PROJECT 3: Tools for Capturing Immune Cell/Cancer Cell Interactions in Cancer Immunotherapies and Combination Immunotherapies. ABSTRACT: Cancer Immunotherapy was Science Breakthrough of the Year 2013[1], with tremendous promise and excitement surrounding two immunotherapy classes. Class 1 is comprised of immune checkpoint inhibitors[2, 3], such as for Programmed Death (PD)-1/L1 blockade. These drugs can increase the susceptibility of cancer cells to immune system attack. The clinical testing of PD-1/L1 blockade in multiple cancers, but led by work in melanoma[4], has demonstrated a new era in cancer treatment[5, 6]. Therapy Class 2 is Adoptive Cell Transfer (ACT)[7, 8], which seeks to strengthen the anti-tumor immune system function. Technologies to support these cancer immunotherapies have been an NSBCC theme [9-13], and our immune monitoring tools are used in several trials and patient studies. Recent immunotherapy successes have raised patient expectations. We propose technologies to advance the science to bring this promise to more patients. We will interrogate how tumor models and patients with cancer respond or become resistant to single and combination immunotherapies, with anticipated implications for all cancer patients receiving immunotherapies. We focus on measuring, in vivo and in vitro, the interactions between the cancer cells and tumor infiltrating lymphocytes (TILs). Such interactions can yield tumor cell killing, but can also promote the activation of tumor cell resistance to such killing. This theme is central for improving both ACT and checkpoint inhibitor therapies.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA199090-05
Application #
9536767
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2018-08-01
Budget End
2019-07-31
Support Year
5
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Institute for Systems Biology
Department
Type
DUNS #
135646524
City
Seattle
State
WA
Country
United States
Zip Code
98109
Sibener, Leah V; Fernandes, Ricardo A; Kolawole, Elizabeth M et al. (2018) Isolation of a Structural Mechanism for Uncoupling T Cell Receptor Signaling from Peptide-MHC Binding. Cell 174:672-687.e27
Xu, Alexander M; Liu, Qianhe; Takata, Kaitlyn L et al. (2018) Integrated measurement of intracellular proteins and transcripts in single cells. Lab Chip 18:3251-3262
Mai, Wilson X; Gosa, Laura; Daniels, Veerle W et al. (2017) Cytoplasmic p53 couples oncogene-driven glucose metabolism to apoptosis and is a therapeutic target in glioblastoma. Nat Med 23:1342-1351
Su, Yapeng; Shi, Qihui; Wei, Wei (2017) Single cell proteomics in biomedicine: High-dimensional data acquisition, visualization, and analysis. Proteomics 17:
Tang, Yin; Wang, Zhuo; Li, Ziming et al. (2017) High-throughput screening of rare metabolically active tumor cells in pleural effusion and peripheral blood of lung cancer patients. Proc Natl Acad Sci U S A 114:2544-2549
Su, Yapeng; Wei, Wei; Robert, Lidia et al. (2017) Single-cell analysis resolves the cell state transition and signaling dynamics associated with melanoma drug-induced resistance. Proc Natl Acad Sci U S A 114:13679-13684
Lu, Yao; Yang, Liu; Wei, Wei et al. (2017) Microchip-based single-cell functional proteomics for biomedical applications. Lab Chip 17:1250-1263
Mukherjee, Arnab; Davis, Hunter C; Ramesh, Pradeep et al. (2017) Biomolecular MRI reporters: Evolution of new mechanisms. Prog Nucl Magn Reson Spectrosc 102-103:32-42
Mukherjee, Arnab; Wu, Di; Davis, Hunter C et al. (2016) Non-invasive imaging using reporter genes altering cellular water permeability. Nat Commun 7:13891
Zaretsky, Jesse M; Garcia-Diaz, Angel; Shin, Daniel S et al. (2016) Mutations Associated with Acquired Resistance to PD-1 Blockade in Melanoma. N Engl J Med 375:819-29

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