Prediction of M2 with early-stage hepatocellular carcinoma based on Nomogram DOI
Guoyi Xia,

Ze‐Yan Yu,

Shaolong Lu

et al.

Published: Oct. 23, 2024

Abstract Background Microvascular invasion (MVI) is a crucial factor for early recurrence and poor outcomes in hepatocellular carcinoma (HCC). However, there are few studies on M2 classification. We aimed to build predictive model early-stage HCC, assisting clinical decision-making. Methods retrospectively enrolled 451 patients with HCC employed multiple machine learning algorithms identify the risk factors influencing robustness of M2. Model performance was evaluated using receiver operating characteristic (ROC) curve, calibration decision curve analysis (DCA), impact (CIC). Results There were 363 M0-1 88 cases. Differences recurrence-free survival(RFS) overall survival(OS) between groups statistically significant (P < 0.0001). Complement C3, tumor size > 5cm, incomplete capsule, Edmondson-Steiner stage III-IV independent M2.The prediction showed an area under curve(AUROC) 0.765 0.807 training validation groups, respectively. Calibration curves good agreement actual predicted risks, DCA CIC efficacy. Conclusion The nomogram-based had effect ,providing guidance treatment decisions.

Language: Английский

Theoretical Framework and Emerging Challenges of Lipid Metabolism in Cancer DOI Creative Commons
Qiuying Gu, Yuan Wang, Ping Yi

et al.

Seminars in Cancer Biology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Elevated lipid metabolism is one of hallmarks malignant tumors. Lipids not only serve as essential structural components biological membranes but also provide energy and substrates for the proliferation cancer cells tumor growth. Cancer meet their needs by coordinating processes absorption, synthesis, transport, storage, catabolism. As research in this area continues to deepen, numerous new discoveries have emerged, making it crucial scientists stay informed about developments metabolism. In review, we first discuss relevant concepts theories or assumptions that help us understand -based therapies. We then systematically summarize latest advancements including mechanisms, novel targets, up-to-date pre-clinical clinical investigations anti-cancer treatment with targeted drugs. Finally, emphasize emerging directions therapeutic strategies, future prospective challenges. This review aims insights guidance field

Language: Английский

Citations

6
MAZ-mediated N6-methyladenosine modification of ZEB1 promotes hepatocellular carcinoma progression by regulating METTL3 DOI Creative Commons

Di Li,

Xu Li,

Ruyuan Liu

et al.

Journal of Translational Medicine, Journal Year: 2025, Volume and Issue: 23(1)

Published: March 4, 2025

Hepatocellular carcinoma (HCC) has a hidden onset and high malignancy. Its metastasis, recurrence, short survival time have always been difficult hot spot in clinical practice. Our previous study revealed that myc-associated zinc finger protein (MAZ) is highly upregulated HCC tissues may promote the proliferation metastasis of cells by inducing epithelial-mesenchymal transformation (EMT) process. However, specific regulatory mechanism which MAZ functions as an oncogene still not fully elucidated. Immunohistochemical staining bioinformatics analyses were conducted to measure expression MAZ, key m6A enzymes, ZEB1 tissues. RNA sequencing (RNA-seq) knockdown human mRNA (m6A-seq) intersected screen downstream targets for both methylation. The correlations between its analyzed dual-luciferase assays cell rescue experiments. Here, we report first involved methylation targeting transcriptional regulation enzymes. was significantly correlated with enzymes lines. Moreover, could bind promoters multivariate Cox regression analysis suggested METTL3 independent risk factors patients. Through RNA-seq m6A-seq, screened out EMT regulators TRIM50 Mechanistically, sites confidence identified SRAMP, there significant relationships cells. A nomogram model established better display combined effect METTL3, on prognosis. promising application prognosis, further suggesting can be used potential molecular biomarker diagnosis

Language: Английский

Citations

0
Inhibition of lanosterol synthase linking with MAPK/JNK signaling pathway suppresses endometrial cancer DOI Creative Commons
Liangjian Ma, Wunan Huang, Xiaolei Liang

et al.

Cell Death Discovery, Journal Year: 2025, Volume and Issue: 11(1)

Published: Feb. 8, 2025

Abstract Endometrial cancer (EC) is a significant health threat to women, with recurrence after treatment posing major challenge. While abnormal cholesterol metabolism has been implicated in EC progression, the underlying mechanisms remain unclear. In this study, we identified lanosterol synthase (LSS) as key mediator associated EC. We found that LSS significantly upregulated tissues. Functional assays revealed promotes cell proliferation and migration, inhibits apoptosis, drives tumor growth vivo. Mechanistically, exerts dual effects by accumulating esters, thereby enhancing growth, activating MAPK/JNK signaling pathway. Importantly, inhibition of specific inhibitor Ro 48-8071 not only reduced suppressed xenograft but also inhibited patient-derived tumor-like clusters (PTCs). These findings establish novel oncogene EC, promoting progression through activation ester accumulation, highlight therapeutic potential targeting treatment.

Language: Английский

Citations

0
SOAT1 Activates NLRP3 Inflammasome to Promote Cancer‐Related Lymphangiogenesis and Metastasis via IL‐1β/IL‐1R‐1 Axis in Oral Squamous Cell Carcinoma DOI Creative Commons
Chengzhi Zhao, Yuhao Wang, Zhishen Jiang

et al.

