Combination Therapies in Drug Repurposing: Personalized Approaches to Combatting Leukaemia and Multiple Myeloma DOI
Bernice A. Monchusi, Pritam N. Dube, Mutsa M. Takundwa

et al.

Advances in experimental medicine and biology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Genetic and Epigenetic Intersections in COVID-19-Associated Cardiovascular Disease: Emerging Insights and Future Directions DOI Creative Commons
Hussein Sabit, Borros Arneth, Afaf Altrawy

et al.

Biomedicines, Journal Year: 2025, Volume and Issue: 13(2), P. 485 - 485

Published: Feb. 16, 2025

The intersection of COVID-19 and cardiovascular disease (CVD) has emerged as a significant area research, particularly in understanding the impact antiplatelet therapies like ticagrelor clopidogrel. been associated with acute complications, including myocardial infarction, thrombosis, heart failure, exacerbated by virus's ability to trigger widespread inflammation endothelial dysfunction. MicroRNAs (miRNAs) play critical role regulating these processes modulating gene expressions involved platelet function, inflammation, vascular homeostasis. This study explores potential miRNAs such miR-223 miR-126 biomarkers for predicting resistance or responsiveness patients disease. Identifying miRNA signatures linked drug efficacy could optimize treatment strategies at high risk thrombotic events during infection. Moreover, miRNA-mediated pathways offers new insights into how SARS-CoV-2 exacerbates CVD, through mechanisms cytokine storms damage. findings this research lead personalized therapeutic approaches, improving patient outcomes reducing mortality COVID-19-associated events. With global implications, addresses urgent need effective management CVD context COVID-19, focusing on integration molecular enhance precision therapy.

Language: Английский

Citations

0

Effects of circulating RNAs on tumor metabolism in lung cancer (Review) DOI Open Access

Pengfei Zhao,

Zhengfeng Zhu, Xi Zheng

et al.

Oncology Letters, Journal Year: 2025, Volume and Issue: 29(4), P. 1 - 11

Published: Feb. 27, 2025

During the development and progression of lung cancer, cell metabolism function is altered. Thus, cells rely on aerobic glycolysis abnormal lipid amino acid to obtain energy nutrients for growth, proliferation drug resistance. Circular RNAs (circRNAs), a class non-coding RNAs, serve important biological roles in growth tumors. Functionally, circRNAs act as molecular sponges that absorb microRNAs (miRNAs) RNA-binding proteins protein scaffolds regulate gene transcription translation through maintenance mRNA stability. In addition, are regulators tumor promote mediating proliferation, metastasis induction chemoresistance. Results previous studies reveal may key role regulating metabolic processes miRNA sponging alternative mechanisms. demonstrate potential therapeutic targets cancer. The present study aimed review effects cancer provide novel insights into clinical treatment also theoretical basis targets.

Language: Английский

Citations

0

Mapping molecular landscapes in triple-negative breast cancer: insights from spatial transcriptomics DOI
Fares Saeed H. Al-Mansour, Hassan H. Almasoudi, Ali Albarrati

et al.

Naunyn-Schmiedeberg s Archives of Pharmacology, Journal Year: 2025, Volume and Issue: unknown

Published: March 22, 2025

Language: Английский

Citations

0

Editorial: Therapeutic mechanism of osteosarcoma DOI Creative Commons
Si–Yi Chen, Yang Wang

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

Published: April 8, 2025

Language: Английский

Citations

0

Beyond Biomarkers: Machine Learning-Driven Multiomics for Personalized Medicine in Gastric Cancer DOI Open Access
J. Daniel,

Canfeng Fan,

Tomoya Sano

et al.

Journal of Personalized Medicine, Journal Year: 2025, Volume and Issue: 15(5), P. 166 - 166

Published: April 24, 2025

Gastric cancer (GC) remains one of the leading causes cancer-related mortality worldwide, with most cases diagnosed at advanced stages. Traditional biomarkers provide only partial insights into GC’s heterogeneity. Recent advances in machine learning (ML)-driven multiomics technologies, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, pathomics, and radiomics, have facilitated a deeper understanding GC by integrating molecular imaging data. In this review, we summarize current landscape ML-based integration for GC, highlighting its role precision diagnosis, prognosis prediction, biomarker discovery achieving personalized medicine.

Language: Английский

Citations

0

Combination Therapies in Drug Repurposing: Personalized Approaches to Combatting Leukaemia and Multiple Myeloma DOI
Bernice A. Monchusi, Pritam N. Dube, Mutsa M. Takundwa

et al.

Advances in experimental medicine and biology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0