Adjuvant or neoadjuvant

Interception

Liquid biopsy

Squamous cell lung cancer

Screening

Stage I

Stage II

Read more about Intercept Lung Cancer Through Immune, Imaging & Molecular Evaluation-InTIME – Part 2

Building Reliable Oncology Navigation to Ensure Adjuvant Management: BRONx-TEAM Project

2024

Career Development Award

Tamar Nobel, MD, MPH

Montefiore Medical Center

Bronx

The introduction of targeted therapies and immunotherapy for early-stage lung cancer is associated with improved survival, but patients can only benefit if they partake in adjuvant and neoadjuvant therapies. Data has shown that inequalities exist for patients with lower socioeconomic status as well as non-White patients when it comes to being referred for and receiving treatment after surgery. These inequalities are likely to increase as new drugs are developed in clinical trials comprised of predominantly white patients. In this project, Dr. Nobel will study the impact of disparities on uptake of adjuvant therapy for NSCLC in a largely minority patient population at Montefiore Medical Center in Bronx, NY. She will provide social support and health literacy to engage patients in their care and collect genetic data about their tumors, which will contribute to future clinical trials that are more inclusive.

Research Summary: Systemic therapy after surgery to remove lung cancer has been demonstrated to improve survival. However, data has shown that there are inequalities in which patients are referred for and receive treatment after surgery, specifically for lower socioeconomic status and non-White patients. As new treatments have been developed, these inequalities are likely to increase as these drugs have been developed in clinical trials predominantly composed of White patients and the benefits in other populations are not known. We have previously demonstrated that using nursing and peer navigators to help guide patients in their cancer care improves treatment adherence in our predominantly Black and Hispanic low socioeconomic status population in the Bronx. The BRONx-TEAM project aims to improve patient outcomes by using a navigation pathway focused on increasing patient adherence to systemic therapy after surgery for non-small cell lung cancer resection. We believe that by providing social support and improving health literacy we can get patients to be more informed and engaged in their cancer care. Furthermore, we will gather genetic data about the patients tumors. Given our patient population, we have a unique opportunity to contribute to the literature to understand the relationships between tumor genetics, treatment types and outcomes in non-White patients. Furthermore, we will investigate the use of a commercial genetic panel to assess risk for recurrence. Given the lack of this type of data in low income non-White patients, we believe that this exploratory portion of our study will serve as an important foundation for future clinical trials that are more inclusive than the currently available literature.

Technical Abstract: As seen in the phase III trial CheckMate 816 (CM816), neoadjuvant anti-PD-1+chemotherapy improves survival for patients with resectable non-small cell lung cancer (NSCLC), with pathologic response as a major trial endpoint. Our team led the Central Pathology Review for CM816, and we showed the first prospective evidence that the full spectrum of % residual viable tumor (%RVT) associates with event free survival. Given the data supporting pathologic response as a survival surrogate, %RVT will likely be incorporated into the next generation of clinical trials and may ultimately guide clinical decision-making. %RVT is primarily evaluated using visual assessment of routine hematoxylin and eosin-stained slides. We developed a machine learning-based approach to score %RVT, which allows for a standardized approach that can be completed rapidly for a large volume of patients, and we propose to test this algorithm in resection specimens from CM816. Additionally, we will use multiplex immunofluorescence (mIF) to quantify individual features of pathologic response, locate them within the larger tumor bed, and determine the relative contribution in predicting patient outcomes. Furthermore, we will use the novel AstroPath platform, a mIF whole-slide imaging platform that uses algorithms first developed in astronomy to generate tumor-immune maps, to identify additional pre- and on-treatment biomarkers of response. Our goal is to leverage emerging technologies (i.e, machine learning and mIF) to develop the next generation of pathology biomarkers, including pathologic response assessment, and to identify additional features that can potentially be targeted in combination with anti-PD-(L)1+chemotherapy to improve clinical benefit in patients with NSCLC.

