Stage III

The majority of lung cancer patients present with advanced disease that is largely incurable. Efforts to improve the early detection of this disease are critical to decrease lung cancer-related mortality. Low-dose computed tomography (CT) screening in high risk patients has demonstrated reduction in lung cancer related mortality through diagnosis of earlier stage disease at the cost of high false-positive rates and the frequent need for invasive diagnostic testing when indeterminate lung nodules are identified. Detecting tumor specific somatic mutations and/or epigenetic signatures in circulating tumor DNA (ctDNA) represents an attractive non-invasive method for identifying early stage lung cancer. However, to realize this promise for lung cancer screening, where ctDNA from small tumors is miniscule, the development of sensitive, specific, and economical ctDNA based assays is critical. 
The bacterial innate immune system consisting of clustered regularly interspaced short palindromic repeats (CRISPR) and their associated endonucleases (CRISPR-Cas) are specifically adapted to recognize foreign nucleic acids. The recent identification and diagnostic adaptation of certain classes of CRISPR-Cas systems, such as CRISPR-Cas12a and -Cas13a, offer unique platforms on which to develop sensitive, specific, and economical assays for the detection of ctDNA. The goal of the current project is to develop CRISPR-Cas12a and -Cas13a based ctDNA assays that can sensitively detect somatic cancer mutations and aberrant promoter hypermethylation often found in lung cancer patients and to validate these assays in plasma samples of patients with early stage NSCLC and in discriminating between benign and malignant nodules identified by low-dose CT screening studies. 

This project describes a 3-year training program for a career as a physician-scientist with the long term goal of establishing a research program within the field of translational thoracic oncology. The applicant is currently an Instructor of Medicine in the Section of Interventional Pulmonology and Thoracic oncology conducting research in developing biomarkers for the treatment selection and monitoring of patients with lung cancer. The research focus of this proposal is to develop molecular markers to better identify the subgroup of patients that will respond to PD1/PDL1 therapies in order to avoid unnecessary toxicities, reduce costs, and enable more appropriate therapies to be delivered. This goal will be accomplished in two complementary specific aims. In Specific Aim 1, a novel approach to acquire fresh tissue samples for immunophenotyping will be utilized to prospectively determine the ability of deep T cell phenotyping and functional assays to predict response to anti-PD1/PDL1 therapy using multi-parametric flow cytometry. In Specific Aim 2, a newly developed technique that enables the quantitative measurement of circulating PDL1 exosomes will be utilized to determine the association of pretreatment and on-treatment exosomal PDL1 expression levels to predict clinical outcomes in non-small cell lung cancer patients receiving checkpoint blockade. The training component of this proposal includes formal coursework, participation in a rich environment of post-doctoral lectures in thoracic oncology/tumor immunology, acquisition of advanced laboratory techniques, and individual mentoring. This project will take place under the supervision of Dr. Steven Albelda who is the Director of the Thoracic Oncology Laboratory at the University of Pennsylvania and Co-Director of the Abramson Cancer Center’s Translational Center of Excellence for Lung Cancer Immunobiology, and Dr. Anil Vachani who is the Director of Clinical Research for the Section of Interventional Pulmonology and Thoracic Oncology at Penn. Dr. Albelda and Dr. Vachani have mentored over 100 trainees. In addition, an advisory committee of distinguished scientists will provide experimental assistance, intellectual guidance, and career advice throughout the duration of this award.

Immune checkpoint blockade (ICB) has demonstrated profound effects on the anti-tumor immune response and has revolutionized the treatment landscape of non-small cell lung cancer (NSCLC). While chemotherapy has traditionally been viewed as detrimental to the immune system, recent clinical trials have demonstrated an impressive survival benefit when combining checkpoint blockade with chemotherapy (ICB+chemo) relative to chemotherapy alone. Despite this, many NSCLC patients do not achieve clinical benefit from ICB, even when combined with chemotherapy. The role of tumor mutational burden, and specifically T cells targeting neoantigens derived from these mutations, has been demonstrated in several ICB studies, however these factors have yet to be fully explored in chemotherapy-containing ICB treatment regimens. There is thus an urgent need to understand the effects of ICB+chemo on the anti-tumor immune response and to specifically evaluate how chemotherapy perturbs the phenotype and function of anti-tumor T cells. It is of paramount importance that we understand how PD-1 blockade and chemotherapy synergize to promote anti-tumor immunity in order to better stratify patients most likely to benefit from these treatments. We propose herein to perform the first comprehensive evaluation of the phenotype and function of neoantigen-specific T cells and their dynamics before and after treatment with ICB+chemo relative to ICB alone. The findings from this study will provide a detailed atlas of the immune system dynamics following treatment and will result in the development of an immunometabolic signature that will be correlated with clinical outcome. Importantly, the results of the proposed work will deepen our understanding of the immune response to ICB+chemo and will unravel the mechanisms underlying clinical response in NSCLC patients.

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.

