Dysbindin Domain-Containing 1 in Prostate Cancer: New Insights into Bioinformatic Validation of Molecular and Immunological Features DOI Open Access

Van Thi Ngoc Tram,

Hoang Dang Khoa Ta,

Gangga Anuraga

et al.

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(15), P. 11930 - 11930

Published: July 25, 2023

Prostate cancer (PCa) is one of the most prevalent cancers in men, yet its pathogenic pathways remain poorly understood. Transcriptomics and high-throughput sequencing can help uncover diagnostic targets understand biological circuits. Using prostate adenocarcinoma (PRAD) datasets various web-based applications (GEPIA, UALCAN, cBioPortal, SR Plot, hTFtarget, Genome Browser, MetaCore), we found that upregulated dysbindin domain-containing 1 (DBNDD1) expression primary tumors was strongly correlated with involving cell cycle, mitotic KEGG, WIKI, REACTOME database, transcription factor-binding sites DBNDD1 gene samples. influenced by sample type, stage, promoter methylation levels different cancers, such as PRAD, liver hepatocellular carcinoma (LIHC), lung (LUAD). Regulation glycogen synthase kinase (GSK)-3β bipolar disorder ATP/ITP/GTP/XTP/TTP/CTP/UTP metabolic closely co-expressed genes PCa. positively associated immune infiltration B cells, Myeloid-derived suppressor (MDSC), M2 macrophages, andneutrophil, whereas negatively CD8+ T follicular helper M1 NK cells These findings suggest may serve a viable prognostic marker not only for early-stage PCa but also immunotherapies.

Language: Английский

Transcriptomic analysis of human Castration-Resistant prostate cancer: insights into novel therapeutic strategies DOI
G. Ramanjaneyulu,

Sneha Jaiswal,

Anaswara Jayan

et al.

Computational Biology and Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 108459 - 108459

Published: April 1, 2025

Language: Английский

Citations

0
Transcriptomic signatures of prostate cancer progression: a comprehensive RNA-seq study DOI
Shristi Modanwal, Viswajit Mulpuru, Ashutosh Mishra

et al.

3 Biotech, Journal Year: 2025, Volume and Issue: 15(5)

Published: April 19, 2025

Language: Английский

Citations

0
LncRNA/miRNA/mRNA Network Introduces Novel Biomarkers in Prostate Cancer DOI Creative Commons
Mohammad Taheri, Arash Safarzadeh, Bashdar Mahmud Hussen

et al.

Cells, Journal Year: 2022, Volume and Issue: 11(23), P. 3776 - 3776

Published: Nov. 25, 2022

The construction of a competing endogenous RNA (ceRNA) network is an important step in the identification role differentially expressed genes cancers. In current research, we used number bioinformatics tools to construct ceRNA prostate cancer and identify importance these modules predicting survival patients with this type cancer. An assessment microarray data normal samples using Limma package led differential (DE) RNAs that stratified into mRNA, lncRNA, miRNAs, resulting 684 DEmRNAs, including 437 downregulated DEmRNAs (such as TGM4 SCGB1A1) 241 upregulated TDRD1 CRISP3); 6 DElncRNAs, 1 DElncRNA (H19) 5 DElncRNAs PCA3 PCGEM1); 59 DEmiRNAs, 30 DEmiRNAs hsa-miR-1274a hsa-miR-1274b) 29 hsa-miR-1268 hsa-miR-1207-5p). contained total lncRNAs, 17 mRNAs. We identified hsa-miR-17, hsa-miR-93, hsa-miR-150, hsa-miR-25, PART1, hsa-miR-125b, PCA3, H19, RND3, ITGB8 10 hub network. According ROC analysis, expression levels 19 showed high diagnostic value. Taken together, introduce novel promising biomarkers for

Language: Английский

Citations

16
Correlation analysis between immune-related genes and cell infiltration revealed prostate cancer immunotherapy biomarkers linked to T cells gamma delta DOI Creative Commons
Wenkang Niu, Tingting Zhang, Lei Ma

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Feb. 11, 2023

Abstract Prostate cancer (PCa) is a urological malignancy with poor prognosis. Immune-related genes are associated immune infiltration in prostate cancer, but their role immunogenic PCa less well understood. We assessed the patterns of 22 cells and relationship immune-related differentially expressed (IDEGs) them. The 87 IDEGs involved interaction between extracellular matrix tumor microenvironment. model, including seven (SLPI, DES, IAPP, NPY, ISG15, PLA2G2A, HLA-DMB), showed good predictive power. SLPI expression positively correlated level T gamma delta. In addition, has high levels Macrophages M1 (18.07%) Dendritic activated (17.64%). correlation analysis cell suggested that immunotherapy biomarkers may be closely related to

Language: Английский

Citations

5
The role of the adenylate kinase 5 gene in various diseases and cancer DOI Creative Commons

Mahmood S. Siddiqui,

Mehdi Hayat Shahi, Javier S. Castresana

et al.

