Relationship between glioblastoma location and O6-methylguanine-DNA methyltransferase promoter methylation percentage DOI Creative Commons
Giulio Sansone,

G Lombardi,

Marta Maccari

и другие.

Brain Communications, Год журнала: 2024, Номер 6(6)

Опубликована: Янв. 1, 2024

Abstract A large literature assessed the relationships between O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status and glioblastoma location with inconsistent results. Studies assessing this association using percentage of are lacking. This cross-sectional study aimed at investigating topology MGMT methylation, both as categorical (presence/absence) continuous (percentage) status. We included patients diagnosis isocitrate dehydrogenase wild-type [World Health Organization (WHO) 2021 classification], available pre-surgical MRI, known Quantitative assessment was obtained through pyrosequencing. Several analyses were performed for variables (χ2, t-tests, ANOVA Pearson’s correlations), in cortex/white matter/deep grey matter nuclei, lobes, left/right hemispheres functional white network templates. Furthermore, we voxel-wise level differences (i) methylated unmethylated glioblastomas (ii) highly lowly glioblastomas. Lastly, investigated linear relationship glioblastoma-voxel percentage. Ninety-three (66 males; mean age: 62.3 ± 11.3 years), 42 methylated. The 33.9 18.3%. No volume found MGMT-methylated MGMT-unmethylated patients. specific anatomical regions associated level. positively correlated cortical localization (R = 0.36, P 0.021) negatively deep nuclei −0.35, 0.025). To summarize, multiple approaches, including analyses. In conclusion, location, while no

Язык: Английский

Glioblastoma and brain connectivity: the need for a paradigm shift DOI
Alessandro Salvalaggio,

Lorenzo Pini,

Alessandra Bertoldo

и другие.

The Lancet Neurology, Год журнала: 2024, Номер 23(7), С. 740 - 748

Опубликована: Июнь 13, 2024

Язык: Английский

Процитировано

17

Pigs: Large Animal Preclinical Cancer Models DOI Open Access
Kirtan Joshi,

Tejas Katam,

Akshata Hegde

и другие.

World Journal of Oncology, Год журнала: 2024, Номер 15(2), С. 149 - 168

Опубликована: Март 21, 2024

Pigs are playing an increasingly vital role as translational biomedical models for studying human pathophysiology. The annotation of the pig genome was a huge step forward in translatability pigs model various diseases. Similarities between humans and terms anatomy, physiology, genetics, immunology have allowed to become comprehensive preclinical With diverse range, from craniofacial ophthalmology reproduction, wound healing, musculoskeletal, cancer, provided seminal understanding This review focuses on current research using cancer highlights strengths opportunities cancers.

Язык: Английский

Процитировано

7

Advancing Glioblastoma Therapy: Learning From the Past and Innovations for the Future DOI

Mandeep Rana,

Ke-Chi Liou,

Amandeep Thakur

и другие.

Cancer Letters, Год журнала: 2025, Номер unknown, С. 217601 - 217601

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Structural-functional fingerprinting for abnormalities investigation in glioma patients DOI
Maria Colpo, Erica Silvestri, Alessandro Salvalaggio

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Май 21, 2025

Gliomas alter brain function and integrity, but these disruptions are often studied separately. This study utilised a novel approach that integrated functional, structural microstructural connectivity information to investigate glioma-induced network changes their clinical implications. It focused on the impact of gliomas key networks, with particular emphasis relationship between tumour topology its effect homotopic areal-level parcellation. The investigation was grounded in unique dataset comprising functional diffusion images forty-one newly diagnosed glioma patients. Connectivity matrices (functional, structural, microstructural) were generated using parcellations combined into an integration matrix. A linear regression model compared patient data pseudo-healthy references. identified affected regions as those falling left tail distribution across patients parcellations. revealed lateralized affect networks both hemispheres, hemisphere lesions primarily altering homolateral contralateral healthy tissues. Abnormalities more easily detected distant from lesion rather than measures. highlighted heterogeneity alterations emphasised comprehensive understanding abnormalities requires integrating multiple modalities.

Язык: Английский

Процитировано

0

Indirect functional connectivity does not predict overall survival in glioblastoma DOI Creative Commons
Lorenzo Pini, Giuseppe Lombardi, Giulio Sansone

и другие.

Neurobiology of Disease, Год журнала: 2024, Номер 196, С. 106521 - 106521

Опубликована: Апрель 30, 2024

Lesion network mapping (LNM) is a popular framework to assess clinical syndromes following brain injury. The classical approach involves embedding lesions from patients into normative functional connectome and using the corresponding maps as proxies for disconnections. However, previous studies indicated limited predictive power of this in behavioral deficits. We hypothesized similarly low predictiveness overall survival (OS) glioblastoma (GBM). A retrospective dataset with GBM was included (n = 99). masks were registered space compute disconnectivity maps. consisted data 173 healthy subjects obtained Human Connectome Project. modified version LNM then applied core regions masks. Linear regression, classification, principal component (PCA) analyses conducted explore relationship between OS. OS considered both continuous categorical (low, intermediate, high survival) variable. results revealed no significant associations disconnection strength when analyzed at voxel-wise classification levels. Moreover, stratified different groups did not exhibit differences connectivity patterns. spatial similarity among first PCA each group suggested lack distinctive patterns associated duration. Compared indirect structural measures, does provide GBM. These findings are consistent research that demonstrated limitations measures predicting outcomes, underscoring need more comprehensive methodologies deeper understanding factors influencing outcomes challenging disease.

Язык: Английский

Процитировано

1

Relationship between glioblastoma location and O6-methylguanine-DNA methyltransferase promoter methylation percentage DOI Creative Commons
Giulio Sansone,

G Lombardi,

Marta Maccari

и другие.

Brain Communications, Год журнала: 2024, Номер 6(6)

Опубликована: Янв. 1, 2024

Abstract A large literature assessed the relationships between O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status and glioblastoma location with inconsistent results. Studies assessing this association using percentage of are lacking. This cross-sectional study aimed at investigating topology MGMT methylation, both as categorical (presence/absence) continuous (percentage) status. We included patients diagnosis isocitrate dehydrogenase wild-type [World Health Organization (WHO) 2021 classification], available pre-surgical MRI, known Quantitative assessment was obtained through pyrosequencing. Several analyses were performed for variables (χ2, t-tests, ANOVA Pearson’s correlations), in cortex/white matter/deep grey matter nuclei, lobes, left/right hemispheres functional white network templates. Furthermore, we voxel-wise level differences (i) methylated unmethylated glioblastomas (ii) highly lowly glioblastomas. Lastly, investigated linear relationship glioblastoma-voxel percentage. Ninety-three (66 males; mean age: 62.3 ± 11.3 years), 42 methylated. The 33.9 18.3%. No volume found MGMT-methylated MGMT-unmethylated patients. specific anatomical regions associated level. positively correlated cortical localization (R = 0.36, P 0.021) negatively deep nuclei −0.35, 0.025). To summarize, multiple approaches, including analyses. In conclusion, location, while no

Язык: Английский

Процитировано

0