The significant others of aurora kinase a in cancer: combination is the key DOI Creative Commons
Kumar Nikhil, Kavita Shah

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

Published: Sept. 27, 2024

Abstract AURKA is predominantly famous as an essential mitotic kinase. Recent findings have also established its critical role in a plethora of other biological processes including ciliogenesis, mitochondrial dynamics, neuronal outgrowth, DNA replication and cell cycle progression. overexpression numerous cancers strongly associated with poor prognosis survival. Still no AURKA-targeted drug has been approved yet, partially because the collateral toxicity partly due to limited efficacy single agent wide range tumors. Mechanistically, allows it phosphorylate pathological substrates promoting highly aggressive oncogenic phenotypes. Our review examines most recent advances regulation focuses on 33 such direct cancer-specific targets their signaling cascades. One common themes that emerge often involved feedback loop substrates, which could be decisive factor causing sustained upregulation hyperactivation cancer cells, Achilles heel not exploited before. This dynamic interplay between offers potential opportunities for targeted therapeutic interventions. By targeting these may possible disrupt this effectively reverse levels, thereby providing promising avenue developing safer therapeutics. Additionally, exploring synergistic effects inhibition and/or tumor-suppressor provide further effective combination therapies against AURKA-driven cancers, maximizing target.

Language: Английский

Exploring the association between rheumatoid arthritis and non-small cell lung cancer risk: a transcriptomic and drug target-based analysis DOI Creative Commons

Lyubo Wang,

Yan Dong,

Qingcheng Yang

et al.

Hereditas, Journal Year: 2025, Volume and Issue: 162(1)

Published: Feb. 27, 2025

Abstract Background Non-small cell lung cancer (NSCLC) is a common subtype of that has received considerable attention for its potential association with rheumatoid arthritis (RA). However, current understanding the relationship between RA and NSCLC risk remains limited in-depth studies molecular mechanisms are lacking. Methods We obtained transcriptomic data from Gene Expression Omnibus (GEO) database performed Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) analyses differential genes. then used Mendelian randomisation (MR) analysis to explore causal NSCLC, but results showed no direct NSCLC. In light this finding, we shifted our research focus investigate effect therapeutics on risk. A drug-targeted MR drugs available treatment was by searching target genes associated RA. Results found several corresponding treat By drugs, some do have an developing increasing Conclusion This study employed drug targets elucidate correlation The identification differentially expressed their provided new perspectives pathogenesis Furthermore, additional immune infiltration demonstrated that, in tissues, levels specific subpopulations, including regulatory T cells (Tregs), activated natural killer (NK cells) unpolarised macrophages (M0), exhibited notable differences. These findings emphasise significant role interactions may play disease progression. through validation histology, further confirmed development expression these differences samples, providing basis possible future therapeutic biomarkers.

Language: Английский

Citations

0
Exosomal mRNA Signatures as Predictive Biomarkers for Risk and Age of Onset in Alzheimer’s Disease DOI Open Access
Daniel Bolivar Pimiento, María Isabel Mosquera Heredia, Oscar M. Vidal

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(22), P. 12293 - 12293

Published: Nov. 15, 2024

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive cognitive decline and memory loss. While the precise causes of AD remain unclear, emerging evidence suggests that messenger RNA (mRNA) dysregulation contributes to pathology risk. This study examined exosomal mRNA expression profiles 15 individuals diagnosed with healthy controls from Barranquilla, Colombia. Utilizing advanced bioinformatics machine learning (ML) techniques, we identified differentially expressed mRNAs assessed their predictive power for diagnosis age onset (ADAOO). Our results showed ENST00000331581 (

Language: Английский

Citations

1
The significant others of aurora kinase a in cancer: combination is the key DOI Creative Commons
Kumar Nikhil, Kavita Shah

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

Published: Sept. 27, 2024

Abstract AURKA is predominantly famous as an essential mitotic kinase. Recent findings have also established its critical role in a plethora of other biological processes including ciliogenesis, mitochondrial dynamics, neuronal outgrowth, DNA replication and cell cycle progression. overexpression numerous cancers strongly associated with poor prognosis survival. Still no AURKA-targeted drug has been approved yet, partially because the collateral toxicity partly due to limited efficacy single agent wide range tumors. Mechanistically, allows it phosphorylate pathological substrates promoting highly aggressive oncogenic phenotypes. Our review examines most recent advances regulation focuses on 33 such direct cancer-specific targets their signaling cascades. One common themes that emerge often involved feedback loop substrates, which could be decisive factor causing sustained upregulation hyperactivation cancer cells, Achilles heel not exploited before. This dynamic interplay between offers potential opportunities for targeted therapeutic interventions. By targeting these may possible disrupt this effectively reverse levels, thereby providing promising avenue developing safer therapeutics. Additionally, exploring synergistic effects inhibition and/or tumor-suppressor provide further effective combination therapies against AURKA-driven cancers, maximizing target.

Language: Английский

Citations

0