2019
DOI: 10.3390/cancers11060805
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Bioinformatics Analysis for Circulating Cell-Free DNA in Cancer

Abstract: Molecular analysis of cell-free DNA (cfDNA) that circulates in plasma and other body fluids represents a “liquid biopsy” approach for non-invasive cancer screening or monitoring. The rapid development of sequencing technologies has made cfDNA a promising source to study cancer development and progression. Specific genetic and epigenetic alterations have been found in plasma, serum, and urine cfDNA and could potentially be used as diagnostic or prognostic biomarkers in various cancer types. In this review, we w… Show more

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Cited by 51 publications
(51 citation statements)
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“…Cell-free DNA (cfDNA) is shed into the bloodstream by cancer cells and nonmalignant cells trough apoptosis and necrosis of (tumor) cells and possibly also by active secretion [81]. CfDNA is found as double-stranded fragments of approximately 150 to 200 base pairs in length [82]. Molecules of cfDNA are rapidly cleared from the circulation, with a half-life ranging from minutes to several hours.…”
Section: Cell-free Dnamentioning
confidence: 99%
“…Cell-free DNA (cfDNA) is shed into the bloodstream by cancer cells and nonmalignant cells trough apoptosis and necrosis of (tumor) cells and possibly also by active secretion [81]. CfDNA is found as double-stranded fragments of approximately 150 to 200 base pairs in length [82]. Molecules of cfDNA are rapidly cleared from the circulation, with a half-life ranging from minutes to several hours.…”
Section: Cell-free Dnamentioning
confidence: 99%
“…Over the past decade, gene profiling and next-generation sequencing technology have emerged as indispensable tools for cancer studies because they allow the detection of cancer-related genetic and epigenetic alterations, such as mutations, copy number variations, and DNA methylation changes across more extensive genomic regions [15, 16]. The bioinformatics analysis of these data can provide valuable information for CCA research.…”
Section: Introductionmentioning
confidence: 99%
“…Increasing the coverage could improve the detection of low-abundant somatic mutations. Besides, several algorithms have been recently developed and they could be used to analyse WGS data of ccfDNA samples to improve the detection of somatic variants in the context of precision medicine 13,[45][46][47] .…”
Section: Discussionmentioning
confidence: 99%