Results 181 to 190 of about 207,488 (262)

Stiffness‐Activated Stellate Cells Drive Pancreatic Cancer Liver Colonization via GMFG‐TNS4 Signaling

open access: yesAdvanced Science, EarlyView.
Fibrotic liver stiffness activates hepatic stellate cells through Piezo1‐dependent calcium influx and ER stress, promoting EV‐associated GMFG release. Delivered GMFG engages TNS4 in pancreatic cancer cells, triggering FAK/AKT signaling, adhesion, and fatty acid synthesis.
Biwen Zhu   +11 more
wiley   +1 more source

Adipocyte Myoglobin Is a Determinant of Energy Expenditure and a Potential Target to Limit Obesity

open access: yesAdvanced Science, EarlyView.
Myoglobin, known as a muscle oxygen‐carrying protein, is shown to play a key role in fat cells that burn energy. Loss of myoglobin reduces the body's ability to generate heat and increases obesity risk, while restoring it improves metabolism. The study identifies myoglobin as a regulator of fat burning and a potential target to enhance energy ...
Christian Strehlau   +22 more
wiley   +1 more source

Uncoupling Metastasis and Epithelial-to-Mesenchymal Transition in sgP19/kRAS-Driven Spontaneous Metastatic Liver Tumor Model. [PDF]

open access: yesAdv Sci (Weinh)
Wang J   +12 more
europepmc   +1 more source

Epithelial-to-mesenchymal transition and hepatolithiasis

open access: yesWorld Chinese Journal of Digestology, 2016
Li-Jin Zhao, Fang Wang
openaire   +1 more source

DHODH Drives Sunitinib Resistance Via a Non‐Enzymatic Mechanism by Inhibiting TRIM28 Ubiquitination and Consequent VEGFA Activation in RCC

open access: yesAdvanced Science, EarlyView.
This non‑enzymatic function of DHODH drives sunitinib resistance by competing with TRIM37 to block TRIM28 ubiquitination, thereby stabilizing TRIM28 and activating VEGFA transcription. Disrupting the DHODH–TRIM28 interaction with lisaftoclax restores drug sensitivity.
Shijie Qian   +10 more
wiley   +1 more source

Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature

open access: yesAdvanced Science, EarlyView.
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo   +14 more
wiley   +1 more source

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