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Introduction: Genomic variants that lead to MET proto-oncogenem receptor tyrosine kinase (MET) exon 14 skipping represent a potential targetable molecular abnormality in NSCLC. Consequently, reliable molecular diagnostic approaches that detect these variants are vital for patient care., Methods: We screened tumor samples from patients with NSCLC for MET exon 14 skipping by using two distinct approaches: a DNA-based next-generation sequencing assay that uses an amplicon-mediated target enrichment and an RNA-based next-generation sequencing assay that uses anchored multiplex polymerase chain reaction for target enrichment., Results: The DNA-based approach detected MET exon 14 skipping variants in 11 of 856 NSCLC samples (1.3%). The RNA-based approach detected MET exon 14 skipping in 17 of 404 samples (4.2%), which was a statistically significant increase compared with the DNA-based assay. Among 286 samples tested by both assays, RNA-based testing detected 10 positives, six of which were not detected by the DNA-based assay. Examination of primer binding sites in the DNA-based assay in comparison with published MET exon 14 skipping variants revealed genomic deletion involving primer binding sequences as the likely cause of false negatives. Two samples positive via the DNA-based approach were uninformative via the RNA-based approach due to poor-quality RNA., Conclusions: By circumventing an inherent limitation of DNA-based amplicon-mediated testing, RNA-based analysis detected a higher proportion of MET exon 14 skipping cases. However, RNA-based analysis was highly reliant on RNA quality, which can be suboptimal in some clinical samples., (Copyright © 2019 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.)

Next-generation sequencing (NGS) diagnostic assays increasingly are becoming the standard of care in oncology practice. As the scale of an NGS laboratory grows, management of these assays requires organizing large amounts of information, including patient data, laboratory processes, genomic data, as well as variant interpretation and reporting. Although several Laboratory Information Systems and/or Laboratory Information Management Systems are commercially available, they may not meet all of the needs of a given laboratory, in addition to being frequently cost-prohibitive. Herein, we present the System for Informatics in the Molecular Pathology Laboratory (SIMPL), a free and open-source Laboratory Information System/Laboratory Information Management System for academic and nonprofit molecular pathology NGS laboratories, developed at the Genomic and Molecular Pathology Division at the University of Chicago Medicine. SIMPL was designed as a modular end-to-end information system to handle all stages of the NGS laboratory workload from test order to reporting. We describe the features of SIMPL, its clinical validation at University of Chicago Medicine, and its installation and testing within a different academic center laboratory (University of Colorado), and we propose a platform for future community co-development and interlaboratory data sharing., (Copyright © 2018 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.)