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Risk of colon cancer in hereditary non-polyposis colorectal cancer patients as predicted by fuzzy modeling: Influence of smoking
引用本文:Brand RM,Jones DD,Lynch HT,Brand RE,Watson P,Ashwathnayaran R,Roy HK. Risk of colon cancer in hereditary non-polyposis colorectal cancer patients as predicted by fuzzy modeling: Influence of smoking[J]. World journal of gastroenterology : WJG, 2006, 12(28): 4485-4491. DOI: 10.3748/wjg.v12.i28.4485
作者姓名:Brand RM  Jones DD  Lynch HT  Brand RE  Watson P  Ashwathnayaran R  Roy HK
作者单位:Department of Internal Medicine Evanston Northwestern Healthcare and Feinberg School of Medicine at Northwestern University,Evanston IL,Uinted States,Department of Biological Systems Engineering,University of Nebraska-Lincoln,Lincoln NE,Uinted States,Hereditary Cancer Institute,Creighton University,Uinted States,Department of Internal Medicine,Evanston Northwestern Healthcare and Feinberg School of Medicine at Northwestern University,Evanston IL,Uinted States,Hereditary Cancer Institute,Creighton University,Uinted States,Hereditary Cancer Institute,Creighton University,Uinted States,Department of Internal Medicine,Evanston Northwestern Healthcare and Feinberg School of Medicine at Northwestern University,Evanston IL,Uinted States
摘    要:AIM: To investigate whether a fuzzy logic model could predict colorectal cancer (CRC) risk engendered by smoking in hereditary non-polyposis colorectal cancer (HNPCC) patients. METHODS: Three hundred and forty HNPCC mismatch repair (MMR) mutation carriers from the Creighton University Hereditary Cancer Institute Registry were selected for modeling. Age-dependent curves were generated to elucidate the joint effects between gene mutation (hMLH1 or hMSH2), gender, and smoking status on the probability of developing CRC. RESULTS: Smoking significantly increased CRC risk in male hMSH2 mutation carriers (P < 0.05). hMLHl mutations augmented CRC risk relative to hMSH2 mutation carriers for males (P < 0.05). Males had a significantly higher risk of CRC than females for hMLHl non smokers (P < 0.05), hMLHl smokers (P < 0.1) and hMSH2 smokers (P < 0.1). Smoking promoted CRC in a dose-dependent manner in hMSH2 in males (P < 0.05). Females with hMSH2 mutations and both sexes with the hMLHl groups only demonstrated a smoking effect after an extensive smoking history (P < 0.05). CONCLUSION: CRC promotion by smoking in HNPCC patients is dependent on gene mutation, gender and age. These data demonstrate that fuzzy modeling may enable formulation of clinical risk scores, thereby allowing individualization of CRC prevention strategies.

关 键 词:结肠癌  遗传因素  肠息肉  抽烟
收稿时间:2006-03-02

Risk of colon cancer in hereditary non-polyposis colorectal cancer patients as predicted by fuzzy modeling: Influence of smoking
Brand Rhonda M,Jones David D,Lynch Henry T,Brand Randall E,Watson Patrice,Ashwathnayaran Ramesh,Roy Hemant K. Risk of colon cancer in hereditary non-polyposis colorectal cancer patients as predicted by fuzzy modeling: Influence of smoking[J]. World journal of gastroenterology : WJG, 2006, 12(28): 4485-4491. DOI: 10.3748/wjg.v12.i28.4485
Authors:Brand Rhonda M  Jones David D  Lynch Henry T  Brand Randall E  Watson Patrice  Ashwathnayaran Ramesh  Roy Hemant K
Affiliation:1. Department of Internal Medicine, Evanston Northwestern Healthcare and Feinberg School of Medicine at Northwestern University, Evanston IL, Uinted States
2. Department of Biological Systems Engineering,University of Nebraska-Lincoln, Lincoln NE, Uinted States
3. Hereditary Cancer Institute, Creighton University, Uinted States
Abstract:AIM: To investigate whether a fuzzy logic model could predict colorectal cancer (CRC) risk engendered by smoking in hereditary non-polyposis colorectal cancer (HNPCC) patients. METHODS: Three hundred and forty HNPCC mismatch repair (MMR) mutation carriers from the Creighton University Hereditary Cancer Institute Registry were selected for modeling. Age-dependent curves were generated to elucidate the joint effects between gene mutation (hMLH1 or hMSH2), gender, and smoking status on the probability of developing CRC. RESULTS: Smoking significantly increased CRC risk in male hMSH2 mutation carriers (P < 0.05). hMLHl mutations augmented CRC risk relative to hMSH2 mutation carriers for males (P < 0.05). Males had a significantly higher risk of CRC than females for hMLHl non smokers (P < 0.05), hMLHl smokers (P < 0.1) and hMSH2 smokers (P < 0.1). Smoking promoted CRC in a dose-dependent manner in hMSH2 in males (P < 0.05). Females with hMSH2 mutations and both sexes with the hMLHl groups only demonstrated a smoking effect after an extensive smoking history (P < 0.05). CONCLUSION: CRC promotion by smoking in HNPCC patients is dependent on gene mutation, gender and age. These data demonstrate that fuzzy modeling may enable formulation of clinical risk scores, thereby allowing individualization of CRC prevention strategies.
Keywords:Hereditary non-polyposis colorectal cancer  Lynch syndrome  Smoking  Colorectal cancer  Fuzzy modeling  Risk assessment
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