Metabolomics

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Metabolic phenotyping of ex-vivo breast samples by DESI mass spectrometry imaging

ABSTRACT: This study involves the analysis of surgically resected samples from patients undergoing breast surgery. The samples published here have been used as part of the publication by [1], and all experimental details can be found within. Desorption electrospray ionisation mass spectrometry imaging (DESI MSI) was used to provide spatially resolved metabolic profiles across the various tissue samples, which in combination with histological assessment allows characterisation of changes across distinct tissue types. In being able to characterise the metabolic differences between tissue types, it becomes possible to predict future unknown samples using a data-driven histological approach to enhance current disease prognoses.

Ref:
[1] Guenther S, Muirhead LJ, Speller AV, Golf O, Strittmatter N, Ramakrishnan R, Goldin RD, Jones E, Veselkov K, Nicholson J, Darzi A, Takats Z. Spatially resolved metabolic phenotyping of breast cancer by desorption electrospray ionization mass spectrometry. Cancer Res. 2015 May 1;75(9):1828-37. doi:10.1158/0008-5472.CAN-14-2258. PMID:25691458

INSTRUMENT(S): Exactive

SUBMITTER: James S McKenzie 

PROVIDER: MTBLS273 | MetaboLights | 2016-04-28

REPOSITORIES: MetaboLights

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Dataset's files

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Action DRS
MTBLS273 Other
FILES Other
a_MTBLS273_desi-imaging-breast_metabolite_profiling_mass_spectrometry.txt Txt
i_Investigation.txt Txt
metexplore_mapping.json Other
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Publications

Spatially resolved metabolic phenotyping of breast cancer by desorption electrospray ionization mass spectrometry.

Guenther Sabine S   Muirhead Laura J LJ   Speller Abigail V M AV   Golf Ottmar O   Strittmatter Nicole N   Ramakrishnan Rathi R   Goldin Robert D RD   Jones Emrys E   Veselkov Kirill K   Nicholson Jeremy J   Darzi Ara A   Takats Zoltan Z  

Cancer research 20150217 9

Breast cancer is a heterogeneous disease characterized by varying responses to therapeutic agents and significant differences in long-term survival. Thus, there remains an unmet need for early diagnostic and prognostic tools and improved histologic characterization for more accurate disease stratification and personalized therapeutic intervention. This study evaluated a comprehensive metabolic phenotyping method in breast cancer tissue that uses desorption electrospray ionization mass spectromet  ...[more]

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