Non-small cell lung cancer (NSCLC)

Lung cancer is the leading cause of cancer related death among women and men and the second most diagnosed cancer in the world, causing 1.8 million deaths annually. Surgical resection of the primary tumor is the standard of care whenever possible. However, 90% of lung cancer deaths are caused by metastases months-to-years after surgery. Current screening tools such as high-resolution Computed Tomography (CT) and Positron Emission Tomography (PET) can only identify tumors that have reached a detectable size, that often correlates with advanced disease. However, this technology carries side problems, including the false positive rate that led to follow-up tests and invasive procedures that confers additional risks to patients.  

Therapeutic strategies targeting specific driver mutations have emerged in recent years for the treatment of metastatic non-small cell lung cancer and have improved survival, yet the initial identification of these molecular alterations depends on biopsies of metastatic lesions after the resection of the primary tumor. For biopsy, the metastatic lesion must be large enough to be detectable by clinical imaging tools, and this large lesion indicates a relatively advanced stage of disease. Biopsy of these lesions is often difficult from both location and patient-safety perspective. An emerging option is a blood draw or liquid biopsy to obtain circulation tumor DNA (ctDNA) for mutation analyses, yet the ctDNA is not abundant in circulation until relatively large metastases have already formed.  

Therefore, novel, efficient, and affordable approaches are needed for disease surveillance. We propose a high sensitive, minimally-invasive and efficient cell capture device for easy isolation of tumor cells at early stages of disease, whose analysis can identify targeted therapeutics that can be applied while the disease burden and heterogeneity are low. Furthermore, this technology would increase the coverage of the eligible population and reduce the clinical costs by using histopathology analysis of the sentinel implant. This device is a porous biomaterial scaffold that, when implanted, is vascularized, and infiltrated by immune cells and subsequently cancer cells, acting as a synthetic sentinel niche that provides information about the disease development and progression. Our previous studies in breast and pancreatic cancer models have demonstrated that tumor cells are detectable early after tumor initiation and during the progression of the disease. A comparative analysis of scaffolds and ctDNA showed that the implant captured and therefore detected cancer cells before positive detection of ctDNA.  

We will determine the genomic and transcriptomic prolife of inoculated lung cancer cells in PDX’s murine model at early time points. We anticipate that the tumor cells captured by the scaffolds will recapitulate the genotype of the parental PDX. The scaffold safety will be investigated in a Phase I clinical study of metastatic lung cancer patients implanted with our scaffold, with biopsy and subsequent removal to analyze captured cells. Sequencing analysis will be applied to captured cancer cells to assess their genomic and transcriptomic profile. We foresee the use of these bioengineered implants for surveillance in high-risk lung cancer patients, with analysis of the collected cells employed to identify personalized therapeutic strategies to improve patient outcome.

Lung cancer is the leading cause of cancer-related mortality. Lung Cancer Screening (LCS) with an annual low-dose computed tomography (LDCT) scan has been recommended by the United States Preventive Services Task Force (USPSTF) since 2013, but uptake and adherence has been quite poor, estimating less than 20% of those eligible get screened. Additionally, there is a lack of consensus or high quality data to compare implementation strategies for lung cancer screening programs, and how these perform at reaching patients from different demographic backgrounds. Recently, there has been increasing interest in “centralizing” lung cancer screening into self-contained programs, with dedicated support staff and clinical personnel to coordinate shared decision making, scheduling of imaging, and arranging appropriate follow up. It is poorly understood how these centralized programs may compare at scale to “decentralized” screening that is coordinated by Primary Care Physicians directly with their outpatients. The proposed study seeks to utilize nationwide longitudinal data from multiple lung cancer screening programs from the Veterans Affairs Healthcare System to evaluate the comparative performance of centralized versus decentralized screening programs, and specifically highlighting their performance amongst various racial and income groups.

