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Profiling the metabolome of uterine fluid for early detection of ovarian cancer
Ovarian cancer (OC) causes high mortality in women because of ineffective biomarkers for early diagnosis. Here, we perform metabolomics analysis on an initial training set of uterine fluid from 96 gynecological patients. A seven-metabolite-marker panel consisting of vanillylmandelic acid, norepineph...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313936/ https://www.ncbi.nlm.nih.gov/pubmed/37267943 http://dx.doi.org/10.1016/j.xcrm.2023.101061 |
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author | Wang, Pan Ma, Jihong Li, Wenjing Wang, Qilong Xiao, Yinan Jiang, Yuening Gu, Xiaoyang Wu, Yu Dong, Suwei Guo, Hongyan Li, Mo |
author_facet | Wang, Pan Ma, Jihong Li, Wenjing Wang, Qilong Xiao, Yinan Jiang, Yuening Gu, Xiaoyang Wu, Yu Dong, Suwei Guo, Hongyan Li, Mo |
author_sort | Wang, Pan |
collection | PubMed |
description | Ovarian cancer (OC) causes high mortality in women because of ineffective biomarkers for early diagnosis. Here, we perform metabolomics analysis on an initial training set of uterine fluid from 96 gynecological patients. A seven-metabolite-marker panel consisting of vanillylmandelic acid, norepinephrine, phenylalanine, beta-alanine, tyrosine, 12-S-hydroxy-5,8,10-heptadecatrienoic acid, and crithmumdiol is established for detecting early-stage OC. The panel is further validated in an independent sample set from 123 patients, discriminating early OC from controls with an area under the curve (AUC) of 0.957 (95% confidence interval [CI], 0.894–1). Interestingly, we find elevated norepinephrine and decreased vanillylmandelic acid in most OC cells, resulting from excess 4-hydroxyestradiol that antagonizes the catabolism of norepinephrine by catechol-O-methyltransferase. Moreover, exposure to 4-hydroxyestradiol induces cellular DNA damage and genomic instability that could lead to tumorigenesis. Thus, this study not only reveals metabolic features in uterine fluid of gynecological patients but also establishes a noninvasive approach for the early diagnosis of OC. |
format | Online Article Text |
id | pubmed-10313936 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103139362023-07-02 Profiling the metabolome of uterine fluid for early detection of ovarian cancer Wang, Pan Ma, Jihong Li, Wenjing Wang, Qilong Xiao, Yinan Jiang, Yuening Gu, Xiaoyang Wu, Yu Dong, Suwei Guo, Hongyan Li, Mo Cell Rep Med Article Ovarian cancer (OC) causes high mortality in women because of ineffective biomarkers for early diagnosis. Here, we perform metabolomics analysis on an initial training set of uterine fluid from 96 gynecological patients. A seven-metabolite-marker panel consisting of vanillylmandelic acid, norepinephrine, phenylalanine, beta-alanine, tyrosine, 12-S-hydroxy-5,8,10-heptadecatrienoic acid, and crithmumdiol is established for detecting early-stage OC. The panel is further validated in an independent sample set from 123 patients, discriminating early OC from controls with an area under the curve (AUC) of 0.957 (95% confidence interval [CI], 0.894–1). Interestingly, we find elevated norepinephrine and decreased vanillylmandelic acid in most OC cells, resulting from excess 4-hydroxyestradiol that antagonizes the catabolism of norepinephrine by catechol-O-methyltransferase. Moreover, exposure to 4-hydroxyestradiol induces cellular DNA damage and genomic instability that could lead to tumorigenesis. Thus, this study not only reveals metabolic features in uterine fluid of gynecological patients but also establishes a noninvasive approach for the early diagnosis of OC. Elsevier 2023-06-01 /pmc/articles/PMC10313936/ /pubmed/37267943 http://dx.doi.org/10.1016/j.xcrm.2023.101061 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Wang, Pan Ma, Jihong Li, Wenjing Wang, Qilong Xiao, Yinan Jiang, Yuening Gu, Xiaoyang Wu, Yu Dong, Suwei Guo, Hongyan Li, Mo Profiling the metabolome of uterine fluid for early detection of ovarian cancer |
title | Profiling the metabolome of uterine fluid for early detection of ovarian cancer |
title_full | Profiling the metabolome of uterine fluid for early detection of ovarian cancer |
title_fullStr | Profiling the metabolome of uterine fluid for early detection of ovarian cancer |
title_full_unstemmed | Profiling the metabolome of uterine fluid for early detection of ovarian cancer |
title_short | Profiling the metabolome of uterine fluid for early detection of ovarian cancer |
title_sort | profiling the metabolome of uterine fluid for early detection of ovarian cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313936/ https://www.ncbi.nlm.nih.gov/pubmed/37267943 http://dx.doi.org/10.1016/j.xcrm.2023.101061 |
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