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ALK rearrangements define a distinct molecular subset of NSCLC and confer sensitivity to treatment with ALK tyrosine kinase inhibitors (TKIs). These agents have produced dramatic improvements in clinical outcomes among ALK-rearranged (ALK+) patients, yet acquired resistance remains a major challenge. Thus, there is an urgent need for alternative therapeutic approaches for this disease. Recently, immune checkpoint inhibitors targeting negative regulators of the immune response (e.g., PD-1/PD-L1) have emerged as powerful new therapies in NSCLC. In preliminary analyses, we and others have observed that ALK+ lung cancers are generally less responsive to immune checkpoint inhibitors. We hypothesize that distinct immune-based strategies may therefore be needed for ALK+ lung cancers. To inform these strategies, we will investigate 1) tumor-intrinsic factors associated with immunogenicity in ALK+ tumors (e.g., neoantigens, tumor mutation burden), 2) tumor-immune cell interactions (e.g., PD-L1 expression, alternative checkpoint expression, antigen presentation), and 3) endogenous T cell responses against ALK in the peripheral blood. Together, these studies may lay the groundwork for development of biomarkers informing optimal delivery of PD-(L)1 therapy in ALK+ lung cancers, while also promoting the development of novel combinations and approaches, including autologous cellular therapies directed against ALK.

Several ALK tyrosine kinase inhibitors (TKIs) are available for the treatment of ALK-rearranged non-small cell lung cancer (NSCLC), but resistance to all ALK TKIs (including crizotinib, ceritinib, alectinib, brigatinib, and lorlatinib) has been reported and occurs through a variety of mechanisms. Once patients develop resistance to available ALK inhibitors, they are typically treated with cytotoxic chemotherapy rather than immunotherapy since response rates to PD-1 pathway inhibitors in this population are very low. However, our work in mouse models of ALK-positive NSCLC has demonstrated that a vaccine generated against the rearranged portion of ALK can both prevent the development of ALK-positive tumors and also more effectively treat them once they arise. In addition, we have recently found evidence of an anti-ALK immune response in patients, as a subset of them generate spontaneous ALK autoantibodies.

To more deeply characterize anti-ALK immunologic responses in patients, we propose (Aim 1) to determine if the presence of anti-ALK antibodies correlates with progression-free and overall survival among patients with ALK-positive NSCLC, and (Aim 2) to directly identify and validate antigenic ALK peptides in different HLA-haplotype backgrounds. Antigenic peptides that are identified through these studies will serve as the basis for a therapeutic ALK peptide vaccine clinical trial, for which funding has been secured independently.

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.

Background: Osimertinib and other “third-generation” EGFR TKIs effectively overcome T790M-mediated resistance in EGFR-mutant lung cancer, but our understanding of acquired resistance in this setting remains limited. Importantly, the intrinsic heterogeneity of resistant cancers leads to clinical challenges. We hypothesize that in-depth study of 3rd-generation TKI resistance and the impact of genetic heterogeneity on treatment response will lead to improved therapeutic options and clinical outcomes. Study Design: We will analyze tumor biopsies, ctDNA and autopsy specimens using a variety of techniques such as next-generation sequencing, digital droplet PCR and whole exome sequencing to characterize heterogeneity in resistant cancers. In addition, we will run a prospective clinical trial to test a novel therapeutic combination designed to minimize heterogeneity and delay progression. On-treatment biopsies and ctDNA collection will be used to study how resistance develops. Impact: This project will leverage our broad array of clinical specimens, well-established translational research program and preexisting industry and academic collaborations to characterize the heterogeneity of resistance in EGFR-mutant lung cancer. We hope to illuminate clinical and biologic implications of heterogeneity, with the ultimate goal of identifying more effective therapies for patients.

Inadequate biopsy yield is a significant limitation to early lung cancer diagnosis and is a two-pronged problem: (1) Early-stage lung cancers are not adequately targeted during biopsy due to their small size and (2) even if a nodule is adequately targeted, often there is insufficient tumor in the biopsy to make a definitive diagnosis and/or accomplish all diagnostic testing for patient care. Optical coherence tomography (OCT) is a high-resolution imaging modality that provides virtual visualization of tissue volumes orders of magnitude larger than biopsy without tissue removal. Dr. Hariri’s group has developed OCT catheters compatible with standard bronchoscopes and demonstrated that OCT can identify lung nodules and assess pathologic features of lung cancer with high sensitivity/specificity. This project’s aims are to dramatically improve diagnostic capability in lung cancer using large volume OCT to provide (1) virtual intra-procedural evaluation in real-time (VIPER) of biopsy site location and 2) large volume virtual optical biopsy for subsequent pathology diagnosis as a complement to tissue biopsy. In Aim 1, they will assess if in vivo OCT VIPER biopsy assessment increases tumor yield on bronchoscopic biopsy in a powered, blinded clinical study. In Aim 2, they will use the data obtained in Aim 1 to determine the diagnostic accuracy of large volume OCT optical biopsy with tissue biopsy as compared to tissue biopsy alone. This project will result in clinical translation of a powerful, robust new optical bronchoscopy tool that could reduce unnecessary diagnostic procedures, eliminate delayed diagnoses, provide earlier intervention, and improve patient morbidity/mortality.

One of the challenges for early detection and prevention of lung squamous cell carcinoma is the lack of understanding of the molecular and cellular changes that cause initiation and progression of this disease. Airway premalignant lesions are the precursors of lung squamous cell carcinoma and can be detected and monitored by autofluorescence bronchoscopy. However, many of these lesions will regress without clinical intervention, and only a subset will progress to invasive carcinoma. The goal of this study is to characterize the landscape of somatic mutations in airway premalignant lesions and to develop an early detection biomarker using targeted DNA sequencing that can predict risk of lesion progression. Ultra-deep whole-exome sequencing will be performed on a previously collected cohort of airway premalignant lesions from high-risk smokers that have been sampled over time, characterized histologically, and classified into those that are stable, regress, or progress. Significantly mutated genes, recurrent copy number changes, and mutational signatures will be identified, and a determination will be made whether they are associated with lesion histology or progression or regression status. Finally, the findings from this study will be combined with the driver genes from The Cancer Genome Atlas (TCGA) to build a targeted DNA sequencing panel. This panel will serve as a rapid and relatively inexpensive method for monitoring premalignant lesions from patients over time and can be used in a clinical trial to assess the ability of autofluorescence bronchoscopy in combination with molecular profiling to stratify patients and serve as a companion diagnostic in chemoprevention trials.