Prognostic model based on disulfidptosis-related lncRNAs for predicting survival and therapeutic response in bladder cancer DOI Creative Commons
Han Li, Yang Hong, Xuan Jiang

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 2, 2024

With poor treatment outcomes and prognosis, bladder cancer remains a focus for clinical research in the precision oncology era. However, potential of disulfidptosis, novel cell death mechanism, its related long non-coding RNAs to support selective killing this disease is still unclear.

Language: Английский

Disulfidptosis: A new type of cell death DOI Creative Commons
Fei Xiao, Huili Li, Bei Yang

et al.

APOPTOSIS, Journal Year: 2024, Volume and Issue: unknown

Published: June 17, 2024

Abstract Disulfidptosis is a novel form of cell death that distinguishable from established programmed pathways such as apoptosis, pyroptosis, autophagy, ferroptosis, and oxeiptosis. This process characterized by the rapid depletion nicotinamide adenine dinucleotide phosphate (NADPH) in cells high expression solute carrier family 7 member 11 (SLC7A11) during glucose starvation, resulting abnormal cystine accumulation, which subsequently induces andabnormal disulfide bond formation actin cytoskeleton proteins, culminating network collapse disulfidptosis. review aimed to summarize underlying mechanisms, influencing factors, comparisons with traditional pathways, associations related diseases, application prospects, future research directions

Language: Английский

Citations

9

Establishment of a prognostic risk prediction model incorporating disulfidptosis-related lncRNA for patients with prostate cancer DOI Creative Commons
Yelisudan Mulati,

Cong Lai,

Jiawen Luo

et al.

BMC Cancer, Journal Year: 2024, Volume and Issue: 24(1)

Published: Jan. 8, 2024

Abstract Purpose Prostate cancer (PCa) is one of the major tumor diseases that threaten men’s health globally, and biochemical recurrence significantly impacts its prognosis. Disulfidptosis, a recently discovered cell death mechanism triggered by intracellular disulfide accumulation leading to membrane rupture, new area research in context PCa. Currently, impact on PCa remains largely unexplored. This study aims investigate correlation between long non-coding RNAs (lncRNAs) associated with disulfidptosis prognosis PCa, seeking potential connections two. Methods Transcriptomic data for cohort were obtained from Cancer Genome Atlas database. Disulfidptosis-related lncRNAs (DDRLs) identified through differential expression Pearson analysis. DDRLs recurrence-free survival (BRFS) precisely using univariate Cox LASSO regression, resulting development risk score model. Clinical factors linked BRFS determined both multivariate analyses. A prognostic nomogram combined key clinical variables. Model performance was assessed Receiver Operating Characteristic (ROC) curves, Decision Curve Analysis (DCA), calibration curves. The functional critical DDRL substantiated assays involving CCK8, invasion, migration, cloning. Additionally, immunohistochemical (IHC) staining disulfidptosis-related protein SLC7A11 conducted. Results signature included AC026401.3, SNHG4, SNHG25, U73166.1 as components. derived these signatures stood independent factor patients, correlating poorer high-risk group. By combining variables, practical created, accurately predicting patients. Notably, silencing AC026401.3 hindered proliferation, colony formation. IHC revealed elevated dithiosulfatide-related tissue. Conclusions novel DDRLs, possessing commendable predictive power, has been constructed, simultaneously providing therapeutic targets disulfidptosis, among which validated vitro demonstrated inhibition tumorigenesis after silencing.

Language: Английский

Citations

7

An unfolded protein response (UPR)-signature regulated by the NFKB–miR-29b/c axis fosters tumor aggressiveness and poor survival in bladder cancer DOI Creative Commons
Jian Zhang, Xiaosong Fan, Yu Chen

et al.

Frontiers in Molecular Biosciences, Journal Year: 2025, Volume and Issue: 12

Published: Feb. 14, 2025

Background Bladder cancer continues to pose a substantial global health challenge, marked by high mortality rate despite advances in treatment options. Therefore, in-depth understanding of molecular mechanisms related disease onset, progression, and patient survival is utmost importance bladder research. Here, we aimed investigate the underlying using stringent differential expression analyses-based pipeline. Methods Gene miRNA data from TCGA NCBI GEO databases were analyzed. Differentially expressed genes between normal vs tumor, among tumor aggressiveness groups early advanced stage identified Student's t-test ANOVA. Kaplan-Meier analyses conducted R. Functional annotation, target transcription factor prediction, network construction, random walk analysis gene set enrichment performed DAVID, miRDIP, TransmiR, Cytoscape, Java GSEA respectively. Results We elevated endoplasmic reticulum (ER) stress response as key culprit, an eight-gene unfolded protein (UPR)-related signature (UPR-GS) drives aggressive poor patients. This UPR-GS linked downregulation two miRNAs miR-29 family (miR-29b-2-5p miR-29c-5p), which can limit UPR-driven improve survival. At further upstream, inflammation-related NFKB inhibits miR-29b/c expression, driving UPR-related progression determining Conclusion These findings highlight that aberrantly activated UPR, regulated NFKB-miR-29b/c axis, plays crucial role cancer, highlighting potential targets for therapeutic interventions prognostic markers management.

