Analysis and experimental validation of disulfidptosis related genes solute carrier family 3 member 2 (SLC3A2) in endometrial cancer DOI Creative Commons

Bo Wang,

Wantong Wang,

Yuting Wang

et al.

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

Published: Nov. 28, 2024

Disulfidptosis, a novel cell death paradigm triggered by disulfide stress, remains underexplored, particularly its implications for endometrial cancer (EC). This study focused on the prognostic significance of disulfidptosis-related genes (DRGs) in EC, highlighting pivotal role SLC3A2. To predict EC patient outcomes, we developed model centered DRGs, employing LASSO-Cox regression construction. The revealed strong correlation between DRG risk score, gene set enrichment analysis (GSEA), single-sample GSEA (ssGSEA), clinical characteristics, tumor microenvironment (TME), and response to immunotherapy. Key were pinpointed using random forest maps. establish SLC3A2's oncogenic effects conducted comprehensive studies including apoptosis, cycle, TRANSWELL, CCK-8, xenograft assays. SLC3A2 expression was further confirmed via qRT-PCR. impact EC's malignant behavior corroborated through both vitro vivo experiments.

Language: Английский

Exploring prognosis and therapeutic strategies for HBV-HCC patients based on disulfidptosis-related genes DOI Creative Commons
Chunyu Zhang, Xing Zhang, Shengjie Dai

et al.

Frontiers in Genetics, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 15, 2025

Background Hepatocellular carcinoma (HCC) accounts for over 80% of primary liver cancers and is the third leading cause cancer-related deaths worldwide. Hepatitis B virus (HBV) infection etiological factor. Disulfidptosis a newly discovered form regulated cell death. This study aims to develop novel HBV-HCC prognostic signature related disulfidptosis explore potential therapeutic approaches through risk stratification based on disulfidptosis. Methods Transcriptomic data from patients were analyzed identify BHDRGs. A model was established validated using machine learning, with internal datasets external verification. We then performed immune infiltration analysis, tumor microenvironment (TME) immunotherapy-related analysis signature. Besides, RT-qPCR immunohistochemistry conducted. Results constructed five genes ( DLAT , STC2 POF1B S100A9 CPS1 ). corresponding nomogram developed riskScores, age, stage. Stratification by median score revealed significant correlation between TME, infiltration, immunotherapy efficacy, drug sensitivity. The results experiments indicate that expression higher in tissues compared adjacent tissues. normal Conclusion stratifies into distinct subgroups BHDRGs, establishing implications prognosis assessment, TME remodeling, personalized therapy patients.

Language: Английский

Citations

0

Disulfidptosis in tumor progression DOI Creative Commons

Senlin Wan,

Cong Liang,

Chunfeng Wu

et al.

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

FN1, a reliable prognostic biomarker for thyroid cancer, is associated with tumor immunity and an unfavorable prognosis DOI Open Access

Huili Pan,

Zhiyan Luo,

Lin Feng

et al.

Oncology Letters, Journal Year: 2024, Volume and Issue: 28(5)

Published: Aug. 26, 2024

Thyroid cancer (THCA) is a malignant tumor that affects the endocrine system. At present, an effective treatment for THCA remains elusive, particularly medullary carcinoma and undifferentiated carcinoma, due to lack of suitable medications prognostic markers. Patient RNA‑sequencing clinical data were obtained from The Cancer Genome Atlas Genotype‑Tissue Expression databases. Protein‑protein interaction analyses performed differentially expressed genes related THCA. Moreover, associations between fibronectin 1 (FN1), data, immune checkpoint cell infiltration was assessed. potential functional role FN1 gene evaluated through set enrichment analysis. Immunohistochemistry used assess expression in 103 cases THCA, comprising 32 with papillary 30 follicular 35 6 carcinoma. Finally, 11 co‑expression modules constructed five identified hub (FN1, mucin‑1, keratin 19, intracellular adhesion molecule neural molecule) evaluated. results demonstrated higher levels strongly associated pathologic stage stage, significantly Significant increases protein noted among patients diagnosed four types Patients low levels, exhibited significant survival advantage compared those high levels. In conclusion, present study involved onset progression Furthermore, could serve as candidate biomarker therapeutic target may be key mediating infiltration.

Language: Английский

Citations

2

A disulfidptosis-related lncRNAs cluster to forecast the prognosis and immune landscapes of ovarian cancer DOI Creative Commons

Jiahui Wei,

Ming Wang,

Yumei Wu

et al.

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

Analysis and experimental validation of disulfidptosis related genes solute carrier family 3 member 2 (SLC3A2) in endometrial cancer DOI Creative Commons

Bo Wang,

Wantong Wang,

Yuting Wang

et al.

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

Published: Nov. 28, 2024

Disulfidptosis, a novel cell death paradigm triggered by disulfide stress, remains underexplored, particularly its implications for endometrial cancer (EC). This study focused on the prognostic significance of disulfidptosis-related genes (DRGs) in EC, highlighting pivotal role SLC3A2. To predict EC patient outcomes, we developed model centered DRGs, employing LASSO-Cox regression construction. The revealed strong correlation between DRG risk score, gene set enrichment analysis (GSEA), single-sample GSEA (ssGSEA), clinical characteristics, tumor microenvironment (TME), and response to immunotherapy. Key were pinpointed using random forest maps. establish SLC3A2's oncogenic effects conducted comprehensive studies including apoptosis, cycle, TRANSWELL, CCK-8, xenograft assays. SLC3A2 expression was further confirmed via qRT-PCR. impact EC's malignant behavior corroborated through both vitro vivo experiments.

Language: Английский

Citations

0