
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 18, 2024
Language: Английский
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 18, 2024
Language: Английский
Biomedicine & Pharmacotherapy, Journal Year: 2024, Volume and Issue: 175, P. 116624 - 116624
Published: April 25, 2024
Drug resistance presents a formidable challenge in the realm of breast cancer therapy. Accumulating evidence suggests that enhancer zeste homolog 2 (EZH2), component polycomb repressive complex (PRC2), may serve as key regulator controlling drug resistance. EZH2 overexpression has been observed and many other malignancies, showing strong correlation with poor outcomes. This review aims to summarize mechanisms by which regulates resistance, specific focus on cancer, order provide comprehensive understanding underlying molecular processes. Additionally, we will discuss current strategies outcomes targeting using both single agents combination therapies, goal offering improved guidance for clinical treatment patients who have developed
Language: Английский
Citations
8European Journal of Medicinal Chemistry, Journal Year: 2023, Volume and Issue: 256, P. 115461 - 115461
Published: May 5, 2023
Language: Английский
Citations
13PeerJ, Journal Year: 2025, Volume and Issue: 13, P. e18871 - e18871
Published: Jan. 27, 2025
To evaluate the safety profiles of EZH2-targeted inhibitors in cancer treatment, focusing on treatment-related adverse events (TRAEs) across various clinical trials. We conducted a systematic review and meta-analysis using data from trials involving EZH2 reported up to May 31, 2024. Databases searched included PubMed, Embase, CENTRAL (Cochrane Central Register Controlled Trials), ClinicalTrials.gov. Studies were those patients treated with as monotherapy or combination, specifically detailing incidence TRAEs. Data all-grade TRAEs, grade 3 higher severe TRAEs extracted analyzed random-effects models. Our 22 studies encompassing 1,002 who met inclusion criteria. commonly observed during inhibitor therapy, affecting 86% (95% CI [79-94%]%; I2 = 89.5%). The was 33% [21-44%]; 93.5%), while occurred 15% cases [9-22%]; 87.5%). most frequently pooled analysis neutropenia (8%), thrombocytopenia anemia (6%). Specifically, for tazemetostat, common TRAE (5%). For SHR2554, prevalent (17%), (7%). Notably, fatalities rare, only 0.9% experiencing potentially fatal outcomes due therapy. demonstrate manageable profile low emphasizing their potential safe therapeutic options treatment. rate rare occurrences deaths support continued use further investigation inhibitors.
Language: Английский
Citations
0Biochemical Pharmacology, Journal Year: 2023, Volume and Issue: 215, P. 115727 - 115727
Published: Aug. 2, 2023
Language: Английский
Citations
12Clinical Cancer Research, Journal Year: 2024, Volume and Issue: 30(7), P. 1248 - 1255
Published: Jan. 8, 2024
Patients with peripheral T-cell lymphomas (PTCL) in the relapsed or refractory (r/r) setting have only a limited number of therapies available, and prognosis is extremely poor. SHR2554 an oral inhibitor against EZH2, rational therapeutic target for lymphomas.
Language: Английский
Citations
4European Journal of Medicinal Chemistry, Journal Year: 2025, Volume and Issue: 287, P. 117293 - 117293
Published: Jan. 19, 2025
Language: Английский
Citations
0Advanced Composites and Hybrid Materials, Journal Year: 2025, Volume and Issue: 8(1)
Published: Feb. 1, 2025
Language: Английский
Citations
0Functional & Integrative Genomics, Journal Year: 2025, Volume and Issue: 25(1)
Published: March 6, 2025
Language: Английский
Citations
0Journal of Translational Medicine, Journal Year: 2025, Volume and Issue: 23(1)
Published: March 16, 2025
To identify potential therapeutic targets and evaluate the safety profiles for Idiopathic Pulmonary Fibrosis (IPF) using a comprehensive multi-omics approach. We integrated genomic transcriptomic data to IPF. First, we conducted transcriptome-wide association study (TWAS) Omnibus Transcriptome Test Expression Reference Summary (OTTERS) framework, combining plasma expression quantitative trait loci (eQTL) with IPF Genome-Wide Association Studies (GWAS) summary statistics from Global Biobank (discovery) Finngen (duplication). then applied Mendelian randomization (MR) explore causal relationships. RNA-seq co-expression analysis (bulk, single-cell spatial transcriptomics) was used critical genes, followed by molecular docking their druggability. Finally, phenome-wide MR (PheW-MR) GWAS 679 diseases in UK assessed adverse effects of identified genes. 696 genes associated discovery dataset 986 duplication dataset, 126 overlapping through TWAS. revealed 29 13 linked increased 16 decreased risk. data-based (SMR) confirmed six essential genes: ANO9, BRCA1, CCDC200, EZH1, FAM13A, SFR1. Bulk showed FAM13A upregulation SFR1 EZH1 downregulation Single-cell gene changes across cell types. Molecular binding solid affinities respiratory drugs, PheW-MR highlighted side effects. key genes—ANO9, SFR1—as drug strong affinities, while risks. These findings offer new insights treatment further investigation
Language: Английский
Citations
0Hereditas, Journal Year: 2025, Volume and Issue: 162(1)
Published: April 7, 2025
Abstract Background Cervical cancer (CC) stands as a major contributor to female mortality. The pathogenesis of CC is linked with various factors. Our research aimed unravel the underlying mechanisms ferroptosis and m6A RNA methylation in through bioinformatics analysis. Methods Three datasets, including GSE9750, GSE63514, TCGA-CESC, were incorporated. m6A-related genes derived from published sources, while ferroptosis-related obtained FerrDb database. Differential expression correlation analyses performed identify differentially expressed (DE-MRFGs) CC. Subsequently, biomarkers further identified using machine learning techniques. Gene Set Enrichment Analysis (GSEA) Kaplan–Meier (KM) survival analysis also comprehend these biomarkers. Furthermore, competing endogenous RNAs (ceRNA) network involving was established. Finally, verified by real-time quantitative polymerase chain reaction (RT-qPCR). Results From DE-MRFGs, six genes, ALOX12 , EZH2 CA9 CDCA3 CDC25A HSPB1 selected. A nomogram constructed based on exhibited potential clinical diagnostic value for CC, good accuracy confirmed calibration curves. GSEA unveiled associations cell proliferation, spliceosome, base excision repair. KM demonstrated significant differences outcomes between high low expressions samples. ceRNA three biomarkers, such 29 miRNAs, 25 lncRNAs. In RT-qPCR verification, significantly higher samples, control Conclusion Six namely m6A-regulated These findings offer valuable insights into disease hold promise advancing treatment prognosis.
Language: Английский
Citations
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