Prognosis prediction and drug guidance of ovarian serous cystadenocarcinoma through mitochondria gene-based model DOI Creative Commons
Dongsheng Shen, Chenghao Wu, Meiyi Chen

et al.

Cancer Genetics, Journal Year: 2024, Volume and Issue: 292-293, P. 1 - 13

Published: Dec. 29, 2024

Mitochondrial dysregulation contributes to the chemoresistance of multiple cancer types. Yet, functions mitochondrial in Ovarian serous cystadenocarcinoma (OSC) remain largely unknown.

Language: Английский

Horizontal mitochondrial transfer in cancer biology: Potential clinical relevance DOI
Michael V. Berridge, Renata Zobalová, Štěpána Boukalová

et al.

Cancer Cell, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

1

Metabolic landscape of disseminated cancer dormancy DOI
Stanislav Drápela, Bruna Martins Garcia, Ana P. Gomes

et al.

Trends in cancer, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

Citations

1

Identification of a Novel Mesenchymal Stem Cell–Related Signature for Predicting the Prognosis and Therapeutic Responses of Bladder Cancer DOI Creative Commons
Enguang Yang,

Luhua Ji,

Xinyu Zhang

et al.

Stem Cells International, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

Background: Mesenchymal stem cells (MSCs) have been identified to a unique migratory pattern toward tumor sites across diverse cancer types, playing crucial role in progression, treatment resistance, and immunosuppression. This study aims formulate prognostic model focused on MSC‐associated markers efficiently predict the clinical outcomes responses therapy individuals with bladder (BC). Methods: Clinical transcriptome profiling data were extracted from The Cancer Genome Atlas Urothelial Bladder Carcinoma (TCGA‐BLCA) GSE31684 databases. Systematic quantification of MSC prevalences stromal indices was undertaken, culminating discernment genes correlated MSCs following thorough application weighted gene coexpression network analysis techniques. Subsequently, an exhaustive risk signature pertinent formulated by amalgamating methods univariate Least Absolute Shrinkage Selection Operator (LASSO) Cox regression models. Drugs targeting associated screened using molecular docking. Results: for incorporated five critical genes: ZNF165, matrix remodeling‐associated 7 (MXRA7), CEMIP, ADP‐ribosylation factor‐like 4C (ARL4C), cerebral endothelial cell adhesion molecule (CERCAM). In case BC patients, stratification performed into discrete categories, utilizing median score as criterion. It striking that those classified within high‐MSC‐risk bracket demonstrated correlations unfavorable implications. Enhanced responsiveness immunotherapy low‐MSC‐risk patients delineated compared their counterparts. A heightened receptivity noted particular chemotherapy drugs, encompassing gemcitabine, vincristine, paclitaxel, gefitinib, sorafenib, this high‐risk group. Conversely, superior reaction cisplatin distinctly evident among marked low scores. results docking kaempferol exhibited favorable quercetin MXRA7, mairin limonin diosphenol ARL4C. Conclusions: five‐gene demonstrates substantial efficacy prognosticating gauging regimens. ARL4C, CERCAM are underscored promising candidates warranting further exploration anti‐MSC therapeutic strategies, thereby offering novel insights personalized approaches BC.

Language: Английский

Citations

0

Unveiling the power of mitochondrial transfer in cancer progression: a perspective in ovarian cancer DOI Creative Commons
Caixia Wang, Chuan Xie

Journal of Ovarian Research, Journal Year: 2024, Volume and Issue: 17(1)

Published: Nov. 23, 2024

Mitochondria are dynamic organelles integral to metabolic processes, coordination of essential biological pathways, and oncogenesis tumor progression. Recent studies have revealed that mitochondria can be transferred between cells via multiple mechanisms, implicating their involvement in the pathogenesis progression ovarian cancer. This review provides a comprehensive analysis intercellular mitochondrial transfer within context cancer its microenvironment. We also propose targeted pathways therapeutic strategies could utilized modulate diseases associated with therapy. Finally, we examine recent advancements this field identify several unresolved questions.

Language: Английский

Citations

0

Prognosis prediction and drug guidance of ovarian serous cystadenocarcinoma through mitochondria gene-based model DOI Creative Commons
Dongsheng Shen, Chenghao Wu, Meiyi Chen

et al.

Cancer Genetics, Journal Year: 2024, Volume and Issue: 292-293, P. 1 - 13

Published: Dec. 29, 2024

Mitochondrial dysregulation contributes to the chemoresistance of multiple cancer types. Yet, functions mitochondrial in Ovarian serous cystadenocarcinoma (OSC) remain largely unknown.

Language: Английский

Citations

0