Results 161 to 170 of about 4,917,056 (342)

β‐Catenin/c‐Myc Axis Modulates Autophagy Response to Different Ammonia Concentrations

open access: yesAdvanced Biology, Volume 9, Issue 3, March 2025.
Ammonia, detoxified by the liver into urea and glutamine, impacts autophagy differently at varying levels. Low ammonia activates autophagy via c‐Myc and β‐catenin, while high levels suppress it. Using Huh7 cells and Spf‐ash mice, c‐Myc's role in cytoprotective autophagy is revealed, offering insights into hyperammonemia and potential therapeutic ...
S. Sergio   +11 more
wiley   +1 more source

Body mass index and gastric cancer risk: results from the Stomach Cancer Pooling Project Consortium. [PDF]

open access: yesInt J Epidemiol
Pastorino R   +25 more
europepmc   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

open access: yesAdvanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Fish consumption and gastric cancer within the Stomach cancer Pooling (StoP) Project. [PDF]

open access: yesSci Rep
Franchi C   +46 more
europepmc   +1 more source

[Retracted] Study of miR-143 expression in stomach cancer. [PDF]

open access: yesOncol Lett, 2023
Huang SJ   +5 more
europepmc   +1 more source

An analysis of 5 “stomach cancer families” in the State of Utah [PDF]

open access: bronze, 1961
Charles M. Woolf, E. Arnold Isaacson
openalex   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

The chemopreventive effects of native Brazilian plants on stomach cancer: A review of the last 25 years. [PDF]

open access: yesOncoscience
Lemos IL   +6 more
europepmc   +1 more source

Geographical distribution of stomach cancer in Czechoslovakia. [PDF]

open access: bronze, 1969
O Gregor   +4 more
openalex   +1 more source

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