| Literature DB >> 32475354 |
Shou-Sheng Liu1,2, Xue-Feng Ma3, Jie Zhao4, Shui-Xian Du3, Jie Zhang3, Meng-Zhen Dong3, Yong-Ning Xin5,6.
Abstract
BACKGROUND: NAFLD is tightly associated with various diseases such as diabetes, cardiovascular disease, kidney disease, and cancer. Previous studies had investigated the association between NAFLD and various extrahepatic cancers, but the available data to date is not conclusive. The aim of this study was to investigate the association between NAFLD and various extrahepatic cancers comprehensively.Entities:
Keywords: Breast cancer; Cholangiocarcinoma; Colorectal cancer; Extrahepatic cancer; Gastric cancer; Nonalcoholic fatty liver disease
Mesh:
Year: 2020 PMID: 32475354 PMCID: PMC7262754 DOI: 10.1186/s12944-020-01288-6
Source DB: PubMed Journal: Lipids Health Dis ISSN: 1476-511X Impact factor: 3.876
Fig. 1Flow chart of the literature search process conducted
Summarization of the relationship between NAFLD and all kinds of extrahepatic cancers
| Gastrointestinal cancers | |||||
| Colorectal cancer | 10 | 1.72 | 1.40–2.11 | 83.50% | < 0.01 |
| Colorectal adenomas | 9 | 1.37 | 1.29–1.46 | 49.40% | 0.045 |
| Cholangiocarcinoma | |||||
| Intrahepatic cholangiocarcinoma | 6 | 2.46 | 1.77–3.44 | 72.60% | 0.003 |
| Extrahepatic cholangiocarcinoma | 4 | 2.24 | 1.58–3.17 | 68.04% | 0.023 |
| Breast cancer | 4 | 1.69 | 1.44–1.99 | 0.00% | 0.727 |
| Gastric cancer | 3 | 1.74 | 1.03–2.95 | 73.60% | 0.010 |
| Pancreatic cancer | 3 | 2.12 | 1.58–2.83 | 0.00% | 0.476 |
| Prostate cancer | 3 | 1.36 | 1.03–1.79 | 81.90% | 0.001 |
| Esophageal cancer | 2 | 1.77 | 1.19–2.62 | 0.00% | 0.983 |
Abbreviation: OR odds ratio, HR hazard ratio, IRR incidence rate ratio, CI confidence interval
Summary studies for the association between NAFLD and colorectal adenomas or colorectal cancer
| Chen et al. 2018 [ | China | 764 | Ultrasonography | Community | 2014–2016 | Cross-sectional | Colonoscopy | Age, sex, smoking, alcohol intake, metabolic syndrome | Good |
| Ahn et al. 2017 [ | South Korea | 26,540 | Ultrasonography | Community | 2003–2012 | Cross-sectional | Histology | Age, sex, BMI, smoking, alcohol intake, first degree family history of colorectal cancer, aspirin use, fasting plasma glucose, total cholesterol, triglycerides, systolic blood pressure, use of any hypoglycemic, anti-hypertensive drugs or use of statin | Good |
| Chen et al. 2017 [ | China | 3686 | Ultrasonography | Hospital | 2007–2014 | Cross-sectional | Endoscopy | Age, CEA, stage, tumor location, and tumor differentiation | Good |
| Pan et al. 2017 [ | China | 1793 | Ultrasonography | Community | 2011–2015 | Cross-sectional | Colonoscopy | Age, sex, ALT, uric acid, metabolic syndrome | Good |
| Lee et al. 2016 [ | South Korea | 44,221 | Ultrasonography | Community | 2010–2011 | Cross-sectional | Colonoscopy | Age, sex, BMI, smoking, family history of colorectal cancer, aspirin use, hypertension, diabetes mellitus | Good |
| Lin et al. 2014 [ | China | 2314 | Ultrasonography | Hospital | 2007–2011 | Cross-sectional | Colonoscopy | Age, sex, BMI, hypertension, plasma triglycerides, uric acid, ALT, albumin, hemoglobin, platelet count | Fair |
| Wong et al. 2011 [ | China | 380 | 1H-MRS/Liver biopsy | Community/Hospital | 2008–2010 | Cross-sectional | Colonoscopy | Age, sex, BMI, smoking, family history of colorectal cancer, hypertension, diabetes mellitus | Good |
| Stadlmayr et al. 2011 [ | Austria | 1211 | Ultrasonography | Hospital | 2007–2009 | Cross-sectional | Colonoscopy | Age, sex, BMI, glucose intolerance status (impaired fasting glycaemia or diabetes mellitus) | Good |
