Comprehensive analysis of the value of angiogenesis and stemness‐related genes in the prognosis and immunotherapy of ovarian cancer DOI Creative Commons
Linsen Zhou, Yu Min, Qiqi Cao

et al.

BioFactors, Journal Year: 2024, Volume and Issue: 51(1)

Published: Dec. 20, 2024

Abstract Tumor angiogenesis and the presence of cancer stem cells (CSCs) are critical characteristics tumors. Previous research has demonstrated that promote tumor angiogenesis, while increased vascularity, in turn, fosters growth cells. This creates a detrimental cycle contributes to progression. However, studies investigating stemness ovarian (OV) limited. In this study, we employed cluster analysis LASSO methods assess significance angiogenesis‐ stemness‐related genes efficacy OV immunotherapy. Through multivariate Cox regression Friends analysis, identified TNFSF11 as most significant prognostic gene associated with stemness. Additionally, molecular docking results confirmed exhibits high affinity for sorafenib sunitinib. summary, first time, conducted comprehensive roles prognosis immunotherapy patients, revealing novel therapeutic target.

Language: Английский

Exosomal insights into ovarian cancer stem cells: revealing the molecular hubs DOI Creative Commons
Kiana Sojoudi, Maryam Solaimani, Hossein Azizi

et al.

Journal of Ovarian Research, Journal Year: 2025, Volume and Issue: 18(1)

Published: Jan. 31, 2025

Ovarian cancer is a deadly disease, often diagnosed at advanced stages due to lack of reliable biomarkers. Exosomes, which carry variety molecules such as proteins, lipids, DNA, and non-coding RNAs, have recently emerged promising tools for early detection. While exosomes been studied in various types, comprehensive network analyses exosome proteins ovarian remain limited. In this study, we used protein-protein interaction (PPI) network. Using the Clustermaker2 app MCODE algorithm, identified six significant clusters within network, highlighting regions involved functional pathways. A four-fold algorithmic approach, including MCC, DMNC, Degree, EPC, 12 common hub genes. STRING analysis visualization techniques provided detailed understanding biological processes associated with these Notably, 91.7% genes were translational processes, showing an important role protein synthesis regulation cancer. addition, miRNAs LncRNAs carried by exosomes. These findings highlight potential biomarkers detection therapeutic targets.

Language: Английский

Citations

0
Comprehensive analysis of the value of angiogenesis and stemness‐related genes in the prognosis and immunotherapy of ovarian cancer DOI Creative Commons
Linsen Zhou, Yu Min, Qiqi Cao

et al.

BioFactors, Journal Year: 2024, Volume and Issue: 51(1)

Published: Dec. 20, 2024

Abstract Tumor angiogenesis and the presence of cancer stem cells (CSCs) are critical characteristics tumors. Previous research has demonstrated that promote tumor angiogenesis, while increased vascularity, in turn, fosters growth cells. This creates a detrimental cycle contributes to progression. However, studies investigating stemness ovarian (OV) limited. In this study, we employed cluster analysis LASSO methods assess significance angiogenesis‐ stemness‐related genes efficacy OV immunotherapy. Through multivariate Cox regression Friends analysis, identified TNFSF11 as most significant prognostic gene associated with stemness. Additionally, molecular docking results confirmed exhibits high affinity for sorafenib sunitinib. summary, first time, conducted comprehensive roles prognosis immunotherapy patients, revealing novel therapeutic target.

Language: Английский

Citations

2