Cancer Metabolomics 2023
A special issue of Metabolites (ISSN 2218-1989).
Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 7959
Special Issue Editor
Interests: cancer metabolomics; molecular epidemiology; metabolism and epigenetics; advanced NMR methods; chemometrics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We welcome the submission of original research articles or review papers as contributions to this Special Issue of Metabolites dedicated to cancer metabolomics. The aim for this issue is to highlight innovative metabolomic approaches, as well as novel achievements of metabolomic investigations in oncology that either provide mechanistic insights into model systems or pertain to translational and clinical studies. Many aspects of metabolomics research, notably in the field of cancerology, contribute to defining disease trajectories that sustain the promotion of P4 medicine—predictive, preventive, personalized, and participatory—to transform healthcare. We therefore encourage contributions that include cross-disciplinary research, involve large-scale data collection and analysis, or involve multi-omics studies for integrative medicine. Noting that over 50% of all cancers develop in a background of pre-existing infectious, immuno-inflammatory, or metabolic chronic disease, original work that aims to understand the underlying metabolic mechanisms linking chronic diseases with cancer will be a highly relevant contribution to this Special Issue. Investigations of metabolic markers of risk, early markers of disease, and prognostic markers of the evolution of responses to cancer treatment are equally welcome.
We hope with this Special Issue to provide our readers with a timely overview of metabolomics contemporary research and perspectives in the broad area of cancerology.
Dr. Bénédicte Elena-Herrmann
Guest Editor
Manuscript Submission Information
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Keywords
- diagnosis or predictive metabolic markers
- tumor metabolism
- chronic diseases and cancer
- molecular epidemiology of cancer
- in vivo spectroscopy
- model systems
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