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Poster Display Session (ID 63)
- Event: ELCC 2017
- Type: Poster Display Session
- Presentations: 1
- Coordinates: 5/07/2017, 12:30 - 13:00, Hall 1
124P - Driverless lung carcinoma: Impact of expanded RNA and protein-based testing on detection of actionable biomarkers (ID 396)
12:30 - 13:00 | Author(s): J. Xiu
In recent years, massively parallel-gene sequencing (NGS) has improved the detection of targetable mutations in lung cancer (NSCLC). We have identified NSCLC cases that, despite extensive DNA sequencing and targeted in-situ hybridizations (ISH) for ROS1, ALK and cMET alterations, have no druggable target or conventional lung cancer pathogenic mutation identified ("driverless" cancer). Expanded platform testing (RNA and protein-based) was performed on these driverless cases in order to assess the ability of these technologies to identify actionable drug targets.
A review of 522 NSCLC cases (Caris Life Sciences, Phoenix, AZ) tested with NGS (592 gene sequencing panel, Agilent SureSelectXT; Illumina NextSeq) and ISH yielded 21 patients (F:M=12:9) without characteristic genetic alterations. Expanded testing included an RNA-based fusion panel (52 genes, Archer FusionPlex) and protein-expression (IHC) testing for EGFR, TS and PD-L1.
Expanded platform profiling identified targetable NTRK gene fusions (NTRK3:ETV6 and NTRK1:TPM3) in 2 cases and c-MET exon 14 skipping in 1 case. IHC identified PD-L1 expression in 7 (3 low and 4 high TPS), EGFR over-expression (H-score>200) in 7, and TS under expression in 13 cases. Initial NGS panel identified 2 low allele frequency pathogenic mutations (PIK3CA and GNAS), and 3 gene amplifications (MDM2, CDK4 and CDKN2A), as potential non-characteristic drivers in 4 cases. Total mutational load (TML) range was 1-10/Mb (mean 5.2/Mb).
With the routine use of NGS a small proportion of cases (4.2%) remain without standard biomarker-guided therapy recommendation. They are characterized by a lower TML (5.2/Mb) than reported for NSCLC (e.g. TCGA mean: 8.9/Mb). A significant benefit from expanded multiplatform testing (RNA- and protein-based) included detection of biomarkers for immune check point inhibitors (33% eligible) and targeted therapies (23% eligible: NTRK and c-Met inhibitors). Over-expression of EGFR and under expression of TS (57% and 72%. respectively) could provide additional information for therapy guidance in specific cancer types.
Clinical trial identification:
Legal entity responsible for the study:
Caris Life Sciences
Caris Life Sciences
Z. Gatalica, A. Voss: Employment: Caris Life Sciences. J. Xiu, W. Chen, T. Maney: Employment: Caris LIfe Sciences. All other authors have declared no conflicts of interest.