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 Mårten, 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
Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France. Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, Spain.
Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Cancer Prev Res (Phila). 2016 Sep;9(9):758-65. doi: 10.1158/1940-6207.CAPR-15-0434. Epub 2016 Jun 23.
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.
我们之前将骨桥蛋白(OPN)鉴定为早期检测肝细胞癌(HCC)的一个有前景的标志物。在本研究中,我们在一个基于人群的大型队列中调查了诊断前循环OPN水平与HCC发病率之间的关联。在欧洲癌症与营养前瞻性调查(EPIC)队列中开展了一项巢式病例对照研究。在平均4.8年的随访期间,共识别出100例HCC病例。每例病例与两名对照进行匹配,并在基线血浆样本中测量OPN水平。还进行了病毒性肝炎、肝功能及甲胎蛋白(AFP)检测。采用条件逻辑回归模型计算与HCC相关的OPN水平的多变量比值比(OR)及95%置信区间(95%CI)。构建受试者工作特征曲线以确定单独的OPN或其与其他肝脏生物标志物联合在预测HCC方面的鉴别准确性。OPN水平与HCC风险呈正相关(每增加10%,多变量OR = 1.30;95%CI,1.14 - 1.48)。该关联在随访2年内诊断出的病例中更强。在OPN基础上增加肝功能检测可提高对发生HCC的受试者的鉴别性能(曲线下面积[AUC] = 0.86)。对于2年内诊断出的病例,OPN与AFP联合最能预测HCC风险(AUC = 0.88)。在这个低风险人群中,预测HCC的最佳模型是OPN与肝功能检测联合。在诊断后2年内,OPN与AFP联合最能预测HCC发生,这表明检测OPN和AFP可独立于肝病诊断识别高危人群。《癌症预防研究》;9(9);758 - 65。©2016美国癌症研究协会。