Diagnostic and prognostic performances of GALAD score in staging and 1-year mortality of hepatocellular carcinoma: A prospective study DOI

Oraphan Jitpraphawan,

Witchakorn Ruamtawee,

Mala Treewatchareekorn

et al.

World Journal of Gastroenterology, Journal Year: 2024, Volume and Issue: 30(17), P. 2343 - 2353

Published: April 29, 2024

BACKGROUND The GALAD score has improved early hepatocellular carcinoma (HCC) detection rate. role of the in staging and predicting tumor characteristics or clinical outcome HCC remains particular interest. AIM To determine diagnostic/prognostic performances at various phases initial diagnosis, features, 1-year mortality compare performance with those other serum biomarkers. METHODS This prospective, study was conducted among patients newly diagnosed liver center Vajira Hospital. Eligible had allocation using Barcelona Clinic Liver Cancer (BCLC) categorization. Demographics, etiology, features were recorded. Biomarkers obtained baseline. biomarkers prospectively assessed. RESULTS Exactly 115 individuals HCC. increased disease severity. Between BCLC-0/A BCLC-B/C/D, predicted an area under curve (AUC) 0.868 (95%CI: 0.80–0.93). For identifying curative HCC, AUC significantly higher than that Alpha-fetoprotein (AFP) (0.753) Lens culinaris agglutinin-reactive fraction AFP-L3 (0.706), as good Protein induced by vitamin K absence-II (PIVKA-II) (0.897). detecting aggressive gave 0.839 0.75–0.92) outperformed compared to AFP (0.761) (0.697), a trend superiority PIVKA-II (0.772). predict (AUC: 0.711, 95%CI: 0.60–0.82) better (0.541) (0.736). optimal cutoff value ≥ 6.83, specificity 72.63% for exhibiting substantial reduction mortality. CONCLUSION model can diagnose stage, including characteristic advanced disease, more AFP-L3, but not PIVKA-II. be used

Language: Английский

Construction of a prognostic model and identification of key genes in liver hepatocellular carcinoma based on multi-omics data DOI Creative Commons
Kun Tang, Mingjiang Liu,

Cuisheng Zhang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 18, 2025

Abstract Liver hepatocellular carcinoma (LIHC) strongly contributes to global cancer mortality, highlighting the need for a deeper understanding of its molecular mechanisms enhance patient prognosis and treatment approaches. We aimed investigate differential expression immunogenic cell death-related genes (ICDRGs) cellular senescence-related (CSRGs) in LIHC their effects on prognosis. combined GSE25097, GSE46408, GSE121248 datasets by eliminating batch standardizing data. After processing, 16 were identified as ICDR&CSR differentially expressed (ICDR&CSRDEGs), including UBE2T , HJURP PTTG1 CENPA FOXM1 . Gene set enrichment analysis indicated strong these pre-Notch processing. variation revealed 20 pathways with significant differences between control groups. Mutation TP53 most commonly mutated gene samples. A prognostic risk model integrating 12 ICDR&CSRDEGs was developed, showing high precision at 1 year but diminished accuracy 2 3 years. Our constructed provides valuable insights predicting outcomes may guide future therapeutic interventions targeting specific genes. Further research is needed explore mechanistic roles progression response.

Language: Английский

Citations

0
Unraveling the Role of the Wnt Pathway in Hepatocellular Carcinoma: From Molecular Mechanisms to Therapeutic Implications DOI Open Access
Zixin Liang,

Shanshan Li,

Zhiyu Wang

et al.

Journal of Clinical and Translational Hepatology, Journal Year: 2025, Volume and Issue: 000(000), P. 000 - 000

Published: Jan. 14, 2025

Hepatocellular carcinoma (HCC) is one of the deadliest malignant tumors in world, and its incidence mortality have increased year by year. HCC research has increasingly focused on understanding pathogenesis developing treatments.The Wnt signaling pathway, a complex evolutionarily conserved signal transduction system, been extensively studied genesis treatment several tumors. Recent investigations suggest that may be significantly influenced dysregulated Wnt/β-catenin signaling. This article aimed to examine pathway controls mechanisms. In addition, we highlighted role this etiology targeted treatment.

Language: Английский

Citations

0
The Prognostic Value and Immunomodulatory Role of Spsb2, a Novel Immune Checkpoint Molecule, in Hepatocellular Carcinoma DOI Open Access
Tian Lv, Yiming Wang,

Jiexin Guan

et al.

