NMR-based metabolomic profiling can differentiate follicular lymphoma from benign lymph node tissues and may be predictive of outcome.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
18 05 2022
18 05 2022
Historique:
received:
02
02
2022
accepted:
10
05
2022
entrez:
18
5
2022
pubmed:
19
5
2022
medline:
21
5
2022
Statut:
epublish
Résumé
Follicular lymphoma (FL) is a cancer of B-cells, representing the second most common type of non-Hodgkin lymphoma and typically diagnosed at advanced stage in older adults. In contrast to the wide range of available molecular genetic data, limited data relating the metabolomic features of follicular lymphoma are known. Metabolomics is a promising analytical approach employing metabolites (molecules < 1 kDa in size) as potential biomarkers in cancer research. In this pilot study, we performed proton nuclear magnetic resonance spectroscopy (
Identifiants
pubmed: 35585165
doi: 10.1038/s41598-022-12445-5
pii: 10.1038/s41598-022-12445-5
pmc: PMC9117304
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
8294Informations de copyright
© 2022. The Author(s).
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