2016
DOI: 10.1371/journal.pone.0146275
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Individualized Mutation Detection in Circulating Tumor DNA for Monitoring Colorectal Tumor Burden Using a Cancer-Associated Gene Sequencing Panel

Abstract: BackgroundCirculating tumor DNA (ctDNA) carries information on tumor burden. However, the mutation spectrum is different among tumors. This study was designed to examine the utility of ctDNA for monitoring tumor burden based on an individual mutation profile.MethodologyDNA was extracted from a total of 176 samples, including pre- and post-operational plasma, primary tumors, and peripheral blood mononuclear cells (PBMC), from 44 individuals with colorectal tumor who underwent curative resection of colorectal tu… Show more

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Cited by 42 publications
(28 citation statements)
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“…This sample and three other samples only showed mutations in loci not covered by the KRAS Screening Multiplex Kit used for ddPCR ( KRAS codon 61, BRAF and TP53 ). Nonetheless, we observed good agreement between ddPCR and NGS, which was also reported in other studies …”
Section: Discussionsupporting
confidence: 91%
“…This sample and three other samples only showed mutations in loci not covered by the KRAS Screening Multiplex Kit used for ddPCR ( KRAS codon 61, BRAF and TP53 ). Nonetheless, we observed good agreement between ddPCR and NGS, which was also reported in other studies …”
Section: Discussionsupporting
confidence: 91%
“…3, we detected high-frequency errors at a similar rate for all polymerases in 20 cycle PCR reactions in two independent experiments. These recurrent errors can reach a frequency of >0.1%, putting them in the sensitivity range of state-of-art assays for circulating tumor DNA detection 22 . Replicate experiments 23 are unfeasible in this scenario, and therefore appropriate PCR error models and other techniques such as the UMI approach should be used instead for ultra-deep sequencing.
Figure 3Recurrent high-frequency errors in two separate experiments.
…”
Section: Resultsmentioning
confidence: 99%
“…The selection of the proper mutation markers to be monitored in cfDNA is as yet unresolved. Sato et al[29] monitored preoperative and postoperative cfDNA levels based on a panel of 50 genes, using ddPCR; only markers with an allele frequency above 0.1% in plasma DNA correlated with the clinical course. Interestingly, cfDNA has also been shown to be useful in the early detection of relapse after metastasectomy of liver metastases, significantly outperforming both CEA and imaging in one study[30].…”
Section: Monitoring Minimal Residual Diseasementioning
confidence: 99%