Comprehensive analysis of glycometabolism-related genes reveals PLOD2 as a prognostic biomarker and therapeutic target in gastric cancer DOI

Wanchun Ye,

Xiaolei Zhang,

Zhongjie Tang

и другие.

BMC Gastroenterology, Год журнала: 2025, Номер 25(1)

Опубликована: Апрель 14, 2025

Язык: Английский

Amino Acid Metabolism-Related Gene Kynureninase (KYNU) as a Prognostic Predictor and Regulator of Diffuse Large B-Cell Lymphoma DOI

Yu Zhang,

Feng Shi,

Liemei Lv

и другие.

Biochemical Genetics, Год журнала: 2025, Номер unknown

Опубликована: Фев. 11, 2025

Язык: Английский

Процитировано

0

Integrated bioinformatics and experiment validation reveal cuproptosis-related biomarkers and therapeutic targets in sepsis-induced myocardial dysfunction DOI Creative Commons

Xuemei Shi,

Zhiqiang Yan,

Ruilin Ding

и другие.

BMC Infectious Diseases, Год журнала: 2025, Номер 25(1)

Опубликована: Март 31, 2025

Sepsis-induced myocardial dysfunction (SIMD) is a serious sepsis complication with high mortality, yet current diagnostic and therapeutic approaches remain limited. The lack of early, specific biomarkers effective treatments necessitates exploration novel mechanisms. Recently, cuproptosis has been implicated in various diseases, but its role SIMD unclear. This study aimed to identify cuproptosis-related potential agents, supported by animal model validation. Four GEO datasets (GSE79962, GSE267388, GSE229925, GSE229298) were analyzed using Limma WGCNA overlapping genes from differentially expressed (DEGs), DEGs (DE-CRGs), module-associated genes. Gene Set Enrichment Analysis (GSEA) single-sample GSEA (ssGSEA) performed assess biological functions immune cell infiltration, respectively. ceRNA transcription factor networks constructed explore gene regulatory mechanisms, while consensus clustering was employed define subtypes. Diagnostic selected through SVM–RFE, LASSO, random forest models. Additionally, gene-targeting agents predicted drug-gene interaction analysis. findings validated models qPCR immunohistochemical analysis confirm expression. PDHB DLAT emerged as key biomarkers. indicated upregulation oxidative phosphorylation downregulation chemokine signaling. ssGSEA revealed negative correlations several types. A network (51 nodes, 56 edges) constructed. Machine learning identified PDHB, NDUFA9, TIMMDC1 genes, showing accuracy (AUC = 0.995 GSE79962; AUC 0.960, 0.864, 0.984 external datasets). Using the DSigDB database, we six drugs that exhibit significant binding activity PDHB. immunohistochemistry confirmed reduced expression identifies biomarkers, addressing gaps unveiling molecular insights for early intervention targeted treatment. Not applicable.

Язык: Английский

Процитировано

0

Comprehensive analysis of glycometabolism-related genes reveals PLOD2 as a prognostic biomarker and therapeutic target in gastric cancer DOI

Wanchun Ye,

Xiaolei Zhang,

Zhongjie Tang

и другие.

BMC Gastroenterology, Год журнала: 2025, Номер 25(1)

Опубликована: Апрель 14, 2025

Язык: Английский

Процитировано

0