Role of glutathione in cancer: from mechanisms to therapies

L Kennedy, JK Sandhu, ME Harper, M Cuperlovic-Culf - Biomolecules, 2020 - mdpi.com
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 …

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 …

High‐throughput metabolomics by 1D NMR

A Vignoli, V Ghini, G Meoni, C Licari… - Angewandte Chemie …, 2019 - Wiley Online Library
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 …

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 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 …

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 …

[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 …

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 …

A comparison of different machine-learning techniques for the selection of a panel of metabolites allowing early detection of brain tumors

A Godlewski, M Czajkowski, P Mojsak, T Pienkowski… - Scientific Reports, 2023 - nature.com
Metabolomics combined with machine learning methods (MLMs), is a powerful tool for
searching novel diagnostic panels. This study was intended to use targeted plasma …

Lipid alterations in glioma: a systematic review

K Abdul Rashid, K Ibrahim, JHD Wong, N Mohd Ramli - Metabolites, 2022 - mdpi.com
Gliomas are highly lethal tumours characterised by heterogeneous molecular features,
producing various metabolic phenotypes leading to therapeutic resistance. Lipid metabolism …