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Epigenetic Control of Adamantinomatous Craniopharyngiomas

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Marrero-Gutierrez, Junier ; Bueno, Ana Carolina ; Martins, Clarissa Silva ; Coeli-Lacchini, Fernanda Borchers ; Silva-Junior, Rui M. Patricio ; Goncalves, Gabriel Henrique Marques ; Ozaki, Jorge Guilherme Okanobo ; Silva, Danillo C. de Almeida e ; Wildemberg, Luiz Eduardo ; Antunes, Ximene Lima da Silva ; dos Santos, Antonio Carlos ; Machado, Helio Rubens ; Santos, Marcelo Volpon ; Moreira, Ayrton Custodio ; Gadelha, Monica R. ; Vencio, Ricardo Zorzetto Nicoliello ; Antonini, Sonir Roberto R. ; de Castro, Margaret
Total Authors: 18
Document type: Journal article
Source: JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM; v. 109, n. 10, p. 14-pg., 2024-01-05.
Abstract

Introduction: Studies addressing the methylation pattern in adamantinomatous craniopharyngioma (ACP) are lacking. Objective To identify methylation signatures in ACPs regarding clinical presentation and outcome. Methods Clinical and pathology data were collected from 35 patients with ACP (54% male; 18.1 years [2-68]). CTNNB1 mutations and methylation profile (MethylationEPIC/Array-Illumina) were analyzed in tumoral DNA. Unsupervised machine learning analysis of this comprehensive methylome sample was achieved using hierarchical clustering and multidimensional scaling. Statistical associations between clusters and clinical features were achieved using the Fisher test and global biological process interpretations were aided by Gene Ontology enrichment analyses. Results :Two clusters were revealed consistently by all unsupervised methods (ACP-1: n = 18; ACP-2: n = 17) with strong bootstrap statistical support. ACP-2 was enriched by CTNNB1 mutations (100% vs 56%, P = .0006), hypomethylated in CpG island, non-CpG Island sites, and globally (P < .001), and associated with greater tumor size (24.1 vs 9.5 cm3, P = .04). Enrichment analysis highlighted pathways on signaling transduction, transmembrane receptor, development of anatomical structures, cell adhesion, cytoskeleton organization, and cytokine binding, and cell type-specific biological processes as regulation of oligodendrocytes, keratinocyte, and epithelial cells differentiation. Conclusion : Two clusters of patients with ACP were consistently revealed by unsupervised machine learning methods, with one of them significantly hypomethylated, enriched by CTNNB1 mutated ACPs, and associated with increased tumor size. Enrichment analysis reinforced pathways involved in tumor proliferation and in cell-specific tumoral microenvironment. (AU)

FAPESP's process: 21/04368-9 - Physiopathological and molecular mechanisms of tumorigenesis: Genomic scale sequencing platform based approach (NGS - Next-generation sequencing)
Grantee:Danillo Cunha de Almeida e Silva
Support Opportunities: Scholarships in Brazil - Technical Training Program - Technical Training
FAPESP's process: 14/03989-6 - Uncovering pathophysiological and molecular mechanisms involved in tumorigenesis by platforms for next-generation sequencing (NGS)
Grantee:Margaret de Castro
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 20/03835-0 - Application of standard Artificial Intelligence protocols on transcriptome of pediatric adrenocortical tumors for stratification and search for biomarkers
Grantee:Junier Marrero Gutiérrez
Support Opportunities: Scholarships in Brazil - Technical Training Program - Technical Training