Key words

Molecular profile or molecular testing

Stage III

Stage IV

Read more about Building Reliable Oncology Navigation to Ensure Adjuvant Management: BRONx-TEAM Project

Next-generation pathologic response assessment in patients with lung cancer

2024

Career Development Award

Julie Deutsch, MD

Johns Hopkins School of Medicine

Baltimore

Dr. Deutsch’s proposal centers around finding better pathologic predictors of response to neoadjuvant IO in early stage NSCLC. She will utilize machine learning/artificial intelligence to test an algorithm that she and her team have developed that assesses percent residual viable tumor (%RVT), which is the amount of tumor left at the time of surgery. Dr. Deutsch will also characterize tissue specimens using a novel immunofluorescence platform to identify cell types and spatial relationships that are associated with patient benefit to immunotherapy+chemotherapy. This approach can help inform which patients should receive a given therapy, how they will respond, and additional possible targets for the development of new therapies.

Research Summary: Immunotherapy revolutionized the treatment of lung cancer, and is now being extended so patients can receive therapy before surgery. This was supported by a large clinical trial, CheckMate 816 (CM816), where patients with lung cancer showed improved survival when treated with immunotherapy+chemotherapy before surgery, compared to chemotherapy alone followed by surgery. However, there is an unmet need to identify who is most likely to benefit from such an approach. To address this gap, we will apply novel, next-generation pathology biomarkers utilizing machine learning/artificial intelligence and multispectral imaging. Specifically, we have shown that the amount of tumor left at the time of surgery, termed percent residual viable tumor (%RVT), predicts survival. To date, %RVT assessment is primarily performed visually on glass slides using a light microscope. We developed a machine learning-based algorithm for assessing %RVT on digitized glass slides using a small cohort of patients at Johns Hopkins to improve standardization and throughput in preparation for broad usage. Here, we will test the algorithm’s performance in a larger cohort of patients (the CM816 patients). Additionally, we will characterize tissue specimens using the novel multiplex immunofluorescence AstroPath platform, which uses algorithms first developed in astronomy, to identify cell types and spatial relationships that are associated with patient benefit to immunotherapy+chemotherapy. Our goal is to use cutting-edge technologies to improve the care of lung cancer patients by informing which patients should receive a given therapy, how well patients will do after receiving therapy, and possible additional targets for the development of new therapies.

Technical Abstract: As seen in the phase III trial CheckMate 816 (CM816), neoadjuvant anti-PD-1+chemotherapy improves survival for patients with resectable non-small cell lung cancer (NSCLC), with pathologic response as a major trial endpoint. Our team led the Central Pathology Review for CM816, and we showed the first prospective evidence that the full spectrum of % residual viable tumor (%RVT) associates with event free survival. Given the data supporting pathologic response as a survival surrogate, %RVT will likely be incorporated into the next generation of clinical trials and may ultimately guide clinical decision-making. %RVT is primarily evaluated using visual assessment of routine hematoxylin and eosin-stained slides. We developed a machine learning-based approach to score %RVT, which allows for a standardized approach that can be completed rapidly for a large volume of patients, and we propose to test this algorithm in resection specimens from CM816. Additionally, we will use multiplex immunofluorescence (mIF) to quantify individual features of pathologic response, locate them within the larger tumor bed, and determine the relative contribution in predicting patient outcomes. Furthermore, we will use the novel AstroPath platform, a mIF whole-slide imaging platform that uses algorithms first developed in astronomy to generate tumor-immune maps, to identify additional pre- and on-treatment biomarkers of response. Our goal is to leverage emerging technologies (i.e, machine learning and mIF) to develop the next generation of pathology biomarkers, including pathologic response assessment, and to identify additional features that can potentially be targeted in combination with anti-PD-(L)1+chemotherapy to improve clinical benefit in patients with NSCLC.

