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• W2471782782 endingPage "e0159094" @default.
• W2471782782 startingPage "e0159094" @default.
• W2471782782 abstract "In cancer research, the accuracy of the technology used for biomarkers detection is remarkably important. In this context, digital PCR represents a highly sensitive and reproducible method that could serve as an appropriate tool for tumor mutational status analysis. In particular, droplet-based digital PCR approaches have been developed for detection of tumor-specific mutated alleles within plasmatic circulating DNA. Such an approach calls for the development and validation of a very significant quantity of assays, which can be extremely costly and time consuming. Herein, we evaluated assays for the detection and quantification of various mutations occurring in three genes often misregulated in cancers: the epidermal growth factor receptor (EGFR), the v-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog (KRAS) and the Tumoral Protein p53 (TP53) genes. In particular, commercial competitive allele-specific TaqMan® PCR (castPCR™) technology, as well as TaqMan® and ZEN™ assays, have been evaluated for EGFR p.L858R, p.T790M, p.L861Q point mutations and in-frame deletions Del19. Specificity and sensitivity have been determined on cell lines DNA, plasmatic circulating DNA of lung cancer patients or Horizon Diagnostics Reference Standards. To show the multiplexing capabilities of this technology, several multiplex panels for EGFR (several three- and four-plexes) have been developed, offering new ready-to-use tests for lung cancer patients." @default.
• W2471782782 created "2016-07-22" @default.
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• W2471782782 date "2016-07-14" @default.
• W2471782782 modified "2023-10-18" @default.
• W2471782782 title "Multiplex Detection of Rare Mutations by Picoliter Droplet Based Digital PCR: Sensitivity and Specificity Considerations" @default.
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• W2471782782 doi "https://doi.org/10.1371/journal.pone.0159094" @default.
• W2471782782 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4945036" @default.
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• W2471782782 hasPublicationYear "2016" @default.
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