NTRK fusions involving three neurotrophic tyrosine receptor kinase genes NTRK1, NTRK2, and NTRK3 and a variety of fusion partners were identified as oncogenic drivers across many cancer types. Drugs that target the chimeric protein product require the identification of the underlying gene fusion. This advocates the diagnostic use of molecular assays ranging from fluorescence in situ hybridization (FISH) and reverse transcription polymerase chain reaction (RT‐PCR)/Sanger approaches to targeted next‐generation sequencing (NGS). Immunohistochemistry may be used as a screening tool and adjunct diagnostic assay in this context. Although FISH and RT‐PCR/Sanger approaches are widely adopted in routine diagnostics, current experience with targeted RNA‐based NGS is limited. Here, we report on the analysis of major assays (TruSight TST170 and TruSight RNA Fusion [Illumina]; Archer FusionPlex Solid Tumor, Archer FusionPlex Lung, and Archer FusionPlex Oncology [Archer]; Oncomine Comprehensive Assay v3 RNA and Oncomine Focus RNA [Thermo Fisher Scientific]) that are commercially available. The data set includes performance results of a multicentric comparative wet‐lab study as well as an in silico analysis on the ability to detect the broad range of NTRK fusions reported until now. A test algorithm that reflects assay methodology is provided. This data will support implementation of targeted RNA sequencing in routine diagnostics and inform screening and testing strategies that have been brought forward.
Introduction The advent of immune checkpoint blockade (ICB) has led to significantly improved disease outcome in lung adenocarcinoma (ADC), but response of ALK/EGFR-positive tumors to immune therapy is limited. The underlying immune biology is incompletely understood. Methods We performed comparative mRNA expression profiling of 31 ALK-positive, 40 EGFR-positive and 43 ALK/EGFR-negative lung ADC focused on immune gene expression. The presence and levels of tumor infiltration lymphocytes (TILs) as well as fourteen specific immune cell populations were estimated from the gene expression profiles. Results While total TILs were not lower in ALK-positive and EGFR-positive tumors compared to ALK/EGFR-negative tumors, specific immunosuppressive characteristics were detected in both subgroups: In ALK-positive tumors, regulatory T cells were significantly higher compared to EGFR-positive (fold change: FC = 1.9, p = 0.0013) and ALK/EGFR-negative tumors (FC = 2.1, p = 0.00047). In EGFR-positive tumors, cytotoxic cells were significantly lower compared to ALK-positive (FC = − 1.7, p = 0.016) and to ALK/EGFR-negative tumors (FC = − 2.1, p = 2.0E-05). A total number of 289 genes, 40 part of cytokine–cytokine receptor signaling, were differentially expressed between the three subgroups. Among the latter, five genes were differently expressed in both ALK-positive and EGFR-positive tumors, while twelve genes showed differential expression solely in ALK-positive tumors and eleven genes solely in EGFR-positive tumors. Conclusion Targeted gene expression profiling is a promising tool to read out tumor microenvironment characteristics from routine diagnostic lung cancer biopsies. Significant immune reactivity including specific immunosuppressive characteristics in ALK- and EGFR-positive lung ADC, but not a total absence of immune infiltration supports further clinical evaluation of immune-modulators as partners of ICB in such tumors.
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