Language: Английский

Citations

0

Pan-cancer analysis of the disulfidptosis-related gene RPN1 and its potential biological function and prognostic significance in gliomas DOI Creative Commons
Yan Zong, Ankang Zhu,

Peipei Liu

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(11), P. e31875 - e31875

Published: May 25, 2024

BackgroundNumerous studies have shown a strong correlation between disulfidptosis and various cancers. However, the expression function of RPN1, crucial gene in disulfidptosis, remain unclear context cancer.MethodsGene clinical information on lung adenocarcinoma were obtained from The Cancer Genome Atlas (TCGA) Genotype-Tissue Expression (GTEx) databases. RPN1 was analyzed using Timer2.0 Human Protein (HPA) Prognostic significance assessed Cox regression analysis Kaplan–Meier curves. Genetic mutations methylation levels examined cBioPortal UALCAN platforms, respectively. relationship tumor mutation burden (TMB) microsatellite instability (MSI) across different cancer types Spearman coefficient. immune cell infiltration database, whereas variations drug sensitivity explored CellMiner database. Receiver operating characteristic curves validated RPN1's diagnostic potential glioma, its with checkpoint inhibitors (ICIs) Spearman's Single-sample set enrichment elucidated link cells pathways. In addition, nomogram based developed to predict patient prognosis. functional impact glioma confirmed scratch Transwell assays.ResultRPN1 aberrantly expressed cancers affected main type amplified. exhibited positive myeloid-derived suppressor cells, neutrophils, macrophages, negative CD8+ T hematopoietic stem cells. associated TMB MSI positively correlated multiple ICIs gliomas. also into microenvironment. an independent prognostic factor for gliomas, demonstrated excellent predictive performance. Interference reduces migratory invasive ability cells.ConclusionRPN1 exerts multifaceted effects stages cancer, including infiltration, prognosis, treatment outcomes. affects prognosis microenvironment patients making target glioma.

Language: Английский

Citations

3

A Multi-Omics-Based Exploration of the Predictive Role of MSMB in Prostate Cancer Recurrence: A Study Using Bayesian Inverse Convolution and 10 Machine Learning Combinations DOI Creative Commons

Shan Huang,

Hang Yin

Biomedicines, Journal Year: 2025, Volume and Issue: 13(2), P. 487 - 487

Published: Feb. 16, 2025

Background: Prostate cancer (PCa) is a prevalent malignancy among elderly men. Biochemical recurrence (BCR), which typically occurs after radical treatments such as prostatectomy or radiation therapy, serves critical indicator of potential disease progression. However, reliable and effective methods for predicting BCR in PCa patients remain limited. Methods: In this study, we used Bayesian deconvolution combined with 10 machine learning algorithms to build five-gene model The the five selected genes were externally validated. Various analyses prognosis, clinical subgroups, tumor microenvironment, immunity, genetic variants, drug sensitivity performed on MSMB/Epithelial_cells subgroups. Results: Our outperformed 102 previously published prognostic features. Notably, high proportion MSMB/epithelial cells characterized by greater progression-free Interval (PFI), higher early-stage tumors, lower stromal component, reduced presence tumor-associated fibroblasts (CAF). was also associated frequencies SPOP TP53 mutations. Drug analysis revealed that poorer prognosis cell ratio showed increased cyclophosphamide, cisplatin, dasatinib. Conclusions: developed study provides robust accurate tool It offers significant enhancing risk stratification informing personalized treatment strategies patients.

Language: Английский

Citations

0

Therapeutic Potential of lncRNAs in Regulating Disulfidptosis for Cancer Treatment DOI

Abida Abida,

Abdulmalik S A Altamimi,

Nehmat Ghaboura

et al.

Pathology - Research and Practice, Journal Year: 2024, Volume and Issue: 263, P. 155657 - 155657

Published: Oct. 16, 2024

Language: Английский

Citations

0

Identification and Characterisation of Potential Targets for N6-methyladenosine (m6A) Modification during Intervertebral Disc Degeneration DOI Creative Commons
Jianlin Shen, Qiang Zhang,

Yujian Lan

et al.

Frontiers in Bioscience-Landmark, Journal Year: 2024, Volume and Issue: 29(12)

Published: Nov. 28, 2024

The mechanism for RNA methylation during disc degeneration is unclear. aim of this study was to identify N6-methyladenosine (m6A) markers and therapeutic targets the prevention treatment intervertebral (IDD).

Language: Английский

Citations

0

Bioinformatics Identification and Experimental Verification of Disulfidptosis-Related Genes in the Progression of Osteoarthritis DOI Creative Commons
Siyang Cao, Yihao Wei, Yaohang Yue

et al.

Biomedicines, Journal Year: 2024, Volume and Issue: 12(8), P. 1840 - 1840

Published: Aug. 13, 2024

Osteoarthritis (OA) is a disabling and highly prevalent condition affecting millions worldwide. Recently discovered, disulfidptosis represents novel form of cell death induced by the excessive accumulation cystine. Despite its significance, systematic exploration disulfidptosis-related genes (DRGs) in OA lacking.

Language: Английский

Citations

0

Prognostic model based on disulfidptosis-related lncRNAs for predicting survival and therapeutic response in bladder cancer DOI Creative Commons
Han Li, Yang Hong, Xuan Jiang

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 2, 2024

With poor treatment outcomes and prognosis, bladder cancer remains a focus for clinical research in the precision oncology era. However, potential of disulfidptosis, novel cell death mechanism, its related long non-coding RNAs to support selective killing this disease is still unclear.

Language: Английский

Citations

0