Raman-based machine-learning platform reveals unique metabolic differences between IDHmut and IDHwt glioma.

Journal: Neuro-oncology
Published Date: Nov 4, 2024

Abstract

BACKGROUND: Formalin-fixed, paraffin-embedded (FFPE) tissue slides are routinely used in cancer diagnosis, clinical decision-making, and stored in biobanks, but their utilization in Raman spectroscopy-based studies has been limited due to the background coming from embedding media.

Authors

  • Adrian Lita
    National Cancer Institute, National Institutes of Health, Neuro-Oncology Branch, Bethesda, Maryland, USA.
  • Joel Sjöberg
    Department of Mathematics and Statistics, University of Turku, Turku, Finland.
  • David Păcioianu
    Faculty of Mathematics and Computer Science, University of Bucharest, Bucharest, Romania.
  • Nicoleta Siminea
    Department of Bioinformatics, National Institute for Research and Development in Biological Sciences, Bucharest, Romania.
  • Orieta Celiku
    National Cancer Institute, National Institutes of Health, Neuro-Oncology Branch, Bethesda, Maryland, USA.
  • Tyrone Dowdy
    National Cancer Institute, National Institutes of Health, Neuro-Oncology Branch, Bethesda, Maryland, USA.
  • Andrei Păun
    * Department of Computer Science, Faculty of Mathematics and Computer Science, University of Bucharest, Str. Academiei Nr. 14, Sector 1, C.P. 010014, Bucharest, Romania.
  • Mark R Gilbert
    UKAEA, Culham Science Centre, Abingdon, Oxfordshire OX14 3DB, UK.
  • Houtan Noushmehr
    Henry Ford Health System, Detroit, MI 48202, USA; University of São Paulo, Ribeirão Preto-SP 14049, Brazil. Electronic address: hnoushm1@hfhs.org.
  • Ion Petre
    Department of Bioinformatics, National Institute for Research and Development in Biological Sciences, Bucharest, Romania.
  • Mioara Larion
    National Cancer Institute, National Institutes of Health, Neuro-Oncology Branch, Bethesda, Maryland, USA.

Keywords

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