Abstract 3941: Novel biomarkers and multiplexed NGS to stratify FFPE NSCLC by tumor infiltrating lymphocytes and histopathology phenotypes

There is increasing evidence supporting the association of tumor infiltrating lymphocytes (TIL) and drug sensitivity of solid tumors. In particular, primary and meta-analyses have reported a positive correlation between TIL level and outcome in advanced non-small cell lung cancer (NSCLC) treated with checkpoint inhibitors such as PD-1 and PD-L1. Recent trials with immunotherapies have started including TIL assessment in the study protocol in recognition of this metric as a predictive and prognostic biomarker. TIL levels are typically quantified by visual assessment of H&E-stained tumor sections. While this approach is generally accepted as the standard, there is an increased recognition that visual assessment of H&E-stained slides lacks precision and is relatively subjective (Salgado R, 2015; Schalper KA, 2015). Furthermore, as investigators are often also interested in measurements of additional biomarkers such as IFNg as well as the drug targets, a gene panel approach offers a convenient solution to objectively quantify expression levels of these informative markers. Here we report the discovery and verification of a unique gene expression signature that is capable of stratifying FFPE samples of NSCLC tumors by TIL levels and histopathology phenotypes (adenocarcinoma vs. squamous cell carcinoma). Gene expression was measured by an RNA Ion AmpliSeq Gene Expression research panel* containing 200 assays. Each research sample was measured with replicates at library generation step and sequencing step. Technical replicates were found to have >0.99 correlation among each other. Assays on the panels were also found to be robust with respect to low input amount (1-10 ng RNA). *For Research Use Only. Not for use in diagnostic procedures.

Citation Format: Ann Mongan, Sophie Rozenzhak, Geoffrey Bien, David Chi, Hiroyoshi Nishikawa, Fiona Hyland, Jim Godsey. Novel biomarkers and multiplexed NGS to stratify FFPE NSCLC by tumor infiltrating lymphocytes and histopathology phenotypes. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3941.

Development and validation of a scalable next-generation sequencing system for assessing relevant somatic variants in solid tumors

Next-generation sequencing (NGS) has enabled genome-wide personalized oncology efforts at centers and companies with the specialty expertise and infrastructure required to identify and prioritize actionable variants. Such approaches are not scalable, preventing widespread adoption. Likewise, most targeted NGS approaches fail to assess key relevant genomic alteration classes. To address these challenges, we predefined the catalog of relevant solid tumor somatic genome variants (gain-of-function or loss-of-function mutations, high-level copy number alterations, and gene fusions) through comprehensive bioinformatics analysis of >700,000 samples. To detect these variants, we developed the Oncomine Comprehensive Panel (OCP), an integrative NGS-based assay [compatible with < 20 ng of DNA/RNA from formalin-fixed paraffin-embedded (FFPE) tissues], coupled with an informatics pipeline to specifically identify relevant predefined variants and created a knowledge base of related potential treatments, current practice guidelines, and open clinical trials. We validated OCP using molecular standards and more than 300 FFPE tumor samples, achieving >95% accuracy for KRAS, epidermal growth factor receptor, and BRAF mutation detection as well as for ALK and TMPRSS2:ERG gene fusions. Associating positive variants with potential targeted treatments demonstrated that 6% to 42% of profiled samples (depending on cancer type) harbored alterations beyond routine molecular testing that were associated with approved or guideline-referenced therapies. As a translational research tool, OCP identified adaptive CTNNB1 amplifications/mutations in treated prostate cancers. Through predefining somatic variants in solid tumors and compiling associated potential treatment strategies, OCP represents a simplified, broadly applicable targeted NGS system with the potential to advance precision oncology efforts.