The Gastrointestinal Oncology Program Is a comprehensive program in gastrointestinal cancer research encompassing basic research, clinical and translational research. The program consists of 39 members from 9 different departments and two schools within the University of Michigan, receiving $9 million in annual direct support, Including $4.4 in NCI funding. The GI grant portfolio includes a $2.1 M SPORE grant to study colorectal and pancreatic cancer, two PO1 grants, U01 and U19 grants. The program is focused on the development of fundamental basic research into the causes and prevention of human gastrointestinal cancers and translational studies applying these research findings to improve the early and accurate diagnosis, evaluation, and therapeutic approaches to gastrointestinal cancer as well as Issues related to health quality outcomes, The basic research alms of the Gastrointestinal Oncology Program focus on mechanisms of cell growth and differentiation, stem cells and cell metastasis. The clinical research focuses on neoadjuvant therapies and biomarkers. The outcome research focuses on health care quality Issues. Nine new program members recruited over this grant period include Drs Marwan Fakih, Weiping Zou, Grace Chen, Chandan Kumar, Marina Pasca Di Magliano, Patrick Hu, Gazala Khan, Theodore Welling, and John Carethers. This program, which was rated as

Public Health Relevance

The GI Oncology Program is dedicated to providing state-of-the art clinical care of patients with neoplasms of the GI tract in a multidisciplinary setting. This allows optimal tumor treatment based on input from multiple disciplines, Including surgery, medical and radiation oncology, gastroenterology, and interventional radiology. The GI oncology program also has a major focus on basic and translational research to develop a more effective approach to cancer prevention and the development of novel, more effective therapeutics.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA046592-24
Application #
8300280
Study Section
Subcommittee G - Education (NCI)
Project Start
2012-06-01
Project End
2017-05-31
Budget Start
2012-09-21
Budget End
2013-05-31
Support Year
24
Fiscal Year
2012
Total Cost
$169,081
Indirect Cost
$60,279
Name
University of Michigan Ann Arbor
Department
Type
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
El Kadi, Najwa; Wang, Luo; Davis, April et al. (2018) The EGFR T790M Mutation Is Acquired through AICDA-Mediated Deamination of 5-Methylcytosine following TKI Treatment in Lung Cancer. Cancer Res 78:6728-6735
Feng, Mary; Suresh, Krithika; Schipper, Matthew J et al. (2018) Individualized Adaptive Stereotactic Body Radiotherapy for Liver Tumors in Patients at High Risk for Liver Damage: A Phase 2 Clinical Trial. JAMA Oncol 4:40-47
Xiong, Yi; Torsoni, Adriana Souza; Wu, Feihua et al. (2018) Hepatic NF-kB-inducing kinase (NIK) suppresses mouse liver regeneration in acute and chronic liver diseases. Elife 7:
Eisenberg, Marisa C; Campredon, Lora P; Brouwer, Andrew F et al. (2018) Dynamics and Determinants of HPV Infection: The Michigan HPV and Oropharyngeal Cancer (M-HOC) Study. BMJ Open 8:e021618
Namkoong, Sim; Ho, Allison; Woo, Yu Mi et al. (2018) Systematic Characterization of Stress-Induced RNA Granulation. Mol Cell 70:175-187.e8
Thomas, Tina T; Chukkapalli, Sahiti; Van Noord, Raelene A et al. (2018) Utilization of Ultrasound Guided Tissue-directed Cellular Implantation for the Establishment of Biologically Relevant Metastatic Tumor Xenografts. J Vis Exp :
Feinberg, Tamar Y; Zheng, Huarui; Liu, Rui et al. (2018) Divergent Matrix-Remodeling Strategies Distinguish Developmental from Neoplastic Mammary Epithelial Cell Invasion Programs. Dev Cell 47:145-160.e6
Boonstra, Philip S; Barbaro, Ryan P (2018) Incorporating historical models with adaptive Bayesian updates. Biostatistics :
Johnson, Allison M; Roach, James P; Hu, Anna et al. (2018) Connexin 43 gap junctions contribute to brain endothelial barrier hyperpermeability in familial cerebral cavernous malformations type III by modulating tight junction structure. FASEB J 32:2615-2629
Sucularli, Ceren; Thomas, Peedikayil; Kocak, Hande et al. (2018) High-throughput gene expression analysis identifies p53-dependent and -independent pathways contributing to the adrenocortical dysplasia (acd) phenotype. Gene 679:219-231

Showing the most recent 10 out of 1493 publications