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Novel Metabolism-Related Biomarkers in Cancer

A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Bioorganic Chemistry".

Deadline for manuscript submissions: 28 February 2025 | Viewed by 30

Special Issue Editors


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Guest Editor
1. School of Medicine, University of Minho, 4710-057 Braga, Portugal
2. ICVS/3B's PT Government Associate Laboratory, 4710-057 Braga, Portugal
Interests: cancer glycolytic metabolism; new metabolic biomarkers in cancer; cancer drug resistance; drug discovery in cancer
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
1. School of Medicine, University of Minho, 4710-057 Braga, Portugal
2. ICVS/3B's PT Government Associate Laboratory, 4710-057 Braga, Portugal
Interests: bladder cancer; chemoresistance; immunotherapy resistance; cancer metabolism; Warburg effect; monocarboxylate transporters; CD147; tumor microenvironment; cancer-associated fibroblasts
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Cancer is a major global threat to public health, and validated, specific and sensitive cancer biomarkers are increasingly being used to accurately diagnose and manage cancer patients. However, patient treatment remains largely unsuccessful in the long term due to evolving metabolic alterations and intricate signaling within the challenging cancer microenvironment. Metabolic networks sustain fundamental cellular functions, from energy production to biosynthesis, to determine cellular fates. Distinct metabolic signatures are displayed by different cancer types, and increasing understanding of the hallmarks of metabolic reprogramming and plasticity in cancer cells is generating novel metabolism-related biomarkers that show promise in further advancing personalized medicine and improving patients’ outcomes. This Special Issue will highlight recent developments in cancer metabolism-related biomarkers’ discovery and validation, encompassing not only the historical Warburg fundamentals of the glycolytic phenotype, but also other metabolic patterns, such as amino acid, lipid and trace element metabolism, that will certainly contribute to deciphering cancer complexity and aid in directing future therapeutic interventions.

Dr. Maria de Fátima Monginho Baltazar
Dr. Julieta Alexandra Pereira Afonso
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Molecules is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • cancer biomarkers
  • personalized medicine
  • metabolism
  • glucose
  • amino acid
  • glutamine
  • lipid
  • iron

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