (IMRT) to overcome hypoxic resistance. It is proposed to achieve this objective by validating the efficacy of a novel hypoxic tumor imaging method for identifying radioresistant tumors in patients with locally advanced head and neck cancers, and by understanding the geometric distribution of the hypoxic tumor subvolume, which may evolve within the gross tumor volume (GTV) during radiation treatment. Cu(II)-diacetyl-bis(N4-methylthiosemicarbazone), or (Cu-ATSM), is a newly developed hypoxic marker for detecting tumor hypoxia noninvasively by positron emission tomography (PET). In the following two aims the applicants will test the hypothesis that Cu-60-ATSM PET can effectively image radiobiologically resistant hypoxic tumor and can help to understand its spatial distribution and displacement during therapy. Then hypoxic-image-guided conformal radiation therapy can be implemented clinically.
In Specific Aim 1 the applicants will determine whether hypoxic head and neck tumors, as judged by Cu-ATSM PET scan activity, are more resistant to radiation therapy. They hypothesize that head and neck tumors with larger hypoxic tumor volume (hGTV) will have more residual disease by surgical/pathological assessment.
In Specific Aim 2 the applicants will determine whether the pretreatment hypoxic tumor target volume encompasses all regions of hypoxic tumor during the course of radiation therapy. They will test the hypothesis by performing multiple Cu-60 ATSM PET scans during the course of irradiation to understand the spatial evolution of hypoxic tumor.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
7R01CA089198-03
Application #
6633890
Study Section
Radiation Study Section (RAD)
Program Officer
Deye, James
Project Start
2001-06-19
Project End
2007-02-28
Budget Start
2003-08-14
Budget End
2007-02-28
Support Year
3
Fiscal Year
2003
Total Cost
$250,660
Indirect Cost
Name
University of Texas MD Anderson Cancer Center
Department
Radiation-Diagnostic/Oncology
Type
Other Domestic Higher Education
DUNS #
800772139
City
Houston
State
TX
Country
United States
Zip Code
77030
Tung, David C Y; Chao, K S Clifford (2007) Targeting hedgehog in cancer stem cells: how a paradigm shift can improve treatment response. Future Oncol 3:569-74
Sims-Mourtada, J; Izzo, J G; Ajani, J et al. (2007) Sonic Hedgehog promotes multiple drug resistance by regulation of drug transport. Oncogene 26:5674-9
Chao, K S Clifford (2007) 3'-deoxy-3'-(18)F-fluorothymidine (FLT) positron emission tomography for early prediction of response to chemoradiotherapy--a clinical application model of esophageal cancer. Semin Oncol 34:S31-6
Yuan, Shuanghu; Meng, Xue; Yu, Jinming et al. (2007) Determining optimal clinical target volume margins on the basis of microscopic extracapsular extension of metastatic nodes in patients with non-small-cell lung cancer. Int J Radiat Oncol Biol Phys 67:727-34
Sims-Mourtada, Jennifer; Izzo, Julie G; Apisarnthanarax, Smith et al. (2006) Hedgehog: an attribute to tumor regrowth after chemoradiotherapy and a target to improve radiation response. Clin Cancer Res 12:6565-72
Apisarnthanarax, Smith; Alauddin, Mian M; Mourtada, Firas et al. (2006) Early detection of chemoradioresponse in esophageal carcinoma by 3'-deoxy-3'-3H-fluorothymidine using preclinical tumor models. Clin Cancer Res 12:4590-7
Yuan, Shuanghu; Yu, Yonghua; Chao, K S Clifford et al. (2006) Additional value of PET/CT over PET in assessment of locoregional lymph nodes in thoracic esophageal squamous cell cancer. J Nucl Med 47:1255-9
Chao, K S Clifford (2006) Functional imaging for early prediction of response to chemoradiotherapy: 3'-deoxy-3'-18F-fluorothymidine positron emission tomography--a clinical application model of esophageal cancer. Semin Oncol 33:S59-63
Apisarnthanarax, Smith; Chao, K S Clifford (2005) Current imaging paradigms in radiation oncology. Radiat Res 163:1-25
Chao, K S Clifford; Blanco, Angel I; Dempsey, James F (2003) A conceptual model integrating spatial information to assess target volume coverage for IMRT treatment planning. Int J Radiat Oncol Biol Phys 56:1438-49

Showing the most recent 10 out of 14 publications