EGFR mutations render lung cancer tumors resistant to immunotherapy via checkpoint blockade. Fortunately, the development of EGFR tyrosine kinase inhibitors (EGFRi) such as Osimertinib has provided impressive clinical responses in a majority of patients. However, many of these patients eventually recur. Studies by our group and others have identified some of the mechanisms associated with resistance to EGFRi. Although EGFRi eliminate the overwhelming proportion of tumor cells, a limited number of cells persist and have thus been termed DTPCs (drug-tolerant persister cells). Importantly, it is these DTPCs which eventually become resistant and are to blame for patient recurrence, highlighting the importance of eradicating these cells before they become fully resistant. Resistance to EGFR TKIs can emerge via two main mechanisms: oncogene-dependent and independent. While oncogene-dependent mechanisms include accumulation of additional mutations in EGFR such as T790M and C797S, oncogene-independent mechanisms include epithelial to mesenchymal transition (EMT) and small cell transformation. Despite their lack of responsiveness to EGFRi at this juncture, each of these mechanisms offers a unique opportunity to leverage cellular immunotherapy to eradicate EGFR mutant DTPCs before they become resistant, thereby improving clinical outcomes. Over the last few years, we have built a library of T cell receptors (TCRs) which confer the ability to recognize epitopes derived from common EGFR mutations including L858R, T790M, and C797S, as well as from the tumor-associated antigen (TAA) FOXM1 which is overexpressed in tumors, and upregulated upon resistance to EGFRi through EMT and small cell transformation. Therefore, we hypothesize that engineering T cells with receptors targeting these EGFR- and FOXM1-derived antigens allows the destruction of DTPCs following treatment with EGFRi, thereby preventing the emergence of resistance. We propose the following specific aims: Aim 1. Assess the impact of drug-tolerant persister cells on CD8 T cell phenotype and function. In this aim, we will identify immune suppressive mechanisms deployed by DTPCs to inhibit T cell response and function. Aim 2. Evaluate the potential of T cell engineering to eliminate DTPCs. In this aim, we will test the ability of TCR-engineered T cells recognizing epitopes derived from EGFR(L858R) and EGFR(T790M) and from the FOXM1 TAA to eradicate DTPCs in vitro and in vivo. Overall, our proposal aims to demonstrate for the first time that TCR engineering can be used in combination with EGFRi to eradicate EGFR-mutant DTPCs. As a result, this work lays the foundation for use of TCR-engineered T cells in this treatment setting. Most importantly, MD Anderson is currently running a clinical trial employing TCR engineering for the treatment of lung cancer with Alaunos Therapeutics which could provide a clear pathway towards the clinic.

The development of tyrosine kinase inhibitors (TKIs) revolutionized treatment of advanced/metastatic non-small-cell lung cancer with EGFR mutations. Osimertinib is one of several third-generation EGFR TKIs and shows improvement in progression-free survival and overall survival compared to first- and second-generation EGFR TKIs. However, intrinsic or acquired resistance to osimertinib emerges in essentially all patients, which prevents a cure for EGFR-mutated lung cancer. Therefore, it is necessary to develop better strategies to improve clinical outcomes. Recent evidence suggests that drug-tolerant persister (DTP) populations of cancer cells, which survive and adapt to TKIs during early phases of therapy, play an important role in the emergence of resistance to targeted therapies. Such DTP cells give rise to resistant cells via diverse mechanisms and contribute to spatial and temporal heterogeneity of tumors. Therefore, targeting DTP cells may be an efficient strategy to prevent resistance to EGFR TKIs. Using lung cancer cell line models and clinical specimens, we recently identified CD74 as a novel gene that plays a critical role in the drug-tolerant state. In vitro and in vivo experiments demonstrate that CD74 upregulation signals osimertinib resistance and blocks apoptosis, enabling tumor regrowth. Based on preliminary evidence, we hypothesize that CD74 increases tumor cell survival in the presence of TKIs and that elimination of CD74 positive cells by CD74-antibody-drug conjugates (ADCs) may suppress the emergence of DTP cells, which underlie relapse. In this proposal, we will test this hypothesis by: 1) confirming that CD74-positive cells are tolerant to EGFR TKIs; 2) investigating the mechanisms by which osimertinib induces CD74 expression; and 3) evaluating a combination of CD74-ADCs and osimertinib to prevent the emergence of acquired resistance. We will address these questions using cell culture systems and animal models. These experiments should unveil the mechanisms underlying resistance to EGFR-TKIs and the emergence of DTP cells, and provide preclinical evidence that a combination of CD74-ADC and EGFR TKIs is a rational and efficacious treatment strategy for EGFR-mutated lung cancer.

