Plasma lipids, tumor parameters and survival in HCC patients with HBV and HCV

Autor: Hikmet Akkiz, Rossella Donghia, Nazım Ekin, Engin Altintaş, Vito Guerra, Kendal Yalcin, Brian I. Carr, Halis Simsek, Ayşegül Özakyol, Ahmet Uyanikoglu, Anıl Delik, U Karaoğullarından, Ayhan Balkan, Hatice Yasemin Balaban
Rok vydání: 2021
Předmět:
Zdroj: Journal of translational science
ISSN: 2059-268X
DOI: 10.15761/jts.1000421
Popis: Introduction and aims Hepatocellular carcinoma (HCC) is a consequence of chronic liver disease, particularly from hepatitis B or C and increasingly from obesity and metabolic syndrome. Since lipids are an important component of cell membranes and are involved in cell signaling and tumor cell growth, we wished to evaluate the relationship between HCC patient plasma lipids and maximum tumor diameter and other indices of HCC human biology. Methods We examined prospectively-collected data from a multi-institutional collaborative Turkish HCC working group, from predominantly HBV-based patients, for plasma lipid profiles, consisting of triglycerides, total cholesterol, LDL-cholesterol (LDL) and HDL-cholesterol (HDL) and compared these with the associated patient maximum tumor diameter (MTD), portal vein thrombosis, alpha-fetoprotein (AFP) and also with patient survival. Results We found that both low HDL (p=0.0002) and high LDL (p=0.003) levels were significantly associated with increased MTD, as well as in a final multiple linear regression model on MTD. The combination of low HDL combined with high HDL levels were significant in a regression model on MTD, PVT and an HCC Aggressiveness Index (Odds Ratio 12.91 compared to an Odds Ratio of 1 for the reference). Furthermore, in a Cox regression model on death, the HDL plus LDL combination had a significantly higher Hazard Ratio than the reference category. Conclusions Low plasma HDL, high plasma LDL and especially the combination, were significantly related to more aggressive HCC phenotype and the combination was significantly related to a higher Hazard Ratio for death.
Databáze: OpenAIRE