Genes, Journal Year: 2025, Volume and Issue: 16(3), P. 346 - 346

Published: March 17, 2025

Background: Liver cancer, specifically hepatocellular carcinoma (LIHC), ranks as the second most common cause of cancer-related fatalities globally. Moreover, occurrence rate LIHC is steadily increasing. A recently identified gene, SPSB2, has been implicated in cell signaling, impacting development and progression non-small lung cancer. Nevertheless, studies on role SPSB2 pathogenesis are lacking. Methods: Using TCGA, GTEx, GEO databases, we obtained differentially expressed genes that affect prognosis patients with LIHC. We utilized Kruskal–Wallis test, along univariate multivariate COX regression analyses, to determine correlation between patient clinical indicators. Potential biological functions were explored by enrichment analysis, ssGSEA, Spearman analysis. Finally, lines Huh7 SMMC-7721 used validate function SPSB2. Results: The results showed higher expression had a poorer prognosis, was significantly correlated patients’ Histologic grade, Pathologic T stage, Prothrombin time, BMI, weight, adjacent hepatic tissue inflammation, AFP level, OS event (p < 0.05). shows notable pathways linked tumorigenesis immune system. its strongly connected cells checkpoints. Knockdown inhibits SPSB2’s functions, including proliferation, invasion, metastasis, other phenotypes. Conclusions: plays crucial It related response unfavorable outcomes. may biomarker for prognosis.

Language: Английский

Citations

0
TCF19/CDKN2A Regulates Glycolysis and Macrophage M2 Polarization for Osteosarcoma Progression DOI
Xiaofang Hu, Wei Chen,

Kaiyuan Yang

et al.

The FASEB Journal, Journal Year: 2025, Volume and Issue: 39(7)

Published: April 7, 2025

ABSTRACT Osteosarcoma (OS) is the most common malignant tumor of bone. This paper aimed to explore mechanism macrophage polarization and glycolysis in OS. Gene expression microarray GSE42572 for OS was downloaded from GEO database validated TCGA‐SARC. CDKN2A cell lines normal human bone osteoblasts detected. Saos2 cells were transfected with siRNA‐CDKN2A, U2OS pcDNA3.4‐CDKN2A knock down or upregulate role behaviors. Extracellular acidification rate, oxygen consumption glycolysis‐related proteins co‐incubated THP‐1 cells, CD206 CD86 levels The secretion IL‐10 IL‐12 by macrophages measured. upstream regulatory elements predicted online databases, binding TCF19 promoter validated. Xenograft established verify effect knockdown on growth mice. highly expressed tissues lines. inhibited proliferation, migration, invasion promoted apoptosis glycolysis. After co‐incubation macrophages, CD206‐positive decreased, CD86‐positive increased, increased. enriched expression. Upregulation M2 polarization. downregulation growth, metabolic reprogramming, enhances its expression, which turn activates polarization, ultimately promoting progression.

Language: Английский

Citations

0
Diagnostic and prognostic performances of GALAD score in staging and 1-year mortality of hepatocellular carcinoma: A prospective study DOI

Oraphan Jitpraphawan,

Witchakorn Ruamtawee,

Mala Treewatchareekorn

et al.

World Journal of Gastroenterology, Journal Year: 2024, Volume and Issue: 30(17), P. 2343 - 2353

Published: April 29, 2024

BACKGROUND The GALAD score has improved early hepatocellular carcinoma (HCC) detection rate. role of the in staging and predicting tumor characteristics or clinical outcome HCC remains particular interest. AIM To determine diagnostic/prognostic performances at various phases initial diagnosis, features, 1-year mortality compare performance with those other serum biomarkers. METHODS This prospective, study was conducted among patients newly diagnosed liver center Vajira Hospital. Eligible had allocation using Barcelona Clinic Liver Cancer (BCLC) categorization. Demographics, etiology, features were recorded. Biomarkers obtained baseline. biomarkers prospectively assessed. RESULTS Exactly 115 individuals HCC. increased disease severity. Between BCLC-0/A BCLC-B/C/D, predicted an area under curve (AUC) 0.868 (95%CI: 0.80–0.93). For identifying curative HCC, AUC significantly higher than that Alpha-fetoprotein (AFP) (0.753) Lens culinaris agglutinin-reactive fraction AFP-L3 (0.706), as good Protein induced by vitamin K absence-II (PIVKA-II) (0.897). detecting aggressive gave 0.839 0.75–0.92) outperformed compared to AFP (0.761) (0.697), a trend superiority PIVKA-II (0.772). predict (AUC: 0.711, 95%CI: 0.60–0.82) better (0.541) (0.736). optimal cutoff value ≥ 6.83, specificity 72.63% for exhibiting substantial reduction mortality. CONCLUSION model can diagnose stage, including characteristic advanced disease, more AFP-L3, but not PIVKA-II. be used

Language: Английский

Citations

2