Abstract 3044: The unexplored immune landscape of high-risk pediatric cancers
Authors: Mayoh Chelsea , Terry Rachael L. , Wong Marie , Lau Loretta M. , Khuong-Quang Dong Anh , Mateos Marion K. , Tyrrell Vanessa , Haber Michelle , Ziegler David S. , Cowley Mark J. , Trapani Joseph A. , Neeson Paul J. , Ekert Paul G. 
Published: July 2021

Abstract
In adult cancer, immune signatures such as the T cell-inflamed gene expression profile (GEP) have been developed to predict which patients are likely to respond to immune checkpoint inhibitors (ICIs) beyond high tumor mutation burden (TMB) and PD-L1 expression. The GEP infers T cell infiltration and activation in the tumor microenvironment (TME) from transcriptomic data. However, it is not known whether tools such as GEP are applicable in pediatric cancer, as the TME in childhood cancers is largely unexplored and response to ICIs are rare. We have undertaken an integrated analysis of the pediatric TME using RNA-sequencing (RNA-seq) and immunohistochemistry (IHC). Our goal is to identify patients with T cell-inflamed or “hot” tumors who may benefit from ICIs. Through Australia's ZERO childhood cancer precision medicine program we performed RNA-seq on 347 high-risk pediatric cancers (estimated &lt;30% chance of survival) and performed IHC for CD4, CD8, CD45 and PD-L1 on 112 matching samples. Using both informatic assessments and IHC as independent measures of immune infiltration, we mapped the immune landscape of the TME across a broad range of high-risk pediatric cancers. As RNA-seq is increasingly used in the analysis of patient tumors, we investigated numerous molecular correlates of immune infiltration, tailored specifically to pediatric patients. RNA-seq was used to generate the GEP and map expression profiles of immune checkpoint genes, and deconvolution algorithms were used to extract the immune cell composition for every tumor. The correlation analysis between IHC, deconvolution of cell mixture composition and GEP were assessed, including PD-L1 protein and mRNA expression. We observed significant correlation between PD-L1 protein and mRNA expression and a weak correlation of CD8+ T cells with GEP. Deconvoluted TME estimates were most tightly correlated with the presence of T cell infiltrates (CD4 and CD8) with IHC. TMB and tumor purity estimates were derived from whole genome sequencing for each case. No correlation was observed between TMB and immune infiltration, however, tumor purity was negatively correlated with immune infiltration. Using IHC as an independent marker of a T cell-inflamed TME, we have identified a novel pediatric immune signature that includes markers of CD4 and CD8 T cells, T cell cytotoxicity, T and NK cell recruitment and activation, MHC Class II molecules and immune checkpoints. This is the first study to comprehensively analyze the pediatric TME in a cohort of this size and diversity, with matching IHC for orthogonal validation. Through the combination of RNA-seq and IHC, we have devised a novel immune signature specific to pediatrics and these techniques have identified a subset of patients that are immune “hot” and may potentially respond to ICIs. Conversely, we also highlight the potential of identifying immune “cold” patients who may need immunomodulatory combination strategies to maximize immune response.
Citation Format: Chelsea Mayoh, Rachael L. Terry, Marie Wong, Loretta M. Lau, Dong Anh Khuong-Quang, Marion K. Mateos, Vanessa Tyrrell, Michelle Haber, David S. Ziegler, Mark J. Cowley, Joseph A. Trapani, Paul J. Neeson, Paul G. Ekert. The unexplored immune landscape of high-risk pediatric cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 3044.