Development of a Novel four-gene Model for Monitoring the Progression from Metabolic Dysfunction-associated Steatotic Liver Disease to Hepatocellular Carcinoma in Males DOI Creative Commons
Yuchuan Jiang, Jiejian Chen, Lin Xu

et al.

Journal of Cancer, Journal Year: 2024, Volume and Issue: 16(3), P. 917 - 931

Published: Dec. 31, 2024

The pathogenesis of metabolic dysfunction-associated steatotic liver disease-associated hepatocellular carcinoma (MASLD-HCC) is complex and exhibits sex-specific differences.Effective methods for monitoring MASLD progression to HCC are lacking.Transcriptomic data from tissue samples sourced multiple public databases were integrated.Utilizing both differential expression analysis robust rank aggregation analysis, differentially expressed genes (DEGs) in patients with MASLD-HCC identified.Based on these DEGs, diagnostic prediction models (DP.MASLD) (DP.HCC) constructed using elastic net various comparisons, including steatosis versus normal, steatohepatitis steatosis, cancer non-cancer.Weighted gene correlation network set enrichment conducted unveil the underlying males.Five overlapping DEGs significance identified, namely, AKR1B10, CYR61, FABP4, GNMT, THBS1.DP.HCC demonstrated excellent predictive accuracy, an area under curve 0.910 training group 0.981 validation group.Similarly, DP.MASLD showed accuracy.The males primarily involves extracellular matrix-receptor interaction, DNA replication, cell cycle, T-cell receptor signaling.Overall, our study provides a quantitative assessment tool early detection MASLD-HCC, highlighting male-specific molecular characteristics involved its progression.

Language: Английский

A promising mesoporous silica carrier material for the diagnosis and treatment of liver diseases: recent research advances DOI
Zihao Sun, Xiaofang Li

Journal of Materials Chemistry B, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

The therapeutic diagnosis of liver diseases has garnered significant interest within the medical community.

Language: Английский

Citations

1
Modern Emerging Biosensing Methodologies for the Early Diagnosis and Screening of Ovarian Cancer DOI Creative Commons

Farah Abul Rub,

Naseel Moursy,

Nouf Alhedeithy

et al.

Biosensors, Journal Year: 2025, Volume and Issue: 15(4), P. 203 - 203

Published: March 21, 2025

Ovarian cancer (OC) is one of the leading causes gynecological cancer-related death worldwide. Late diagnosis at advanced stages OC reason for a higher mortality rate. Earlier and proper treatment are important improving prognosis patients. Biosensors offer accurate, low-cost, rapid, user-friendly devices that can be employed detection OC-specific biomarkers in early stage. Therefore, it to consider potential biological fluids confirm prognosis. Out many biomarkers, most commonly tested clinically antigen 125 (CA-125). However, CA-125 considered poor biomarker diagnosis. Several biosensing methods were developed sensitive quantitative each biomarker. In abnormal expression patients, nucleic acids, enzymes, cells, exosomes used as target construction biosensors. This review focuses on development various using multiple methods. Here, we describe origin significance OC-associated working principle biosensors, classification biosensors based their recognition elements signal transducers. The modes sensitivity sensors discussed. Finally, challenges fabrication, obstacles clinical application, future prospects

Language: Английский

Citations

0
A Novel Label-Free Plasmonic Biosensor for AFP Detection Employing Zinc Telluride and Silicon Carbide DOI
Yesudasu Vasimalla,

Sandhya Sai Maruti Chilukuri,

Sana Ben Khalifa

et al.

Plasmonics, Journal Year: 2025, Volume and Issue: unknown

Published: March 26, 2025

Language: Английский

Citations

0
Recent advances in nano-enhanced biosensors: Innovations in design, applications in healthcare, environmental monitoring, and food safety, and emerging research challenges DOI Creative Commons
Mohamed Hemdan,

Khaled Abuelhaded,

A. A. Shaker

et al.

Sensing and Bio-Sensing Research, Journal Year: 2025, Volume and Issue: unknown, P. 100783 - 100783

Published: April 1, 2025

Language: Английский

Citations

0
Rapid and portable detection of hepatocellular carcinoma marker alpha-fetoprotein using a droplet evaporation-based biosensor DOI

Ying Ping Jia,

Hui Zhao,

Shichu Huang

et al.

Talanta, Journal Year: 2025, Volume and Issue: 294, P. 128189 - 128189

Published: April 18, 2025

Language: Английский

Citations

0
Recent Advances in Biosensor Technology for Early-Stage Detection of Hepatocellular Carcinoma-Specific Biomarkers: An Overview DOI Creative Commons
Raja Chinnappan, Tariq Makhzoum, M. Arai

et al.

Diagnostics, Journal Year: 2024, Volume and Issue: 14(14), P. 1519 - 1519

Published: July 15, 2024

Hepatocellular carcinoma is currently the most common malignancy of liver. It typically occurs due to a series oncogenic mutations that lead aberrant cell replication. Most commonly, hepatocellular (HCC) as result pre-occurring liver diseases, such hepatitis and cirrhosis. Given its aggressive nature poor prognosis, early screening diagnosis HCC are crucial. However, plethora underlying risk factors pathophysiologies, patient presentation often varies in stages, with many patients presenting few, if any, specific symptoms stages. Conventionally, performed through radiological examination, confirmed by biopsy. Imaging modalities tend be limited their requirement large, expensive equipment; time-consuming operation; lack accurate diagnosis, whereas biopsy's invasive makes it unappealing for repetitive use. Recently, biosensors have gained attention potential detect numerous conditions rapidly, cheaply, accurately, without complex equipment training. Through sensing platforms, they aim various biomarkers, nucleic acids, proteins, even whole cells extracted liquid Numerous been developed may We discuss recent updates biosensing technology, highlighting competitive compared conventional methodology prospects tool diagnosis.

Language: Английский

Citations

3
Development of a Novel four-gene Model for Monitoring the Progression from Metabolic Dysfunction-associated Steatotic Liver Disease to Hepatocellular Carcinoma in Males DOI Creative Commons
Yuchuan Jiang, Jiejian Chen, Lin Xu

et al.

Journal of Cancer, Journal Year: 2024, Volume and Issue: 16(3), P. 917 - 931

Published: Dec. 31, 2024

The pathogenesis of metabolic dysfunction-associated steatotic liver disease-associated hepatocellular carcinoma (MASLD-HCC) is complex and exhibits sex-specific differences.Effective methods for monitoring MASLD progression to HCC are lacking.Transcriptomic data from tissue samples sourced multiple public databases were integrated.Utilizing both differential expression analysis robust rank aggregation analysis, differentially expressed genes (DEGs) in patients with MASLD-HCC identified.Based on these DEGs, diagnostic prediction models (DP.MASLD) (DP.HCC) constructed using elastic net various comparisons, including steatosis versus normal, steatohepatitis steatosis, cancer non-cancer.Weighted gene correlation network set enrichment conducted unveil the underlying males.Five overlapping DEGs significance identified, namely, AKR1B10, CYR61, FABP4, GNMT, THBS1.DP.HCC demonstrated excellent predictive accuracy, an area under curve 0.910 training group 0.981 validation group.Similarly, DP.MASLD showed accuracy.The males primarily involves extracellular matrix-receptor interaction, DNA replication, cell cycle, T-cell receptor signaling.Overall, our study provides a quantitative assessment tool early detection MASLD-HCC, highlighting male-specific molecular characteristics involved its progression.

Language: Английский

Citations

0