Discrimination of glioma patient-derived cells from healthy astrocytes by exploiting Raman spectroscopy

Nerea Iturrioz-Rodríguez, Daniele De Pasquale, Pietro Fiaschi, Gianni Ciofani

Research output: Contribution to journalArticlepeer-review

Abstract

Glioblastoma multiforme (GBM) is one of the most common and aggressive brain tumors. It presents a very bad prognosis with a patients’ overall survival of 12–15 months; treatment failure is mainly ascribable to tumor recurrence. The development of new tools, that could help the precise detection of the tumor border, is thus an urgent need. During the last decades, different vibrational spectroscopy techniques have been developed to distinguish cancer tissue from heathy tissue; in the present work, we compared GBM cells deriving from four patients with healthy human astrocytes using Raman spectroscopy. We have shown that the region between 1000 and 1300 cm−1 is enough informative for this discrimination, indeed highlighting that peaks related to DNA/RNA and cytochrome c are increased in cancer cells. Finally, our model has been able to discriminate cancer cells from healthy cells with an average accuracy of 92.5%. We believe that this study might help to further understand which are the essential Raman peaks exploitable in the detection of cancer cells, with important perspectives under a diagnostic point of view.

Original languageEnglish
Article number120773
JournalSpectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
Volume269
DOIs
Publication statusPublished - Mar 15 2022

Keywords

  • Diagnosis
  • Glioblastoma multiforme
  • PCA-LDA
  • Raman spectroscopy

ASJC Scopus subject areas

  • Analytical Chemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Spectroscopy

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