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DOI 10.1007/s11060-023-04342-2

Медицинская библиотека · Journal of neuro-oncology · 2023

Low expression of Ki-67/MIB-1 labeling index in IDH wild type glioblastoma predicts prolonged survival independently by MGMT methylation status.

Tini Paolo, Yavoroska Mariya, Mazzei Maria Antonietta, Miracco Clelia, Pirtoli Luigi, Tomaciello Miriam, Marampon Francesco, Minniti Giuseppe

Наблюдательное исследованиеСтатьяПеревод пока не подготовлен

Аннотация

PURPOSE: The Ki-67/MIB-1 labeling index (LI) is clinically used to differentiate between high and low-grade gliomas, while its prognostic value remains questionable. Glioblastoma (GBM) expressing wild-type isocitrate dehydrogenase IDHwt, a relatively common malignant brain tumor in adults, is characterized by a dismal prognosis. Herein, we have retrospectively investigated the prognostic role of Ki-67/MIB-1-LI in a large group of IDHwt GBM.

METHODS

One hundred nineteen IDHwt GBM patients treated with surgery followed by Stupp's protocol in our Institution between January 2016 and December 2021 were selected. A cut-off value for Ki-67/MIB-1-LI was used with minimal p-value based approach.

RESULTS

A multivariate analysis showed that Ki-67/MIB-1-LI expression < 15% significantly correlated with a longer overall survival (OS), independently from the age of the patients, Karnofsky performance status scale, extent of surgery and O6-methylguanine (O6-MeG)-DNA methyltransferase promoter methylation status.

CONCLUSIONS

Among other studies focused on Ki-67/MIB-1-LI, this is the first observational study showing a positive correlation between OS of IDHwt GBM patients and Ki-67/MIB-1-LI that we propose as a new predictive marker in this subtype of GBM.

Для цитирования: Tini Paolo, Yavoroska Mariya, Mazzei Maria Antonietta, Miracco Clelia, Pirtoli Luigi, Tomaciello Miriam, Marampon Francesco, Minniti Giuseppe. Low expression of Ki-67/MIB-1 labeling index in IDH wild type glioblastoma predicts prolonged survival independently by MGMT methylation status.. Journal of neuro-oncology. 2023. DOI: 10.1007/s11060-023-04342-2.

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