Key words

Molecular profile or molecular testing

Stage III

Stage IV

Read more about Next-generation pathologic response assessment in patients with lung cancer

Phase 2 trial of neoadjuvant KRAS G12C directed therapy in resectable NSCLC

2022

Career Development Award

Kristen Marrone, MD

Johns Hopkins School of Medicine

Baltimore

Around one in three patients with non-small cell lung cancer are diagnosed with early-stage disease, where surgery is offered as curative therapy. Unfortunately, the cancer can recur in 50%-60% of patients. The rate of recurrence is higher in patients whose tumors have certain mutations, such as mutations in the KRAS gene. Dr. Marrone and her team will be conducting a phase 2 trial to test whether treatment with a KRAS G12C blocking drug, adagrasib, given as a single drug or in combination with an immunotherapy drug, nivolumab, before a patient undergoes surgery can delay or prevent recurrence in patients whose tumors have a KRAS G12C mutation.

Research Summary

Although one in three patients diagnosed with non- small cell lung cancer (NSCLC) are found to have potentially curable earlier stage disease, for many the cancer will return. Rates of cancer returning are higher in patients whose tumors have certain mutations, such as KRAS. Immunotherapy with immune checkpoint inhibitors has improved survival for patients with later stages of NSCLC and around the time of surgery. Targeted therapies for KRAS are also improving outcomes for patients with advanced NSCLC. The goal of this study is to evaluate if immunotherapy alone or in combination with a targeted pill for a specific KRAS mutation called G12C is safe and can eliminate cancer cells when given prior to surgery for earlier stage NSCLC. Using immunotherapy and targeted therapies in early stage NSCLC may increase rates of cure compared to surgery and chemotherapy alone.

It is important to understand how and why this therapy may improve cure rates in early stage KRAS mutated NSCLC. Therefore, we will also evaluate the quantity and quality of the immune response with this clinical trial therapy. By evaluating the T cells in the tumors after these treatments, we will better understand how to create a deeper and stronger immune response in KRAS-mutated NSCLC. This is essential because we know that a patient’s own immune system can help increase cure rates and control cancer for longer than other therapies alone. Overall, our trial seeks to create new treatment opportunities for surgical lung cancer while improving outcomes across all stages of KRAS-mutated NSCLC.

Technical Abstract

Although about a third of patients with non-small cell lung cancer (NSCLC) present with resectable disease, a majority will experience death and relapse from their cancer. Exciting recent advances in the use of immune checkpoint inhibition in this early stage space presents a promising way forward for our patients. As the most commonly mutated oncogene, activating KRAS mutations are found in 30% of lung adenocarcinomas; G12C mutations have been associated with higher risk of recurrence following resection. Adagrasib (MRTX849), a potent, highly selective novel small molecule inhibitor of KRAS G12C, has shown promise in previously treated advanced NSCLC. Our study represents a novel application of precision oncology in the resectable NSCLC disease setting with the neoadjuvant use of adagrasib monotherapy or in combination with immune checkpoint inhibition. We will identify safety and clinical efficacy signals of both of these therapeutic approaches. Leveraging our institutional expertise of using single- cell transcriptomics of tumor- infiltrating lymphocytes (TIL), we will evaluate neoantigen-specific transcriptional programs with a focus on KRAS-specific changes, and correlate with clinical outcomes. Overall, our study aims to ultimately improve cure rates of resectable KRAS G12C-mutated NSCLC.

Key words

KRAS

Stage I

Stage II

Targeted therapy

Read more about Phase 2 trial of neoadjuvant KRAS G12C directed therapy in resectable NSCLC

Intercept Lung Cancer Through Immune, Imaging & Molecular Evaluation-InTIME

2017

Lung Cancer Interception Award

Grant title (if any)

SU2C-LUNGevity Foundation-American Lung Association Lung Cancer Interception Dream Team

This grant was co-funded by Stand Up to Cancer, LUNGevity, and the American Lung Association

Avrum Spira, MD, MSc

Boston University

Boston

Steven Dubinett, MD

UCLA

Los Angeles

Julie Brahmer, MD

Johns Hopkins Kimmel Cancer Center

Baltimore

Sam Gambhir, MD, PhD

Stanford University

Palo Alto

Matthew Meyerson, MD, PhD

Harvard/Dana-Farber Cancer Institute

Boston

Charles Swanton, PhD

Francis Crick Institute

London, England

The SU2C-LUNGevity Foundation-American Lung Association Lung Cancer Interception Dream Team, led by LUNGevity SAB member Dr. Avrum Spira, is developing a combination of diagnostic tools, such as non-invasive nasal swabs, blood tests, and radiological imaging, to confirm whether lung abnormalities found on chest imaging are benign lung disease or lung cancer.

