The goal of this subproject is to dissect the complex interacfions between cancer cells and cells of the host microenvironment and model how these diverse interactions contribute to cancer progression and invasion, both in primary tumors and in metastasis. Tumor cells co-opt their local environment through secrefion of stimulating growth factors and cytokines, recruiting stromal cells to the tumor site and promoting growth of new blood vessels. In turn, the locally activated host microenvironment provides growth factors and matrixdegrading enzymes to modify the proliferafion and invasion of the tumor cells. Currently, our understanding of the complex and reciprocal interplay between the tumor and host cells is limited, particularly with regard to the diversity of metastatic tissue microenvironments that can be colonized by cancer cells.
We aim to address this significant knowledge gap by combining innovative experimental and computafional approaches that ulfimately should revolufionize our understanding and treatment of primary cancers and metastases.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA148967-03
Application #
8377735
Study Section
Special Emphasis Panel (ZCA1-SRLB-C)
Project Start
Project End
Budget Start
2012-03-01
Budget End
2013-02-28
Support Year
3
Fiscal Year
2012
Total Cost
$599,722
Indirect Cost
$259,985
Name
Sloan-Kettering Institute for Cancer Research
Department
Type
DUNS #
064931884
City
New York
State
NY
Country
United States
Zip Code
10065
Carmona-Fontaine, Carlos; Deforet, Maxime; Akkari, Leila et al. (2017) Metabolic origins of spatial organization in the tumor microenvironment. Proc Natl Acad Sci U S A 114:2934-2939
Jena, Prakrit V; Roxbury, Daniel; Galassi, Thomas V et al. (2017) A Carbon Nanotube Optical Reporter Maps Endolysosomal Lipid Flux. ACS Nano 11:10689-10703
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Voisinne, Guillaume; Nixon, Briana G; Melbinger, Anna et al. (2015) T Cells Integrate Local and Global Cues to Discriminate between Structurally Similar Antigens. Cell Rep 11:1208-19

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