Jieun Jang 1,2,3 , Seung Hyun Ma 1,2 , Kwang-Pil Ko 4 , Bo Yul Choi 5 , Keun-Young Yoo 1,6 , Sue K Park 7,2,3 Show Affiliations »
Abstract
BACKGROUND: Potential of hepatocyte growth factor (HGF)-stimulating signaling pathways related to cytotoxin-associated gene A (CagA) to predict gastric cancer development has not been fully investigated. METHODS: We conducted a nested case-control study consisting of 238 gastric cancer cases and 238 matched controls within the Korean Multicenter Cancer Cohort. Plasma HGF concentrations were measured with a human HGF ELISA. Odds ratios (OR) and 95% confidence intervals (CI) for gastric cancer development according to HGF level were calculated using conditional logistic regression model. RESULTS: Sequential elevation of gastric cancer risk according to HGF level increase was observed (OR, 10.99; 95% CI, 4.91-24.62) for highest quartile HGF (≥364 pg/mL) versus lowest quartile HGF (<167 pg/mL). A significantly increased gastric cancer risk associated with high HGF level measured even 6 or more years prior to cancer diagnosis was also found. The group with both high risk of HGF and CagA-related genetic variants was associated with highest gastric cancer risk compared with the group with both low risk of HGF and genetic variants (P interaction = 0.05). Model performance using HGF and CagA-related genetic variants to discriminate gastric cancer was fair [area under the curve of receiver operating characteristic (AUC-ROC), 0.71; 95% CI, 0.64-0.78] and significantly higher than that of model not including those biomarkers. CONCLUSIONS: Our results suggest HGF as a potential biomarker to predict gastric cancer development. IMPACT: These findings suggest HGF as a useful biomarker to predict gastric cancer risk. Further research to assess gastric cancer risk based on useful biomarkers, including HGF, may contribute to primary prevention of gastric cancer. ©2019 American Association for Cancer Research.
BACKGROUND: Potential of hepatocyte growth factor (HGF )-stimulating signaling pathways related to cytotoxin-associated gene A (CagA ) to predict gastric cancer development has not been fully investigated. METHODS: We conducted a nested case-control study consisting of 238 gastric cancer cases and 238 matched controls within the Korean Multicenter Cancer Cohort. Plasma HGF concentrations were measured with a human HGF ELISA. Odds ratios (OR) and 95% confidence intervals (CI) for gastric cancer development according to HGF level were calculated using conditional logistic regression model. RESULTS: Sequential elevation of gastric cancer risk according to HGF level increase was observed (OR, 10.99; 95% CI, 4.91-24.62) for highest quartile HGF (≥364 pg/mL) versus lowest quartile HGF (<167 pg/mL). A significantly increased gastric cancer risk associated with high HGF level measured even 6 or more years prior to cancer diagnosis was also found. The group with both high risk of HGF and CagA -related genetic variants was associated with highest gastric cancer risk compared with the group with both low risk of HGF and genetic variants (P interaction = 0.05). Model performance using HGF and CagA -related genetic variants to discriminate gastric cancer was fair [area under the curve of receiver operating characteristic (AUC-ROC), 0.71; 95% CI, 0.64-0.78] and significantly higher than that of model not including those biomarkers. CONCLUSIONS: Our results suggest HGF as a potential biomarker to predict gastric cancer development. IMPACT: These findings suggest HGF as a useful biomarker to predict gastric cancer risk. Further research to assess gastric cancer risk based on useful biomarkers, including HGF , may contribute to primary prevention of gastric cancer . ©2019 American Association for Cancer Research.
Entities: Disease
Gene
Species
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Year: 2019
PMID： 31740519 DOI： 10.1158/1055-9965.EPI-19-0436
Source DB: PubMed Journal: Cancer Epidemiol Biomarkers Prev ISSN： 1055-9965 Impact factor: 4.254