↓ Skip to main content

Metabolomics: From Fundamentals to Clinical Applications

Overview of attention for book
Attention for Chapter 9: Applications of Metabolomics in Cancer Studies
Altmetric Badge

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
74 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Applications of Metabolomics in Cancer Studies
Chapter number 9
Book title
Metabolomics: From Fundamentals to Clinical Applications
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-3-319-47656-8_9
Pubmed ID
Book ISBNs
978-3-31-947655-1, 978-3-31-947656-8
Authors

Emily Grace Armitage, Michal Ciborowski, Armitage, Emily Grace, Ciborowski, Michal

Editors

Alessandra Sussulini

Abstract

Since the start of metabolomics as a field of research, the number of studies related to cancer has grown to such an extent that cancer metabolomics now represents its own discipline. In this chapter, the applications of metabolomics in cancer studies are explored. Different approaches and analytical platforms can be employed for the analysis of samples depending on the goal of the study and the aspects of the cancer metabolome being investigated. Analyses have concerned a range of cancers including lung, colorectal, bladder, breast, gastric, oesophageal and thyroid, amongst others. Developments in these strategies and methodologies that have been applied are discussed, in addition to exemplifying the use of cancer metabolomics in the discovery of biomarkers and in the assessment of therapy (both pharmaceutical and nutraceutical). Finally, the application of cancer metabolomics in personalised medicine is presented.

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 19%
Researcher 13 18%
Student > Master 12 16%
Student > Bachelor 7 9%
Student > Doctoral Student 6 8%
Other 9 12%
Unknown 13 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 26%
Medicine and Dentistry 10 14%
Pharmacology, Toxicology and Pharmaceutical Science 5 7%
Agricultural and Biological Sciences 5 7%
Chemistry 4 5%
Other 8 11%
Unknown 23 31%