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Adult IDH Wild-Type Glioblastoma Ultrastructural Investigation Suggests a Possible Correlation between Morphological Biomarkers and Ki-67 Index.
Familiari, Pietro; Relucenti, Michela; Lapolla, Pierfrancesco; Palmieri, Mauro; Antonelli, Manila; Cristiano, Loredana; Barbaranelli, Claudio; Catalano, Myriam; D'Angelo, Luca; Familiari, Giuseppe; Santoro, Antonio; Frati, Alessandro; Bruzzaniti, Placido.
Afiliação
  • Familiari P; Department of Human Neurosciences, Division of Neurosurgery, Policlinico Umberto I University Hospital, Sapienza University of Rome, 00185 Rome, Italy.
  • Relucenti M; Department of Anatomy, Histology, Forensic Medicine, and Orthopedics, Sapienza University of Rome, 00185 Rome, Italy.
  • Lapolla P; Department of Human Neurosciences, Division of Neurosurgery, Policlinico Umberto I University Hospital, Sapienza University of Rome, 00185 Rome, Italy.
  • Palmieri M; Nuffield Department of Surgical Sciences, University of Oxford, Oxford OX3 9DU, UK.
  • Antonelli M; Department of Human Neurosciences, Division of Neurosurgery, Policlinico Umberto I University Hospital, Sapienza University of Rome, 00185 Rome, Italy.
  • Cristiano L; Department of Radiological, Oncological and Anatomo-Pathological Sciences, Sapienza University of Rome, 00185 Rome, Italy.
  • Barbaranelli C; Department of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
  • Catalano M; Department of Psychology, Sapienza University of Rome, 00185 Rome, Italy.
  • D'Angelo L; Department of Physiology and Pharmacology "Vittorio Erspamer", Sapienza University of Rome, 00185 Rome, Italy.
  • Familiari G; Department of Human Neurosciences, Division of Neurosurgery, Policlinico Umberto I University Hospital, Sapienza University of Rome, 00185 Rome, Italy.
  • Santoro A; Department of Anatomy, Histology, Forensic Medicine, and Orthopedics, Sapienza University of Rome, 00185 Rome, Italy.
  • Frati A; Department of Human Neurosciences, Division of Neurosurgery, Policlinico Umberto I University Hospital, Sapienza University of Rome, 00185 Rome, Italy.
  • Bruzzaniti P; Department of Human Neurosciences, Division of Neurosurgery, Policlinico Umberto I University Hospital, Sapienza University of Rome, 00185 Rome, Italy.
Biomedicines ; 11(7)2023 Jul 12.
Article em En | MEDLINE | ID: mdl-37509607
Glioblastoma is an aggressive brain tumor with an average life expectancy between 14 and 16 months after diagnosis. The Ki-67 labeling index (LI), a measure of cellular proliferation, is emerging as a prognostic marker in GBM. In this study, we investigated the ultrastructure of glioblastoma tissue from 9 patients with the same molecular profile (adult IDH wild-type glioblastoma, wild-type ATRX, and positive for TP53 expression, GFAP expression, and EGFR overexpression) to find possible ultrastructural features to be used as biomarkers and correlated with the only parameter that differs among our samples, the Ki-67 LI. Our main results were the visualization of the anatomical basis of astrocyte-endothelial cells crosstalk; the ultrastructural in situ imaging of clusters of hyperactivated microglia cells (MsEVs); the ultrastructural in situ imaging of microglia cells storing lipid vesicles (MsLVs); the ultrastructural in situ imaging of neoplastic cells mitophagy (NCsM). The statistical analysis of our data indicated that MsEVs and MsLVs correlate with the Ki-67 LI value. We can thus assume they are good candidates to be considered morphological biomarkers correlating to Ki-67 LI. The role of NCsM instead must be further evaluated. Our study findings demonstrate that by combining ultrastructural characteristics with molecular information, we can discover biomarkers that have the potential to enhance diagnostic precision, aid in treatment decision-making, identify targets for therapy, and enable personalized treatment plans tailored to each patient. However, further research with larger sample sizes is needed to validate these findings and fully utilize the potential of ultrastructural analysis in managing glioblastoma.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article