This is a revised clinical- and translational-based interdisciplinary Program Project Grant application entitled """"""""Chinese Herbal Medicine as a Novel Paradigm for Cancer Chemotherapy"""""""". The Pl of this Program is Yung-chi Cheng, Ph.D., and he directs Project 2. He is joined two other well-established Project leaders, Edward Chu, M.D. (Project 1), who also serves as Co-P.l. of the Program, and Hongyu Zhao, Ph.D. (Project 3). These 3 Projects are supported by an Administrative Core (Core A) and an Analytical Core (Core B). In this application, we propose to investigate PHY906, a Chinese herbal medicine that has been used in the Orient for nearly 2000 years. Our group has developed a rigorous standard operating procedure to produce cGMP material as well as develop highly sensitive chemical (LC-MS) and biological (gene expression) fingerprinting methodologies to ensure quality control and consistency of batch preparation. Using high quality cGMP material, we plan to conduct a randomized, double-blind, placebo-controlled study where PHY906 will be tested in combination with the topoisomerase I inhibitor irinotecan (CPT-11) in patients with mCRC in the 2nd- line setting. In Project 1, Dr. Chu will investigate the effect of PHY906 on the safety, health-related quality of life, and clinical efficacy of CPT-11 monotherapy. In Project 2, Dr. Cheng will conduct an extensive series of biomarker analyses to identify the potential pharmacodynamic markers that can be used to predict for the clinical activity and efficacy of PHY906 when used in combination with CPT-11. In Project 3, Dr. Zhao will develop novel bioinformatic and computational methodologies to mine the translational data coming from Project 2 with the goal of identifying the predictive biomarkers that are associated with either the cytoprotective effects of PHY906 on CPT-11 toxicity and/or the modulatory effects of PHY906 on clinical efficacy of CPT-11 chemotherapy, as determined by the studies proposed in Project 1. Several mechanisms are in place to ensure the close interaction and cohesion of the Program, and these include monthly meetings of the Project leaders, an annual retreat, and an internal advisory board to provide guidance and advice.
This is a multi-investigator, clinical- and translational-based grant that seeks to investigate the role of a novel Chinese herbal medicine as a modulator of cancer chemotherapy in the treatment of metastatic colorectal cancer. This study may serve as a new treatment paradigm for developing herbal and/or botanical medicines in combination with cancer chemotherapy for the treatment of other human cancers.
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|Sun, Jiehuan; Herazo-Maya, Jose D; Kaminski, Naftali et al. (2017) A Dirichlet process mixture model for clustering longitudinal gene expression data. Stat Med 36:3495-3506|
|Chao, Jung; Dai, Yuntao; Cheng, Hao-Yuan et al. (2017) Improving the Concentrations of the Active Components in the Herbal Tea Ingredient, Uraria crinita: The Effect of Post-harvest Oven-drying Processing. Sci Rep 7:38763|
|Lin, Zhixiang; Wang, Tao; Yang, Can et al. (2017) On joint estimation of Gaussian graphical models for spatial and temporal data. Biometrics 73:769-779|
|Sun, Jiehuan; Warren, Joshua L; Zhao, Hongyu (2017) A Bayesian semiparametric factor analysis model for subtype identification. Stat Appl Genet Mol Biol 16:145-158|
|Wang, Ying; Lam, Wing; Chen, Shao-Ru et al. (2016) Tylophorine Analog DCB-3503 Inhibited Cyclin D1 Translation through Allosteric Regulation of Heat Shock Cognate Protein 70. Sci Rep 6:32832|
|Lin, Zhixiang; Li, Mingfeng; Sestan, Nenad et al. (2016) A Markov random field-based approach for joint estimation of differentially expressed genes in mouse transcriptome data. Stat Appl Genet Mol Biol 15:139-50|
|Hu, Yiming; Zhao, Hongyu (2016) CCor: A whole genome network-based similarity measure between two genes. Biometrics 72:1216-1225|
|Lin, Zhixiang; Yang, Can; Zhu, Ying et al. (2016) Simultaneous dimension reduction and adjustment for confounding variation. Proc Natl Acad Sci U S A 113:14662-14667|
|Li, Cong; Yang, Can; Hather, Greg et al. (2016) Efficient Drug-Pathway Association Analysis via Integrative Penalized Matrix Decomposition. IEEE/ACM Trans Comput Biol Bioinform 13:531-40|
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