Stage - all

Metastatic non-small cell lung cancer (mNSCLC) is the leading cause of cancer-related death in the United States. Most patients with mNSCLC are treated with systemic agents, which prolong survival and improve symptoms, but are typically not curative. Although recent advancements in immune checkpoint inhibitors have revolutionized the management of mNSCLC lacking targetable driver mutations, only a fraction of mNSCLC patients benefit from immunotherapy. Emerging evidence suggests that ablative radiotherapy can augment immunotherapy responses in metastatic disease; however, strategies to optimize the synergy between local radiation and the immune system are not well defined. We are conducting a randomized phase I/II clinical trial designed to evaluate the safety and efficacy of combination immune checkpoint blockade (ipilimumab + nivolumab) plus multisite ablative radiotherapy as a first-line treatment for patients with mNSCLC. As a secondary analysis of the phase I trial, we propose to investigate biomarkers associated with treatment response. In Aim 1, we propose to compare the diagnostic accuracy of established clinical biomarkers, including PD-L1 immunohistochemistry (IHC), tumor mutational burden, gene expression profiles, and multiplex IHC in predicting response to combination ablative radiotherapy and immunotherapy. In Aim 2, we propose to characterize global transcriptional and genomic changes induced by radiation when given prior to or concurrently with immunotherapy and evaluate whether these changes are associated with treatment response. In addition, in Aim 3, we propose to validate a novel biomarker derived from alternative splicing as a predictor of radio-immunotherapy response. By elucidating the immunomodulatory properties of radiotherapy, we may be able to improve treatment responses and long-term survival in patients with mNSCLC.

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.

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.

The overarching goal of the project is to develop a new technology for accurate and cost-effective lung cancer screening in current/former smokers. Lung cancer is curable if detected early. However, there are no robust screening techniques with options such as CT scans fraught with cost, harms, and a high false positive rate. Dr. Backman and his group hope to transform the clinical practice of lung cancer screening by exploiting field carcinogenesis, the concept that the genetic/environmental milieu that results in lung tumor impacts upon the entire aerodigestive mucosa including the buccal mucosa, which was referred to as a “molecular mirror” of lung carcinogenesis.

Their data show that the alteration of nanoscale architecture of buccal cells is exquisitely sensitive to lung field carcinogenesis and may serve as a robust biomarker for lung cancer. These nanoarchitectural changes can be detected in a practical and highly accurate fashion via a new technology, partial wave spectroscopic (PWS) microscopy (‘nanocytology’).

In the proposed study, they will conduct a blinded validation case-control trial to determine the sensitivity and specificity of buccal nanocytology for lung cancer. They will evaluate the ability of the test to identify patients who have lung cancer and how many patients with lung cancer would be missed using this technique. They will perform a subgroup analysis for Stage I lung cancers. They will assess the potential confounding effects of smoking frequency and time of cessation and other aerodigestive malignancies.

This project will provide the requisite data for the future definitive multicenter validation trial followed by FDA submission.

KRAS mutations activate signaling from downstream effector proteins and are though to be required for tumor formation. Exactly how effector signaling is activated, however, is not fully understood. In addition, whether tumors harboring KRAS mutations depend on this oncogene for growth is unclear.

Dr. Lito and his group will dissect the phenotype of KRAS-mutant lung cancer by using a novel allosteric inhibitor that selectively targets KRAS G12C. They will first utilize biochemical assays in order to determine the mechanism of action of this inhibitor. An emphasis will be placed on evaluating how feedback pathways modulate this process, since this is likely to identify factors that may be used as biomarkers of response to treatment.

They will then determine which effector pathways drive the phenotype of KRAS G12C mutant lung cancer, and whether these exhibit adaptation (or reactivation) over time. If so, they will next explore combination-based interventions in order to establish the most effective antiproliferative strategy.

Finally, they will utilize novel patient-derived xenograft and cell line models, established from patients with lung cancer treated at MSKCC, in order to determine if KRAS G12C mutant lung cancers depend on this oncoprotein for growth. These models will also be used to test the most effective combination strategies determined above, as well as to test the potential benefit of intermittent administration schemes designed to best target tumor adaptation to this novel class of inhibitors.

The grand objective of this project is to establish a mutant KRAS-directed therapy for patients with lung cancer. 

Circulating tumor cells (CTCs) are cancer cells that break away from either the primary tumor or metastatic sites. Increasingly, CTCs have been used as a readily accessible source of tumor cells (“liquid biopsy”). However, shortcomings in current CTC technologies limit downstream analyses to assessment of a selected set of nucleic acid markers. Genome and transcriptome-wide analyses of CTCs have been hampered by the low purity of CTC isolates. The complex and protracted nature of CTC capture protocols further impedes analysis.

Dr. Kulkarni and his group have developed a CTC capture technology known as Vortex Chip, which allows for rapid isolation of highly purified CTCs. In addition to standard immunofluorescence, they have generated proof-of-principle evidence that their capture technology allows for analysis of genetic material. Moreover, because the Vortex Chip isolates CTCs based on their size, their chip does not require antibody-based capture that can potentially bias isolation of CTC subpopulations. Serial CTC analyses performed in the context of treatment changes can characterize the mutational landscape of tumors as they evolve in response to therapy and thereby identify molecular predictors and drivers of treatment resistance and sensitivity to novel anti-tumor therapies.

Their project has two goals: 1) validate use of CTCs as biomarker in lung cancer and 2) explore use of CTC analysis to obtain genetic information about the tumor. They hypothesize that the unique microfluidic characteristics of lung CTCs will drive rapid isolation of pure CTC populations for analysis to characterize heterogeneity and profile therapeutic responsiveness.