Volatilomics: an emerging and promising avenue for the detection of potential prostate cancer biomarkers
Simple Summary The lack of highly specific and sensitive biomarkers for the early detection
of prostate cancer (PCa) is a major barrier to its management. Volatilomics emerged as a …
of prostate cancer (PCa) is a major barrier to its management. Volatilomics emerged as a …
Metabolic regulation of prostate cancer heterogeneity and plasticity
C Peitzsch, I Gorodetska, D Klusa, Q Shi… - Seminars in cancer …, 2022 - Elsevier
Metabolic reprogramming is one of the main hallmarks of cancer cells. It refers to the
metabolic adaptations of tumor cells in response to nutrient deficiency, microenvironmental …
metabolic adaptations of tumor cells in response to nutrient deficiency, microenvironmental …
The integration of Metabolomics with other Omics: insights into understanding prostate Cancer
EP Resurreccion, K Fong - Metabolites, 2022 - mdpi.com
Our understanding of prostate cancer (PCa) has shifted from solely caused by a few genetic
aberrations to a combination of complex biochemical dysregulations with the prostate …
aberrations to a combination of complex biochemical dysregulations with the prostate …
Metabolic phenotyping in prostate cancer using multi-omics approaches
N Gómez-Cebrián, JL Poveda, A Pineda-Lucena… - Cancers, 2022 - mdpi.com
Simple Summary Prostate cancer (PCa) is a hormone-dependent tumor characterized by a
highly heterogeneous clinical outcome. This neoplastic process has become a leading …
highly heterogeneous clinical outcome. This neoplastic process has become a leading …
Sarcosine biosensor based on Pt/g-C3N4 nanocomposites with high electrocatalytic activity
J Feng, X Chen, X Shi, W Zheng… - ECS Journal of Solid …, 2022 - iopscience.iop.org
Sarcosine has been shown to be a new biomarker for prostate cancer that is superior to
prostate-specific antigen (PSA). By detecting the concentration of sarcosine in the human …
prostate-specific antigen (PSA). By detecting the concentration of sarcosine in the human …
Sp1 plays a key role in vasculogenic mimicry of human prostate cancer cells
DS Han, EO Lee - International Journal of Molecular Sciences, 2022 - mdpi.com
Sp1 transcription factor regulates genes involved in various phenomena of tumor
progression. Vasculogenic mimicry (VM) is the alternative neovascularization by aggressive …
progression. Vasculogenic mimicry (VM) is the alternative neovascularization by aggressive …
PI3K-regulated Glycine N-methyltransferase is required for the development of prostate cancer
A Zabala-Letona, A Arruabarrena-Aristorena… - Oncogenesis, 2022 - nature.com
Abstract Glycine N-Methyltransferase (GNMT) is a metabolic enzyme that integrates
metabolism and epigenetic regulation. The product of GNMT, sarcosine, has been proposed …
metabolism and epigenetic regulation. The product of GNMT, sarcosine, has been proposed …
The role of lipids and fatty acid metabolism in the development of prostate cancer
N Kotrikadze, M Alibegashvili, L Ramishvili… - Indian Journal of …, 2022 - or.niscpr.res.in
The reprogramming of lipid metabolism and signaling pathways is the central aspect of
cancer biology. It is hypothesized that tumor cells can alter the lipid spectrum in order to fulfill …
cancer biology. It is hypothesized that tumor cells can alter the lipid spectrum in order to fulfill …
Establishing a quantitative fluorescence assay for the rapid detection of kynurenine in urine
K Patel, M Fernandez-Villamarin, C Ward, JM Lord… - Analyst, 2022 - pubs.rsc.org
The kynurenine metabolite is associated with many diseases and disorders, ranging from
diabetes and sepsis to more recently COVID-19. Here we report a fluorescence-based …
diabetes and sepsis to more recently COVID-19. Here we report a fluorescence-based …
MOT: a Multi-Omics Transformer for multiclass classification tumour types predictions
Motivation Breakthroughs in high-throughput technologies and machine learning methods
have enabled the shift towards multi-omics modelling as the preferred means to understand …
have enabled the shift towards multi-omics modelling as the preferred means to understand …