AI Article Synopsis

  • - The study focuses on detecting important genetic markers (ALK, ROS1, RET, and MET Δ) in patients with non-small cell lung cancer (NSCLC) to guide specific kinase inhibitor treatments, utilizing multiplex technology for accurate results.
  • - Researchers employed nCounter, a technology that uses RNA hybridization to assess the presence of these markers in both cytological samples and biopsies, achieving higher evaluability in biopsies (90.9%) compared to cytological samples (75.0%).
  • - Findings revealed specific cases of ALK and MET positivity, with patients demonstrating varying responses to treatments: one patient with MET Δ had a partial response to tepotinib, while an ALK-positive patient achieved complete response with crizotin

Article Abstract

The detection of ALK receptor tyrosine kinase (ALK), ROS proto-oncogen1, receptor tyrosine kinase (ROS1), ret proto-oncogen (RET), and MET proto-oncogen exon 14 skipping (Δ) allows for the selection of specific kinase inhibitor treatment in patients with non-small cell lung cancer (NSCLC). Multiplex technologies are recommended in this setting. We used nCounter, a multiplexed technology based on RNA hybridization, to detect ALK, ROS1, RET, and Δ in RNA purified from cytological specimens ( = 16) and biopsies ( = 132). Twelve of the 16 cytological samples (75.0%) were evaluable by nCounter compared to 120 out of 132 (90.9%) biopsies. The geometrical mean (geomean) of the housekeeping genes of the nCounter panel, but not the total amount of RNA purified, was significantly higher in biopsies vs. cytological samples. Among cytological samples, we detected ALK ( = 3), ( = 1) and very high MET expression ( = 1) positive cases. The patient with Δ had a partial response to tepotinib, one of the patients with ALK fusions was treated with crizotinib with a complete response. Cell blocks and cytological extensions can be successfully used for the detection of fusions and splicing variants using RNA-based methods such as nCounter.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7824402PMC
http://dx.doi.org/10.3390/diagnostics11010015DOI Listing

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