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Evaluation of ploidy and the DNA index by flow cytometry in central nervous system tumors: a review.

Authors :
David FS
Antonio RJ
de Jesus PJ
Francisco SU
Jennifer SH
Alfredo CR
Ulises RV
Lucina BM
Source :
Molecular biology reports [Mol Biol Rep] 2024 Nov 11; Vol. 51 (1), pp. 1141. Date of Electronic Publication: 2024 Nov 11.
Publication Year :
2024

Abstract

Research on central nervous system tumors (CNSTs) has a significant impact on the diagnosis and prognosis of patients. Currently, CNSTs are classified according to the schema proposed by the World Health Organization (WHO), which considers clinical, histopathological, and molecular characteristics, highlighting the importance of tumor biology for accurate diagnosis and optimal treatment approaches. Despite these advances, assessing DNA ploidy-a marker of tumor aggressiveness-remains complex in CNSTs. This review investigates the utility of DNA index (DNAi) and DNA ploidy analysis by flow cytometry in diagnosing CNSTs and prognosing their outcomes. We systematically reviewed studies in the PubMed database from 1990 to the present using the keywords "DNA Index", "Brain", "Flow cytometry", and "Ploidy". We identified 151 studies, 36 of which met our inclusion criteria. We found considerable variation in sample sizes and methodological variation across the studies. Discrepancies between the reported DNAi and ploidy values were observed. Aneuploidy is generally associated with more aggressive tumors, although exceptions exist. Higher DNAi levels correlate with increased malignancy, notably in glioblastomas, astrocytomas, and meningiomas, whereas diploid astrocytomas and oligodendrogliomas are associated with shorter survival rates. DNA ploidy assessment via flow cytometry could predict CNST behavior, yet methodological issues with tissue selection, adequate control samples, and technique variability remain. DNAi and ploidy assessments show promise as prognostic markers in CNSTs. However, the standardization of flow cytometry protocols and alignment with the current WHO classification schema are essential steps to integrate ploidy analysis in routine CNST assessment.<br />Competing Interests: Declarations Ethical approval Not applicable. Competing interests The authors declare no competing interests.<br /> (© 2024. The Author(s), under exclusive licence to Springer Nature B.V.)

Details

Language :
English
ISSN :
1573-4978
Volume :
51
Issue :
1
Database :
MEDLINE
Journal :
Molecular biology reports
Publication Type :
Academic Journal
Accession number :
39527321
Full Text :
https://doi.org/10.1007/s11033-024-10095-6