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Current and future opportunities for liquid biopsy of circulating biomarkers to aid in early cancer detection

Journal of Cancer Metastasis and Treatment 2022年第1期8卷 334-344页

作者： Susan H.Gawel Laurel Jackson Nicolette Jeanblanc Gerard J.Davis Abbott diagnostics Division Abbott LaboratoriesAbbott ParkIL 60064USA

Early diagnosis of cancer can significantly improve treatment and survival *** and tissue biopsy are the gold standard diagnostic approaches but are costly,invasive,and often unable to detect early-stage *** past decade has marked an acceleration in the discovery and development of liquid biopsy tests for aiding in the detection of various types of tumor markers in non-tissue samples,such as *** biopsy markers include circulating tumor cells,as well as tumor cell fragments,nucleic acids,and *** biopsy may be useful in screening patients considered to be at high risk of developing cancer,for refining diagnosis when combined with other test results,and for early detection of *** in big data analytics,informatics,and artificial intelligence will make it possible to combine patient history,clinical data,and liquid biopsy marker profiles to achieve more accurate and earlier *** this review,we summarize the current use of liquid biopsy in cancer care,including the development of multi-analyte panels to improve diagnostic accuracy and detect several cancer types in a single *** highlight recent advances for potential future applications of liquid biopsy to aid in the diagnosis of early-stage lung *** also discuss the opportunities and challenges of integrating liquid biopsy into current algorithms for cancer screening and diagnosis.

关键词： Cancer early detection diagnostic algorithm biomarkers blood serum analyte

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EARLY CATARACT DETECTION BY DYNAMIC LIGHT SCATTERING WITH SPARSE BAYESIAN LEARNING

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Journal of Innovative Optical Health Sciences 2009年第3期2卷 303-313页

作者： SU-LONG NYEO RAFAT R.ANSAR Department of Physics National Cheng Kung University TainanTaiwan 701ROC Bioscience and Technology Branch NASA Glenn Research Center at Lewis Field 21000 Brookpark Road ClevelandOH 44135USA

Dynamic light scattering(DLS)is a promising technique for early cataract detection and for studying cataractogenesis.A novel probabilistic analysis tool,the sparse Bayesian learning(SBL)algorithm,is described for reconstructing the most-probable size distribution ofα-crystallin and their aggregates in an ocular lens from the DLS *** performance of the algorithm is evaluated by analyzing simulated correlation data from known distributions and DLS data from the ocular lenses of a fetal calf,a Rhesus monkey,and a man,so as to establish the required efficiency of the SBL algorithm for clinical studies.

关键词： Cataract dynamic light scattering diagnostic algorithm sparse Bayesian learning(SBL).

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