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

Authors :
Laura Beretta
Pierre Hainaut
Mazda Jenab
Elio Riboli
Amanda J. Cross
Marc J. Gunter
Kathryn E. Bradbury
Kay-Tee Khaw
Nicholas J. Wareham
Klas Sjöberg
Bodil Ohlsson
Oskar Hemmingsson
Mårten Werner
Miren Dorronsoro
Diana Gavrila
Eva Ardanaz
Emilio Sánchez-Cantalejo
Antonio Agudo
J. Ramón Quirós
Elisabete Weiderpass
Petra H. Peeters
H.B(as). Bueno-de-Mesquita
Alessio Naccarati
Rosario Tumino
Amalia Mattiello
Domenico Palli
Valeria Pala
Christina Bamia
Pagona Lagiou
Antonia Trichopoulou
Krasimira Aleksandrova
Heiner Boeing
Rudolf Kaaks
Renee Turzanski-Fortner
Marie-Christine Boutron-Ruault
Gianluca Severi
Laura Baglietto
Anne Tjønneland
Anja Olsen
Kim Overvad
David Muller
Amelie Plymoth
Magdalena Stepien
Sandeep Misra
Talita Duarte-Salles
Publication Year :
2023
Publisher :
American Association for Cancer Research (AACR), 2023.

Abstract

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.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........eb52b177829b4c20515eab4f6906664e