| Hwang et al. 2010 [ | South Korea | 2917 | Ultrasonography | Hospital | 2007 | Cross-sectional | Colonoscopy | Age, sex, smoking, hypertension, diabetes mellitus, metabolic syndrome | Good |
| Allen et al. 2019 [ | USA | 276 | HCIDA/ICD-9 | Community | 1997–2016 | Cohort | ICD-9 | NA | Good |
| Hamaguchi et al. 2019 [ | Japan | 15,926 | Ultrasonography | Community | 2004–2016 | Cohort | Endoscopy | Sex, age and lifestyle factors including smoking habits, alcoholic consumption and physical activities and diabetes | Good |
| Kim et al. 2017 [ | South Korea | NA | Ultrasonography | Community | 2004–2005 | Cohort | Pathology | Demographic and metabolic factors | Good |
| Yang et al. 2017 [ | South Korea | 882 | Ultrasonography/ computed tomography | Hospital | 2009–2013 | Cohort | Colonoscopy | Age, sex, smoking, hypertension, diabetes mellitus, use of aspirin or lipid-lowering agents; imaging for diagnosis of NAFLD | Fair |
| Huang et al. 2013 [ | South Korea | 1522 | Ultrasonography | Hospital | 2003–2010 | Cohort | Colonoscopy | Age, sex, BMI, smoking, hypertension, diabetes mellitus, metabolic syndrome | Fair |
| Lee et al. 2012 [ | South Korea | 5517 | Ultrasonography | Hospital | 2002–2006 | Cohort | Colonoscopy | Age, BMI, smoking, hypertension, dyslipidemia, fasting glucose level | Fair |
Abbreviation: HICDA Hospital International Classification of Diseases Adapted, ICD International Classification of Diseases
Fig. 2Meta-analysis of the association between nonalcoholic fatty liver disease (NAFLD) and colorectal cancer or colorectal adenomas. Forest plots are shown for colorectal cancer (a) and colorectal adenomas (b)
Fig. 4Begger’s funnel plots for publication bias are shown for colorectal cancer (a), colorectal adenomas (b), and intrahepatic cholangiocarcinomas (ICC) (c)
Summary studies for the association between NAFLD and cholangiocarcinoma and breast cancer
| Petrick et al. 2017 [ | US | 328,688 | ICD-9 | Community | 2000–2011 | Case-control | ICD-9 | Age, race/ethnicity, geographic region, and state buy-in status | Good |
| Choi et al. 2016 [ | US | 7164 | Histology/Imaging | Hospital | 2000–2014 | Case-control | ICD-9 | The differences in frequencies of aspirin current users | Good |
| Kinoshita et al. 2016 [ | Japan | 103 | Histology | Hospital | 1995–2014 | Case-control | Pathology | NA | Fair |
| Stepien et al. 2016 [ | Europe | 495 | Hepatic steatosis index | Community | 1992–2000 | Case-control | ICD-9 | Smoking status, baseline, lifetime alcohol intake pattern, body mass index, physical activity, hepatitis B, C infection, diabetes status, CRP | Good |
| Lee et al. 2015 [ | South Korea | 243 | Histology/Imaging | Hospital | 2007–2013 | Case-control | Pathology | NA | Good |
| Chang et al. 2013 [ | China | 25,785 | ICD-9 | Community | 2004–2008 | Case-control | ICD-9 | Possible intermediate factors | Fair |
| Welzel et al. 2007 [ | US | 103,866 | ICD-9 | Community | 1999–2009 | Case-control | ICD-9 | NA | Fair |
| Allen et al. 2019 [ | USA | 676 | ICD-9 | Community | 1997–2016 | Cohort | ICD-9 | NA | Good |
| Kim et al. 2017 [ | Korea | NA | Ultrasonography | Community | 2004–2005 | Cohort | Pathology radiology | Demographic and metabolic factors | Good |
| Nseir et al. 2017 [ | Israel | 146 | Ultrasonography | Community | 2008–2011 | Cohort | Ultrasonography | NA | Good |
| Kwak et al. 2019 [ | USA | 540 | Ultrasonography. | Community | 2008–2017 | Case-control | Ultrasonography | NA | Good |
Abbreviation: ICD International Classification of Diseases
Fig. 3Meta-analysis of the association between nonalcoholic fatty liver disease (NAFLD) and cholangioarcinomas. Forest plots are shown for intrahepatic cholangiocarcinomas (ICC) (a) and extrahepatic cholangiocarcinomas (ECC) (b)