Melanoma is a major world health problem with an incidence rate that is rising rapidly. Within the past several years, there has been tremendous progress in novel melanoma therapies ? particularly with regard to immunotherapy as highlighted by the FDA approval of ipilimumab (anti-CTLA-4 antibody) in 2011 and pembrolizumab and nivolumab (anti-PD-1 antibodies) for melanoma in 2014 and 2015. Furthermore, when CTLA-4 and PD-1 blockade are combined, response rates are significantly increased, leading to the FDA approval of this regimen (ipilimumab + nivolumab) in 2015 ? however, toxicity is admittedly high. Despite these advances, there are still a significant proportion of patients who do not achieve clinical response to these agents. Therefore, there is tremendous need to identify biomarkers that may predict response or resistance to immune checkpoint blockade ? either as monotherapy or in combination ? and to identify actionable strategies that will enhance the effectiveness of these potent therapies. Our group has been actively engaged in efforts to better understand responses to immune checkpoint blockade therapies. In these studies, we performed deep immune and molecular profiling in a cohort of patients on immune checkpoint blockade, and recently demonstrated that an immune infiltrate in early on-treatment tumor biopsies is highly predictive of response. However it remains unclear what contributes to enhanced responses, and there is a critical need to identify actionable strategies to improve responses to therapy in all patients. There is a growing appreciation of the role of the gut microbiome in shaping immune responses in health and disease, and pre-clinical evidence that bacteria present within the gut may modulate differential responses to immune checkpoint blockade in melanoma, though this concept has not been studied in patients. This represents a significant knowledge gap, and insights gained could lead to therapeutic strategies to enhance responses to immune checkpoint blockade in melanoma. We have begun to address this knowledge gap in clinical samples from melanoma patients treated with immune checkpoint blockade, and are also studying this in a murine melanoma model. We have preliminary evidence suggesting that differential signatures exist in responders versus non-responders to therapy, and have insight into mechanisms via immune profiling and metabolomic studies. We have also generated data in a murine melanoma model, demonstrating differential tumor growth in C57BL/6 mice with identical genomes but differing gut microbiomes. We will now build on these studies through this proposal to explore the role of the microbiome in shaping anti-tumor immune responses and clinical responses to immune checkpoint blockade in melanoma.

Public Health Relevance

The proposed studies include a comprehensive analysis of fecal samples and tumor biopsies collected in the setting of treatment with immune checkpoint blockade for melanoma. This research is extremely relevant to public health, as it is expected to lead to a better understanding of response and resistance to immune checkpoint blockade with the potential to identify 1) predictive biomarkers for response and resistance within the gut microbiome, 2) relevant mouse models to study these, and 3) actionable strategies to overcome resistance or enhance response. This research is also relevant to the part of the NIH's mission that pertains to the pursuit of fundamental knowledge about the nature and behavior of living systems and application of that knowledge to extend healthy life and reduce the burdens of illness and disability.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
1R01CA219896-01A1
Application #
9517479
Study Section
Special Emphasis Panel (ZCA1)
Program Officer
Daschner, Phillip J
Project Start
2018-09-20
Project End
2023-08-31
Budget Start
2018-09-20
Budget End
2019-08-31
Support Year
1
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of Texas MD Anderson Cancer Center
Department
Surgery
Type
Hospitals
DUNS #
800772139
City
Houston
State
TX
Country
United States
Zip Code
77030