Journal of Clinical and Translational Science, Journal Year: 2024, Volume and Issue: 8(1)

Published: Jan. 1, 2024

Adenylate kinases (AKs) are important enzymes involved in cellular energy metabolism. Among AKs, AK5 (adenylate kinase 5), a cytosolic protein, is emerging as significant contributor to various diseases and processes. This comprehensive review integrates findings from research groups on since its discovery, shedding light multifaceted roles nucleotide metabolism, regulation, differentiation. We investigate implications spectrum of diseases, including autoimmune encephalitis, epilepsy, neurodegenerative disorders such Alzheimer's Parkinson's, diabetes, lower extremity arterial disease, celiac cancers. Notably, AK5's expression levels methylation status have been associated with cancer progression patient outcomes, indicating potential prognostic indicator. Furthermore, implicated regulating processes breast cancer, gastric colorectal carcinoma, prostate colon adenocarcinoma, suggesting relevance across different types. However, limitation lies the need for more robust clinical validation deeper understanding precise mechanisms disease pathogenesis, despite association pathophysiological conditions. Nonetheless, holds promise therapeutic target, evidence therapy development.

Language: Английский

Citations

1
Unveiling four axes ADAMTS9-AS2|MEG3/hsa-miR-150/PRKCA|MMP14 within prostate cancer through establishment of the ceRNA network DOI Creative Commons
Mohammad Taheri, Arash Safarzadeh, Aria Baniahmad

et al.

Pathology - Research and Practice, Journal Year: 2024, Volume and Issue: 263, P. 155604 - 155604

Published: Sept. 25, 2024

Prostate cancer is among the most common cancers in males. Recent application of system biology methods has resulted identification key genes process carcinogenesis. In current study, we selected two datasets related to prostate (PCa) and performed bulk RNA-seq analysis by selecting samples with Gleason scores greater than 7 combining them. Subsequently, using several systems approaches, constructed ceRNA network ultimately identified axes PCa. Our analyses revealed importance ADAMTS9-AS2/miR-150/PRKCA, ADAMTS9-AS2/miR-150/MMP14, MEG3/miR-150/PRKCA MEG3/miR-150/MMP14 miR-150 being a central component. Remarkably, exhibited strong statistical significance survival analyses. Further, analyzing expression levels from TCGA datasets, associates significantly compared normal tissue confirming bioinformatic Therefore, these can be regarded as prognostic markers pathways are potential targets for therapeutic interventions.

Language: Английский

Citations

1
Dysbindin Domain-Containing 1 in Prostate Cancer: New Insights into Bioinformatic Validation of Molecular and Immunological Features DOI Open Access

Van Thi Ngoc Tram,

Hoang Dang Khoa Ta,

Gangga Anuraga

et al.

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(15), P. 11930 - 11930

Published: July 25, 2023

Prostate cancer (PCa) is one of the most prevalent cancers in men, yet its pathogenic pathways remain poorly understood. Transcriptomics and high-throughput sequencing can help uncover diagnostic targets understand biological circuits. Using prostate adenocarcinoma (PRAD) datasets various web-based applications (GEPIA, UALCAN, cBioPortal, SR Plot, hTFtarget, Genome Browser, MetaCore), we found that upregulated dysbindin domain-containing 1 (DBNDD1) expression primary tumors was strongly correlated with involving cell cycle, mitotic KEGG, WIKI, REACTOME database, transcription factor-binding sites DBNDD1 gene samples. influenced by sample type, stage, promoter methylation levels different cancers, such as PRAD, liver hepatocellular carcinoma (LIHC), lung (LUAD). Regulation glycogen synthase kinase (GSK)-3β bipolar disorder ATP/ITP/GTP/XTP/TTP/CTP/UTP metabolic closely co-expressed genes PCa. positively associated immune infiltration B cells, Myeloid-derived suppressor (MDSC), M2 macrophages, andneutrophil, whereas negatively CD8+ T follicular helper M1 NK cells These findings suggest may serve a viable prognostic marker not only for early-stage PCa but also immunotherapies.

Language: Английский

Citations

3