Metabolomic Approaches Combined with Statistical Methods as Cancer Diagnostic Tools
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Metabolomic Profiling Technology".
Deadline for manuscript submissions: closed (30 November 2020) | Viewed by 7125
Special Issue Editors
Interests: analytical methods; metabolomics; cancer biomarkers; diagnosis
Interests: analytical methods; metabolomics; cancer biomarkers
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Up to date, cancer remains one of the leading causes of death in the world after coronary diseases. Currently, the available diagnostic tools have supported in the detection leading to the improved survival rates. In this regard, metabolomics (e.g., proteomic, lipidomic) studies emerged as powerful approaches to study the metabolic changes in several diseases including cancer involving a comprehensive analysis of all metabolites present in biological systems. Moreover, metabolomics play an important role in disease profiling being a promising approach for the pursuit of new biomarkers in biological matrices, such as cell extracts, tissues or biological fluids. As a fast-growing field that focus on the investigation of metabolites present in biological systems it reflects the altered metabolism and the physiological status. This opens the possibility of integration of several analytical platforms for multi-omics approach with the aim of a more comprehensive analysis of biological samples. The generated data is then processed through statistical methods (e.g., principal component analysis, partial least square-discriminate analysis) in order to decipher the information obtained and discover potential biomarkers underlying dysregulated cancer pathways.
This Special Issue is focused on the development of analytical tools and application of statistical methods to analyze metabolomics data. We invite researchers to submit their manuscripts outlining metabolomic studies and data analysis methods. Nevertheless, the scope of this Special Issue is not limited to this topic, including also experimental design, data acquisition methods, and applied metabolomics studies.
Dr. Catarina Luís Silva
Dr. Rosa Perestrelo
Guest Editors
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Keywords
- Biomarkers
- Cancer pathways
- Volatomic
- Proteomic
- Lipidomic
- Multivariate statistical tools
- Analytical tools
- Integration of analytical platforms
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