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| Funder | NATIONAL CANCER INSTITUTE |
|---|---|
| Recipient Organization | Johns Hopkins University |
| Country | United States |
| Start Date | Mar 01, 2021 |
| End Date | Feb 28, 2026 |
| Duration | 1,825 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | NIH (US) |
| Grant ID | 10358604 |
Summary More than 1.8 million people worldwide are diagnosed with non-small cell lung cancer (NSCLC) every year. Of these patients, 20% present with stage I or II disease. For these patients, surgical resection remains the first course of treatment, however even in apparently curative surgery 50% of stage I and 70% of stage II
NSCLC patients will recur and eventually die of the disease. Neoadjuvant and adjuvant chemotherapy are standard treatments for resectable NSCLC and are used with the dual goals of reducing tumor size prior to surgery and preventing relapse. We recently completed a clinical trial of neoadjuvant PD-1 blockade in
resectable NSCLC and demonstrated an impressive 45% major pathologic response rate. To date, however, the mechanisms underlying response to this treatment are unknown. In the study proposed here, we will leverage this existing clinical trial and the biospecimens already obtained to elucidate the functional impact of
PD-1 blockade on tumor-reactive T cells and to determine how differential T cell transcriptional programs facilitate pathologic response. We will implement a novel approach, using the T cell receptor as a molecular barcode for antigen-specificity using basic and single cell sequencing technologies, to understand the
dynamic interplay of different T cell subsets and how their transcriptional programming is modified by anti- PD-1. Identification of targetable markers of response or resistance, development of novel bioinformatic approaches to analyze neoantigen-specific single cell data, and enumeration of immunogenomic
determinants of pathologic response to neoadjuvant PD-1 blockade are only some of the key outcomes of this study.
Johns Hopkins University
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