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Algorithm for the integrated diagnosis of gliomas 2021. Our experience

Merenzon, Martín A ; Gómez Escalante, José Ignacio ; Prost, Diego ; Seoane, Eduardo ; Mazzón, Alejandro ; Rojas Bilbao, Érica

Medicina, 2022-08, Vol.82 (3), p.370 [Periódico revisado por pares]

Argentina

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  • Título:
    Algorithm for the integrated diagnosis of gliomas 2021. Our experience
  • Autor: Merenzon, Martín A ; Gómez Escalante, José Ignacio ; Prost, Diego ; Seoane, Eduardo ; Mazzón, Alejandro ; Rojas Bilbao, Érica
  • Assuntos: Algorithms ; Brain Neoplasms - diagnosis ; Brain Neoplasms - epidemiology ; Brain Neoplasms - genetics ; Female ; Glioma - diagnosis ; Glioma - epidemiology ; Glioma - genetics ; Humans ; Isocitrate Dehydrogenase - genetics ; Male ; Middle Aged ; Tumor Suppressor Protein p53 - genetics
  • É parte de: Medicina, 2022-08, Vol.82 (3), p.370
  • Descrição: The utilization of the different molecular techniques for the diagnosis of gliomas according to the WHO classification is still not available to everyone in our country. Our objective was to describe the diagnostic algorithm developed based on available resources, in accordance with the current classification (2021). Also, to describe the epidemiological profile of gliomas diagnosed between 2018-2021 at the Roffo Institute and compare it with the international literature. IDH1-R132H and ATRX mutation, as well as 1p19q status, CDKN2A, EGFR, and p53 were evaluated. 94 patients were included, 53.2% were male, with a mean age of 50.9 years. The most frequent diagnosis was GB IDH1-wild type (63.8%). Considering only grade 2 and 3 gliomas, diffuse astrocytoma IDH1-Mutated / ATRX-Mutated / p53-overexpressed, grade 2 (11.7%) was the most frequent diagnosis. Regarding their location, 67% of the tumors were located in the neocortical telencephalon: 24.5% of the total in the frontal lobe. In 95.7% of cases, a conclusive integrated diagnosis was reached following the proposed algorithm. The epidemiological characteristics coincide with what has been published in the literature. Molecular biology allowed us to clearly differentiate pathologies that we assumed were related from a histological point of view, but which, observing their natural history, their genetics and their response to established treatments were different tumors, although they were all called "gliomas". International standards do not conceive CNS tumor diagnosis without molecular biology. It is not acceptable to continue to diagnose only with histological standards. The proposed algorithm could be a viable and reliable alternative.
  • Editor: Argentina
  • Idioma: Espanhol
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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