Circulating Osteopontin and Prediction of Hepatocellular Carcinoma Development in a Large European Population.

循环骨桥蛋白与欧洲大型人群肝细胞癌发生发展预测的关系

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作者:Duarte-Salles Talita, Misra Sandeep, Stepien Magdalena, Plymoth Amelie, Muller David, Overvad Kim, Olsen Anja, Tjønneland Anne, Baglietto Laura, Severi Gianluca, Boutron-Ruault Marie-Christine, Turzanski-Fortner Renee, Kaaks Rudolf, Boeing Heiner, Aleksandrova Krasimira, Trichopoulou Antonia, Lagiou Pagona, Bamia Christina, Pala Valeria, Palli Domenico, Mattiello Amalia, Tumino Rosario, Naccarati Alessio, Bueno-de-Mesquita H B As, Peeters Petra H, Weiderpass Elisabete, Quirós J Ramón, Agudo Antonio, Sánchez-Cantalejo Emilio, Ardanaz Eva, Gavrila Diana, Dorronsoro Miren, Werner MÃ¥rten, Hemmingsson Oskar, Ohlsson Bodil, Sjöberg Klas, Wareham Nicholas J, Khaw Kay-Tee, Bradbury Kathryn E, Gunter Marc J, Cross Amanda J, Riboli Elio, Jenab Mazda, Hainaut Pierre, Beretta Laura
We previously identified osteopontin (OPN) as a promising marker for the early detection of hepatocellular carcinoma (HCC). In this study, we investigated the association between prediagnostic circulating OPN levels and HCC incidence in a large population-based cohort. A nested case-control study was conducted within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. During a mean follow-up of 4.8 years, 100 HCC cases were identified. Each case was matched to two controls and OPN levels were measured in baseline plasma samples. Viral hepatitis, liver function, and α-fetoprotein (AFP) tests were also conducted. Conditional logistic regression models were used to calculate multivariable odds ratio (OR) and 95% confidence intervals (95% CI) for OPN levels in relation to HCC. Receiver operating characteristics curves were constructed to determine the discriminatory accuracy of OPN alone or in combination with other liver biomarkers in the prediction of HCC. OPN levels were positively associated with HCC risk (per 10% increment, ORmultivariable = 1.30; 95% CI, 1.14-1.48). The association was stronger among cases diagnosed within 2 years of follow-up. Adding liver function tests to OPN improved the discriminatory performance for subjects who developed HCC (AUC = 0.86). For cases diagnosed within 2 years, the combination of OPN and AFP was best able to predict HCC risk (AUC = 0.88). The best predictive model for HCC in this low-risk population is OPN in combination with liver function tests. Within 2 years of diagnosis, the combination of OPN and AFP best predicted HCC development, suggesting that measuring OPN and AFP could identify high-risk groups independently of a liver disease diagnosis. Cancer Prev Res; 9(9); 758-65. ©2016 AACR.

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