Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Huihui, Li, Qi, Wang, Tong, Liang, Hong, Wang, Yanan, Duan, Yani, Song, Min, Wang, Yaoxian, Jin, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
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
_version_ 1784641519570911232
author Zhou, Huihui
Li, Qi
Wang, Tong
Liang, Hong
Wang, Yanan
Duan, Yani
Song, Min
Wang, Yaoxian
Jin, Hong
author_facet Zhou, Huihui
Li, Qi
Wang, Tong
Liang, Hong
Wang, Yanan
Duan, Yani
Song, Min
Wang, Yaoxian
Jin, Hong
author_sort Zhou, Huihui
collection PubMed
description 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.
format Online
Article
Text
id pubmed-8797309
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher AME Publishing Company
record_format MEDLINE/PubMed
spelling pubmed-87973092022-02-02 Exploring metabolomics biomarkers for evaluating the effectiveness of concurrent radiochemotherapy for cervical cancers Zhou, Huihui Li, Qi Wang, Tong Liang, Hong Wang, Yanan Duan, Yani Song, Min Wang, Yaoxian Jin, Hong Transl Cancer Res Original Article 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. AME Publishing Company 2020-04 /pmc/articles/PMC8797309/ /pubmed/35117632 http://dx.doi.org/10.21037/tcr.2020.02.49 Text en 2020 Translational Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
spellingShingle Original Article
Zhou, Huihui
Li, Qi
Wang, Tong
Liang, Hong
Wang, Yanan
Duan, Yani
Song, Min
Wang, Yaoxian
Jin, Hong
Exploring metabolomics biomarkers for evaluating the effectiveness of concurrent radiochemotherapy for cervical cancers
title Exploring metabolomics biomarkers for evaluating the effectiveness of concurrent radiochemotherapy for cervical cancers
title_full Exploring metabolomics biomarkers for evaluating the effectiveness of concurrent radiochemotherapy for cervical cancers
title_fullStr Exploring metabolomics biomarkers for evaluating the effectiveness of concurrent radiochemotherapy for cervical cancers
title_full_unstemmed Exploring metabolomics biomarkers for evaluating the effectiveness of concurrent radiochemotherapy for cervical cancers
title_short Exploring metabolomics biomarkers for evaluating the effectiveness of concurrent radiochemotherapy for cervical cancers
title_sort exploring metabolomics biomarkers for evaluating the effectiveness of concurrent radiochemotherapy for cervical cancers
topic Original Article
url 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
work_keys_str_mv AT zhouhuihui exploringmetabolomicsbiomarkersforevaluatingtheeffectivenessofconcurrentradiochemotherapyforcervicalcancers
AT liqi exploringmetabolomicsbiomarkersforevaluatingtheeffectivenessofconcurrentradiochemotherapyforcervicalcancers
AT wangtong exploringmetabolomicsbiomarkersforevaluatingtheeffectivenessofconcurrentradiochemotherapyforcervicalcancers
AT lianghong exploringmetabolomicsbiomarkersforevaluatingtheeffectivenessofconcurrentradiochemotherapyforcervicalcancers
AT wangyanan exploringmetabolomicsbiomarkersforevaluatingtheeffectivenessofconcurrentradiochemotherapyforcervicalcancers
AT duanyani exploringmetabolomicsbiomarkersforevaluatingtheeffectivenessofconcurrentradiochemotherapyforcervicalcancers
AT songmin exploringmetabolomicsbiomarkersforevaluatingtheeffectivenessofconcurrentradiochemotherapyforcervicalcancers
AT wangyaoxian exploringmetabolomicsbiomarkersforevaluatingtheeffectivenessofconcurrentradiochemotherapyforcervicalcancers
AT jinhong exploringmetabolomicsbiomarkersforevaluatingtheeffectivenessofconcurrentradiochemotherapyforcervicalcancers