NMR-based metabolomics in breast cancer research
Join this upcoming webinar to understand how NMR-based metabolomics can provide important information at all stages of the cancer timeline
30 Apr 2020
Despite progress in early detection and therapeutic strategies, breast cancer remains a leading cause of cancer-related death among women globally. Due to the heterogeneity and complex tumor biology, breast cancer patients with similar diagnoses might have different prognoses and responses to treatment.
Metabolomics is the branch of “omics” technologies that involves high-throughput identification and quantification of small-molecule metabolites in the metabolome. Cancer cells must be able to convert nutrients to biomass while maintaining energy production, which requires reprogramming of central metabolic processes. This phenomenon is increasingly recognized as a potential target for treatment, but also as a source for biomarkers that can be used for prognosis, risk stratification, and therapy monitoring.
In this webinar, Prof. Tone Frost Bathen, head of the MR Cancer Group, will introduce NMR-based metabolomics research in breast cancer, covering aspects in the analytical pipeline to enable identification of prognostic and predictive biomarkers.
Register NowKey learning objectives:
- NMR-based metabolomics is a relevant tool in cancer research
- Breast cancer is associated with specific metabolic aberrations
- NMR-based metabolomics can provide important information at all stages of the cancer timeline
- Standardization, validation, multi-center studies, and data-sharing are important issues that can enhance clinical translation
Who should attend?
- Scientists and clinicians involved in cancer research
- Scientists and clinicians interested to learn more about metabolomics
The live webinar and Q&A session will take place on Thursday, May 14, at:
- 16:00 BST
- 11:00 EDT
- 08:00 PDT
- 17:00 CEST
Important note: The methods and solutions discussed during the webinar are for research use only and not for use in clinical diagnostic procedures.
Register to watch the full webinar>>
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