The major goal of this project is to develop and exploit tractable, preclinical mouse models of metastatic melanoma that recapitulate the clinical progression of surgical removal of primary tumors, treatment with adjuvant/neoadjuvant therapy and clinical recurrence at distant sites. We see a translational opportunity to devise a novel strategy to prevent the clinical recurrence of metastatic disease. The models are being designed to incorporate normal immune system function to maintain an appropriate tumor microenvironment and provide superior tumor-host interactions, an approach that is significantly more likely to yield biologically and clinically relevant data; our focus will be on immunotherapy, which cannot be studied in human PDXs at this point. Since metastasis often targets internal organs and the timing of its recurrence may vary greatly, the preclinical model will allow for the non-invasive, long-term monitoring of disease progression within the immunocompetent mouse. To meet these criteria, we have optically labeled melanoma tissue that was never adapted to cell culture and labeled using a high-titer lentivirus encoding a luciferase/GFP fusion reporter protein, developed by this laboratory in collaboration with Dom Esposito at the Protein Expression Laboratory, Advanced Technology Program (Day et al., Pig Cell Melanoma Res 22:283-295, 2009). However, we have noted that even low expression of the xenobiotic reporters GFP and/or luciferase can render growth of labeled metastatic tumors unpredictable in syngeneic mice and severely limit the utility of any immunocompetent preclinical model. We have therefore developed transgenic mice in both FVB/N and C57BL/6 backgrounds that express the Luc/GFP fusion gene at an irrelevant site (in this case the anterior pituitary through use of a rat growth hormone promoter) (Day et al., PLoS One. 2014 Nov 4;9(11):e109956). These glowing head mice are thus pre-tolerized to both foreign markers, and we note that clearly labeled metastatic lesions arise much more regularly, consistently, and with a stronger signal in the lungs of inoculated, resected host mice. These mice are currently being employed in our ever-improving preclinical models (Day et al., PLoS One, 2014). The glowing head mice have already been sent to multiple investigators and are now being distributed by Jackson Laboratories. The primary goal now is to combine all the tools and reagents we have developed over the last few years to study the mechanisms by which various melanoma subtypes recur at metastatic sites when patients fail targeted and immunotherapeutic drug treatment. This extensive preclinical effort is being performed in full collaboration with Dr. Shyam Sharan and CAPR, and in collaboration with Drs. Nick Restifo (CCR), Marcus Bosenberg (Yale), Martin McMahon (UCSF), Jedd Wolchok (MSKCC) and Jennifer Wargo (MD Anderson). We have already developed a wildtype BRAF/NRAS/NF1 metastatic melanoma model (so called triple negative) using our UV-initiated HGF transgenic mouse. Metastatic BRAF mutant melanomas have now been generated and are being fully characterized and incorporated into our studies. Preclinical trials with immune checkpoint inhibitors will be the focus of our work, and studies using both anti-CTLA-4 and, in collaboration with MedImmune, anti-PD-L1) are already underway and providing novel insights into why some melanomas but not others respond to immune checkpoint inhibitors. We have written a PRIMER for Cell that reviews optimal use of preclinical cancer models (Day, Merlino, Van Dyke, CELL, 2015). The responses in our various melanoma models to anti-CTLA-4 and anti-PD-L1 seem appropriate to their clinical counterparts. We have new data suggesting that neoantigens generated by UV exposure and other sources may be associated with the responses of melanoma tumors to immune checkpoint inhibitors. A number of approaches, including in vivo screens and computational assessment are underway to identify the neoantigens that are responsible. We are also intently searching for genes whose gain or loss of function might be associated with drug response or recurrence.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Investigator-Initiated Intramural Research Projects (ZIA)
Project #
1ZIABC011167-09
Application #
9556480
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
9
Fiscal Year
2017
Total Cost
Indirect Cost
Name
Basic Sciences
Department
Type
DUNS #
City
State
Country
Zip Code
Hernandez, Belen; Adissu, Hibret A; Wei, Bih-Rong et al. (2018) Naturally Occurring Canine Melanoma as a Predictive Comparative Oncology Model for Human Mucosal and Other Triple Wild-Type Melanomas. Int J Mol Sci 19:
Tarasen, Ashley; Carlson, J Andrew; Leonard, M Kathryn et al. (2017) Pigmented Epithelioid Melanocytoma (PEM)/Animal Type Melanoma (ATM): Quest for an Origin. Report of One Unusual Case Indicating Follicular Origin and Another Arising in an Intradermal Nevus. Int J Mol Sci 18:
Patel, Shashank J; Sanjana, Neville E; Kishton, Rigel J et al. (2017) Identification of essential genes for cancer immunotherapy. Nature 548:537-542
Day, Chi-Ping; Marchalik, Rachel; Merlino, Glenn et al. (2017) Mouse models of UV-induced melanoma: genetics, pathology, and clinical relevance. Lab Invest 97:698-705
Pérez-Guijarro, Eva; Merlino, Glenn (2017) Lymphangiogenesis: From passive disseminator to dynamic metastatic enabler. Pigment Cell Melanoma Res 30:509-510
Pérez-Guijarro, Eva; Day, Chi-Ping; Merlino, Glenn et al. (2017) Genetically engineered mouse models of melanoma. Cancer 123:2089-2103
Merlino, Glenn; Herlyn, Meenhard; Fisher, David E et al. (2016) The state of melanoma: challenges and opportunities. Pigment Cell Melanoma Res 29:404-16
Wei, Bih-Rong; Michael, Helen T; Halsey, Charles H C et al. (2016) Synergistic targeted inhibition of MEK and dual PI3K/mTOR diminishes viability and inhibits tumor growth of canine melanoma underscoring its utility as a preclinical model for human mucosal melanoma. Pigment Cell Melanoma Res :
Thomas, Renee M; Van Dyke, Terry; Merlino, Glenn et al. (2016) Concepts in Cancer Modeling: A Brief History. Cancer Res 76:5921-5925
Day, Chi-Ping; Merlino, Glenn; Van Dyke, Terry (2015) Preclinical mouse cancer models: a maze of opportunities and challenges. Cell 163:39-53

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