Technical Abstract

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.

Key words

Interception

Liquid biopsy

Squamous cell lung cancer

Screening

Stage I

Stage II

Read more about Intercept Lung Cancer Through Immune, Imaging & Molecular Evaluation-InTIME

Neoadjuvant anti-PD-1 antibody, Nivolumab, in resectable NSCLC

2014

Career Development Award

Patrick Forde, MD (MB, BCh)

Johns Hopkins Kimmel Cancer Center

Baltimore

Dr. Forde is working to apply a kind of immunotherapy that has been successful in people with lung cancer in later stages to people with early-stage lung cancer, stimulating their immune system to attack cancer cells. This treatment, nivolumab, uses anti PD-1 antibodies to release the “brakes” on the immune system.

Research Summary

We usually think of our immune system in terms of its role in fighting infections such as flu and other viruses. Equally important, however, is the role of the immune system in preventing the development of cancer. Recent important breakthroughs in cancer research have led to the approval of new drug treatments for prostate cancer and melanoma that work by stimulating the immune system to attack cancer cells. Most recently, another powerful class of agents that release the “brakes” on the human immune system and allow it to attack cancer cells, called anti-PD-1 antibodies, have led to tumor shrinkage and long periods of remission for certain patients with advanced lung cancer for whom chemotherapy has stopped working. This study will enroll patients in a clinical trial to examine the role of an anti-PD-1 antibody called nivolumab given before surgery for earlier stage lung cancer. While some early stage lung cancers may be cured by surgery and chemotherapy, for many patients the cancer returns and effective treatments that reduce the risk of recurrence are urgently needed. This study will also examine how anti-PD-1 affects the immune system in patients with lung cancer. The overall aim of this study is to move anti-PD-1 forward as a treatment for earlier stage lung cancer patients. This research will provide important new insights into how the immune system deals with lung cancer and will allow the planning of future studies of immunotherapy to directly benefit patients.

Technical Abstract

Background & Significance: Phase I studies with the anti-programmed death-1 antibody (anti-PD-1), nivolumab, in advanced non-small-cell lung cancer (NSCLC) have demonstrated remarkably durable responses in heavily pretreated patients that lasted a median 17 months. However, in these studies very few patients have had tumors available for immune analysis, and basic data on immune measures pre- and post-treatment are not available. This study will move the treatment paradigm forward by assessing the safety and feasibility of preoperative anti-PD-1 in NSCLC and providing detailed information on the effect of PD-1 modulation on the lung tumor immune microenvironment.

Methods: Patients with newly diagnosed stage IB-IIIA NSCLC will receive two doses of nivolumab 3mg/kg IV on day-28 and day-14 prior to planned surgery on day 0. Serial blood samples for immune markers will be obtained. The primary endpoint of this study is the safety and feasibility of preoperative nivolumab in resectable NSCLC. For the exploratory immune analyses, initial tumor biopsy, post-treatment resection specimen, and serial peripheral blood samples will be evaluated for expression of immune markers with the primary comparison being intra-patient, pre- and post-treatment.

Experimental Approach & Statistical Analysis Plan: As this is the first time that nivolumab has been administered pre-operatively in NSCLC, the study will commence with a run-in phase where six patients will be monitored continuously for adverse events through eight weeks following surgery. Overall, the study will continue without pause to a 12-patient expansion phase if none or one of the six patients experiences DLT in the run-in. Detailed statistical plans for the safety and feasibility endpoints and exploratory immune endpoints are described in the main body of this application.

Key words

Chemotherapy