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Clinical Significance of Screening Differential Metabolites in Ovarian Cancer Tissue and Ascites by LC/MS

Tumor cells not only show a vigorous metabolic state, but also reflect the disease progression and prognosis from their metabolites. To judge the progress and prognosis of ovarian cancer is generally based on the formation of ascites, or whether there is ascites recurrence during chemotherapy after...

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Autores principales: Liu, Miao, Liu, Yu, Feng, Hua, Jing, Yixin, Zhao, Shuang, Yang, Shujia, Zhang, Nan, Jin, Shi, Li, Yafei, Weng, Mingjiao, Xue, Xinzhu, Wang, Fuya, Yang, Yongheng, Jin, Xiaoming, Kong, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8593816/
https://www.ncbi.nlm.nih.gov/pubmed/34795577
http://dx.doi.org/10.3389/fphar.2021.701487
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author Liu, Miao
Liu, Yu
Feng, Hua
Jing, Yixin
Zhao, Shuang
Yang, Shujia
Zhang, Nan
Jin, Shi
Li, Yafei
Weng, Mingjiao
Xue, Xinzhu
Wang, Fuya
Yang, Yongheng
Jin, Xiaoming
Kong, Dan
author_facet Liu, Miao
Liu, Yu
Feng, Hua
Jing, Yixin
Zhao, Shuang
Yang, Shujia
Zhang, Nan
Jin, Shi
Li, Yafei
Weng, Mingjiao
Xue, Xinzhu
Wang, Fuya
Yang, Yongheng
Jin, Xiaoming
Kong, Dan
author_sort Liu, Miao
collection PubMed
description Tumor cells not only show a vigorous metabolic state, but also reflect the disease progression and prognosis from their metabolites. To judge the progress and prognosis of ovarian cancer is generally based on the formation of ascites, or whether there is ascites recurrence during chemotherapy after ovarian cancer surgery. To explore the relationship between the production of ascites and ovarian cancer tissue, metabolomics was used to screen differential metabolites in this study. The significant markers leading to ascites formation and chemoresistance were screened by analyzing their correlation with the formation of ascites in ovarian cancer and the clinical indicators of patients, and then provided a theoretical basis. The results revealed that nine differential metabolites were screened out from 37 ovarian cancer tissues and their ascites, among which seven differential metabolites were screened from 22 self-paired samples. Sebacic acid and 20-COOH-leukotriene E4 were negatively correlated with the high expression of serum CA125. Carnosine was positively correlated with the high expression of serum uric acid. Hexadecanoic acid was negatively correlated with the high expression of serum γ-GGT and HBDH. 20a,22b-Dihydroxycholesterol was positively correlated with serum alkaline phosphatase and γ-GGT. In the chemotherapy-sensitive and chemotherapy-resistant ovarian cancer tissues, the differential metabolite dihydrothymine was significantly reduced in the chemotherapy-resistant group. In the ascites supernatant of the drug-resistant group, the differential metabolites, 1,25-dihydroxyvitamins D3-26, 23-lactonel and hexadecanoic acid were also significantly reduced. The results indicated that the nine differential metabolites could reflect the prognosis and the extent of liver and kidney damage in patients with ovarian cancer. Three differential metabolites with low expression in the drug-resistant group were proposed as new markers of chemotherapy efficacy in ovarian cancer patients with ascites.
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spelling pubmed-85938162021-11-17 Clinical Significance of Screening Differential Metabolites in Ovarian Cancer Tissue and Ascites by LC/MS Liu, Miao Liu, Yu Feng, Hua Jing, Yixin Zhao, Shuang Yang, Shujia Zhang, Nan Jin, Shi Li, Yafei Weng, Mingjiao Xue, Xinzhu Wang, Fuya Yang, Yongheng Jin, Xiaoming Kong, Dan Front Pharmacol Pharmacology Tumor cells not only show a vigorous metabolic state, but also reflect the disease progression and prognosis from their metabolites. To judge the progress and prognosis of ovarian cancer is generally based on the formation of ascites, or whether there is ascites recurrence during chemotherapy after ovarian cancer surgery. To explore the relationship between the production of ascites and ovarian cancer tissue, metabolomics was used to screen differential metabolites in this study. The significant markers leading to ascites formation and chemoresistance were screened by analyzing their correlation with the formation of ascites in ovarian cancer and the clinical indicators of patients, and then provided a theoretical basis. The results revealed that nine differential metabolites were screened out from 37 ovarian cancer tissues and their ascites, among which seven differential metabolites were screened from 22 self-paired samples. Sebacic acid and 20-COOH-leukotriene E4 were negatively correlated with the high expression of serum CA125. Carnosine was positively correlated with the high expression of serum uric acid. Hexadecanoic acid was negatively correlated with the high expression of serum γ-GGT and HBDH. 20a,22b-Dihydroxycholesterol was positively correlated with serum alkaline phosphatase and γ-GGT. In the chemotherapy-sensitive and chemotherapy-resistant ovarian cancer tissues, the differential metabolite dihydrothymine was significantly reduced in the chemotherapy-resistant group. In the ascites supernatant of the drug-resistant group, the differential metabolites, 1,25-dihydroxyvitamins D3-26, 23-lactonel and hexadecanoic acid were also significantly reduced. The results indicated that the nine differential metabolites could reflect the prognosis and the extent of liver and kidney damage in patients with ovarian cancer. Three differential metabolites with low expression in the drug-resistant group were proposed as new markers of chemotherapy efficacy in ovarian cancer patients with ascites. Frontiers Media S.A. 2021-11-01 /pmc/articles/PMC8593816/ /pubmed/34795577 http://dx.doi.org/10.3389/fphar.2021.701487 Text en Copyright © 2021 Liu, Liu, Feng, Jing, Zhao, Yang, Zhang, Jin, Li, Weng, Xue, Wang, Yang, Jin and Kong. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Liu, Miao
Liu, Yu
Feng, Hua
Jing, Yixin
Zhao, Shuang
Yang, Shujia
Zhang, Nan
Jin, Shi
Li, Yafei
Weng, Mingjiao
Xue, Xinzhu
Wang, Fuya
Yang, Yongheng
Jin, Xiaoming
Kong, Dan
Clinical Significance of Screening Differential Metabolites in Ovarian Cancer Tissue and Ascites by LC/MS
title Clinical Significance of Screening Differential Metabolites in Ovarian Cancer Tissue and Ascites by LC/MS
title_full Clinical Significance of Screening Differential Metabolites in Ovarian Cancer Tissue and Ascites by LC/MS
title_fullStr Clinical Significance of Screening Differential Metabolites in Ovarian Cancer Tissue and Ascites by LC/MS
title_full_unstemmed Clinical Significance of Screening Differential Metabolites in Ovarian Cancer Tissue and Ascites by LC/MS
title_short Clinical Significance of Screening Differential Metabolites in Ovarian Cancer Tissue and Ascites by LC/MS
title_sort clinical significance of screening differential metabolites in ovarian cancer tissue and ascites by lc/ms
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8593816/
https://www.ncbi.nlm.nih.gov/pubmed/34795577
http://dx.doi.org/10.3389/fphar.2021.701487
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