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Hepatocyte Growth Factor in Blood and Gastric Cancer Risk: A Nested Case-Control Study

Authors
Jang, JieunMa, Seung HyunKo, Kwang-PilChoi, Bo YulYoo, Keun-YoungPark, Sue K.
Issue Date
Feb-2020
Publisher
AMER ASSOC CANCER RESEARCH
Citation
CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, v.29, no.2, pp.470 - 476
Indexed
SCIE
SCOPUS
Journal Title
CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
Volume
29
Number
2
Start Page
470
End Page
476
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/146276
DOI
10.1158/1055-9965.EPI-19-0436
ISSN
1055-9965
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 (Pinteraction = 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.
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