Creation of signatures and identification of molecular subtypes based on disulfidptosis-related genes for glioblastoma patients' prognosis and immunological activity DOI Creative Commons
Dongjun Li, Xiaodong Li, Jianfeng Lv

et al.

Asian Journal of Surgery, Journal Year: 2024, Volume and Issue: 47(8), P. 3464 - 3477

Published: March 11, 2024

In recent times, disulfidptosis, an intricate form of cellular demise, has garnered attention due to its impact on prognosis, tumor progression and treatment response. Nevertheless, the exact significance disulfidptosis-related genes (DisRGs) in glioblastoma (GBM) remains enigmatic. The GEO TCGA databases provided transcriptional clinically relevant data samples, while GTEx database healthy tissues. Disulfidptosis-related were procured from previous scholarly investigations. expression profile DisRGs was initially scrutinized among patients diagnosed with GBM, subsequent which their prognostic value explored. Through consensus clustering, we constructed DisRGs-related clusters gene subtypes. Our results established that DisRG-related had differentially expressed genes, resulting a DisulfidptosisScore model, positive value. differential 24 between GBM samples acquired. cluster analysis, two distinct disulfidptosis subtypes, namely DisRGcluster A B, identified. Then, model including 4 characteristic constructed.Notably, assigned lower score demonstrated considerably longer overall survival (OS) compared those higher score. We have effectively devised associated presenting autonomous predictions for GBM. These findings serve as valuable addition current comprehension offer fresh theoretical substantiation development enhanced strategies.

Language: Английский

Integrative Disulfidptosis‐Based Risk Assessment for Prognostic Stratification and Immune Profiling in Glioma DOI Creative Commons

Xiaowang Niu,

Guangzhao Li, Ulf D. Kahlert

et al.

Journal of Cellular and Molecular Medicine, Journal Year: 2025, Volume and Issue: 29(4)

Published: Feb. 1, 2025

ABSTRACT Disulfidptosis, a new form of programmed cell death, plays role in multiple types cancer. However, research on disulfidptosis glioma is lacking. A disulfidptosis‐associated risk score was constructed using Cox regression modelling, while LASSO applied for feature selection. To explore the relationship between and immune microenvironment, we employed CIBERSORT, ssGSEA ESTIMATE algorithms. Additionally, wet lab experiments were conducted to validate functional key gene RPN1, demonstrating its ability promote proliferation migration. Disulfidptosis genes significantly upregulated gliomas, influencing clinical features survival. The effectively predicted OS varied among subgroups. High‐risk scores correlated with tumour growth, invasion immunosuppression. Patients different showed distinct infiltration patterns. Most checkpoints chemokines positively associated scores. Laboratory findings confirmed that RPN1 promoted Disulfidptosis‐based assessment stratifies prognosis reveals microenvironment characteristics, offering insights personalised treatment strategies.

Language: Английский

Citations

2
Disulfidptosis decoded: a journey through cell death mysteries, regulatory networks, disease paradigms and future directions DOI Creative Commons
Jinyu Chen,

Boyuan Ma,

Yubiao Yang

et al.

Biomarker Research, Journal Year: 2024, Volume and Issue: 12(1)

Published: April 29, 2024

Abstract Cell death is an important part of the life cycle, serving as a foundation for both orderly development and maintenance physiological equilibrium within organisms. This process fundamental, it eliminates senescent, impaired, or aberrant cells while also promoting tissue regeneration immunological responses. A novel paradigm programmed cell death, known disulfidptosis, has recently emerged in scientific circle. Disulfidptosis defined accumulation cystine by cancer with high expression solute carrier family 7 member 11 (SLC7A11) during glucose starvation. causes extensive disulfide linkages between F-actins, resulting their contraction subsequent detachment from cellular membrane, triggering death. The RAC1-WRC axis involved this phenomenon. sparked growing interest due to its potential applications variety pathologies, particularly oncology, neurodegenerative disorders, metabolic anomalies. Nonetheless, complexities regulatory pathways remain elusive, precise molecular targets have yet be definitively identified. manuscript aims meticulously dissect historical evolution, underpinnings, frameworks, implications disulfidptosis various disease contexts, illuminating promise groundbreaking therapeutic pathway target.

Language: Английский

Citations

12
Disulfidptosis, A Novel Cell Death Pathway: Molecular Landscape and Therapeutic Implications DOI Creative Commons

Qiuyang Gu,

Yumei An,

Mingyuan Xu

et al.

