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MetabolomicsTemporal characterization of serum metabolite signatures in lung cancer patients undergoing treatment
Lung cancer causes more deaths in men and women than any other cancer related disease. Currently, few effective strategies exist to predict how patients will respond to treatment. We evaluated the serum metabolomic profiles of 25 lung cancer patients undergoing chemotherapy ± radiation to evaluate t...
2017-01-19 | MTBLS200 | MetaboLights
MetabolomicsStudy on the Changes of Fecal Lipid Metabolites in Thyroid Cancer Patients Before and After Treatment

Study on the Changes of Fecal Lipid Metabolites in Thyroid Cancer Patients Before and After Treatment

2025-07-25 | MTBLS12769 | MetaboLights
MetabolomicsChanges in L-phenylalanine concentration reflect and predict response to anti-PD-1 treatment combined with chemotherapy in patients with non-small cell lung cancer
Chemotherapy combined with checkpoint blockade antibodies targeting programmed cell death protein (PD-1) has achieved remarkable success in non-small cell lung cancer (NSCLC). However, few patients benefit from long-term treatment. Therefore, biomarkers capable of guiding the optimal therapeutic sel...
2025-06-16 | MTBLS11232 | MetaboLights
MetabolomicsGeographic variation of mutagenic exposures in kidney cancer genomes

International differences in the incidence of many cancer types indicate the existence of carcinogen exposures that have not been identified by conventional epidemiology yet potentially make a substantial contribution to cancer burden1. This pertains to clear cell renal cell carcinoma (ccRCC), fo...

2024-03-26 | MTBLS9394 | MetaboLights
MetabolomicsHistorical Biobanks in Breast Cancer Metabolomics - Challenges and Opportunities

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 u...

2022-01-24 | MTBLS1355 | MetaboLights
MetabolomicsContributions of the Microbiome-Derived Metabolome for Risk Assessment and Prognostication of Pancreatic Cancer

BACKGROUND Increasing evidence implicates microbiome involvement in the development and progression of pancreatic ductal adenocarcinoma (PDAC). Studies suggest that reflux of gut or oral microbiota can lead to colonization in the pancreas, resulting in dysbiosis that culminates ...

2023-08-09 | MTBLS7260 | MetaboLights
MetabolomicsNon-invasive urinary metabolomic profiling identifies diagnostic and prognostic markers in lung cancer
Lung cancer remains the most common cause of cancer deaths worldwide, yet there is currently a lack of diagnostic noninvasive biomarkers that could guide treatment decisions. Small molecules (<1500 Da) were measured in urine collected from 469 lung cancer patients and 536 population controls using u...
2014-05-06 | MTBLS28 | MetaboLights
MetabolomicsDistinct metabolic responses of an ovarian cancer stem cell line

Background

Cancer metabolism is emerging as an important focus area in cancer research. However, the in vitro cell culture conditions under which much cellular metabolism research is performed differ drastically from in vivo tumor conditions, which are characterized by variations in the leve...
2021-11-05 | MTBLS150 | MetaboLights
MetabolomicsCancer-cell-secreted exosomal miR-105 promotes tumour growth through the Myc-dependent metabolic reprogramming of stromal cells
Cancer and other cells residing in the same niche engage various modes of interactions to synchronize and to buffer the negative effects of environmental changes. Extracellular miRNAs have been recently implicated in the intercellular crosstalk. Here we show a mechanistic model involving breast-canc...
2018-07-10 | MTBLS626 | MetaboLights
MetabolomicsNormalization strategies for lipidome data in cell line panels & Distinct lipidomic profiles in breast cancer cell lines relate to proliferation and EMT phenotypes

Sample collection can significantly affect measurements of relative lipid concentrations in cell line panels, hiding intrinsic biological properties of interest between cell lines. Most quality control steps in lipidomic data analysis focus on controlling technical variation. Correcting for the t...

2025-08-07 | MTBLS9493 | MetaboLights
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