Cancer metabolites: promising biomarkers for cancer liquid biopsy
Abstract Cancer exerts a multitude of effects on metabolism, including the reprogramming of cellular metabolic pathways and alterations in metabolites that facilitate inappropriate proliferation of cancer cells and adaptation to the tumor microenvironment. There is a growing body of evidence suggest...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-06-01
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| Series: | Biomarker Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40364-023-00507-3 |
| _version_ | 1797789622558785536 |
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| author | Wenxiang Wang Zhiwei Rong Guangxi Wang Yan Hou Fan Yang Mantang Qiu |
| author_facet | Wenxiang Wang Zhiwei Rong Guangxi Wang Yan Hou Fan Yang Mantang Qiu |
| author_sort | Wenxiang Wang |
| collection | DOAJ |
| description | Abstract Cancer exerts a multitude of effects on metabolism, including the reprogramming of cellular metabolic pathways and alterations in metabolites that facilitate inappropriate proliferation of cancer cells and adaptation to the tumor microenvironment. There is a growing body of evidence suggesting that aberrant metabolites play pivotal roles in tumorigenesis and metastasis, and have the potential to serve as biomarkers for personalized cancer therapy. Importantly, high-throughput metabolomics detection techniques and machine learning approaches offer tremendous potential for clinical oncology by enabling the identification of cancer-specific metabolites. Emerging research indicates that circulating metabolites have great promise as noninvasive biomarkers for cancer detection. Therefore, this review summarizes reported abnormal cancer-related metabolites in the last decade and highlights the application of metabolomics in liquid biopsy, including detection specimens, technologies, methods, and challenges. The review provides insights into cancer metabolites as a promising tool for clinical applications. |
| first_indexed | 2024-03-13T01:53:17Z |
| format | Article |
| id | doaj.art-376c95befd1e48689672febf70f012c2 |
| institution | Directory Open Access Journal |
| issn | 2050-7771 |
| language | English |
| last_indexed | 2024-03-13T01:53:17Z |
| publishDate | 2023-06-01 |
| publisher | BMC |
| record_format | Article |
| series | Biomarker Research |
| spelling | doaj.art-376c95befd1e48689672febf70f012c22023-07-02T11:21:56ZengBMCBiomarker Research2050-77712023-06-0111111410.1186/s40364-023-00507-3Cancer metabolites: promising biomarkers for cancer liquid biopsyWenxiang Wang0Zhiwei Rong1Guangxi Wang2Yan Hou3Fan Yang4Mantang Qiu5Department of Thoracic Surgery, Peking University People’s HospitalDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science CenterInstitute of Systems Biomedicine, School of Basic Medical Sciences, Peking-Tsinghua Center for Life Sciences, Peking University Health Science CenterDepartment of Biostatistics, School of Public Health, Peking UniversityDepartment of Thoracic Surgery, Peking University People’s HospitalDepartment of Thoracic Surgery, Peking University People’s HospitalAbstract Cancer exerts a multitude of effects on metabolism, including the reprogramming of cellular metabolic pathways and alterations in metabolites that facilitate inappropriate proliferation of cancer cells and adaptation to the tumor microenvironment. There is a growing body of evidence suggesting that aberrant metabolites play pivotal roles in tumorigenesis and metastasis, and have the potential to serve as biomarkers for personalized cancer therapy. Importantly, high-throughput metabolomics detection techniques and machine learning approaches offer tremendous potential for clinical oncology by enabling the identification of cancer-specific metabolites. Emerging research indicates that circulating metabolites have great promise as noninvasive biomarkers for cancer detection. Therefore, this review summarizes reported abnormal cancer-related metabolites in the last decade and highlights the application of metabolomics in liquid biopsy, including detection specimens, technologies, methods, and challenges. The review provides insights into cancer metabolites as a promising tool for clinical applications.https://doi.org/10.1186/s40364-023-00507-3Circulating metabolitesCancer diagnosisBiomarkersLiquid biopsy |
| spellingShingle | Wenxiang Wang Zhiwei Rong Guangxi Wang Yan Hou Fan Yang Mantang Qiu Cancer metabolites: promising biomarkers for cancer liquid biopsy Biomarker Research Circulating metabolites Cancer diagnosis Biomarkers Liquid biopsy |
| title | Cancer metabolites: promising biomarkers for cancer liquid biopsy |
| title_full | Cancer metabolites: promising biomarkers for cancer liquid biopsy |
| title_fullStr | Cancer metabolites: promising biomarkers for cancer liquid biopsy |
| title_full_unstemmed | Cancer metabolites: promising biomarkers for cancer liquid biopsy |
| title_short | Cancer metabolites: promising biomarkers for cancer liquid biopsy |
| title_sort | cancer metabolites promising biomarkers for cancer liquid biopsy |
| topic | Circulating metabolites Cancer diagnosis Biomarkers Liquid biopsy |
| url | https://doi.org/10.1186/s40364-023-00507-3 |
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