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Mixed neuroendocrine-non-neuroendocrine neoplasms of the digestive system:A mini-review

World Journal of Gastroenterology 2022年第19期28卷 2076-2087页

作者： Deepak Toor Jonathan M Loree Zu-Hua Gao Gang Wang Chen Zhou Department of Pathology and Laboratory Medicine BC CancerVancouver V5Z 1H5Canada Department of Pathology and Laboratory Medicine University of British ColumbiaVancouver V5Z 1H5Canada Department of Medicine BC CancerVancouver V5Z 4E6Canada

Mixed neuroendocrine-non-neuroendocrine neoplasms(MiNENs)are rare mixed tumors containing both neuroendocrine(NE)and non-NE *** component must occupy at least 30%of the tumor volume by *** molecular evidence suggests MiNENs are clonal neoplasms and potentially harbor targetable mutations similar to conventional *** have been multiple changes in the nomenclature and classification of MiNENs which has created some confusion among pathologists on how to integrate the contributions of each component in a MiNEN,an issue which in turn has resulted in confusion in communication with front-line treating *** mini review summarizes our current understanding of MiNENs and outline diagnosis,prognosis,and management of these *** authors emphasize the importance of treating the most aggressive component of the tumor regardless of its percentage volume.

关键词： Mixed neuroendocrine non-neuroendocrine neoplasms Mixed adenoneuorendocrine carcinoma Mixed neuroendocrine neoplasms Neuroendocrine Non-neuroendocrine

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Application of Big Data analysis in gastrointestinal research

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World Journal of Gastroenterology 2019年第24期25卷 2990-3008页

作者： Ka-Shing Cheung Wai K Leung Wai-Kay Seto Department of Medicine The University of Hong KongQueen Mary HospitalHong KongChina Department of Medicine The University of Hong Kong- Shenzhen HospitalShenzhen 518053Guangdong ProvinceChina

Big Data,which are characterized by certain unique traits like volume,velocity and value,have revolutionized the research of multiple fields including *** Data in health care are defined as large datasets that are collected routinely or automatically,and stored *** the rapidly expanding volume of health data collection,it is envisioned that the Big Data approach can improve not only individual health,but also the performance of health care *** application of Big Data analysis in the field of gastroenterology and hepatology research has also opened new research *** it retains most of the advantages and avoids some of the disadvantages of traditional observational studies(case-control and prospective cohort studies),it allows for phenomapping of disease heterogeneity,enhancement of drug safety,as well as development of precision medicine,prediction models and personalized *** randomized controlled trials,it reflects the real-world situation and studies patients who are often under-represented in randomized controlled ***,residual and/or unmeasured confounding remains a major concern,which requires meticulous study design and various statistical adjustment *** potential drawbacks include data validity,missing data,incomplete data capture due to the unavailability of diagnosis codes for certain clinical situations,and individual *** continuous technological advances,some of the current limitations with Big Data may be further *** review will illustrate the use of Big Data research on gastrointestinal and liver diseases using recently published examples.

关键词： Healthcare dataset Epidemiology Gastric cancer Inflammatory bowel disease Colorectal cancer Hepatocellular carcinoma Gastrointestinal bleeding

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