Lung cancer is the leading cause of cancer in the U.S., with over 238,000 new cases and more than 125,000 deaths expected in  2023. Early detection is crucial for improving prognosis, and low-dose computed tomography (LDCT) scans are recommended for high-risk populations. However, LDCT screening has limitations, including a significant false positive rate and low compliance. New approaches are therefore needed to enhance early detection in high-risk individuals. Liquid biopsy assays that can detect circulating tumor DNA (ctDNA) represent a promising alternative early detection approach. Our group has developed three state-of-the-art liquid biopsy techniques that each have the potential to detect lung cancer noninvasively, including a somatic mutation approach (Lung-CLiP), a methylation-based approach (meCAPP-Seq), and a fragmentomic-based approach (EPIC-Seq). We hypothesize that combining mutation-, methylation-, and fragmentomic-based ctDNA analysis will maximize sensitivity for detecting early stage lung cancers. Our proposal includes three specific aims. In the first aim, we will compare the clinical sensitivity and specificity of meCAPP- Seq, EPIC-Seq, and Lung-CLiP for early lung cancer detection. In the second aim, we will determine the analytical limits of detection for the three methods, which is important for future regulatory considerations. In the third aim, we will develop an integrated liquid biopsy assay that combines meCAPP-Seq, EPIC-Seq, and/or Lung-CLiP. We will test if combining two or all three assays can improve performance over the best- performing single assay. The deliverable of this project will be the identification of the combination of liquid biopsy assays that achieves the best performance for early lung cancer detection. If successful, our work has the potential to significantly improve early lung cancer detection which would lead to improved outcomes for lung cancer patients.

Radiation therapy is the single most utilized anti-cancer agent; nearly 70% of all cancer patients will receive radiation at some point in their cancer journey. Radiation plays a crucial role in almost half of all cancer cures. The sequencing of the human genome, completed nearly 20 years ago, followed by the large scale cancer sequencing effort in The Cancer Genome Atlas (TCGA) have provided an unprecedented understanding of cancers in the primary and metastatic setting. In those same years, medical oncology has undergone three major phase transitions: targeted therapies have changed the way we think many diseases with specific actionable mutations; immunotherapy has revolutionized the treatment of many of those without; and antibody-drug conjugates have increased the specificity of our cytotoxics. Radiation treatment decision making, however, has not seen these same changes from biological influences, instead having relied on advances in medical physics and computer science to drive our advances. While the number of trials has ballooned in radiation oncology of late, spurred on by encouragement, and funding, from pharmaceutical companies interested in the synergy between novel (and profitable) compounds in the form of immune checkpoint inhibitors and antibody-drug-conjugates, with radiation, our understanding of the relative benefits and best choices for individual patients has not seen the same increases. In fact, we have struggled to parse out the differences between these novel combinations and standard chemoradiotherapy in phase II trials, largely because of the combinatorial nature of our trials, and the sheer number of open questions. In this project, we seek to make headway toward personalizing radiation therapy treatment choices. Leveraging our experience in using gene signatures to predict individual patient radiation benefit, together with expertise in radiomics and genomics, we will track the progress and outcomes of patients with non-small cell lung cancer treated with standard of care chemoradiation using high resolution genomic and radiomic measures. The dynamics of these genomics through time will be correlated to the high temporal density radiomics features to allow for translation and generalization to all patients treated with modern technique. Through these complimentary -omic modalities, we aim to leverage our experience in creating signatures of therapeutic response to admit personalized treatment choice in the upfront setting, and opportunities to change course using real- time information gleaned from daily imaging. This pilot project will enable the development of novel multimodal data integration methodologies to interrogate radiation treatment response in a comprehensive manner.

Among mRNA modifications, N6- Methyladenosine (m6A) is the most abundant, catalyzed by a complex that includes methyltransferase-like 3 (METTL3). Although the function of m6A in cancer remains understudied, Gregory’s lab provided functional evidence of METTL3 as an oncogenic protein, promoting translation of oncogenes to promote lung cancer cell growth, survival, and invasion in human cancer cell lines. Lung adenocarcinoma (LUAD) is the most common form of lung cancer, with a survival rate of about 18%, highlighting the need for more effective treatments and understanding LUAD biology.  

Our hypothesis: METTL3 is a novel oncogenic factor in lung cancer and plays a key role in tumor initiation and progression. I will test the role of METTL3 in a LUAD mouse model, and in tumor organoid culture system.

Aim 1: Determine the effects of METTL3 manipulation on tumor progression in a LUAD mouse model. Lentivirus will be used to knockdown or overexpress METTL3 simultaneously with activation of oncogenic Kras in the LUAD mouse model for comparison of tumor number, size and histopathological features.  

