HIGH THROUGHPUT PARALLEL AMPLICON SEQUENCING OF COMMON DRIVER MUTATIONS FROM FFPE LUNG CANCER SAMPLES IN MOLECULAR PATHOLOGICAL ROUTINE DIAGNOSTICS FOR A REGIONAL HEALTH CARE PROVIDER NETWORK

e12517 Background: Treatment paradigms for non–small-cell lung cancer have shifted from histology based towards incorporation of molecular subtypes involving particular genetic alterations such as mutations in EGFR or translocations of ALK. The list of targetable lesions is rapidly increasing including mutations in genes such as EGFR, HER2, KRAS, ALK, BRAF, PIK3CA, AKT1, ROS1, NRAS, FGFR1 and MAP2K1. Analysis of these potential targets is becoming a challenge in terms of work load, tissue availability as well as cost. Within the Network Genomic Medicine Lung Cancer (NGM), a regional molecular screening network of the Center for Integrated Oncology Koln Bonn, we aimed to improve the sequential analysis of a set of 9 target amplicons by Sanger sequencing using bench top ultra-deep parallel sequencing platforms. We aimed to reduce 1) the time requirement for comprehensive molecular diagnostics, 2) the minimal amount of formalin fixed paraffin embedded (FFPE) derived input DNA, 3) while at the same time incre...