Adenocarcinoma

EGFR-mutant lung cancers (LC) serve as the prototype oncogene-driven cancer and mechanisms of resistance to EGFR therapy are well-established. Selective pressure of EGFR inhibitors can induce lineage plasticity to escape oncogene-dependence. While we have shown EGFR/TP53/RB1-mutations are necessary but insufficient to induce small cell transformation, no other genomic signatures and transcriptomic/epigenomic effectors that induce transformation have been identified.

Using parallel exome sequencing, bulk RNA sequencing, and bisulfite sequencing, we will characterize the biomarkers of transformation in EGFR/TP53/RB1-mutant LC and mixed adenocarcinoma/squamous cell tumors. We will also utilize single-cell RNA sequencing to identify the transcriptional changes associated with transformation and to identify distinct cell types within a heterogenous tumor. We will reconstruct a phenotypic landscape to identify subclones in a transitional state between histologies. The information obtained from these studies will nominate novel biomarkers of lineage plasticity that will be validated and proposed for study in clinical trials.

Despite high tumor response rates, patients treated with osimertinib inevitably develop disease progression. Mechanisms of both intrinsic, adaptive, and acquired drug resistance remain incompletely understood on a genomic and proteomic level. Our overall objective is to find new targeted treatments and drug combinations that can tackle cancer evolution and drug resistance.

We seek to:

1. Understand biological determinants of response prior to therapy (poor prognosis features)
2. Utilize correct combination therapies in the first line to enhance response, based on biological features of subpopulations present at the start
3. Reprogram cells toward a more drug-sensitive state through understanding network plasticity.

More specifically, our aims are:

1. To define the genomic and proteomic characteristics of drug-tolerant persister cells (DTPCs) under dynamic treatment with osimertinib. Our goal is to identify new vulnerabilities in EGFR-mutant tumors which, when therapeutically targeted, can maximize the depth and duration of benefit to first-line osimertinib therapy.
2. To decipher mechanisms of altered cell cycle progression and osimertinib-induced DNA damage that drive tumor progression.

We have assembled a collaborative, multi-disciplinary team of laboratory scientists and clinical investigators combined with cutting edge technologies to assess genetic and proteomic heterogeneity at the single cell level, access to a robust pipeline of patient samples, and strong preliminary data to support our studies. The proposed aims are expected to define the molecular determinants of tumor heterogeneity and to develop rational therapeutic strategies for delaying / overcoming resistance. These synergistic aims are highly relevant to the current landscape of EGFR-mutant lung cancer.

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.

Small cell lung cancer (SCLC) is among the most aggressive and deadly human cancers. It represents approximately 15% of all lung cancers, and it is responsible for over 30,000 deaths in the US and 200,000 deaths worldwide every year. SCLC responds to treatment but recurs frequently and aggressively, with the majority of patients dying within 12 months of diagnosis. No targeted therapies are yet available for SCLC. New strategies are needed to improve outcomes for patients with SCLC. This project will expand upon preliminary data identifying at least two distinct subpopulations of cells in SCLC cell lines and patient-derived xenografts comprising a neuroendocrine (NE) and mesenchymal-like (ML) set of cell line populations. Dr. Lehman and his team will use an innovative approach using mass cytometry, using rare earth antibody conjugates to antibody label more than 30 proteins simultaneously, including phospho and signaling proteins. This technique will establish at a single-cell resolution tumor heterogeneity and signaling in small cell lung carcinoma in multiple primary human samples as well as in patient-derived xenograft samples before and after chemotherapy treatment. This proposal aims to (1) characterize the signaling of subpopulations in human primary SCLCs at a single-cell resolution, (2) identify changes in tumor heterogeneity and in these subpopulations after chemotherapy treatment and relapse, and (3) disrupt and manipulate developmental signaling/ associated subpopulations (prototypically the HH [Hedgehog] and Notch/DLL3 pathways) to reduce tumor burden and lead to targeted rational combination therapy for SCLC.

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.