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J-GLOBAL ID：202102226642033483   整理番号：21A3424367

循環C反応性蛋白質は肺癌リスクを増加させる: 英国バイオバンクの前向きコホートの結果【JST・京大機械翻訳】

Circulating C-reactive protein increases lung cancer risk: Results from a prospective cohort of UK Biobank

著者 (34件)： Ji Mengmeng (Department of Epidemiology, School of Public Health, Southeast University, Nanjing, China) ,  Ji Mengmeng (Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Du Lingbin (Department of Cancer Prevention, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China) ,  Du Lingbin (Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China) ,  Ma Zhimin (Department of Epidemiology, School of Public Health, Southeast University, Nanjing, China) ,  Ma Zhimin (Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Xie Junxing (Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Huang Yanqian (Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Wei Xiaoxia (Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Jiang Xiangxiang (Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Xu Jing (Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China) ,  Yin Rong (Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China) ,  Wang Yuzhuo (Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Wang Yuzhuo (Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China) ,  Dai Juncheng (Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Dai Juncheng (Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China) ,  Jin Guangfu (Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Jin Guangfu (Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China) ,  Xu Lin (Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China) ,  Zhu Chen (Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Zhu Chen (Department of Cancer Prevention, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China) ,  Zhu Chen (Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China) ,  Hu Zhibin (Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Hu Zhibin (Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China) ,  Ma Hongxia (Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Ma Hongxia (Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China) ,  Zhu Meng (Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Zhu Meng (Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China) ,  Zhu Meng (Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China) ,  Shen Hongbing (Department of Epidemiology, School of Public Health, Southeast University, Nanjing, China) ,  Shen Hongbing (Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Shen Hongbing (Department of Cancer Prevention, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China) ,  Shen Hongbing (Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China) ,  Shen Hongbing (Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing, China)
資料名： International Journal of Cancer  (International Journal of Cancer)
巻： 150  号： 1  ページ： 47-55  発行年： 2022年 
JST資料番号： A0267B  ISSN： 0020-7136  資料種別： 逐次刊行物 (A)
記事区分： 原著論文  発行国： アメリカ合衆国 (USA)  言語： 英語 (EN)

抄録/ポイント： 慢性炎症は肺癌の発症と関連する。本研究では,前向きコホート研究におけるC反応性蛋白質(CRP)と肺癌の間の関連を調べ,因果関係を明らかにするためにMendelianランダム化(MR)を使用した。分析における英国バイオバンク(UKB)からの420977人の参加者を含めた;1892人は経過観察中に肺癌と診断された。CRP濃度のハザード比(HRs)をCox比例ハザードモデルによって推定し,MR分析の2つの方法を実施した。さらに,著者らは,時間依存の受信者動作特性曲線分析を通して,その診断的役割を評価するために,肺癌の疫学的モデルにCRP濃度を加えた。CRPレベルの上昇は,1SD増加(HR=1.22,95%信頼区間[CI]=1.18~1.26)あたり,22%増加した肺癌リスクと関連していた。小さな細胞肺癌(HR=1.21,95%CI=1.10~11.33),肺腺癌(HR=1.17,95%CI=1.11~1.23)および肺扁平上皮癌(HR=1.22,95%CI=1.14~1.31)において正の相関が観察された。循環CRPレベルと肺癌リスクの遺伝的関連は,MR分析で観察されなかった。肺癌のリスクモデルに加えたとき,CRPは,現在の喫煙者の間で8年間(基本モデル:C-統計=0.78[95%CI=0.75~0.80];CRPモデル:C-統計=0.79[95%CI=0.76~0.81];P_non調整=0.003,P_調整=0.014)のモデルの性能を向上した。著者らの結果は,循環CRPと肺癌リスクの因果関係を支持しなかった。しかし,循環CRPは,現在の喫煙者のために8年間長く肺癌の診断前マーカーであった。Copyright 2021 Wiley Publishing Japan K.K. All rights reserved. Translated from English into Japanese by JST.【JST・京大機械翻訳】

シソーラス用語： 英国 ,  時間依存性 ,  *母集団 ,  *C反応性タンパク質 ,  *肺腫瘍 ,  前向きコホート研究
準シソーラス用語： 肺腺癌 ,  肺扁平上皮癌 ,  慢性炎症 ,  喫煙者 ,  *バイオバンク , 【Automatic Indexing@JST】

著者キーワード (5件)： C反応性蛋白質 ,  慢性炎症 ,  肺癌 ,  Mendelianランダム化 ,  前診断マーカー

分類 (2件)： 疫学  (GB03000E) ,  臨床腫よう学一般  (GE03010Y)

タイトルに関連する用語 (6件)： 循環 ,  C反応性蛋白質 ,  肺癌 ,  リスク ,  英国バイオバンク ,  コホート