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Buck, A. ; Aichler, M. ; Huber, K. ; Walch, A.K.

In situ metabolomics in cancer by mass spectrometry imaging.

Adv. Cancer Res. 134, 117-132 (2017)
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Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Metabolomics is a rapidly evolving and a promising research field with the expectation to improve diagnosis, therapeutic treatment prediction, and prognosis of particular diseases. Among all techniques used to assess the metabolome in biological systems, mass spectrometry imaging is the method of choice to qualitatively and quantitatively analyze metabolite distribution in tissues with a high spatial resolution, thus providing molecular data in relation to cancer histopathology. The technique is ideally suited to study tissues molecular content and is able to provide molecular biomarkers or specific mass signatures which can be used in classification or the prognostic evaluation of tumors. Recently, it was shown that FFPE tissue samples are also suitable for metabolic analyses. This progress in methodology allows access to a highly valuable resource of tissues believed to widen and strengthen metabolic discovery-driven studies.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Diagnostic ; Ffpe Tissue ; Maldi ; Mass Spectrometry Imaging ; Metabolomics ; Predictive ; Prognostic Pathology; Predictive Molecular Pathology; Intratumor Heterogeneity; Breast-cancer; Biomarker Discovery; Clinical-relevance; Tissue-sections; Gastric-cancer; Diagnosis; Tumors; Cells
Sprache englisch
Veröffentlichungsjahr 2017
Prepublished im Jahr 2016
HGF-Berichtsjahr 2016
ISSN (print) / ISBN 0065-230x
Zeitschrift Advances in Cancer Research
Quellenangaben Band: 134, Heft: , Seiten: 117-132 Artikelnummer: , Supplement: ,
Verlag Elsevier
Verlagsort San Diego
Begutachtungsstatus Peer reviewed
Institut(e) Research Unit Analytical Pathology (AAP)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-500390-001
DOI 10.1016/bs.acr.2016.11.004
WOS ID WOS:000403247100006
Scopus ID 85008225573
Erfassungsdatum 2016-12-31
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