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M. Marginet



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    P1.01 - Advanced NSCLC (ID 757)

    • Event: WCLC 2017
    • Type: Poster Session with Presenters Present
    • Track: Advanced NSCLC
    • Presentations: 1
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      P1.01-075 - Simultaneous Multiplex Profiling of Gene Fusions, METe14 Mutations and Immune Genes in Advanced NSCLC by NCounter Technology (ID 9481)

      09:30 - 16:00  |  Author(s): M. Marginet

      • Abstract
      • Slides

      Background:
      Assessment of several immune-genes and tumor drivers is critical for individualized treatment of non-small cell lung cancer (NSCLC). We have previously demonstrated the ability of the transcript-based nCounter Technology for the detection of ALK, ROS1 and RET gene fusions, using a customized codeset (Reguart et al. Clinical Chemistry 2017). Here, we present the first results of the validation in advanced NSCLC samples of a new CodeSet designed to simultaneously characterize clinically relevant gene fusions, MET alterations and the expression of immune genes.

      Method:
      We have designed an in-house custom set to detect driver fusions involving 4 genes (ALK, ROS, RET, NTRK), MET exon 14 skipping mutation, MET overexpression and immune genes (PD1, PDL-1, CD4, CD8, FOXP3, GZMM, IFNG). A panel of ALK-ROS-RET-NTRK positive cell lines (H2228, H3122, SU-DHL-1, HCC78, BaF3 pBABE, LC2/ad and a NTRK-positive cell line), Hs746T (METex14), EBC-1 (overexpressing MET) and a negative cell line (PC9) were used for the initial validation of the panel. Subsequently, 58 FFPE samples from advanced NSCLC patients, previously characterized by FISH, RT-PCR and IHC, have been analyzed. Total amount of 100-150 ng RNA was used for detection. Workflow includes RNA isolation, hybridization and digital counting with for a total turnaround of 3 days. Raw counts were normalized using positive controls, negative controls and house-keeping genes.

      Result:
      .Results obtained with the cell lines positive for ALK, ROS1, RET and NTRK1 fusion genes were exactly coincident with their genotypes, with fusion transcripts successfully detected in all cases by 3’/5’ imbalance and direct fusion probes. In addition, METex14 splicing transcripts were detected in the Hs746T cells at significant levels, higher than those of wt MET mRNA. In contrast, METex14 mRNA counts were almost undetectable in the rest of cell lines. Regarding FFPE samples from advanced patients, 46 could be successfully analyzed by nCounter. Among 13 patients positive for ALK and ROS1 fusions, 12 were confirmed by nCounter. Regarding the METex14 splicing variant, 5 out of 6 patients previously detected by RT-PCR were also positive by nCounter.

      Conclusion:
      Preliminary data suggest that multiplex detection of clinically relevant drivers can be successfully achieved using nCounter Technology. The assay is simple, requires short hands-on-time, needs low input RNA and is highly efficient in detecting gene rearrangements and METex14 splicing variants. Results will be prospectively validated in a larger cohort of advanced NSCLC patients and we will determine if clusters of different inmune-phenotypes exist among oncogenic-driven NSCLC tumors.

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