This core will collaborate and consult with POI Investigators on study design and data analysis to ensure the clinical research will satisfy high scientific standards for statistical rigor. The requested funding will provide statistical support to the clinical trials proposed on Projects 1 &2 and the retrospective studies of clinical outcomes planned in Projects 3 &4, including related data management and computing components. In particular, the Biostatistics Core is a dedicated facility to provide ready and specialized access to: (1) Statistical expertise for the design, planning, and conduct of clinical trials. Design issues may arise in retrospective studies, for example, sample size considerations. (2) Statistical expertise for data analysis, interpretation and reporting of clinical studies. Analysis of clinical trials may include interim monitoring plans for safety and early stopping rules for lack of efficacy. (3) Consultation on developing and implementing plans for (a) data collection, including coding conventions and variable formats (b) data management, including forms design, database specifications and quality control. (4) Consultation on data management plans, including data entry, quality control, study monitoring and protocol auditing. (5) Computing facilities and resources for statistical and related requirements, including data transfer, merging, sharing, and security. The POI projects may require transfer and merging of clinical and laboratory data from different databases, while maintaining patient confidentiality and satisfying federal and institutional standards on personal identifiers. This core supports the mission of the NCI to improve the treatment and continuing care of cancer patients

Public Health Relevance

This research aims to improve radiation treatment for cancer patients by improving our ability to direct the radiation at the tumor to spare adjacent normal tissue by using protons (charged particles) with intensity- modulated proton therapy. This can potentially improve cancer cure rates, reduce side effects, or both, depending on the clinical scenario. With an increasing number of proton centers in the United States and abroad, the research in this program project is increasingly important for public health.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program--Cooperative Agreements (U19)
Project #
2U19CA021239-35
Application #
8716866
Study Section
Special Emphasis Panel (ZCA1-RPRB-C (J1))
Project Start
1997-04-01
Project End
2019-08-31
Budget Start
2014-09-25
Budget End
2015-08-31
Support Year
35
Fiscal Year
2014
Total Cost
$249,952
Indirect Cost
$52,048
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
Frank, Steven J; Blanchard, Pierre; Lee, J Jack et al. (2018) Comparing Intensity-Modulated Proton Therapy With Intensity-Modulated Photon Therapy for Oropharyngeal Cancer: The Journey From Clinical Trial Concept to Activation. Semin Radiat Oncol 28:108-113
Yue, Jinbo; Shi, Qiuling; Xu, Ting et al. (2018) Patient-reported lung symptoms as an early signal of impending radiation pneumonitis in patients with non-small cell lung cancer treated with chemoradiation: an observational study. Qual Life Res 27:1563-1570
Botas, Pablo; Grassberger, Clemens; Sharp, Gregory et al. (2018) Density overwrites of internal tumor volumes in intensity modulated proton therapy plans for mobile lung tumors. Phys Med Biol 63:035023
Guan, Fada; Geng, Changran; Ma, Duo et al. (2018) RBE Model-Based Biological Dose Optimization for Proton Radiobiology Studies. Int J Part Ther 5:160-171
Liao, Zhongxing; Simone 2nd, Charles B (2018) Particle therapy in non-small cell lung cancer. Transl Lung Cancer Res 7:141-152
Blanchard, Pierre; Gunn, Gary Brandon; Lin, Alexander et al. (2018) Proton Therapy for Head and Neck Cancers. Semin Radiat Oncol 28:53-63
Chen, Yizheng; Grassberger, Clemens; Li, Junli et al. (2018) Impact of potentially variable RBE in liver proton therapy. Phys Med Biol 63:195001
Geng, Changran; Gates, Drake; Bronk, Lawrence et al. (2018) Physical parameter optimization scheme for radiobiological studies of charged particle therapy. Phys Med 51:13-21
Liao, Zhongxing; Lee, J Jack; Komaki, Ritsuko et al. (2018) Bayesian Adaptive Randomization Trial of Passive Scattering Proton Therapy and Intensity-Modulated Photon Radiotherapy for Locally Advanced Non-Small-Cell Lung Cancer. J Clin Oncol 36:1813-1822
Yepes, Pablo; Adair, Antony; Grosshans, David et al. (2018) Comparison of Monte Carlo and analytical dose computations for intensity modulated proton therapy. Phys Med Biol 63:045003

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