Aging and Disease, Journal Year: 2024, Volume and Issue: unknown, P. 0 - 0

Published: Jan. 1, 2024

Programmed cell death is pivotal for several physiological processes, including immune defense. Further, it has been implicated in the pathogenesis of developmental disorders and onset numerous diseases. Multiple modes programmed death, apoptosis, pyroptosis, necroptosis, ferroptosis, have identified, each with their own unique characteristics biological implications. In February 2023, Liu Xiaoguang his team discovered "disulfidptosis," a novel pathway death. Their findings demonstrated that disulfidptosis triggered glucose-starved cells exhibiting high expression protein called SLC7A11. Furthermore, marked by drastic imbalance NADPH/NADP+ ratio abnormal accumulation disulfides like cystine. These changes ultimately lead to destabilization F-actin network, causing Given SLC7A11 key feature certain cancers, these indicate could serve as basis innovative anti-cancer therapies. Hence, this review delves into discovery disulfidptosis, its underlying molecular mechanisms metabolic regulation, prospective applications disease treatment.

Language: Английский

Citations

7
Constructing a disulfidptosis-related prognostic signature of hepatocellular carcinoma based on single-cell sequencing and weighted co-expression network analysis DOI
Zelin Tian,

Junbo Song,

Jiang She

et al.

APOPTOSIS, Journal Year: 2024, Volume and Issue: 29(9-10), P. 1632 - 1647

Published: May 17, 2024

Language: Английский

Citations

6
Integrated analysis of disulfidptosis-related immune genes signature to boost the efficacy of prognostic prediction in gastric cancer DOI Creative Commons
Jie Li, Yu Tian, Juan Sun

et al.

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

Published: March 25, 2024

Abstract Background Gastric cancer (GC) remains a malignant tumor with high morbidity and mortality, accounting for approximately 1,080,000 diagnosed cases 770,000 deaths worldwide annually. Disulfidptosis, characterized by the stress-induced abnormal accumulation of disulfide, is recently identified form programmed cell death. Substantial studies have demonstrated significant influence immune clearance on progression. Therefore, we aimed to explore intrinsic correlations between disulfidptosis immune-related genes (IRGs) in GC, as well potential value disulfidptosis-related (DRIGs) biomarkers. Methods This study incorporated single-cell RNA sequencing (scRNA-seq) dataset GSE183904 transcriptome GC from TCGA database. Disulfidptosis-related (DRGs) IRGs were derived representative literature both immunity. The expression distribution DRGs investigated at level different types. Pearson correlation analysis was used identify closely related disulfidptosis. prognostic signature DRIGs established using Cox LASSO analyses. We then analyzed evaluated differences long-term prognosis, Gene Set Enrichment Analysis (GSEA), infiltration, mutation profile, CD274 expression, response chemotherapeutic drugs two groups. A tissue array containing 63 paired specimens verify 4 regulator SLC7A11 through immunohistochemistry staining. Results scRNA-seq found that , SLC3A2 RPN1 NCKAP1 enriched specific types infiltration. Four DIRGs ( GLA HIF-1α VPS35 CDC37 ) successfully establish potently predict survival time patients. Patients risk scores generally experienced worse prognoses exhibited greater resistant classical chemotherapy drugs. Furthermore, elevated tissues. or associated more advanced clinical stage increased expression. Conclusion Current first highlights biomarkers GC. constructed robust model incorporating four accurately clinicopathological characteristics

Language: Английский

Citations

5
Identification and validation of cuproptosis and disulfidptosis related genes in colorectal cancer DOI
Xiaoqing Gong, Qixian Wu,

Zhenlin Tan

et al.

Cellular Signalling, Journal Year: 2024, Volume and Issue: 119, P. 111185 - 111185

Published: April 21, 2024

Language: Английский

Citations

5
The development of prognostic gene markers associated with disulfidptosis in gastric cancer and their application in predicting drug response DOI Creative Commons
Xing Liu,

Jianghong Ou

Heliyon, Journal Year: 2024, Volume and Issue: 10(4), P. e26013 - e26013

Published: Feb. 1, 2024

BackgroundGastric cancer (GC) is a malignancy known for its high fatality rate. Disulfidptosis, potentially innovative therapeutic strategy treatment, has been proposed. Nevertheless, the specific involvement of disulfidptosis in context GC remains uncertain.MethodsThe mRNA expression profiles were obtained from TCGA and GEO databases. Univariate LASSO Cox regression analyses employed to identify differentially expressed genes develop risk model disulfidptosis-related genes. The performance was evaluated using Kaplan-Meier curve, ROC nomogram. multivariate conducted determine if could serve as an independent prognostic factor. biological function identified assessed through GO, KEGG, GSEA analyses. prediction drug response employing package "pRRophetic". Furthermore, gene determined qRT-PCR.ResultsAn eight-gene signature utilized categorize patients into low- high-risk groups. Survival, receiver operating characteristic (ROC) provided clarification that these eight hub served favorable factor with GC. A nomogram constructed by integrating clinical parameters signatures, demonstrating precision predicting 1-, 3-, 5-year survival rates. Additionally, sensitivity different low-risk groups, three verified qRT-PCR.ConclusionThe developed this study demonstrates potential accurately forecast prognosis

Language: Английский

Citations

4
Exploring the role of disulfidptosis-related signatures in immune microenvironment, prognosis and therapeutic strategies of cervical cancer DOI Creative Commons

Tianzhe Jin,

Ting Yin,

Ruiyi Xu

et al.

