Application of Machine Learning Techniques to Assess Alpha-Fetoprotein at Diagnosis of Hepatocellular Carcinoma DOI Open Access
Sergio Gil-Rojas, Miguel Suárez, Pablo Martínez-Blanco

и другие.

International Journal of Molecular Sciences, Год журнала: 2024, Номер 25(4), С. 1996 - 1996

Опубликована: Фев. 7, 2024

Hepatocellular carcinoma (HCC) is the most common primary liver tumor and associated with high mortality rates. Approximately 80% of cases occur in cirrhotic livers, posing a significant challenge for appropriate therapeutic management. Adequate screening programs high-risk groups are essential early-stage detection. The extent extrahepatic spread hepatic functional reserve recognized as two influential prognostic factors. In this retrospective multicenter study, we utilized machine learning (ML) methods to analyze predictors at time diagnosis total 208 patients. eXtreme gradient boosting (XGB) method achieved highest values identifying key factors HCC diagnosis. etiology was found be variable strongly poorer prognosis. widely used Barcelona Clinic Liver Cancer (BCLC) classification our setting demonstrated superiority over TNM classification. Although alpha-fetoprotein (AFP) remains commonly biological marker, elevated levels did not correlate reduced survival. Our findings suggest need explore new biomarkers individualized management these

Язык: Английский

MSNs-loaded HMME and Erastin-mediated ferroptosis combined with sonodynamic therapy for HCC treatment DOI Open Access

Chang Zhao,

Guchun Qin,

Caixia Ling

и другие.

Journal of Cancer Research and Therapeutics, Год журнала: 2025, Номер 21(2), С. 465 - 476

Опубликована: Май 1, 2025

ABSTRACT Background: Ferroptosis can have a major impact on the development and advancement of hepatocellular carcinoma (HCC) due to its clear association with heightened vulnerability disease. This study aimed develop novel nanoplatform evaluate effectiveness in vivo vitro models HCC. Methods: Erastin, compound that induces iron-dependent cell death, HMME, sonosensitizer, were enclosed within mesoporous silica nanoparticles (MSNs). The engineered exhibit responsive assembly-disassembly mechanism. Hydrophilic hyaluronic acid (HA) was utilized for conjugation modification synthesize Erastin/HMME@MSNs-HA. In experiments conducted elucidate antitumor mechanisms this nanomaterial. Results: cellular experiments, Erastin/HMME@MSNs-HA rapidly degraded by hyaluronidase, leading increased endocytosis cancer cells. Cellular breakdown led generation harmful reactive oxygen species (ROS), decreased glutathione levels, lipid peroxidation, resulting decrease mitochondrial membrane potential, dysfunctional mitochondria, reduced growth, death. Additionally, nanotherapy platform, when combined ultrasound (US) treatment, exhibited significant therapeutic against tumors . It induced death cancerous tissues, tumor worsened tissue deprivation, good compatibility body. Conclusion: These findings indicate effectively alleviate hypoxia while inducing apoptosis ferroptosis, laying foundation enhancing efficacy ROS-mediated HCC therapy.

Язык: Английский

Процитировано

1

Artemiprinolides A−M, thirteen undescribed sesquiterpenoid dimers from Artemisia princeps and their antihepatoma activity DOI

Li‐Hua Su,

Wenjing Ma,

Yun‐Bao Ma

и другие.

Phytochemistry, Год журнала: 2023, Номер 211, С. 113714 - 113714

Опубликована: Май 6, 2023

Язык: Английский

Процитировано

16

A novel immune-associated prognostic signature based on the immune cell infiltration analysis for hepatocellular carcinoma DOI Creative Commons

Xinrong Lin,

Chuan Tian, Fan Pan

и другие.

ONCOLOGIE, Год журнала: 2023, Номер 26(1), С. 91 - 103

Опубликована: Ноя. 8, 2023

Abstract Objectives Immune-related genes (IRGs) in hepatocellular carcinoma (HCC) are significantly associated with both tumor-infiltrating immune cells (TICs) and disease prognosis. Therefore, exploring the correlation between IRGs HCC its related mechanism will provide new evidence for diagnosis treatment of HCC. Methods The current paper analyzed TICs 374 samples retrieved from TCGA-LIHC dataset using ssGSEA divided them according to level cell. A total 177 differentially expressed (DEGs) were by protein-protein interaction (PPI) networks univariate multivariate Cox regression analyses. Results Four (C7, CTSV, MMP1, VCAN) found be indicators prognosis PPI network analyses DEGs, which was independently validated an external dataset. risk model constructed factors dependent on four IRGs. Prognostic subtype infiltrating cells. Conclusions effective identified as novel independent prognostic that correlated tumor infiltration This signature may guide choice immunotherapy

Язык: Английский

Процитировано

15

Upregulation of CSNK1A1 induced by ITGB5 confers to hepatocellular carcinoma resistance to sorafenib in vivo by disrupting the EPS15/EGFR complex DOI Creative Commons

Gu Li,

Xin Jin, Huaiyuan Liang

и другие.

Pharmacological Research, Год журнала: 2023, Номер 192, С. 106789 - 106789

Опубликована: Май 4, 2023

Oral multitarget tyrosine kinase inhibitors (TKIs), such as sorafenib, which suppress tumor cell proliferation and angiogenesis, have been approved to treat patients with hepatocellular carcinoma (HCC). Of note, only approximately 30% of can benefit from TKIs, this population usually acquires drug resistance within 6 months. In study, we intended explore the mechanism associated regulating sensitivity HCC TKIs. We revealed that integrin subunit β 5 (ITGB5) is abnormally expressed in contributes decreased sorafenib. Mechanistically, unbiased mass spectrometry analysis using ITGB5 antibodies interacts EPS15 prevent degradation EGFR cells, activates AKT-mTOR signaling MAPK pathway reduce cells addition, showed CSNK1A1 binds cells. Further study indicated increased protein level through EGFR-AKT-mTOR HCC. Upregulated phosphorylates enhance interaction between activate Thus, identified a positive feedback loop ITGB5-EPS15-EGFR-CSNK1A1 This finding provides theoretical basis for future development therapeutic strategies improve anti-HCC efficacy

Язык: Английский

Процитировано

14

Application of Machine Learning Techniques to Assess Alpha-Fetoprotein at Diagnosis of Hepatocellular Carcinoma DOI Open Access
Sergio Gil-Rojas, Miguel Suárez, Pablo Martínez-Blanco

и другие.

International Journal of Molecular Sciences, Год журнала: 2024, Номер 25(4), С. 1996 - 1996

Опубликована: Фев. 7, 2024

Hepatocellular carcinoma (HCC) is the most common primary liver tumor and associated with high mortality rates. Approximately 80% of cases occur in cirrhotic livers, posing a significant challenge for appropriate therapeutic management. Adequate screening programs high-risk groups are essential early-stage detection. The extent extrahepatic spread hepatic functional reserve recognized as two influential prognostic factors. In this retrospective multicenter study, we utilized machine learning (ML) methods to analyze predictors at time diagnosis total 208 patients. eXtreme gradient boosting (XGB) method achieved highest values identifying key factors HCC diagnosis. etiology was found be variable strongly poorer prognosis. widely used Barcelona Clinic Liver Cancer (BCLC) classification our setting demonstrated superiority over TNM classification. Although alpha-fetoprotein (AFP) remains commonly biological marker, elevated levels did not correlate reduced survival. Our findings suggest need explore new biomarkers individualized management these

Язык: Английский

Процитировано

6