Role of glutathione in cancer: from mechanisms to therapies
Glutathione (GSH) is the most abundant non-protein thiol present at millimolar
concentrations in mammalian tissues. As an important intracellular antioxidant, it acts as a …
concentrations in mammalian tissues. As an important intracellular antioxidant, it acts as a …
Boron neutron capture therapy: Current status and future perspectives
MA Dymova, SY Taskaev, VA Richter… - Cancer …, 2020 - Wiley Online Library
The development of new accelerators has given a new impetus to the development of new
drugs and treatment technologies using boron neutron capture therapy (BNCT). We …
drugs and treatment technologies using boron neutron capture therapy (BNCT). We …
High‐throughput metabolomics by 1D NMR
Metabolomics deals with the whole ensemble of metabolites (the metabolome). As one of
the‐omic sciences, it relates to biology, physiology, pathology and medicine; but metabolites …
the‐omic sciences, it relates to biology, physiology, pathology and medicine; but metabolites …
Metabolic reprogramming in glioma
M Strickland, EA Stoll - Frontiers in cell and developmental biology, 2017 - frontiersin.org
Many cancers have long been thought to primarily metabolize glucose for energy production—
a phenomenon known as the Warburg Effect, after the classic studies of Otto Warburg in the …
a phenomenon known as the Warburg Effect, after the classic studies of Otto Warburg in the …
A review of applications of metabolomics in cancer
RD Beger - Metabolites, 2013 - mdpi.com
Cancer is a devastating disease that alters the metabolism of a cell and the surrounding
milieu. Metabolomics is a growing and powerful technology capable of detecting hundreds …
milieu. Metabolomics is a growing and powerful technology capable of detecting hundreds …
Machine learning methods for analysis of metabolic data and metabolic pathway modeling
M Cuperlovic-Culf - Metabolites, 2018 - mdpi.com
Machine learning uses experimental data to optimize clustering or classification of samples
or features, or to develop, augment or verify models that can be used to predict behavior or …
or features, or to develop, augment or verify models that can be used to predict behavior or …
[HTML][HTML] Metabolites as extracellular vesicle cargo in health, cancer, pleural effusion, and cardiovascular diseases: An emerging field of study to diagnostic and …
Y Zhang, F Liang, DD Zhang, S Qi, Y Liu - Biomedicine & Pharmacotherapy, 2023 - Elsevier
Extracellular vesicles (EVs) are highly diverse nanoscale membrane-bound structures
released from different cell types into the extracellular environment. They play essential …
released from different cell types into the extracellular environment. They play essential …
Targeting glutamine addiction in gliomas
M Obara-Michlewska, M Szeliga - Cancers, 2020 - mdpi.com
The most common malignant brain tumors are those of astrocytic origin, gliomas, with the
most aggressive glioblastoma (WHO grade IV) among them. Despite efforts, medicine has …
most aggressive glioblastoma (WHO grade IV) among them. Despite efforts, medicine has …
A comparison of different machine-learning techniques for the selection of a panel of metabolites allowing early detection of brain tumors
Metabolomics combined with machine learning methods (MLMs), is a powerful tool for
searching novel diagnostic panels. This study was intended to use targeted plasma …
searching novel diagnostic panels. This study was intended to use targeted plasma …
Lipid alterations in glioma: a systematic review
Gliomas are highly lethal tumours characterised by heterogeneous molecular features,
producing various metabolic phenotypes leading to therapeutic resistance. Lipid metabolism …
producing various metabolic phenotypes leading to therapeutic resistance. Lipid metabolism …