2017
DOI: 10.1016/j.jhep.2017.03.005
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Circumventing intratumoral heterogeneity to identify potential therapeutic targets in hepatocellular carcinoma

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Cited by 88 publications
(110 citation statements)
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“…A major technical issue is the generally low sequencing coverage used for WES resulting in false-negative results for cfDNA variants present below the limit of detection. This is supported by the comparison of WES (coverage 226X) with targeted deep sequencing (coverage 1806X) on the same sample [5], demonstrating that some variants with low MAFs (< 5%) were detected by targeted deep sequencing only [5]. However, with the introduction of unique molecular identifiers and Elimination of Recurrent Artefacts and Stochastic Errors (ERASE-Seq) [42] discrimination of sequencing artefacts from true variants can be improved, enabling detection DNA variants at ultralow frequency.…”
Section: Discussionmentioning
confidence: 87%
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“…A major technical issue is the generally low sequencing coverage used for WES resulting in false-negative results for cfDNA variants present below the limit of detection. This is supported by the comparison of WES (coverage 226X) with targeted deep sequencing (coverage 1806X) on the same sample [5], demonstrating that some variants with low MAFs (< 5%) were detected by targeted deep sequencing only [5]. However, with the introduction of unique molecular identifiers and Elimination of Recurrent Artefacts and Stochastic Errors (ERASE-Seq) [42] discrimination of sequencing artefacts from true variants can be improved, enabling detection DNA variants at ultralow frequency.…”
Section: Discussionmentioning
confidence: 87%
“…Furthermore, SNVs indicated as subclonal in cfDNA might be of clonal origin in tumor tissue from other metastatic sites. Studies comparing cfDNA to multiple tumor region sampling support this hypothesis [5,25]. Huang et al found that nearly all exclusively detected SNVs in plasma by WES were also detected in tumor samples from different liver lesions using targeted deep sequencing (average 98.7%, range: 69.3-100%) [5].…”
Section: Discussionmentioning
confidence: 99%
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“…In addition to methylation-based assays of ctDNA, genetic alterations such as mutations, deletions, epigenetic changes can also be used as tumor biomarkers in HCC. Until recently, many studies have confirmed that tumor-specific mutations in TP53 [95], ITH [96], HCK [97], CTNNB1 and TERT [98] are common in the peripheral blood of patients with HCC. Jiang P et al [99] applied the established CAZA mathematical model to calculate CNVs in tumors by sequencing DNA.…”
Section: Introductionmentioning
confidence: 99%