Metabolomics

Dataset Information

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Historical Biobanks in Breast Cancer Metabolomics - Challenges and Opportunities


ABSTRACT:

BACKGROUND: Metabolomic characterization of tumours can potentially improve prediction of cancer prognosis and treatment response. Here, we describe efforts to validate previous metabolomic findings using a historical cohort of breast cancer patients and discuss challenges with using older biobanks collected with non-standardized sampling procedures.

METHODS: In total, 100 primary breast cancer samples were analysed by high-resolution magic angle spinning magnetic resonance spectroscopy (HR MAS MRS) and subsequently examined by histology. Metabolomic profiles were related to the presence of cancer tissue, hormone receptor status, T-stage, N-stage and survival. RNA integrity number (RIN), and metabolomic profiles were compared with an ongoing breast cancer biobank.

RESULTS: The 100 samples had a median RIN of 4.3, while the ongoing biobank had a significantly higher median RIN of 6.3 (p = 5.86 x 10^-7). A low RIN was associated with changes in choline-containing metabolites and creatine, and the samples in the older biobank showed metabolic differences previously associated with tissue degradation. The association between metabolomic profile and oestrogen receptor status was in accordance with previous findings, however, with a lower classification accuracy.

CONCLUSIONS: Our findings highlight the importance of standardized biobanking procedures in breast cancer metabolomics studies.

INSTRUMENT(S): Nuclear Magnetic Resonance (NMR) -

SUBMITTER: Torfinn Støve Madssen 

PROVIDER: MTBLS1355 | MetaboLights | 2022-01-24

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
MTBLS1355 Other
FILES Other
a_MTBLS1355_NMR___metabolite_profiling.txt Txt
i_Investigation.txt Txt
m_MTBLS1355_NMR___metabolite_profiling_v2_maf.tsv Tabular
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