UWCCC Tumor Microenvironment (TM) Program Summary Co-Leaders: Patricia Keely and David Beebe PROJECT SUMMARY/ABSTRACT Tumors are complex systems composed of tumor cells, stromal cells, soluble factors, and the extracellular matrix (ECM); together, these components constitute the tumor microenvironment. While cancer research has focused historically on studying and treating the tumor cell, it is now clear that the other components of the tumor microenvironment are active participants in tumor progression. For example, growth factors secreted by tumor cells attract immune cells into the tumor microenvironment; these immune cells in turn provide cytokines and other factors that stimulate stromal cell deposition and remodeling of ECM, which feedback to influence tumor cell behavior. Although the tumor microenvironment is undoubtedly important in the progression of several types of cancer, therapeutic approaches targeted against the microenvironment remain rare, in part, because knowledge in this area is insufficient. Therefore, it is the mission of the Tumor Microenvironment (TM) Program to identify microenvironmental changes that occur during tumorigenesis and analyze how the interactions between the tumor cell and microenvironmental components affect tumor formation, growth, progression, and ultimately metastasis. To accomplish these goals, the TM program fosters collaborations between its 32 members from 17 departments - basic scientists, clinicians, and bioengineers who specialize in the development of systems that mimic the in vivo environment and computational modeling of systems-level behaviors. TM program research is organized into three thematic areas: 1) Extracellular Matrix, 2) Engineering Approaches, and 3) Immune Interactions. Program members were supported by $3.0 million direct costs in NCI-funding and $10.6 million direct costs in total peer-reviewed cancer-related support, and were highly productive with 494 publications during the course of the last grant. Of these publications, 13% were intra- programmatic collaborations and 24% were inter-programmatic collaborations. In the year 2016 alone, nearly 50% of publications were collaborative with other institutions. Through these research efforts, members of the TM program are identifying new biomarkers and therapeutic approaches.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA014520-45
Application #
9706772
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
Project End
Budget Start
2019-04-01
Budget End
2020-03-31
Support Year
45
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of Wisconsin Madison
Department
Type
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715
Rutter, Carolyn M; Kim, Jane J; Meester, Reinier G S et al. (2018) Effect of Time to Diagnostic Testing for Breast, Cervical, and Colorectal Cancer Screening Abnormalities on Screening Efficacy: A Modeling Study. Cancer Epidemiol Biomarkers Prev 27:158-164
Jadvar, Hossein; Chen, Xiaoyuan; Cai, Weibo et al. (2018) Radiotheranostics in Cancer Diagnosis and Management. Radiology 286:388-400
Denu, Ryan A; Shabbir, Maria; Nihal, Minakshi et al. (2018) Centriole Overduplication is the Predominant Mechanism Leading to Centrosome Amplification in Melanoma. Mol Cancer Res 16:517-527
England, Christopher G; Jiang, Dawei; Ehlerding, Emily B et al. (2018) 89Zr-labeled nivolumab for imaging of T-cell infiltration in a humanized murine model of lung cancer. Eur J Nucl Med Mol Imaging 45:110-120
Ong, Irene M; Gonzalez, Jose G; McIlwain, Sean J et al. (2018) Gut microbiome populations are associated with structure-specific changes in white matter architecture. Transl Psychiatry 8:6
Trentham-Dietz, Amy; Ergun, Mehmet Ali; Alagoz, Oguzhan et al. (2018) Comparative effectiveness of incorporating a hypothetical DCIS prognostic marker into breast cancer screening. Breast Cancer Res Treat 168:229-239
Weiss, Jennifer M; Pandhi, Nancy; Kraft, Sally et al. (2018) Primary care colorectal cancer screening correlates with breast cancer screening: implications for colorectal cancer screening improvement interventions. Clin Transl Gastroenterol 9:148
Bruce, Jordan G; Tucholka, Jennifer L; Steffens, Nicole M et al. (2018) Feasibility of Providing Web-Based Information to Breast Cancer Patients Prior to a Surgical Consult. J Cancer Educ 33:1069-1074
Huynh, Mailee; Pak, Chorom; Markovina, Stephanie et al. (2018) Hyaluronan and proteoglycan link protein 1 (HAPLN1) activates bortezomib-resistant NF-?B activity and increases drug resistance in multiple myeloma. J Biol Chem 293:2452-2465
Wu, Yirong; Fan, Jun; Peissig, Peggy et al. (2018) Quantifying predictive capability of electronic health records for the most harmful breast cancer. Proc SPIE Int Soc Opt Eng 10577:

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