Most cancer patients treated with molecular-directed therapies have short-lived or incomplete responses. While responses to novel immunotherapies breaking tolerance to tumor antigens are promising, only a minority of patients respond to this therapies. Therefore, combination therapies will be required, both among targeted small molecules and between immunotherapies and small molecule inhibitors, but it is not clear how to prioritize testing these combinations, particularly as some targeted inhibitors can antagonize immune system effector functions. Established cancer cell lines are known to be limited in their ability to predict patient responses and cannot on their own model non- autonomous interactions with the immune system. We have validated an ex vivo culture system of patient tumors within days from biopsy that captures functional information complimentary to molecular analysis. Importantly, this system evaluates non- autonomous effects in both tumor and stromal populations, including tumor-infiltrating lymphocytes (TILs). Here, we propose use this technology to discover novel combinations of targeted agents for melanoma therapy in patient samples and to model interactions between small molecules and immunotherapy on tumor cell antigen expression and TIL effector functions. Lastly, we will explore the clinical validity of thi technology as a diagnostic assay to predict response of BRAF-mutant melanoma to BRAF inhibitors. Therefore, we propose the following specific aims:

Public Health Relevance

Combinations of new targeted therapies killing tumor cells and immune-system enhancers are extremely promising for improving cancer patient survival, but which drugs should be combined and whether they improve or impair immunotherapies is unclear, especially as traditional cell culture models are limited in their predictive ability. We have developed a test for effects of drug combinations on fresh patient biopsies, and propose identifying new combinations using this assay and molecular biomarkers which can predict response to those combinations, in addition to identifying combinations which might enhance immune system recognition of the tumor. We anticipate that this new system for drug discovery will lead more quickly to effective combination therapies in melanoma patients.

Agency
National Institute of Health (NIH)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21CA175907-02
Application #
8744268
Study Section
Special Emphasis Panel (ZCA1)
Program Officer
Thurin, Magdalena
Project Start
Project End
Budget Start
Budget End
Support Year
2
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
City
Boston
State
MA
Country
United States
Zip Code
02199
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Chen, Hongxiang; Weng, Qing Y; Fisher, David E (2014) UV signaling pathways within the skin. J Invest Dermatol 134:2080-5