2013
DOI: 10.3892/br.2013.158
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Research and clinical applications of molecular biomarkers in gastrointestinal carcinoma (Review)

Abstract: Gastrointestinal (GI) carcinoma is a common malignant disease worldwide. Its development and progression is a multistage process involving a multifactorial etiology. Although the detailed mechanisms of the development of GI carcinoma remain controversial, the elucidation of its molecular biology over the last few years has resulted in a better perspective on its epidemiology, carcinogenesis and pathogenesis. More significantly, it is currently possible to use biological indicators or biomarkers in differential… Show more

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Cited by 2 publications
(1 citation statement)
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References 121 publications
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“…[10][11][12][13] Epidemiological data suggest that diabetes increases the relative risk of digestive cancers more than twofold, 1 and type 2 diabetes mellitus is associated with more aggressive digestive tract cancers. 14 Universal screening using potential biomarkers such as cancer antigen 19-9, carcinoembryonic antigens, or clinical tests (eg, computed tomography, endoscopic ultrasound, or magnetic resonance imaging) is not feasible, [15][16][17] as the existing biomarkers have limited diagnostic accuracy. Therefore, there is an urgent clinical need for novel prediction models and screening methods that are both efficient and cost-effective for the detection of asymptomatic cases.…”
Section: Introductionmentioning
confidence: 99%
“…[10][11][12][13] Epidemiological data suggest that diabetes increases the relative risk of digestive cancers more than twofold, 1 and type 2 diabetes mellitus is associated with more aggressive digestive tract cancers. 14 Universal screening using potential biomarkers such as cancer antigen 19-9, carcinoembryonic antigens, or clinical tests (eg, computed tomography, endoscopic ultrasound, or magnetic resonance imaging) is not feasible, [15][16][17] as the existing biomarkers have limited diagnostic accuracy. Therefore, there is an urgent clinical need for novel prediction models and screening methods that are both efficient and cost-effective for the detection of asymptomatic cases.…”
Section: Introductionmentioning
confidence: 99%