Translational Oncology, Journal Year: 2024, Volume and Issue: 44, P. 101938 - 101938

Published: March 15, 2024

Cervical cancer is characterized by a complex immunosuppressive tumor microenvironment (TME). Disulfidptosis recently identified form of programmed cell death that has emerged as crucial factor in tumorigenesis. However, the research on specific involvement disulfidptosis within TME still its early stages. Under glucose starvation, SiHa and HeLa cells underwent experiments employing diverse inhibitors SLC7A11 knockdown to observe their impact survival. TCGA-CESC cohort was subjected consensus clustering for disulfidptosis-related clusters. Prognosis, function, immune infiltration, differentially expressed genes (DEGs) evaluations among clusters were compared. A prognostic model based DEGs regulator (DRGs) constructed internally externally validated. The correlation between YWHAG clinicopathological characteristics cervical patients investigated at both mRNA protein levels. Proliferation migration assays performed uncover roles cancer. Experimental validation confirmed lines. classified into three DRGs, showing notably improved prognosis increased infiltration cluster B. developed effectively stratified high- low-risk groups. Low-risk exhibited more favorable responses immunotherapy overall prognosis. Additionally, YWHAG, recognized tumor-promoting gene, demonstrated active enhancing growth, migration, invasion cells. Our proposed cancer, probably contributing traits potent strategy exploration.

Language: Английский

Citations

4
A Novel Disulfidptosis‐Related Risk Signature for Prognostic Prediction in Patients With Ewing Sarcoma DOI Open Access

Chunqing Che,

Dianbin Song,

Peng Xue

et al.

Journal of Orthopaedic Research®, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 7, 2025

ABSTRACT Ewing sarcoma (ES) is a malignant bone tumor prevalent among children and adolescents. Disulfidptosis represents novel form of cell death; however, the mechanism disulfidptosis in ES remains unclear. Our aim to explore disulfidptosis‐related prognostic signature ES. Utilizing transcriptomic clinical data ES, hub genes (DRHGs) were identified by differential gene expression analysis Least Absolute Shrinkage Selection Operator (LASSO) Cox regression analysis. A risk score model (DRRS) was constructed based on these DRHGs. The performance DRRS assessed using survival receiver operating characteristic curve Immune infiltration different subgroups correlations between antitumor reagents also analyzed. In this study, we developed feature LRPPRC (leucine rich pentatricopeptide repeat containing), IQGAP1 (IQ motif containing GTPase activating protein 1), NDUFS1 (NADH:ubiquinone oxidoreductase core subunit S1), TLN1 (talin which may serve as predictive independent factor for patients high‐risk group exhibited poorer prognosis, had higher proportion myeloid‐derived suppressor cells (MDSCs) M2 type tumor‐associated macrophages, showed heightened sensitivity some agents such nilotinib olaparib. This study first construct that predict prognosis immune response patients, thereby providing new reference understanding mechanisms guiding immunotherapy.

Language: Английский

Citations

0
Bioinformation study of immune microenvironment characteristics of disulfidptosis-related subtypes in ovarian cancer and prognostic model construction DOI Creative Commons
Ying Zhou, Y Zhang, Yang Zhou

et al.

Discover Oncology, Journal Year: 2025, Volume and Issue: 16(1)

Published: Jan. 8, 2025

Ovarian cancer significantly impacts women's reproductive health and remains challenging to diagnose treat. Despite advancements in understanding DNA repair mechanisms identifying novel therapeutic targets, additional strategies are still needed. Recently, a form of cell death called disulfidptosis, which is triggered by glucose deprivation, has been linked treatment resistance changes the tumor microenvironment (TME). However, its role ovarian not well understood. Bioinformatics analysis was performed on RNA-seq data from TCGA GEO databases identify disulfidptosis-related genes cancer. Differential expression pathway enrichment were conducted, followed development prognostic model using LASSO Cox regression, validated with datasets (GSE13876, GSE26712). Clinical samples analyzed quantitative polymerase chain reaction (qPCR) immunohistochemistry (IHC) validate gene expression. This study identified subtypes demonstrated their influence (TME), immunotherapy responses, patient prognosis. Six (IFNB1, IGF2, CD40LG, IL1B, IL21, CD38) associated disulfidptosis incorporated into model. predicted outcomes externally. validation showed accuracy predicting progression-free survival platinum-based chemotherapy. Our findings highlight significant impact microenvironment, providing insights that could support clinical evaluations personalized strategies.

Language: Английский

Citations

0