Metabolomics in Cancer: From Biomarkers to Therapeutic Insights
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Oncology".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 218
Special Issue Editors
2. UCIBIO-Applied Molecular Biosciences Unit, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
Interests: cancer metabolomics; biomarker discovery; GC–MS and NMR-based metabolomics; therapy resistance; precision oncology; toxicology; regulatory science; risk assessment strategies; new approach methodologies (NAMs)
2. UCIBIO-Applied Molecular Biosciences Unit, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
Interests: metabolomics; urological cancers; toxicology; toxicometabolomics; drugs of abuse
Special Issues, Collections and Topics in MDPI journals
2. UCIBIO-Applied Molecular Biosciences Unit, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
Interests: targeted and untargeted metabolomics; GC-MS; NMR; biomarker discovery; disease detection; treatment response; precision medicine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As the most downstream layer of the omics cascade, metabolomics provides the molecular profile most closely reflecting phenotype and offers unique insight into the dynamic biochemical processes underlying cancer development and progression. Comprehensive profiling of low-molecular-weight metabolites and their interactions within complex biological systems enables a functional understanding of tumour initiation, therapeutic response, resistance mechanisms, and treatment-associated toxicity.
This Special Issue aims to provide a comprehensive platform dedicated to the conceptual design, methodological development, and translational application of metabolomics in cancer research. Particular emphasis will be placed on discovering, validating, and identifying metabolic vulnerabilities that could inform innovative therapeutic strategies, as well as on discovering diagnostic, prognostic, and predictive biomarkers. Submissions that incorporate advanced analytical platforms, applied across diverse matrices, together with computational and integrative approaches, are encouraged. These include, but are not limited to, bioinformatics, machine learning, network analysis, and multi-omics integration, combined with clinical parameters. Such frameworks are essential for achieving a systems-level understanding of tumour biology, advancing biomarker discovery, and identifying therapeutic targets to advance precision oncology.
This Special Issue will promote interdisciplinary research to advance the field of cancer, accelerating the implementation of metabolomics-driven biomarkers and therapeutic innovations. This will support the development of more effective interventions for cancer patients.
Dr. Filipa Amaro
Dr. Paula Guedes de Pinho
Dr. Joana Pinto
Guest Editors
Manuscript Submission Information
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Keywords
- cancer metabolomics
- metabolic reprogramming
- biomarker discovery
- precision oncology
- machine learning
- clinical data integration
- translational cancer research
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