A Novel Nine-Gene Signature Associated With Immune Infiltration for Predicting Prognosis in Hepatocellular Carcinoma

Identification and validation of hub genes in uterine corpus endometrioid carcinoma: An observational study from TCGA and GEO

Uterine corpus endometrioid carcinoma (UCEC) is a prevalent malignant tumor of the female reproductive system. Despite advancements in molecular biology and treatment strategies, the underlying molecular mechanisms of UCEC tumorigenesis remain incompletely understood. This study aimed to identify differentially expressed genes (DEGs) associated with UCEC pathogenesis, and to determine potential prognostic biomarkers and immunotherapy targets for UCEC. RNA expression datasets and clinical data from UCEC patients were collected from the UCSC Xena database and The Cancer Genome Atlas database. Principal component analysis and LIMMA methods were employed to screen 177 UCEC tissues and 24 normal endometrial tissues. Gene ontology enrichment analysis revealed that up-regulated DEGs were primarily involved in tissue development, cell cycle regulation, and epithelial development. Subsequently, weighted gene co-expression network analysis (WGCNA) identified DEGs in the blue modules that were significantly positively correlated with UCEC, while DEGs in the black modules were significantly negatively correlated with UCEC. Among the identified DEGs through WGCNA, 16 genes were selected, and further Kaplan-Meier analysis demonstrated that 5 of these genes (AURKA, CCNE1, IQGAP3, TTK, and UBE2C) were significantly negatively correlated with overall survival (OS) and considered as hub genes. The expression of these hub genes was validated using GEO datasets and immunohistochemistry (IHC) analysis from the human protein atlas. Additionally, the calculation of immune scores for immune infiltration, immune cell infiltration, and immune cell regulation across the 5 hub genes revealed potential immunotherapeutic targets and strategies. This comprehensive investigation provides insights into the molecular mechanisms underlying UCEC development, identifies 5 promising prognostic biomarkers and immunotherapy targets, and offers guidance for UCEC treatment approaches.

The role of Aurora kinase A in hepatocellular carcinoma: Unveiling the intriguing functions of a key but still underexplored factor in liver cancer

Aurora Kinase A (AURKA) plays a central role as a serine/threonine kinase in regulating cell cycle progression and mitotic functions. Over the years, extensive research has revealed the multifaceted roles of AURKA in cancer development and progression. AURKA's dysregulation is frequently observed in various human cancers, including hepatocellular carcinoma (HCC). Its overexpression in HCC has been associated with aggressive phenotypes and poor clinical outcomes. This review comprehensively explores the molecular mechanisms underlying AURKA expression in HCC and its functional implications in cell migration, invasion, epithelial-to-mesenchymal transition, metastasis, stemness, and drug resistance. This work focuses on the clinical significance of AURKA as a diagnostic and prognostic biomarker for HCC. High levels of AURKA expression have been correlated with shorter overall and disease-free survival in various cohorts, highlighting its potential utility as a sensitive prognostic indicator. Recent insights into AURKA's role in modulating the tumour microenvironment, particularly immune cell recruitment, may provide valuable information for personalized treatment strategies. AURKA's critical involvement in modulating cellular pathways and its overexpression in cancer makes it an attractive target for anticancer therapies. This review discusses the evidence about novel and selective AURKA inhibitors for more effective treatments for HCC.