Biomarker or biomarker testing

Several tyrosine kinase inhibitors (TKIs) are available for the treatment of ALK+ NSCLC, but resistance to all ALK TKIs (including alectinib, brigatinib, 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+ NSCLC has demonstrated that a vaccine generated against the rearranged portion of ALK can both prevent the development of ALK+ tumors and also more effectively treat them once they arise. We have also recently found evidence for anti-ALK immune responses in patients, as a subset of them generate spontaneous ALK autoantibodies.

We aim to translate our preclinical findings to a first-in-human clinical trial. Aim 1 will test the safety and efficacy of a novel ALK vaccine + an amphiphilic CpG toll-like receptor 9 agonist adjuvant, administered in combination with an ALK TKI or PD-1 inhibitor in patients with TKI-resistant ALK-positive NSCLC. In Aim 2, using liquid chromatography data-independent acquisition mass spectrometry, we will directly identify antigenic ALK peptides presented by MHC molecules on the surface of cancer cells from tumor biopsies obtained on trial participants. In Aim 3, we will study pre- and post-vaccination anti-ALK T-cell responses among trial participants by analyzing peripheral leukocytes and intratumoral immune cells. The overarching goal is to develop a vaccine that stimulates patients’ immune cells to recognize and eliminate ALK+ tumors.

Small cell lung cancer (SCLC) is an aggressive, neuroendocrine malignancy that accounts for approximately 15% of lung cancers. Despite recent advances, including the approval of immunotherapy combined with chemotherapy for frontline treatment, the median overall survival for patients with extensive-stage SCLC remains approximately one year. These dismal outcomes are attributable, in part, to the lack of approved biomarkers for SCLC, which, in turn, is due to the dearth of available tissue for molecular analysis. Using transcriptomic data, we have developed a gene signature that defines four distinct molecular subtypes of SCLC – each with unique biology and therapeutic vulnerabilities. These subtypes are driven by the presence (or absence) of three transcription factors (ASCL1 – SCLC-A; NEUROD1 – SCLC-N; POU2F3 – SCLC-P; and a fourth triple-negative subtype “Inflamed” – SCLC-I) that are largely mutually exclusive. Our preliminary data suggests that inter- and intra-tumoral heterogeneity among these subtypes drives response and resistance to standard and novel therapies for SCLC, including classes such as PARP inhibitors (PARPi) and immunotherapy. We propose applying bulk and single-cell molecular approaches to assign and longitudinally monitor subtype among our established cohort of patient-derived xenograft models treated with PARPi, as well as patient tumor biopsies from an investigator-initiated trial assessing a PARPi/immunotherapy combination. Based on our preliminary data, we hypothesize that SCLC-P and SCLC-I will preferentially benefit from PARP inhibitors and immunotherapy, respectively, and that subtype shifts detectable at the single-cell level along with accompanying shifts in the composition of the immune microenvironment, will govern response and resistance.

KRAS mutations are the most common activating mutation in lung cancer and are identified in 25-30% of cases of lung adenocarcinoma. The clinical activity of molecularly targeted therapy in KRAS mutant lung cancer has been limited, as most prior approaches focused on downstream targets of the MAPK pathway, an approach which was largely ineffective. KRAS G12C is the most common subtype of activating KRAS mutation in NSCLC. Identification of a binding pocket of KRAS G12C enabled the development of covalent inhibitors (Ostrem et al. Nature, 2013), which selectively bind to the mutant cysteine and spare wild type or other mutant KRAS proteins (hereafter referred to as G12Ci). These drugs bind only to GDP-bound (i.e. inactive) KRAS G12C and trap the oncoprotein in its inactive state by preventing nucleotide exchange (Lito et al. Science, 2016). Of this new class of agents, two drugs (MRTX849 and AMG510) have demonstrated efficacy in early phase clinical trials, representing a remarkable breakthrough in the management of KRAS G12C mutant lung cancer. Acknowledging the limited number of patients treated thus far, response rates of 40-50% have been reported, demonstrating clinical activity far superior to prior molecularly targeted approaches for the management of KRAS mutant lung cancer. Despite this major advance it is clear that resistance to therapy, both primary and acquired, will remain a challenge and may in part be due to upstream receptor tyrosine kinase (RTK) signaling. Understanding the mechanisms of resistance to this new class of therapy is of paramount importance to improve the efficacy and durability of response, and for identifying rational combinatorial therapies for future clinical trials.

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: 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.

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.

Immune-targeted agents have generated antitumor responses that are transforming cancer therapeutics in various tumors types including lung cancer. Despite the impressive responses observed, the majority of patients eventually experience therapeutic resistance after an initial response. Considering the increased cost to patients and health systems both financially and in terms of time spent in management of immune-related adverse effects it has become clear that success of immuno-oncology approaches depends on choosing patient populations most likely to benefit. Our proposed research addresses the urgent unmet clinical need to understand the underlying biology of response and develop molecular assays of response and resistance to immune targeted agents. We propose comprehensive genome-wide analyses of tumors and cell-free circulating DNA to examine how cancer genomes change during immune checkpoint blockade. Our approach is focused on discovery of mechanisms of resistance using a multidimensional strategy that combines comprehensive genomic analyses with functional assays of autologous T-cell reactivity. The underlying premise of this proposal is that through our comprehensive molecular analyses, we will identify changes in the genomic landscape of tumors during immune checkpoint blockade that mediate emergence of primary and acquired resistance to these therapies. Unravelling the genomic mechanisms through which cancer adapts to evade anti-tumor immune responses will be critical for future development of tailored cancer immunotherapy strategies. We envision that the results of the proposed research will be used to develop patient-specific immunotherapy approaches in lung cancer and will launch investigator-initiated clinical trials at Hopkins and other institutions.

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.