Results 161 to 170 of about 276,970 (298)

Clinical relevance of PLK1 in epithelial ovarian cancer. [PDF]

Front Pharmacol
Shen X, Wang J, Chen S, Zhang H, Zhou C, Bae-Jump VL.   +5 more
europepmc   +1 more source

Extracellular Vesicles in Autoimmune Diseases: From Diagnostic Biomarkers to Engineered Therapeutics

Advanced Science, EarlyView.
This review provides a systematic comparison of extracellular vesicles (EVs) from both mammalian and plant sources in the context of autoimmune diseases. It highlights their emerging roles as precision biomarkers and engineered therapeutic platforms.
Yufei Wu, Huiyuan Ma, Tinghui Zhu, Shuwei Huang, Manxi Lu, Qiong Wang, Zai‐Long Chi   +6 more
wiley   +1 more source

Single‐Cell Morphomechanics of Prostate Cancer‐Associated Fibroblasts Identifies Distinct Features Associated with Patient Outcome

Advanced Science, EarlyView.
Cancer‐associated fibroblasts (CAFs) in prostate tumors exhibit distinct morphomechanical traits vs normal fibroblasts, including greater stiffness and volume, more elongated stress fibres, and larger and more elongated nuclei. These features, quantified through imaging and real‐time deformability cytometry, correlate with patient outcomes and can be ...
Antje Garside, Angela Jacobi, Shivakumar Keerthikumar, Vaibhav Mahajan, Michelle Richards, Birunthi Niranjan, Linda Teng, Nicholas Choo, Johannes Low Jun Wei, Gail P Risbridger, Mitchell G Lawrence, Anna V. Taubenberger   +11 more
wiley   +1 more source

Artificial intelligence for precision management of epithelial ovarian cancer: a comprehensive review. [PDF]

Front Med (Lausanne)
Liu Q, Zhang C, Li P, Jing R, Bi L, Chen W.   +5 more
europepmc   +1 more source

Modulation of Network Plasticity Opens Novel Therapeutic Possibilities in Cancer, Diabetes, and Neurodegeneration

Advanced Science, EarlyView.
Plasticity changes of molecular networks form a cellular learning process. Signaling network plasticity promotes cancer, metastasis, and drug resistance development. 55 plasticity‐related cancer drug targets are listed (20 having already approved drugs, 9 investigational drugs, and 26 being drug target candidates).
Márk Kerestély, István Narozsny, Levente Szarka, Daniel V. Veres, Peter Csermely, Dávid Keresztes   +5 more
wiley   +1 more source

MED12 Dictates Epithelial Ovarian Cancer Cell Ferroptosis Sensitivity via YAP-TEAD1 Signaling. [PDF]

Int J Mol Sci
Luo X, Ding Y, Wang Z, Liu J.
europepmc   +1 more source

CXC Chemokine‐Driven Vascular Reprogramming: Modulating Tumor Vasculature to Boost Therapeutic Response

Advanced Science, EarlyView.
Tumor vascular remodeling is discussed from a chemokine‐centered perspective. This review summarizes the bidirectional, temporal, and tissue‐specific roles of CXC chemokines in regulating vascular function and immune accessibility. A functional vascular normalization score is introduced as a conceptual framework to integrate dynamic vascular and immune
Hongdan Chen, Yinde Huang, Juntong Wu, Ziying Yi, Yao Li, Zeyu Yang, Fan Zhang, Chong Li   +7 more
wiley   +1 more source

Is high-density lipoprotein cholesterol a prognostic marker in epithelial ovarian cancer? [PDF]

Rev Assoc Med Bras (1992)
Uçar M, Yılmaz M, Erdiş E, Yücel B, Şakalar T.   +4 more
europepmc   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone, Beatrice Cavina, Daniele Gaetano Sirico, Martina Mugnano, Vittorio Bianco, Lisa Miccio, Anna Myriam Perrone, Anna Maria Porcelli, Giuseppe Gasparre, Ivana Kurelac, Pasquale Memmolo, Pietro Ferraro   +11 more
wiley   +1 more source

Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose

Advanced Intelligent Systems, EarlyView.
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk, Lingyin Meng, Christer Borgfeldt, Jens Eriksson, Donatella Puglisi   +4 more
wiley   +1 more source