Aim 2: Test the effects of METTL3 on early-stage lung cancer by manipulating METTL3 expression in a tumor organoid model of cancer initiation. Alveolar epithelial (AT2) cells from Kras mice will be infected with Cre and shMETTL3 or METTL3 cDNA to initiate early-stage lung cancer in organoid cultures, to assess organoid size, proliferation and differentiation features.  

This proposal could establish METTL3 as a therapeutic target for lung cancer and pave the way for understanding links between epitranscriptome and cancer biology.

While immunotherapies in cancer have allowed for major advances in the field, most patients with advanced or metastatic solid tumors do not achieve durable responses. While CAR-T cell therapy and bispecific antibody therapies which utilize T-cells as their effector have shown promise and durable responses in hematologic malignancies such as DLBCL and multiple myeloma, the promise of similar responses in solid tumors remains an unmet goal. TROP2, a cell surface protein normally expressed during fetal development and at low levels in some normal adult tissue, is over expressed on a variety of solid tumors including NSCLC, and has emerged as an ideal target. TROP2 is the target of the recently FDA approved ADC sacitizumab-govitecan for breast cancer as well as for patients with locally advanced or metastatic urothelial cancer and is currently being tested in phase II/III trials in NSCLC. However, response in patients and in animal models are not durable, even when targeting minimal residual disease (MRD; defined as the residual disease after effective genotype directed systemic treatment). We propose utilizing TROP2 directed CAR-T to target EGFRm NSCLC at MRD, which we hypothesize when compared to TROP2 directed ADC will demonstrate a more durable response. Our preliminary data support the high activity of TROP2 directed CAR-T against EGFRm NSCLC including in the MRD state after osimertinib treatment. We expect these findings to translate to approaches utilizing CAR-T cellular therapy to target the MRD state after targeted therapy.

Lung cancer is the most common cause of cancer mortality in the United States and Veterans are disproportionately affected. Lung cancer screening (LCS) using annual low-dose computed tomography (CT) scans substantially reduces lung cancer mortality by nearly one-quarter. Yet, uptake of LCS within the Durham Veterans Affairs Healthcare System is low as compared to other cancer screening programs, with participation rates among Black Veterans, Veterans from rural areas, and Veterans with mental health comorbidities being especially low. Barriers and facilitators to LCS include fear of cancer diagnosis, patient mistrust, structural racism, and provider biases, all of which impact shared-decision making around LCS. This study aims to develop an intervention using human centered design and community-based participatory research methodologies which can potentially improve equity in LCS shared decision making, referral, and participation and then pilot test the intervention to assess its feasibility, acceptability and usability. We hypothesize that the intervention will take the form of an electronic-shared decision aid and referral tool which will facilitate streamlined CT orders for eligible and interested Veterans and that it will be feasible, acceptable, and usable among both Veterans and VA providers.

Checkpoint immunotherapy has advanced the treatment paradigm for non-small cell lung cancer (NSCLC), but only some patients respond to treatment and many patients experience immune related adverse events (irAE). Understanding the distinct and overlapping mechanisms regulating anti-tumor immunity and autoimmunity due to checkpoint immunotherapy is critical for developing more effective and less toxic therapies. A subset of CD8+ T cells expressing killer cell immunoglobulin-like receptors (KIR) have recently been shown to suppress autoimmunity without impairing anti-viral immunity by eliminating autoreactive T cells. We reason that KIR+ CD8+ T cells may also play an important role in regulating autoimmunity arising from checkpoint immunotherapy. Furthermore, we reason that KIR+ CD8+ T cells may also regulate the activity of tumor-reactive T cells to varying degrees, since tumor-reactive T cells are a specialized type of autoreactive T cells. This study examines the hypothesis that KIR+ CD8+ T cells dampen autoimmunity and anti-tumor immunity during checkpoint immunotherapy treatment. To test this hypothesis, we will first interrogate the activity of KIR+ CD8+ T cells during the development of irAE after immune checkpoint blockade (specific aim 1). Next, we will evaluate the impact of KIR+ CD8+ T cells on anti-tumor immunity in NSCLC (specific aim 2). This study may shed light on the biological mechanisms regulating autoimmunity and anti-tumor immunity in lung cancer patients undergoing checkpoint immunotherapy. Insights gained from this study may pave the way toward clinical strategies for improving immunotherapy efficacy while minimizing irAEs.