title: Moving cancer diagnostics from bench to bedside.
abstract: To improve treatment and reduce the mortality from cancer, a key task is to detect the disease as early as possible. To achieve this, many new technologies have been developed for biomarker discovery and validation. This review provides an overview of omics technologies in biomarker discovery and cancer detection, and highlights recent applications and future trends in cancer diagnostics. Although the present omic methods are not ready for immediate clinical use as diagnostic tools, it can be envisaged that simple, fast, robust, portable and cost-effective clinical diagnosis systems could be available in near future, for home and bedside use.
authors.affiliation: College of Light Industry and Food Sciences, South China University of Technology, 381 Wushan Road, Guangzhou 510640, China. snow_dance@sina.com
authors.forename: Xuewu
authors.initials: X
authors.lastname: Zhang
authors.forename: Lin
authors.initials: L
authors.lastname: Li
authors.forename: Dong
authors.initials: D
authors.lastname: Wei
authors.forename: Yeeleng
authors.initials: Y
authors.lastname: Yap
authors.forename: Feng
authors.initials: F
authors.lastname: Chen
mesh_terms: D014408:Biomarkers, Tumor / Q000032:analysis*; D020869:Gene Expression Profiling / Q000639:trends; D006801:Humans; D008055:Lipids / Q000032:analysis*; D046228:Microarray Analysis / Q000639:trends*; D009363:Neoplasm Proteins / Q000032:analysis*; D009369:Neoplasms / Q000175:diagnosis* / Q000378:metabolism*; D011134:Polysaccharides / Q000032:analysis*
chemical_list: D014408:Biomarkers, Tumor; D008055:Lipids; D009363:Neoplasm Proteins; D011134:Polysaccharides