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Squalene epoxidase (SQLE) is an essential enzyme involved in cholesterol biosynthesis. However, its role in sarcoma and its correlation with immune infiltration remains unclear. All original data were downloaded from The Cancer Genome Atlas (TCGA). SQLE expression was explored using the TCGA database, and correlations between SQLE and cancer immune characteristics were analyzed via the TISIDB databases. Generally, SQLE is predominantly overexpressed and has diagnostic and prognostic value in sarcoma. Upregulated SQLE was associated with poorer overall survival, poorer disease-specific survival, and tumor multifocality in sarcoma. Mechanistically, we identified a hub gene that included a total of 82 SQLE-related genes, which were tightly associated with histone modification pathways in sarcoma patients. SQLE expression was negatively correlated with infiltrating levels of dendritic cells and plasmacytoid dendritic cells and positively correlated with Th2 cells. SQLE expression was negatively correlated with the expression of chemokines (CCL19 and CX3CL1) and chemokine receptors (CCR2 and CCR7) in sarcoma. In conclusion, SQLE may be used as a prognostic biomarker for determining prognosis and immune infiltration in sarcoma.
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http://dx.doi.org/10.1097/MD.0000000000037030 | DOI Listing |
J Cereb Blood Flow Metab
September 2025
Achucarro Basque Center for Neuroscience, Leioa, Spain.
Adenosine A receptors (AARs) have shown promising therapeutic properties despite their controversial role in modulating stroke outcome. However, the temporal evolution of cerebral AARs density after cerebral ischemia and its subsequent neuroinflammatory response have been scarcely explored. In this study, the expression of AARs after transient middle cerebral artery occlusion (MCAO) was evaluated in rats by positron emission tomography (PET) with [C]SCH442416 and immunohistochemistry (IHC).
View Article and Find Full Text PDFJ Pathol Transl Med
September 2025
Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Background: C-C motif chemokine ligand 3 (CCL3) is a crucial chemokine that plays a fundamental role in the immune microenvironment and is closely linked to the development of various cancers. Despite its importance, there is limited research regarding the expression and function of CCL3 in nasopharyngeal carcinoma (NPC). Therefore, this study seeks to examine the expression of CCL3 and assess its clinical significance in NPC using bioinformatics analysis and experiments.
View Article and Find Full Text PDFCancer Rep (Hoboken)
September 2025
Department of Respiratory and Critical Care Medicine, The Fourth Affiliated Hospital of Soochow University, Suzhou Dushu Lake Hospital, Medical Centre of Soochow University, Suzhou, Jiangsu, China.
Background: Epigenetic regulation significantly affects immune responses in lung adenocarcinoma (LUAD). However, the role of RNA N6-methyladenosine (m6A) modification, especially in obstructive sleep apnea-hypopnea syndrome (OSAHS) within LUAD, is not well understood.
Methods: This study examined m6A modification patterns in 973 LUAD patients using 23 regulatory genes.
Nan Fang Yi Ke Da Xue Xue Bao
August 2025
Department of Gastrointestinal Surgery.
Objectives: To study the impact of SURF4 expression level on long-term prognosis of gastric cancer (GC) and biological behaviors of GC cells.
Methods: SURF4 expression level in GC and its association with long-term patient prognosis were analyzed using publicly available databases and in 155 GC patients with low and high SURF4 expressions detected immunohistochemically. The Cox proportional hazard model and Kaplan-Meier survival curves were used to analyze independent prognostic predictors of GC and the 5-year survival rate of the patients with different SURF4 expression levels.
Nan Fang Yi Ke Da Xue Xue Bao
August 2025
Department of Urology, Third Affiliated Hospital of Southern Medical University, Guangzhou 510000, China.
Objectives: To identify immunosuppressive neutrophil subsets in patients with prostate cancer (PCa) and construct a risk prediction model for prognosis and immunotherapy response of the patients based on these neutrophil subsets.
Methods: Single-cell and transcriptome data from PCa patients were collected from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). Neutrophil subsets in PCa were identified through unsupervised clustering, and their biological functions and effects on immune regulation were analyzed by functional enrichment, cell interaction, and pseudo-time series analyses.