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Exploring the complex relationship between metabolomics and breast cancer early detection (Review)

  • Authors:
    • Omar Mahmoud Alshajrawi
    • Tengku Ahmad Damitri Al Astani Tengku Din Tengku Din
    • Shahira Sofea Binti Marzuki
    • Maulidiani Maulidiani
    • Nurul Anaqi Rukaini Binti Mohd Rusli
    • Norul Faezzatul Ain Binti Badrol Hisham
    • Lim Hui Ying
    • Maya Mazuwin Binti Yahya
    • Wan Norlina Binti Wan Azman
    • Ras A. Ramli
    • Wan Faiziah Wan Abdul Rahman
  • View Affiliations / Copyright

    Affiliations: Department of Chemical Pathology, School of Medical Science, Health Campus, University Sains Malaysia, Kubang Kerian, Kelantan 16150, Malaysia, Faculty of Science and Marine Environment, University Malaysia Terengganu, Kuala Nerus, Terengganu 21030, Malaysia, Department of Surgery, School of Medical Science, Health Campus, Universiti Sains Malaysia, Kubang Kerian, Kelantan 16150, Malaysia, Faculty of Medicine, University Sultan Zainal Abidin, Kuala Terengganu, Terengganu 20400, Malaysia, Department of Pathology, School of Medical Science, Health Campus, University Sains Malaysia, Kubang Kerian, Kelantan 16150, Malaysia
    Copyright: © Alshajrawi et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 35
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    Published online on: February 20, 2025
       https://doi.org/10.3892/mco.2025.2830
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Abstract

An overview of metabolomics in cancer research, focusing on the identification of biomarkers, pharmacological targets and therapeutic agents, is provided in the present review. The fundamentals of metabolomics, the role of metabolites in cancer emergence and the methods used in metabolomic analysis, are reviewed. The applications of metabolomics in cancer therapy and diagnostics, as well as the challenges encountered in metabolomic research, are discussed. Finally, the potential clinical uses of metabolomics in cancer research and its future possibilities are explored, emphasising the importance of non‑invasive diagnostic and monitoring techniques. The present review highlights the significance of metabolite‑based metabolomics as a specialised tool for illuminating disease processes and identifying treatment potentials. The malfunctioning of metabolomic pathways and metabolite accumulation or depletion is caused by metabolomics abnormalities. Metabolite signatures close to a subject's phenotypic informative dimension can be used to monitor therapies and disease prediction diagnosis and prognosis. Non‑invasive diagnostic and monitoring techniques with high specificity and selectivity are urgently needed. Metabolite‑based metabolomics is a specialised metabolic biomarker and pathway‑analysis technique, illuminating the putative processes of numerous human illnesses and determining treatment potentials. Locating biochemical pathway modifications that are early warning signs of pathological malfunction and illness is possible by identifying functional biomarkers linked to phenotypic variance. Scientists generated numerous metabolomics profiles to disclose the underlying processes and metabolomics networks for therapeutic target research in biomedicine. The metabolomic analysis of the potential utility of metabolites as biomarkers for clinical events is summarised in the present review. The significance of metabolite‑based metabolomics as a specialised tool for illuminating disease processes and identifying treatment potentials is highlighted.
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Copy and paste a formatted citation
Spandidos Publications style
Alshajrawi OM, Tengku Din T, Marzuki S, Maulidiani M, Mohd Rusli N, Badrol Hisham N, Hui Ying L, Yahya M, Wan Azman W, Ramli RA, Ramli RA, et al: Exploring the complex relationship between metabolomics and breast cancer early detection (Review). Mol Clin Oncol 22: 35, 2025.
APA
Alshajrawi, O.M., Tengku Din, T., Marzuki, S., Maulidiani, M., Mohd Rusli, N., Badrol Hisham, N. ... Wan Abdul Rahman, W. (2025). Exploring the complex relationship between metabolomics and breast cancer early detection (Review). Molecular and Clinical Oncology, 22, 35. https://doi.org/10.3892/mco.2025.2830
MLA
Alshajrawi, O. M., Tengku Din, T., Marzuki, S., Maulidiani, M., Mohd Rusli, N., Badrol Hisham, N., Hui Ying, L., Yahya, M., Wan Azman, W., Ramli, R. A., Wan Abdul Rahman, W."Exploring the complex relationship between metabolomics and breast cancer early detection (Review)". Molecular and Clinical Oncology 22.4 (2025): 35.
Chicago
Alshajrawi, O. M., Tengku Din, T., Marzuki, S., Maulidiani, M., Mohd Rusli, N., Badrol Hisham, N., Hui Ying, L., Yahya, M., Wan Azman, W., Ramli, R. A., Wan Abdul Rahman, W."Exploring the complex relationship between metabolomics and breast cancer early detection (Review)". Molecular and Clinical Oncology 22, no. 4 (2025): 35. https://doi.org/10.3892/mco.2025.2830
Copy and paste a formatted citation
x
Spandidos Publications style
Alshajrawi OM, Tengku Din T, Marzuki S, Maulidiani M, Mohd Rusli N, Badrol Hisham N, Hui Ying L, Yahya M, Wan Azman W, Ramli RA, Ramli RA, et al: Exploring the complex relationship between metabolomics and breast cancer early detection (Review). Mol Clin Oncol 22: 35, 2025.
APA
Alshajrawi, O.M., Tengku Din, T., Marzuki, S., Maulidiani, M., Mohd Rusli, N., Badrol Hisham, N. ... Wan Abdul Rahman, W. (2025). Exploring the complex relationship between metabolomics and breast cancer early detection (Review). Molecular and Clinical Oncology, 22, 35. https://doi.org/10.3892/mco.2025.2830
MLA
Alshajrawi, O. M., Tengku Din, T., Marzuki, S., Maulidiani, M., Mohd Rusli, N., Badrol Hisham, N., Hui Ying, L., Yahya, M., Wan Azman, W., Ramli, R. A., Wan Abdul Rahman, W."Exploring the complex relationship between metabolomics and breast cancer early detection (Review)". Molecular and Clinical Oncology 22.4 (2025): 35.
Chicago
Alshajrawi, O. M., Tengku Din, T., Marzuki, S., Maulidiani, M., Mohd Rusli, N., Badrol Hisham, N., Hui Ying, L., Yahya, M., Wan Azman, W., Ramli, R. A., Wan Abdul Rahman, W."Exploring the complex relationship between metabolomics and breast cancer early detection (Review)". Molecular and Clinical Oncology 22, no. 4 (2025): 35. https://doi.org/10.3892/mco.2025.2830
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