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Exploring metabolomics biomarkers for evaluating the effectiveness of concurrent radiochemotherapy for cervical cancers
BACKGROUND: Cervical cancer is the second most common female malignancy worldwide. The main method to evaluate the effect of concurrent chemoradiotherapy (CCRT) in the locally advanced stage is imaging which cannot meet the clinical needs. This study aimed to explore potential cervical cancer biomar...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797309/ https://www.ncbi.nlm.nih.gov/pubmed/35117632 http://dx.doi.org/10.21037/tcr.2020.02.49 |
Sumario: | BACKGROUND: Cervical cancer is the second most common female malignancy worldwide. The main method to evaluate the effect of concurrent chemoradiotherapy (CCRT) in the locally advanced stage is imaging which cannot meet the clinical needs. This study aimed to explore potential cervical cancer biomarkers via plasma metabolomics and evaluate the effectiveness of CCRT and disease progression. METHODS: Twenty-four primary and thirty recurrent patients were enrolled between November 2016 and November 2017. Plasma samples were obtained by centrifugation of whole blood collected from enrolled patients at admission and from primary patients after CCRT. Plasma metabolic profiles were determined via ultra-performance liquid chromatography with quadrupole time-of-flight mass spectrometry. Multivariate analyses and public databases were used to screen and identify differential metabolites. Pathway analysis was conducted using MetaboAnalyst. RESULTS: Metabolic profiles obtained were significantly different among primary, post-CCRT-treated, and recurrent patients. Multivariate analyses showed that 37 metabolites differed significantly among the three groups, of which the levels of 22 metabolites changed significantly after CCRT and recovered or even exceeded the levels in primary patients when the tumor reappeared. These 22 metabolites were mainly lipids involved in sphingolipid and glycerophospholipid metabolism. Among them, 8 metabolites with area under curve values above 0.75 between each pair of groups exhibited great potential for evaluating CCRT effectiveness and disease progression. CONCLUSIONS: Our results show significantly different plasma metabolic profiles among the three cervical cancer groups; 8 metabolites were identified as potential biomarkers to evaluate the effectiveness of CCRT and disease progression, which can help evaluate the prognosis and treatment of cervical cancer in a timely manner. |
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