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Active NON-SBIR/STTR RPGS NIH (US)

HLA B44 motif neoepitopes in NSCLC: Evaluating their effects on the TME and adding them to established markers in a model to predict durable benefit from PD- 1 inhibition with and without chemotherapy

$2.25M USD

Funder NATIONAL CANCER INSTITUTE
Recipient Organization University of California Los Angeles
Country United States
Start Date Aug 01, 2023
End Date Jul 31, 2028
Duration 1,826 days
Number of Grantees 1
Roles Principal Investigator
Data Source NIH (US)
Grant ID 10994035
Grant Description

PROJECT SUMMARY Lung cancer is the leading cause of cancer related deaths in the United States and the World. We recently demonstrated that programmed cell death 1 (PD-1) inhibitors, which lead to durable responses in a minority of non-small cell lung cancer (NSCLC) patients, have greater efficacy in patients with charged HLA-B binding

pockets whose tumors harbor mutation(s) leading to what we have designated as motif neoepitopes. Motif neoepitopes have an amino acid substitution in the second position of a nonamer generating a change in charge from the wild type peptide with the resultant amino acid having a charge opposite from the HLA-B binding pocket.

To date, the immunological changes induced by motif neoepitopes have not been explored. We propose a comprehensive evaluation of the underlying mechanism, focusing on patients with HLA-B44 supertype alleles because of the prevalence (approximately 40% of the population) and distribution of HLA-B44 across racial and

ethnic groups. We will evaluate samples in the cancer genome atlas (TCGA) from patients with at least one HLA- B44 supertype allele to explore differences in the tumor microenvironment (TME) among patients with or without motif neoepitopes by examining gene expression and cellular composition by slide review and algorithms based

on gene expression profiles. We will evaluate surgical specimens from treatment naïve patients with or without HLA-B44 motif neoepitopes and evaluate spatial signatures of the TME by multiplex immunofluorescence (MIF). We will assess multiple sections from each specimen to identify biomarkers most significantly associated with

motif neoepitopes. We will further examine immune contextures of the TME associated with motif neoepitopes by single cell RNA-seq analysis. To elucidate the predictive value of motif neoepitopes in early stage NSCLC patients, we will perform whole exome sequencing (WES) and transcriptomic data, which we now routinely obtain in our NSCLC patients as part

of patients' clinical care. We will analyze the presence and expression of genes harboring motif neoepitopes. Together, these studies will provide a better understanding of the TME and other immunologic changes associated with the presence of motif neoepitopes.

Dr. Velez is trained as a medical oncologist, and her true goal is to bring innovative clinical trials to representative populations and perform correlative analyses on these representative populations. She has learned a great deal about stastitical analysis as part of her training to date. However, she has not spent much time working on

modern techniques to analyze biospecimens. Analysis of biospecimens are generally what provide junior investigators with the hypotheses that can be translated into innovative clinical trials. That is certainly the case in one of my prior trainees, who currently has a K08 and recently submitted his first R01 application. I believe

that with Dr. Velez' participation in this research project, she will be able to advance her understanding of biology and biostatistics to enable her to perform these sorts of analyses, an important next step in her academic career.

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University of California Los Angeles

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