2019
DOI: 10.1016/j.oraloncology.2019.07.005
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Exome sequencing of oral leukoplakia and oral squamous cell carcinoma implicates DNA damage repair gene defects in malignant transformation

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Cited by 44 publications
(46 citation statements)
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“…This has been performed in oesophageal SCC where mutational profiles were compared between matched sets of pre-malignant lesions and their matching SCCs, as well as with dysplastic samples from patients without cancer 34. More recently, we have shown that exomic sequencing of dysplastic and non-dysplastic leukoplakia has demonstrated that progressive leukoplakia can be differentiated from non-progressive leukoplakia using the frequency of exomic variants, particularly in DNA damage repair pathway genes, implicating the Fanconi anemia/BRCA double-strand break pathway in malignant transformation of OED to OSCC 35. A greater understanding of the molecular pathways involved in oral carcinogenesis would also allow for more effective and personalised treatment of potentially malignant lesions such as OLK.…”
mentioning
confidence: 99%
“…This has been performed in oesophageal SCC where mutational profiles were compared between matched sets of pre-malignant lesions and their matching SCCs, as well as with dysplastic samples from patients without cancer 34. More recently, we have shown that exomic sequencing of dysplastic and non-dysplastic leukoplakia has demonstrated that progressive leukoplakia can be differentiated from non-progressive leukoplakia using the frequency of exomic variants, particularly in DNA damage repair pathway genes, implicating the Fanconi anemia/BRCA double-strand break pathway in malignant transformation of OED to OSCC 35. A greater understanding of the molecular pathways involved in oral carcinogenesis would also allow for more effective and personalised treatment of potentially malignant lesions such as OLK.…”
mentioning
confidence: 99%
“…Some studies analysed multiple candidate biomarkers, and collectively, the 54 studies identified 109 unique biomarkers (Table 2) representing a range of biological categories, including transmembrane receptors, transporters, growth factors and enzymes among others. Biomarkers were stratified by hallmarks of cancer (Farah et al., 2019) and were generally categorized as follows: Stem cell markers (e.g. ABCG2, BMI‐1, ALDH1, CD133, SNAI1, Axin2), cellular adhesion and migration markers (e.g.…”
Section: Resultsmentioning
confidence: 99%
“…Achievement of risk stratification and precision approaches for OL and PVL management potentially lies in biomarker discovery. While stratifying biomarkers according to the hallmarks of cancer (Farah et al., 2019), this current systematic review focused specifically on retrospective studies incorporating a longitudinal study design to assess the evidence to support a potential role for application of prognostic biomarkers to stratify risk prediction for MT‐OL and MT‐PVL. Each hallmark included multiple biomarker candidates, further complicating distillation of appropriate biomarkers for MT‐OL and MT‐PVL.…”
Section: Discussionmentioning
confidence: 99%
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