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6-Color Crystal Digital PCRTM for the High-Plex Detection of EGFR Mutations in Non-Small Cell Lung Cancer

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Lung Cancer

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2279))

Abstract

The profiling of EGFR mutations, the most common genetic alterations in non-small cell lung cancer (NSCLC) predictive of targeted therapy efficacy, is crucial to anticipate the patient response to EGFR tyrosine kinase inhibitors. Here, we introduce the naica® system for 6-color Crystal Digital PCRTM and describe in detail a standardized workflow for the multiplexed, single-assay detection of the 19 most prevalent sensitizing and resistance EGFR mutations in both tumor and circulating tumor DNA (ctDNA) samples. Two major advantages of the 6-color multiplexing system over current digital PCR systems are the rapid time to results, and the large quantity of mutational information obtained per patient sample, rendering the 6-color system highly cost effective. The 6-color Crystal Digital PCRTM technology enables highly sensitive and efficient therapeutic monitoring through liquid biopsy, resulting in the early detection of treatment resistance. While the assay presented here specifically addresses EGFR mutation status monitoring in NSCLC patients, 6-color Crystal Digital PCRTM assays are flexible and evolutive in design. As such, 6-color detection assays can be optimized to monitor mutations associated with a range of cancers and other genetic diseases, as well as to detect genetic changes beyond the oncology and human health domains.

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Correspondence to Allison C. Mallory .

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Madic, J., Jovelet, C., Dehri, I., Mallory, A.C. (2021). 6-Color Crystal Digital PCRTM for the High-Plex Detection of EGFR Mutations in Non-Small Cell Lung Cancer. In: Santiago-Cardona, P.G. (eds) Lung Cancer. Methods in Molecular Biology, vol 2279. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1278-1_10

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  • DOI: https://doi.org/10.1007/978-1-0716-1278-1_10

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-1277-4

  • Online ISBN: 978-1-0716-1278-1

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