An estimated 160,000 patients die each year from non-small cell lung cancer (NSCLC), primarily due to the development of metastatic and treatment-refractory disease. Dr. Byers, Dr. Gibbons, and their group have previously demonstrated that the epithelial-mesenchymal transition (EMT) is a unifying mechanism that drives tumor progression, metastasis, resistance to standard therapies, and immune suppression. Furthermore, their group and others have shown that the receptor tyrosine kinase Axl and PD-L1 are overexpressed on tumor cells in the setting of EMT in NSCLC and that targeting either Axl or PD-L1 results in preclinical efficacy in lung cancer models.

Based on these results, they have initiated the first clinical trials of BGB324 (a first-in-class, selective Axl inhibitor) for lung cancer patients in combination with either erlotinib or chemotherapy. They hypothesize that Axl is a driver of EMT and EMT-associated immune escape. Therefore, in this project they will use pre-clinical cell line and animal models to determine the role of Axl in driving EMT, identify predictive markers of response to Axl inhibition, and investigate the efficacy of combination therapy with an Axl inhibitor and an immune checkpoint inhibitor, anti-PD-L1. The biomarkers identified in their preclinical models will be directly tested in fresh tumor biopsies from their Phase 1/2 clinical trial that combines erlotinib with BGB324.

Although NSCLC is a molecularly heterogeneous disease, EMT is a potential universal mechanism of progression and drug resistance across many molecular subtypes. It is their goal to leverage this finding to develop single agent or combination treatment strategies that can be used across the molecular spectrum.

The most effective curative modality we have for lung cancer is still surgery, but, even with optimum surgery, many patients relapse and die of their lung cancer, and this fraction is improved only slightly by adjuvant chemotherapy, which is nonetheless toxic for everybody. Thus, we need to identify prognostic biomarkers (to define which patients are likely to relapse after surgery) and predictive biomarkers (to define who will benefit from adjuvant therapy, and what specific type of adjuvant therapy should be used on each particular patient). In this proposal, collaborators from two different lung cancer SPOREs in three different universities will use two sets of high information-content analyses of protein and RNA expression already acquired on a cohort of early-stage lung cancer patients who did not receive adjuvant chemotherapy and in a panel of cell lines rigorously characterized for sensitivity to platinum doublets, and will add to that data funded by this proposal on a new cohort of patients treated with adjuvant chemotherapy to generate our classifier. This classifier will then be reduced to a small number of RNA or protein assays and tested in a larger set of resected patients with and without adjuvant chemotherapy.

Lung cancer is the leading cause of death for men and women in the United States. Screening methods for the early detection of lung cancer must be developed to circumvent the phenomenon that sees the majority of patients being diagnosed with advanced, and thus incurable, lung cancer. While computerized tomography was demonstrated to reduce mortality by 20% in a high-risk smoker patient cohort, further examination of this method, complementary screening methods, and tools to screen less at-risk populations are needed to make the detection of early-stage lung cancer most beneficial. Using the expertise of our multidisciplinary clinical lung cancer team (Drs. Kelly, Gandara, Cooke, Yoneda, and Murin) with leaders in metabolomics and lipid biology (Dr. Fiehn) and glycomics (Drs. Miyamoto and Lebrilla), we aim to identify mass spectroscopy-detectible biomarkers of early lung cancer. The advent of “omics” technologies will allow us to expand the current pool of DNA and protein biomarkers and facilitate our vision of a systems-biology screening and/or diagnostic tool based on “biomarker panels.” Our approach begins with a discovery phase that will identify biomarkers in tumor and blood with the aim of finding blood-based biomarkers that most closely reflect tumor biology. Next we will proceed to the testing phase to determine the performance of these biomarkers in four independent cohorts (two lung cancer cohorts, healthy controls, and benign nodules). Biomarkers that meet our pre-specified criteria will require further evaluation that is beyond the scope of this proposal.

The overarching concept guiding our work is that combinations of biomarkers and imaging characteristics will be most robust in predicting which patients with lung nodules should receive an aggressive diagnostic and/or therapeutic approach and which patients should be monitored for nodule stability over time. Our objectives are to improve two biomarker tests that already have shown significant promise-- sputum chromosomal aneusomy by fluorescence in situ hybridization (CA-FISH) and the analysis of multiple serum analytes by a highly multiplexed aptamer-based assay developed by SomaLogic, Inc.-- and then to compare test performance with predictive models based on nodule and patient characteristics. These objectives are based on two separate hypotheses: 1. The current CA-FISH assay panel can be further improved by the development of two sub-panels, one for detection of squamous cell carcinoma of the lung (SCC) and the second for the detection of adenocarcinoma of the lung (AC). 2. The current aptamer-based analysis can be further improved by developing separate assays specifically designed for the detection of AC, SCC, K-ras, and EGFR-mutated lung tumors. The assays will then be applied to sputum and blood specimens from the Pittsburgh SPORE Pittsburgh Lung Screening Study (PLuSS) and Colorado SPORE Lung Nodule cohorts, in concert with analysis of the CT characteristics of the corresponding lung nodules, including size, volume, density, location, or airway involvement, to compare test performances and to assess whether combining tests would be valuable.