BMC Cancer, Journal Year: 2024, Volume and Issue: 24(1)
Published: Sept. 6, 2024
Language: Английский
APOPTOSIS, Journal Year: 2024, Volume and Issue: 29(9-10), P. 1632 - 1647
Published: May 17, 2024
Language: Английский
Citations
5
Frontiers in Oncology, Journal Year: 2025, Volume and Issue: 15
Published: March 4, 2025
Objective Disulfidptosis is a newly identified type of nonapoptotic programmed cell death related to mechanisms such as ferroptosis, cuproptosis, pyroptosis, and necrotic apoptosis. This study explores the role disulfidptosis-related long non-coding RNAs (DRLs) in gastric cancer their potential prognostic biomarkers. Method We developed model using DRL scores classify patients based on disulfidptosis activity. evaluated these for correlations with drug sensitivity, tumor microenvironment (TME) features, mutational burden (TMB), prognosis. Potential signaling pathways were screened, identifying FRMD6-AS promising therapeutic target. expression was further validated real-time fluorescent quantitative PCR (qRT-PCR). Results The DRL-based model, established through univariate multivariate Cox regression LASSO analyses, outperformed traditional models predicting divided samples into high-risk low-risk groups scores, finding that group had significantly higher survival rate (P < 0.05). A high-precision prediction incorporating age, sex, grade, stage showed strong predictive value consistency actual outcomes. High correlated TME lower TMB. Key axes AC129507.1/(FLNA, TLN1)/FOCAL ADHESION AC107021.2/MYH10/(TIGHT JUNCTION, VIRAL MYOCARDITIS, REGULATION OF ACTIN CYTOSKELETON). Potentially effective drugs, including BMS-754807, dabrafenib, JQ1, identified. emerged target treatment. Conclusions novel DRLs, two key JQ1 may be an treatment, could
Language: Английский
Citations
0
Cell Death Discovery, Journal Year: 2025, Volume and Issue: 11(1)
Published: April 28, 2025
Abstract Disulfidptosis, a regulated cell death modality driven by the cystine transporter solute carrier family 7 member 11 (SLC7A11), is characterized actin cytoskeleton collapse under glucose starvation. This review systematically elucidates pivotal role of disulfidptosis in tumor metabolic reprogramming, with focus on its molecular mechanisms and distinctions from other pathways. The core include SLC7A11-mediated overload NRF2/c-Myc-regulated pentose phosphate pathway activation. By integrating multiomics data single-cell transcriptomics, we comprehensively decipher heterogeneous expression patterns disulfidptosis-related genes (DRGs) their dynamic interplay immune microenvironment remodeling. Furthermore, coexpression networks DRGs long noncoding RNAs (DRLs) offer novel insights into diagnosis, prognosis, targeted therapy. Therapeutically, SLC7A11 inhibitors (e.g., HG106) BAY-876) demonstrate efficacy exploiting vulnerabilities, whereas natural compounds synergizing checkpoint blockade provide strategies to counteract immunosuppressive microenvironments. Through interdisciplinary collaboration clinical translation, research holds transformative potential redefining precision oncology.
Language: Английский
Citations
0
Frontiers in Genetics, Journal Year: 2024, Volume and Issue: 15
Published: July 9, 2024
Objective Disulfidptosis is a newly recognized form of regulated cell death that has been linked to cancer progression and prognosis. Despite this association, the prognostic significance, immunological characteristics treatment response disulfidptosis-related lncRNAs (DRLs) in ovarian have not yet elucidated. Methods The lncRNA data clinical information for normal samples were obtained from UCSC XENA. Differential expression analysis Pearson utilized identify core DRLs, followed by LASSO algorithm. Random Survival Forest was used construct model. relationships between risk scores, RNA methylation, immune infiltration, mutation, responses immunotherapy drug sensitivity further examined. Additionally, qRT-PCR experiments conducted validate DRLs human cells scRNA-seq GEO dataset, available TISCH database. Results A total 8 model cancer, categorizing all patients into low-risk high-risk groups using an optimal cutoff value. AUC values 1-year, 3-year 5-year OS TCGA cohort 0.785, 0.810 0.863 respectively, proving strong predictive capability revealed group exhibited lower overall survival rates, higher TIDE scores TMB levels compared group. Variations infiltration therapeutic drugs observed groups. Besides, our study verified correlations methylation. single-cell sequencing confirm significance at both cellular levels. Conclusion We constructed reliable novel with cluster providing foundation researches management disease.
Language: Английский
Citations
1
BMC Cancer, Journal Year: 2024, Volume and Issue: 24(1)
Published: Sept. 6, 2024
Language: Английский
Citations
0