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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

PURPOSE: Detecting signals of micrometastatic disease in early breast cancer (EBC) patients could improve risk stratification and allow better tailoring of adjuvant therapies. We have previously shown that postoperative serum metabolomic profiles are predictive of relapse in a si...

2017-03-02 | MTBLS424 | MetaboLights
Dysregulated lipid metabolism promotes the progression of various cancers, including breast cancer. This study aimed to explore the lipidomic profiles of breast cancer patients, providing insights into the correlation between lipid compositions and tumor subtypes characterized by hormone receptor (H...
2024-08-16 | MTBLS10858 | MetaboLights
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 M...
2016-04-28 | MTBLS273 | MetaboLights

Metabolic dysregulation is a hallmark of cancer and provides insights into biomarker discovery. Untargeted 1H NMR metabolomics offers a non-invasive means to identify biomarkers in breast cancer (BC) patients; however, metabolic signatures specific to Nigerian women remain poorly understood. This...

2026-02-23 | MTBLS13829 | MetaboLights

Background: Breast cancer progression and treatment are increasingly linked to systemic metabolic and microbial alterations. Previous studies have identified distinct gut microbiome profiles and serum metabolite shifts in breast cancer patients compared to healthy individuals, yet longitudi...

2026-05-08 | MTBLS13634 | MetaboLights

Background: Triple-negative breast cancer (TNBC) urgently needs effective therapies due to limited targeted options and unfavorable outcomes. We investigated Trichosanthes kirilowii Maxim formula granules (TKM) using integrated network pharmacology, metabolomics, and molecular pharmacology to cla...

2026-02-15 | MTBLS13902 | MetaboLights
Breast cancer classification has been in the focus of numerous large worldwide efforts, analyzing the molecular basis of breast cancer subtypes, aiming to associate them with clinical outcome and improve the current diagnostic routine. Genomic and transcriptomic profiles of breast cancer have been w...
ORGANISM(S): Homo sapiens (Human) 
2019-07-29 | PXD009766 | Pride
Systems-wide profiling of breast cancer has so far built on RNA and DNA analysis by microarray and sequencing techniques. Dramatic developments in proteomic technologies now enable very deep profiling of clinical samples, with high identification and quantification accuracy. We analyzed 40 estrogen ...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2017-03-29 | MSV000080757 | MassIVE
Proteome characterization of 45 breast tumors using HiRIEF nanoLC-MS/MS.
ORGANISM(S): Homo Sapiens (human) 
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