MicroRNA expression profiling for Molecular Classification of pediatric brain tumors

2011 ◽  
Vol 57 (1) ◽  
pp. 183-184 ◽  
Author(s):  
Simone Treiger Sredni ◽  
Chiang-Ching Huang ◽  
Maria de Fátima Bonaldo ◽  
Tadanori Tomita
Keyword(s):  
Brain Tumors ◽  
Expression Profiling ◽  
Molecular Classification ◽  
Pediatric Brain Tumors ◽  
Microrna Expression ◽  
Pediatric Brain

scholarly journals Advances in the molecular classification of pediatric brain tumors: a guide to the galaxy

2020 ◽  
Vol 251 (3) ◽  
pp. 249-261 ◽  
Author(s):  
Chantel Cacciotti ◽  
Adam Fleming ◽  
Vijay Ramaswamy
Keyword(s):  
Brain Tumors ◽  
Molecular Classification ◽  
Pediatric Brain Tumors ◽  
The Galaxy ◽  
Pediatric Brain

scholarly journals Advances in the classification of pediatric brain tumors through DNA methylation profiling: From research tool to frontline diagnostic

Cancer ◽  
2018 ◽  
Vol 124 (21) ◽  
pp. 4168-4180 ◽  
Author(s):  
Rahul Kumar ◽  
Anthony P. Y. Liu ◽  
Brent A. Orr ◽  
Paul A. Northcott ◽  
Giles W. Robinson
Keyword(s):  
Dna Methylation ◽  
Brain Tumors ◽  
Pediatric Brain Tumors ◽  
Research Tool ◽  
Dna Methylation Profiling ◽  
Pediatric Brain ◽  
Methylation Profiling

Review of molecular classification and treatment implications of pediatric brain tumors

2018 ◽  
Vol 30 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Ana S. Guerreiro Stucklin ◽  
Vijay Ramaswamy ◽  
Craig Daniels ◽  
Michael D. Taylor
Keyword(s):  
Brain Tumors ◽  
Molecular Classification ◽  
Pediatric Brain Tumors ◽  
Pediatric Brain ◽  
Classification And Treatment

scholarly journals Application of pattern recognition techniques for classification of pediatric brain tumors by in vivo 3T 1 H‐MR spectroscopy—A multi‐center study

2017 ◽  
Vol 79 (4) ◽  
pp. 2359-2366 ◽  
Author(s):  
Niloufar Zarinabad ◽  
Laurence J. Abernethy ◽  
Shivaram Avula ◽  
Nigel P. Davies ◽  
Daniel Rodriguez Gutierrez ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Brain Tumors ◽  
Mr Spectroscopy ◽  
Pediatric Brain Tumors ◽  
Pattern Recognition Techniques ◽  
Multi Center Study ◽  
Pediatric Brain ◽  
Center Study

scholarly journals Pediatric Brain Tumors: From Modern Classification System to Current Principles of Management

2021 ◽  
Author(s):  
Ahmad Ozair ◽  
Erum Khan ◽  
Vivek Bhat ◽  
Arjumand Faruqi ◽  
Anil Nanda
Keyword(s):  
Brain Tumors ◽  
Pediatric Brain Tumors ◽  
Solid Organ ◽  
Therapeutic Decision ◽  
Modern Classification ◽  
Therapeutic Decision Making ◽  
Pediatric Brain ◽  
Cns Malignancies

Central nervous system (CNS) malignancies contribute significantly to the global burden of cancer. Brain tumors constitute the most common solid organ tumors in children and the second most common malignancies of childhood overall. Accounting for nearly 20% of all pediatric malignancies, these are the foremost cause of cancer-related deaths in children 0–14 years of age. This book chapter provides a state-of-the-art overview of pediatric brain tumors. It discusses their morbidity and mortality and introduces the WHO 2021 classification of CNS tumors, which is critical to therapeutic decision-making. It then describes the modern understanding of tumor grading and its clinical implications, followed by the general principles of diagnosis and management. The chapter then discusses, in detail, those brain tumors which have the highest disease burden in children, including medulloblastoma, astrocytoma, ependymoma, schwannoma, meningioma, amongst others. The landscape of treatment of pediatric brain tumors has been rapidly evolving, with several effective therapies on the horizon.

scholarly journals Multiclass imbalance learning: Improving classification of pediatric brain tumors from magnetic resonance spectroscopy

2016 ◽  
Vol 77 (6) ◽  
pp. 2114-2124 ◽  
Author(s):  
Niloufar Zarinabad ◽  
Martin Wilson ◽  
Simrandip K Gill ◽  
Karen A Manias ◽  
Nigel P Davies ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Brain Tumors ◽  
Pediatric Brain Tumors ◽  
Resonance Spectroscopy ◽  
Imbalance Learning ◽  
Pediatric Brain

scholarly journals Multiparametric Analysis of Permeability and ADC Histogram Metrics for Classification of Pediatric Brain Tumors by Tumor Grade

2018 ◽  
Vol 39 (3) ◽  
pp. 552-557 ◽  
Author(s):  
S. Vajapeyam ◽  
D. Brown ◽  
P.R. Johnston ◽  
K.I. Ricci ◽  
M.W. Kieran ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Tumor Grade ◽  
Pediatric Brain Tumors ◽  
Multiparametric Analysis ◽  
Pediatric Brain

Different pediatric brain tumors are associated with different gene expression profiling

2015 ◽  
Vol 117 (4-5) ◽  
pp. 477-485 ◽  
Author(s):  
Michelino Di Rosa ◽  
Cristina Sanfilippo ◽  
Massimo Libra ◽  
Giuseppe Musumeci ◽  
Lucia Malaguarnera
Keyword(s):  
Gene Expression ◽  
Brain Tumors ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Pediatric Brain Tumors ◽  
Pediatric Brain

Survey of MicroRNA expression in pediatric brain tumors

2010 ◽  
Vol 56 (2) ◽  
pp. 211-216 ◽  
Author(s):  
Diane K. Birks ◽  
Valerie N. Barton ◽  
Andrew M. Donson ◽  
Michael H. Handler ◽  
Rajeev Vibhakar ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Pediatric Brain Tumors ◽  
Microrna Expression ◽  
Pediatric Brain
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