scholarly journals Low-density lipoprotein decorated silica nanoparticles co-delivering sorafenib and doxorubicin for effective treatment of hepatocellular carcinoma

Drug Delivery ◽  
2018 ◽  
Vol 25 (1) ◽  
pp. 2007-2014 ◽  
Author(s):  
Junfeng Ye ◽  
Ruoyan Zhang ◽  
Wengang Chai ◽  
Xiaohong Du
Keyword(s):  
Hepatocellular Carcinoma ◽  
Effective Treatment ◽  
Silica Nanoparticles ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Low Density

scholarly journals Low-density lipoprotein docosahexaenoic acid nanoparticles induce ferroptotic cell death in hepatocellular carcinoma

2017 ◽  
Vol 112 ◽  
pp. 597-607 ◽  
Author(s):  
Weijun Ou ◽  
Rohit S. Mulik ◽  
Arnida Anwar ◽  
Jeffrey G. McDonald ◽  
Xiaoshun He ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cell Death ◽  
Docosahexaenoic Acid ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Low Density

scholarly journals The Application Value of Lipoprotein Particle Numbers in the Diagnosis of HBV-Related Hepatocellular Carcinoma with BCLC Stage 0-A

2021 ◽  
Vol 11 (11) ◽  
pp. 1143
Author(s):  
Duo Zuo ◽  
Haohua An ◽  
Jianhua Li ◽  
Jiawei Xiao ◽  
Li Ren
Keyword(s):  
Hepatocellular Carcinoma ◽  
Lipid Metabolism ◽  
Prediction Models ◽  
Low Density Lipoprotein ◽  
Prognostic Significance ◽  
Density Lipoprotein ◽  
Serum Lipoprotein ◽  
Low Density ◽  
Clinical Value ◽  
Lipoprotein Subfractions

Early diagnosis is essential for improving the prognosis and survival of patients with hepatocellular carcinoma (HCC). This study aims to explore the clinical value of lipoprotein subfractions in the diagnosis of hepatitis B virus (HBV)-related HCC. Lipoprotein subfractions were detected by 1H-NMR spectroscopy, and the pattern-recognition method and binary logistic regression were performed to classify distinct serum profiles and construct prediction models for HCC diagnosis. Differentially expressed proteins associated with lipid metabolism were detected by LC-MS/MS, and the potential prognostic significance of the mRNA expression was evaluated by Kaplan–Meier survival analysis. The diagnostic panel constructed from the serum particle number of very-low-density lipoprotein (VLDL), intermediate-density lipoprotein (IDL), and low-density lipoprotein (LDL-1~LDL-6) achieved higher accuracy for the diagnosis of HBV-related HCC and HBV-related benign liver disease (LD) than that constructed from serum alpha-fetoprotein (AFP) alone in the training set (AUC: 0.850 vs. AUC: 0.831) and validation set (AUC: 0.926 vs. AUC: 0.833). Furthermore, the panel achieved good diagnostic performance in distinguishing AFP-negative HCC from AFP-negative LD (AUC: 0.773). We also found that lipoprotein lipase (LPL) transcript levels showed a significant increase in cancerous tissue and that high expression was significantly positively correlated with the poor prognosis of patients. Our research provides new insight for the development of diagnostic biomarkers for HCC, and abnormal lipid metabolism and LPL-mediated abnormal serum lipoprotein metabolism may be important factors in promoting HCC development.

Prognostic Significance of Globulin/Low-Density Lipoprotein Ratio In Patients With Hepatocellular Carcinoma After Local Ablative Therapy

2021 ◽  
Author(s):  
Wenying Qiao ◽  
Qi Wang ◽  
Jianjun Li ◽  
Chunwang Yuan ◽  
Dandan Guo ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Tumor Size ◽  
Low Density Lipoprotein ◽  
Prognostic Significance ◽  
Density Lipoprotein ◽  
Low Density ◽  
Operating Characteristics ◽  
Tumor Number ◽  
Receiver Operating

Abstract Background: Low-density lipoprotein (LDL) and globulin have been found to be predictors for some malignant tumors, but their predictive value in hepatocellular carcinoma (HCC) has hardly to be elucidated. This study assessed the prognostic significance of globulin to low-density lipoprotein ratio (GLR) in HCC patients before ablation.Materials and methods: This study analyzed 312 HCC patients hospitalized and underwent ablative treatment in Beijing You 'an Hospital, Capital Medical University, from January 1, 2012 to January 1, 2017. Cox regression analysis was used to assess the factors independently associated with recurrence and survival. The optimal cut-off value and prognostic role of GLR and other markers were evaluated via the receiver operating characteristic-ROC curves and the Youden index. Overall survival (OS) and recurrence-free survival (RFS) were calculated by Kaplan-Meier analysis, and compared between groups using the log-rank.Result: Univariate and multivariate analysis found that the tumor number (HR: 1.676;95%CI: 1.113-2.526), tumor size (HR: 1.967;95%CI: 1.251-3.092), GLR (HR: 1.028;95%CI: 1.004-1.052) were independent risk factors of relapse; while etiology (HR: 1.328;95%CI: 1.052-1.677), tumor number (HR: 1.615;95%CI: 1.015-2.570), tumor size (HR: 2.061; 95%CI: 1.243-3.418), Fib (HR: 0.73; 95%CI: 0.535-0.996) and GLR (HR: 1.031;95%CI: 1.003-1.06) were related to overall survival. We classified the patients into groups with high and low levels of GLR based on the optimal cut-off value of GLR identified by generating receiver operating characteristics (ROC) curve. The cumulative 1-, 3-, and 5-year RFS rates in the low GLR group were 76.4%, 53.8% and 43.4%, while those in the high GLR group were 71%, 31% and 22%, respectively (P <0.001). Concerning OS, the low GLR group showed a 1-, 3- and 5-year OS of 99.5%, 92.0% and 80.2% versus 98%, 73% and 63% for the high GLR group (P <0.001). Finally, patients were stratified by GLR and tumor size. The outcomes revealed that patients in group A (GLR<16.54 and tumor size ≤30mm) showed better prognosis than group B (GLR≥16.54 and tumor size≤30mm or GLR<16.54 and tumor size >30mm) and group C (GLR≥16.54 and tumor size >30mm) (P <0.001). Conclusions: Preoperative GLR ratio could serve as a biomarker to predict prognosis in HCC patients who underwent complete ablation.

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