Molecular Carcinogenesis, Journal Year: 2025, Volume and Issue: unknown

Published: March 26, 2025

Oral squamous cell carcinoma (OSCC) is a prevalent type of cancer in the head and neck region, significantly impacting patient survival rates quality life. Lymph node (LN) metastasis lead contributor to poor prognosis associated with OSCC. SOAT1 plays critical role cholesterol metabolism has been implicated various cancers, although its specific mechanisms OSCC are poorly understood. Additionally, NLRP3 inflammasome identified as factor that promotes progression by influencing processes involved tumor development, activation linked metastasis. Lymphangiogenesis enhancing OSCC, while molecule networks regulating it remains unclear. In our study, we found overexpressed proliferation, migration, invasion cells. Knockdown expression impaired both vitro vivo, reduced rate LN RNA sequencing analysis revealed downstream regulated SOAT1, reactivation having recovered malignancy inhibited knockdown. Furthermore, IL-1β, released activation, could directly bind IL-1R-1 lymphatic endothelial cells (LECs), enhance tube formation capacity LECs, indicating potential promoting lymphangiogenesis conclusion, promote regulate increase via IL-1β/IL-1R-1 axis

Language: Английский

Citations

0
Lipid Metabolism and Immune Response in Hepatocellular Carcinoma: Interplay Driving Tumor Progression DOI Creative Commons
Tiffany Ching-Yun Yu, Yu‐Man Tsui, Xin Zhang

et al.

Published: April 4, 2025

With the rising incidence of metabolic dysfunction-associated steatotic liver disease (MASLD), it has become a significant risk factor for hepatocellular carcinoma (HCC). This review focuses on roles lipid metabolism aberrations and reprogramming in HCC development. We begin with brief overview relevant lipids to HCC, including fatty acyls, glycerolipids, glycerophospholipids sterol lipids, discuss particularly how associated its promotes chemoresistance HCC. then explore heterogeneity distribution across different stages includes intra-tissue spatial histological structure zonated regions liver, interpatient tumor at various degrees resolutions, from single cell bulk tissue levels. Next, we describe plasticity MASLD advent immunotherapy also examine relationship between anti-tumor immunity Finally, address challenges future perspectives targeting as dual approach improve treatment.

Language: Английский

Citations

0
Integrative eQTL and Mendelian randomization analysis reveals key genetic markers in mesothelioma DOI Creative Commons

Jinsong Li,

Xingmeng Wang,

Yaru Lin

et al.

Respiratory Research, Journal Year: 2025, Volume and Issue: 26(1)

Published: April 13, 2025

Mesothelioma is a rare cancer that originates from the pleura and peritoneum, with its incidence increasing due to asbestos exposure. Patients are frequently diagnosed at advanced stages, resulting in poor survival rates. Therefore, identification of molecular markers for early detection diagnosis essential. Three mesothelioma datasets were downloaded GEO database differential gene expression analysis. Instrumental variables (IVs) identified based on quantitative trait locus (eQTL) data Mendelian randomization (MR) analysis using Genome-Wide Association Study (GWAS) FINNGEN database. The intersecting genes MR-identified risk differentially expressed as key co-expressed mesothelioma. Functional enrichment analyses, including Gene Ontology (GO), Kyoto Encyclopedia Genes Genomes (KEGG), Set Enrichment Analysis (GSEA), well immune cell correlation analysis, performed elucidate roles Additionally, was validated independent TCGA datasets. This integrative research combining multiple databases analytical methods established robust model identifying genes. conducted our study 1608 By these 192 MR we 14 Notably, MPZL1, SOAT1, TACC3, CYBRD1 linked high mesothelioma, while TGFBR3, NDRG2, EPAS1, CPA3, MNDA, PRKCD, MTUS1, ALOX15, LRRN3, ITGAM associated lower risk. These found be enriched pathways superoxide metabolism, cycle regulation, proteasome function, all which development Noteworthy observations included significant infiltration M1 macrophages CD4 + T cells showing positive level macrophage infiltration. Furthermore, analyses validation set confirmed significance eQTL provides evidence causal association between genetically. disease critical implicated correlations biological processes infiltrated related Moreover, lays theoretical foundation further into mechanisms potential clinical applications.

Language: Английский

Citations

0
Prediction of M2 with early-stage hepatocellular carcinoma based on Nomogram DOI
Guoyi Xia,

Ze‐Yan Yu,

Shaolong Lu

et al.

Published: Oct. 23, 2024

Abstract Background Microvascular invasion (MVI) is a crucial factor for early recurrence and poor outcomes in hepatocellular carcinoma (HCC). However, there are few studies on M2 classification. We aimed to build predictive model early-stage HCC, assisting clinical decision-making. Methods retrospectively enrolled 451 patients with HCC employed multiple machine learning algorithms identify the risk factors influencing robustness of M2. Model performance was evaluated using receiver operating characteristic (ROC) curve, calibration decision curve analysis (DCA), impact (CIC). Results There were 363 M0-1 88 cases. Differences recurrence-free survival(RFS) overall survival(OS) between groups statistically significant (P < 0.0001). Complement C3, tumor size > 5cm, incomplete capsule, Edmondson-Steiner stage III-IV independent M2.The prediction showed an area under curve(AUROC) 0.765 0.807 training validation groups, respectively. Calibration curves good agreement actual predicted risks, DCA CIC efficacy. Conclusion The nomogram-based had effect ,providing guidance treatment decisions.

Language: Английский

Citations

0