Publications by authors named "Zied Abdullaev"

Background: In 2019, the Open Pediatric Brain Tumor Atlas (OpenPBTA) was created as a global, collaborative open-science initiative to genomically characterize 1,074 pediatric brain tumors and 22 patient-derived cell lines. Here, we present an extension of the OpenPBTA called the Open Pediatric Cancer (OpenPedCan) Project, a harmonized open-source multiomic dataset from 6,112 pediatric cancer patients with 7,096 tumor events across more than 100 histologies. Combined with RNA sequencing (RNA-seq) from the Genotype-Tissue Expression and The Cancer Genome Atlas projects, OpenPedCan contains nearly 48,000 total biospecimens (24,002 tumor and 23,893 normal specimens).

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Juvenile myelomonocytic leukaemia (JMML) is a rare haematological malignancy caused by mutations in the Ras signalling pathway. Next-generation sequencing (NGS) and DNA methylation profiling used for diagnostic and risk stratification purposes are now standard of care in Europe and the United States for patients with JMML. To better understand how implementing these types of technologies would impact the treatment of JMML patients in different settings, molecular profiling was performed on 81 patients treated for JMML in Egypt from 2009 to 2022.

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Background: Methylation class pleomorphic xanthoastrocytoma (mcPXA) comprises tumors with the DNA methylation signature of classical PXA but with a wider histologic spectrum, including overlap with glioblastoma (GBM).

Methods: To clarify the histologic and molecular scope of mcPXA and characterize its clinical behavior, a cohort of 469 tumor samples from 458 patients matching to mcPXA by the DKFZ classifier (v12.6 score ≥0.

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Background: Glioblastoma (GBM) exhibits significant intra-tumoral heterogeneity. However, the presence and extent of intra-tumoral heterogeneity of stem-like and differentiated cell components based on methylation profiles remain poorly understood. Furthermore, the utility of integrating methylation profiles with radiomic features (radiomethylomics) for predicting these cellular states has not been explored.

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Purpose: Sarcomas pose a severe diagnostic challenge. A wide variety of these distinct entities need to be distinguished from each other and from less aggressive types of mesenchymal tumors, to ensure correct clinical management. A machine learning based classifier for sarcomas utilizing DNA methylation data from 1077 tumors recognizing 62 sarcoma types has already been developed and termed the sarcoma classifier, which we published in 2021.

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Succinate dehydrogenase (SDH), a critical enzyme in the citric acid cycle and respiratory electron transport chain, consists of 4 subunits: SDHA, SDHB, SDHC, and SDHD. Deficiency of a single subunit leads to the loss of SDH activity which is implicated in the development of a subset of gastrointestinal stromal tumors (GISTs): SDH-deficient GISTs. These GISTs arise almost exclusively in the stomach, have a female predilection, and primarily affect children and young adults.

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DNA methylation-based classification is integral to contemporary neuro-oncological diagnostics, as highlighted by the current World Health Organization (WHO) classification of central nervous system (CNS) tumors. We introduce the Heidelberg CNS Tumor Methylation Classifier version 12.8 (v12.

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A putative molecular subtype of IDH-wildtype diffuse glioma with recurrent MAPK pathway alterations has recently been reported. By dimensionality reduction analysis of genome-wide methylation profiling, these tumors form a distinct methylation cluster of gliomas. Characterization of 47 tumors from 45 patients reveals that these gliomas are predominantly supratentorial in young adults, are highly infiltrative, and harbor mitogen-activated protein kinase (MAPK) pathway alterations with high rates of CDKN2A/2B deletion, PDGFRA amplification, MYCN amplification, NF1 variants, and BRAF alterations.

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Background: Brain intraparenchymal schwannoma is a rare clinical entity, generally curable with adequate resection.

Methods And Results: We describe a case in a male patient first presenting at 19 months of age, the youngest reported age for this lesion. It also appears to be the first case connected to a germline TSC2 p.

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Atypical teratoid/rhabdoid tumor (ATRT) is an aggressive, malignant embryonal tumor with dismal long-term survival despite aggressive multimodal therapy. While this tumor typically presents in infancy or early childhood, there are published case reports of adult-onset ATRT. Making prognostic conclusions or therapeutic decisions for this older patient population remains challenging due to the paucity of these reports.

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Astrocytomas that harbor recurrent genomic alterations in MYB or MYBL1 are a group of Pediatric-type diffuse low-grade gliomas that were newly recognized in the 2021 WHO Classification of Tumors of the Central Nervous System. These tumors are described in the WHO classification as harboring fusions in MYB or MYBL1. In this report, we examine 14 consecutive cases in which a MYB or MYBL1 alteration was identified, each with diagnostic confirmation by genome-wide DNA methylation profiling (6 Angiocentric gliomas and 8 Diffuse astrocytomas, MYB- or MYBL1-altered), for their specific genomic alterations in these genes.

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Article Synopsis
  • The study focuses on malignant transformation (MT) in IDH-mutant gliomas, emphasizing the need to understand the mechanisms behind MT and intervene at early stages.
  • Researchers created two 3D cell models (403L and 403H) from the same patient's IDH-mutant glioma, representing low-grade (LGG) and high-grade (HGG) tumors, allowing for comparison of genetic and metabolic changes.
  • The findings indicate that the high-grade model (403H) is more aggressive, showing increased cell invasion and distinct metabolic alterations, providing a new framework for investigating MT in gliomas.
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Article Synopsis
  • The Open Pediatric Cancer (OpenPedCan) Project builds upon the earlier Open Pediatric Brain Tumor Atlas, analyzing data from over 6,000 pediatric cancer patients and providing a vast multi-omic dataset from various tumor types.
  • The project integrates multiple genomic and proteomic data types, allowing researchers to access harmonized data through platforms like GitHub, CAVATICA, and AWS.
  • OpenPedCan enhances molecular subtyping of tumors by incorporating methylation information, facilitating research that supports more accurate diagnosis and treatment strategies in pediatric cancer.
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Article Synopsis
  • Papillary tumor of the pineal region (PTPR) is a rare and unique tumor characterized by specific molecular and histopathologic features, with limited prior research on its variations and clinical presentations.
  • In a study of 76 confirmed PTPR cases, researchers identified two main methylation groups (PTPR-A and PTPR-B) and further classified PTPR-B into two subtypes (B1 and B2) based on DNA methylation profiles and genomic variations.
  • Clinical outcomes revealed that nearly half of the patients experienced tumor progression, with significant differences in outcomes among the identified subtypes, highlighting the tumor's molecular diversity and potential for recurrence.
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