Last Posted: Oct 19, 2021
- Artificial Intelligence Applications in Pediatric Brain Tumor Imaging: A Systematic Review.
Huang Jonathan et al. World neurosurgery 2021
- Automatic Machine Learning to Differentiate Pediatric Posterior Fossa Tumors on Routine MR Imaging.
Zhou H et al. AJNR. American journal of neuroradiology 2020 Jul 41(7) 1279-1285
- The TP53 p.R337H mutation is uncommon in a Brazilian cohort of pediatric patients diagnosed with ependymoma.
de Almeida Magalhães Taciani, et al. Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology 2019 11
- Targeted next-generation sequencing of pediatric neuro-oncology patients improves diagnosis, identifies pathogenic germline mutations, and directs targeted therapy.
Kline Cassie N et al. Neuro-oncology 2017 19(5) 699-709
- The 5'UTR variant of ERCC5 fails to influence outcomes in ovarian and lung cancer patients undergoing treatment with platinum-based drugs.
Rulli Eliana, et al. Scientific reports 2016 12 39217
- Genetic differences on intracranial versus spinal cord ependymal tumors: a meta-analysis of genetic researches.
Lee Chang-Hyun, et al. European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society 2016 9
- Epidermal growth factor receptor overexpression is common and not correlated to gene copy number in ependymoma.
Friedrich Carsten, et al. Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery 2015 12
- Effect of a detailed family history of melanoma on risk for other tumors: a cohort study based on the nationwide Swedish Family-Cancer Database.
- An analysis of the prognostic value of IDH1 (isocitrate dehydrogenase 1) mutation in Polish glioma patients.
Lewandowska Marzena Anna, et al. Molecular diagnosis & therapy 2014 2 (1) 45-53
- Anaplastic ependymoma
From NCATS Genetic and Rare Diseases Information Center
Rare Disease PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other information that address the public health impact and translation of genomic and other precision health discoveries into improved health outcomes related to rare diseases...more
Selected Rare Diseases
- Alpha-1 Antitrypsin Deficiency
- Amyotrophic Lateral Sclerosis
- Brugada Syndrome
- Cerebral Palsy
- Cystic Fibrosis
- Duchenne Muscular Dystrophy
- Erythema Multiforme
- Familial Mediterranean Fever
- Fragile X Syndrome
- Gaucher Disease
- Graves Disease
- Huntington Disease
- Myasthenia Gravis
- Retinitis Pigmentosa
- Severe Combined Immunodeficiency
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.