Metastatic

Statement of the Problem: Cancer develops in a sequenced manner. Patches of lung cells gain the ability to multiply faster than their neighboring normal cells by acquiring mutations. These patches of cells are called “premalignant lesions" (PMLs). Some of these lesions may eventually become cancer. Knowledge about how some PMLs may develop into lung cancer is central to developing tools for Cancer Interception—interrupting the cancer development process and blocking progression to advanced metastatic disease. However, we lack effective lung cancer interception approaches due to our incomplete understanding of the earliest molecular events associated with the development of lung cancer, as well as the challenge in developing personalized tools for early detection and prevention.

Proposed Solution: The Dream Team will use a holistic approach to understand the genetics, immunology, radiological (imaging) profile, and treatment response of patients who show evidence of abnormal lung tissue that puts them at high risk to develop lung cancer. The Team has access to unique groups of patient populations (adenocarcinoma—ADC and squamous cell carcinoma—SCC) with signs of lung cancer risk, and has assembled a collection of blood and tissue specimens from these individuals. The main objective of the Team is to understand how lung cancer develops and test methods that will block the development of cancer. Their three-pronged approach to solve this problem will include:

• Creation of a molecular pre-cancer genome atlas (PCGA) of the lung with the goal of identifying which types of precancerous lung tissue require aggressive treatment and which treatments will block the development of these abnormal lesions to invasive lung cancer.
• Development of two diagnostic tools that can be directly applied in the clinic for simple, yet accurate, detection of early lung cancer: 1) the use of nasal swabs, blood tests, and imaging to confirm whether lung abnormalities found on chest imaging are lung cancer or benign lung disease. 2) blood tests that can identify patients at the earliest stages of lung cancer recurrence, thus enabling their timely and effective intervention with therapies such as those that boost the immune system.
• Development of tests to identify which individuals are most likely to benefit from a number of treatment strategies to intercept lung cancer, including emerging immunotherapies.

Statement of the Problem: Currently, low dose CT (LDCT) screening for lung cancer is recommended for high-risk individuals, defined as current or former smokers (quit within the past 15 years) with a 30-or-more pack-year smoking history, 55 to 74 years of age, and with no evidence of lung cancer. However, uptake of LDCT screening has been impeded by high rates of false-positive results, which in turn add significant physical and emotional stress to patients as well as additional healthcare costs. Since LDCT is now commonly available, lung nodules detected in LDCT scans are plentiful, but imprecise guidelines for care make it a challenge to ensure quality follow-up and expedited diagnoses for those with lung cancer. Furthermore, screening is not available for those who don’t meet the screening criteria (younger age or low smoking history) when they are the exact population among whom lung cancer rates are rising.

Proposed Solution: Leveraging expertise of academic research centers (Massachusetts General Hospital, Broad Institute, and Stanford University) and a non-profit managed-care consortium (Kaiser Permanente), the Dream Team will develop a test called the Lung Cancer Interception Assay (LCIA) to complement LDCT screening.

The proposal is novel in that it will develop complex computational algorithms to combine high-sensitivity/high-accuracy blood-based molecular biomarkers with image-based biomarkers to create the  LCIA assay. At the end of the award period, a streamlined product, the LCIA, will be ready to use in population-level definitive trials for the early detection of lung cancer.

Side effects of immune checkpoint therapies, termed immune-related adverse effects (irAEs), are unique and generally secondary to inflammatory tissue damage. The onset and duration of irAEs are unpredictable and predisposing factors for individuals to develop irAEs remains unclear. Some irAEs that emerge with immune checkpoint blockade share clinical features of autoimmune conditions. Preexisting auto-reactive antibodies and their contribution to immune side effects with immunotherapy and radiation have not been defined. This maybe particularly relevant to immune related adverse effects, since recent studies suggest almost 8-9% of the US population carries autoimmune diseases and 26% of healthy individuals have strong IgG humoral responses to variety of self-antigens. For the proposed study, we will use a set of longitudinally collected patient blood samples from a clinical trial which evaluates the clinical activity of combination immune checkpoint inhibitor therapy, nivolumab and ipilimumab with or without local consolidative therapy (stereotactic body irradiation) 

We plan to follow preexisting auto-reactive antibodies, baseline T and B cell receptor clonality and their temporal dynamics for combination immune checkpoint therapy with or without radiation therapy and correlate these findings with irAEs and response to therapy.    

Melanoma has the highest propensity to metastasize to the brain once the disease has spread, while non-small cell lung cancer (NSCLC) has the highest incidence of brain metastases among all cancers. Approximately 50,000 patients develop brain metastases from these diseases every year. Patients with brain metastases have exceedingly limited therapeutic options since they are typically excluded from clinical trials. Recently a number of new systemic immune therapies, such as nivolumab (BMS-936558) and lambrolizumab (MK-3475), two inhibitors of PD-1 (an immune inhibitory molecule), have led to dramatic responses in metastatic melanoma (MM) and NSCLC. However, these therapies have not been studied in patients with untreated brain metastases.  Little is known about immune cells in the brain, and whether the immune system can be stimulated to reject cancer cells. Moreover, little is known about what tumor characteristics are associated with response to MK-3475 in brain metastases. This proposal includes innovative correlative biomarker studies incorporated into a clinical trial uniquely designed to study the activity of MK-3475 in patients with limited, small brain metastases in MM and NSCLC. This drug carries the hope to provide prolonged responses similar to responses seen in other metastatic sites, and might enable patients to avoid radiation therapy, and improve their outcome. As part of this clinical trial, we will collect brain and other metastatic specimens from patients enrolled and study the expression of immune inhibitory molecules utilizing a novel quantitative assay and algorithms that we have developed in preliminary work. These studies will facilitate selection of patients who are more likely to respond to this class of drugs.

Advanced (stage IV) lung adenocarcinoma is an incurable disease. Treatment mostly consists of chemotherapy, which provides a consistent but small survival benefit. Standard therapy includes a platinum-doublet (pemetrexed or paclitaxel) often in combination with bevacizumab, followed by maintenance bevacizumab or pemetrexed. Programmed death 1 (PD-1) is a T-cell surface receptor that when activated, delivers a negative signal to T cells. This feedback mechanism dampens immune responses when no longer needed, preventing damaging autoimmune reactions. Tumors can co-opt this T-cell control mechanism to escape surveillance and/or rejection by the immune system. Thus, reversing this tumor action can result in antitumor activity worthy of clinical evaluation. Recently it has been demonstrated that inhibition of the PD-1 receptor with an anti-PD-1 monoclonal antibody (nivolumab) has significant clinical activity in lung cancer with an ORR of 26%. As remarkable as this may be, given the heavily pretreated population of lung cancer patients studied, this also indicates that 74% of patients did not respond and remained resistant to this approach. Therefore, going forward it is important to develop combination therapies to improve the efficacy of this approach, and to discover resistance mechanisms that may allow for better patient (and tumor) selection. One potential class of agents to be used in combination with anti-PD-1 is the adenosine A2AR antagonists. Given that A2AR on T cells within the tumor microenvironment contributes to immune escape and therapeutic resistance, the addition of PBF-509 is expected to improve the efficacy of nivolumab.