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Individual having a parent with early-onset gastric cancer may need screening at younger age

World Journal of Gastroenterology 2015年第15期21卷 4592-4598页

作者： Hee-Won Kwak Il Ju Choi Chan Gyoo Kim Jong Yeul Lee Soo-Jeong Cho bang wool eom Hong Man Yoon Jungnam Joo Keun Won Ryu Young-Woo Kim Center for Gastric Cancer National Cancer Center Biometric Research Branch National Cancer Center

AIM: To evaluate whether individuals with gastric cancer(GC) are diagnosed earlier if they have firstdegree relatives with ***: A total of 4282 patients diagnosed with GC at National Cancer Center Hospital from 2002 to 2012 were enrolled in this retrospective study. We classified the patients according to presence or absence of first-degree family history of GC and compared age at diagnosis and clinicopathologic characteristics. In addition, we further classified patients according to specific family member with GC(father, mother, sibling, or offspring) and compared age at GC diagnosis among these patient groups. Baseline characteristics were obtained from a prospectively collected database. Information about the family member's age at GC diagnosis was obtained by ***: A total of 924 patients(21.6%) had a firstdegree family history of GC. The mean age at GC diagnosis in patients having paternal history of GC was 54.4 ± 10.4 years and was significantly younger than in those without a first-degree family history(58.1 ± 12.0 years, P < 0.001). However, this finding was not observed in patients who had an affected mother(57.2 ± 10.0 years) or sibling(62.2 ± 9.8 years). Among patients with family member having early-onset GC(< 50 years old), mean age at diagnosis was 47.7 ± 10.3 years for those with an affected father, 48.6 ± 10.4 years for those with an affected mother, and 57.4 ± 11.5 years for those with an affected sibling. Thus, patients with a parent diagnosed before 50 years of age developed GC 10.4 or 9.5 years earlier than individuals without a family history of GC(both P <0.001).CONCLUSION: Early-onset GC before age of 50 was associated with parental history of early-onset of GC. Individual having such family history need to start screening earlier.

关键词： Gastric cancer Family history Family member Age at diagnosis Screening

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Brain physiome:A concept bridging in vitro 3D brain models and in silico models for predicting drug toxicity in the brain

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Bioactive Materials 2022年第7期7卷 135-148页

作者： Yoojin Seo Seokyoung bang Jeongtae Son Dongsup Kim Yong Jeong Pilnam Kim Jihun Yang Joon-Ho eom Nakwon Choi Hong Nam Kim Brain Science Institute Korea Institute of Science and Technology(KIST)Seoul02792Republic of Korea Department of Bio and Brain Engineering Korea Advanced Institute of Science and Technology(KAIST)Daejeon34141Republic of Korea Next&Bio Inc. Seoul02841Republic of Korea Medical Device Research Division National Institute of Food and Drug Safety EvaluationCheongju28159Republic of Korea Division of Bio-Medical Science&Technology KIST SchoolKorea University of Science and Technology(UST)Seoul02792Republic of Korea KU-KIST Graduate School of Converging Science and Technology Korea UniversitySeoul02841Republic of Korea School of Mechanical Engineering Yonsei UniversitySeoul03722Republic of Korea Yonsei-KIST Convergence Research Institute Yonsei UniversitySeoul03722Republic of Korea

In the last few decades,adverse reactions to pharmaceuticals have been evaluated using 2D in vitro models and animal ***,with increasing computational power,and as the key drivers of cellular behavior have been identified,in silico models have *** models are time-efficient and cost-effective,but the prediction of adverse reactions to unknown drugs using these models requires relevant experimental ***,the physiome concept has emerged to bridge experimental datasets with in silico *** brain physiome describes the systemic interactions of its components,which are organized into a multilevel *** of the limitations in obtaining experimental data corresponding to each physiome component from 2D in vitro models and animal models,3D in vitro brain models,including brain organoids and brain-on-a-chip,have been *** this review,we present the concept of the brain physiome and its hierarchical organization,including cell-and tissue-level *** also summarize recently developed 3D in vitro brain models and link them with the elements of the brain physiome as a guideline for dataset *** connection between in vitro 3D brain models and in silico modeling will lead to the establishment of cost-effective and time-efficient in silico models for the prediction of the safety of unknown drugs.

关键词： Brain physiome In vitro 3D platform Brain organoid Brain-on-a-chip In silico model

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2001-2005年黔江区燃煤污染型地方性氟中毒监测结果分析

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热带医学杂志 2007年第2期7卷 175-177页

作者：晏维肖邦忠罗兴建廖文芳吴成果杨伟吴波重庆市疾病预防控制中心重庆400042 黔江区疾病预防控制中心重庆409000

目的了解和掌握近5年来黔江区以改炉改灶为主的综合性防治措施防治燃煤污染型地方性氟中毒的效果,为重庆市制定燃煤污染型地方性氟中毒防治措施提供科学依据。方法通过在黔江区监测点邻鄂镇(2001-2002年)、水田乡(2003-2005年)检查儿童... 详细信息

目的了解和掌握近5年来黔江区以改炉改灶为主的综合性防治措施防治燃煤污染型地方性氟中毒的效果,为重庆市制定燃煤污染型地方性氟中毒防治措施提供科学依据。方法通过在黔江区监测点邻鄂镇(2001-2002年)、水田乡(2003-2005年)检查儿童氟斑牙、炉灶使用情况,测定儿童尿氟、粮食氟含量,收集连续5年的资料,进行纵向比较。结果黔江区邻鄂镇与水田乡儿童氟斑牙检出率从41.08%下降到32.80%;儿童尿氟从1.42mg/L下降到0.58mg/L;玉米氟含量在2.74～5.85mg/L之间,辣椒氟含量在4.48～157.95mg/L之间,呈下降趋势;两个乡镇改炉率在59.75%～100%之间,改炉合格率在40.25%～100%之间,呈上升趋势;改灶率38.30%～100%之间,改炉合格率在38.36%～100%之间,呈上升趋势。结论采取以改炉改灶为主的综合性防治措施防治燃煤污染型地方性氟中毒后,儿童氟斑牙、尿氟、粮食氟等氟毒性效应指标得到了改善,提示我们应继续坚持前期的防治措施,并加强健康教育宣传工作,完善炉灶的管理制度。

关键词：燃煤污染型地方性氟中毒纵向监测

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