Abstract 2989: An all-in-one transcriptome-based assay to identify therapy-related biomarkers in lung cancer

Abstract

Abstract Background. In the past decade, treatment of advanced stage lung cancer patients guided by somatic aberrations has become routine practice. Different molecular tests are being applied to detect all targetable mutations and fusions. However, in most cases tissue biopsies are small, hampering multiple independent diagnostic tests. To optimize diagnostic testing we developed an all-in-one transcriptome-based assay. Methods. We have developed a targeted next generation sequencing protocol that uses total RNA as input and is based on the Single Primed enrichment Technology (SPET). We included 11 cell lines, four frozen biopsies, 12 pleural effusion samples and 32 FFPE samples with in total 41 known mutations (including EGFR n=15; KRAS n=11; BRAF n=2; PIK3CA n=3 ), 21 fusion genes (including ALK n=15; ROS n=3) and 3 cases of MET exon14 skipping. Results. We confirmed presence of 32 out of 41 mutations, 19 out of 23 fusions and all three cases of exon skipping by our assay. Besides confirming the fusions, we were also able to identify the fusion gene partner for all detected fusion transcripts. For the samples for which we failed to detect the mutations or fusions, the read depth of the target region was less than four, indicating low expression, low tumor content or insufficient unique reads. Independent RNA-based ddPCR on six unconfirmed mutations were all positive, albeit with low numbers of mutant droplets in some cases. One of three undetected fusions was positive in a NanoString fusion gene detection assay. For one of two negative cases, the fusion was most likely false positive by FISH, as this patient was FISH-break positive for both ALK and RET, which is never reported before. Conclusions. This study proved feasibility of this targeted all-in-one transcriptome-based assay for simultaneous detection of mutations and fusions even in relatively small FFPE tissue biopsies. Moreover, we were able to detect the fusion partner genes in all positive cases. We expect that for routine diagnostic testing using an enrichment for tumor cell-rich areas of recently prepared FFPE blocks, the success rate of the all-in-one transcriptome approach will reach similar sensitivity as currently used diagnostic tests. Citation Format: Klaas Kok, Jiacong Wei, Anna A. Rybczynska, Pei Meng, Martijn M. Terpstra, Anthonie J. van der Wekken, Jeroen T. Hiltermann, Ed Schuuring, Harry J. Groen, Anke van den Berg. An all-in-one transcriptome-based assay to identify therapy-related biomarkers in lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 2989.