Detection of Nail Oncometabolite SAICAR in Oral Cancer Patients and Its Molecular Interactions with PKM2 Enzyme

Rushikesh Patel1, Ajay Kumar Raj1, Kiran Bharat Lokhande2

  • 1Cancer and Translational Research Lab, Dr. D. Y. Patil Biotechnology & Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune 411033, Maharashtra, India.

Insights

Succinylaminoimidazolecarboxamide ribose5'-phosphate (SAICAR), an oncometabolite, was detected in oral cancer patient nails. SAICAR interacts with pyruvate kinase M2 (PKM2), suggesting its potential as a novel oral cancer biomarker.

Area of Science:

  • Biochemistry
  • Oncology
  • Metabolomics

Background:

  • Oncometabolites drive metabolic adaptations in oral cancer, influencing the tumor microenvironment.
  • Succinylaminoimidazolecarboxamide ribose5'-phosphate (SAICAR) is implicated in cancer cell growth and invasiveness, particularly in glucose-starved conditions.
  • A knowledge gap exists regarding SAICAR detection in biological samples like oral cancer patient nails.

Purpose of the Study:

  • To investigate the presence and role of SAICAR in oral cancer.
  • To identify SAICAR in the nails of oral cancer patients.
  • To elucidate the molecular interactions between SAICAR and pyruvate kinase M2 (PKM2).

Main Methods:

  • Metabolite identification of SAICAR using novel vertical tube gel electrophoresis (VTGE) and LC-HRMS.
  • Molecular docking and molecular dynamics simulations (MDS) to analyze SAICAR-PKM2 interactions.
  • Analysis of SAICAR binding affinity and stability with PKM2.

Main Results:

  • SAICAR was detected in the nails of oral cancer patients.
  • Molecular docking revealed significant binding affinity (-8.0 kcal/mol) of SAICAR with key PKM2 residues.
  • MDS confirmed stable binding of SAICAR within the PKM2 activator site.

Conclusions:

  • SAICAR is a potential oncometabolite biomarker detectable in the nails of oral cancer patients.
  • SAICAR exhibits significant activation potential with the PKM2 enzyme.
  • This finding opens avenues for novel diagnostic strategies in oral cancer detection.

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