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Ependymoma

Ependymoma is a type of glioma that originates from the ependymal cells lining the ventricles of the brain and the central canal of the spinal cord.
It is a rare form of cancer that can occur in both children and adults.
Ependymomas are classified based on their location, grade, and genetic characteristics.
They can cause neurological symptoms such as headaches, seizures, and difficulty with motor function.
Early diagnosis and appropriate treatment, which may include surgery, radiation therapy, and chemotherapy, are important for improving outcomes in patients with ependymoma.

Most cited protocols related to «Ependymoma»

Human ependymoma samples were obtained from tumor banks with Institutional Review Board approval. Human and mouse tumors comprised a minimum of 85% tumor cells. Expression profiles were generated using Affymetrix U133 Plusv2 (mRNA human) and 430v2 (mRNA mouse) arrays and Agilent miRNA arrays (human). Expression profiles of 53 human medulloblastomas and 76 glioblastomas were obtained from previously published studies29 (link),30 (link). DNA copy number analyses were performed using the Affymetrix 500K SNP mapping arrays. CNAs were validated by real-time PCR (see Supplemental Table 4) and/or FISH as appropriate7 (link). mRNA and miRNA expression profiles and DNA CNAs were analyzed, validated and integrated using established and novel bioinformatic and statistical approaches (see Supplemental Methods). Common orthologs were filtered from human mouse mRNA expression arrays using sequence mapping.
Publication 2010
Cells Ependymoma Ethics Committees, Research Fishes Glioblastoma Homo sapiens Medulloblastoma MicroRNAs Mus Neoplasms Real-Time Polymerase Chain Reaction RNA, Messenger
Human ependymoma samples were obtained from tumor banks with Institutional Review Board approval. Human and mouse tumors comprised a minimum of 85% tumor cells. Expression profiles were generated using Affymetrix U133 Plusv2 (mRNA human) and 430v2 (mRNA mouse) arrays and Agilent miRNA arrays (human). Expression profiles of 53 human medulloblastomas and 76 glioblastomas were obtained from previously published studies29 (link),30 (link). DNA copy number analyses were performed using the Affymetrix 500K SNP mapping arrays. CNAs were validated by real-time PCR (see Supplemental Table 4) and/or FISH as appropriate7 (link). mRNA and miRNA expression profiles and DNA CNAs were analyzed, validated and integrated using established and novel bioinformatic and statistical approaches (see Supplemental Methods). Common orthologs were filtered from human mouse mRNA expression arrays using sequence mapping.
Publication 2010
Cells Ependymoma Ethics Committees, Research Fishes Glioblastoma Homo sapiens Medulloblastoma MicroRNAs Mus Neoplasms Real-Time Polymerase Chain Reaction RNA, Messenger

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Publication 2011
Brain Crossbreeding DNA Library Ependymoma Exons Gene Chips Genes Genome, Human Homo sapiens Microarray Analysis Neoplasms Oligonucleotides
Data were combined from five previous studies in which the incident cases of childhood cancer were identified from the population-based cancer registries of five states: California, Minnesota, New York (excluding New York City), Texas, and Washington. Cases were diagnosed between 1980 and 2004. The details of each state's selection and inclusion criteria have been previously reported 14 (link). Children up to age 14 years at diagnosis were included except in California where only cases less than 5 years of age were included (the CA study was originally designed to study early childhood cancers only). Cases were matched to birth certificates using probabilistic or sequential deterministic record linkage. Controls were randomly selected from each state's birth registry, in ratios to cases varying from 1:1 to 1:10 (differed by state). They were matched on date of birth in all states and also matched on sex in California and Texas. Any subject reported to have Down syndrome was excluded (n=100). Because subjects diagnosed before age 28 days were excluded in some of the states, this criterion was applied to all cases for consistency.
We classified the cancers according to the International Classification of Childhood Cancer (ICCC-3) and examined all groups with at least 200 cases 15 (link). We made one exception to this rule in order to examine the 109 cases of chronic myeloproliferative diseases (CMD) because of our interest in leukemia sub-types. Wilms tumors and retinoblastoma were further examined by unilateral and bilateral occurrence. Additionally we examined the CNS tumors by type to reflect clinically relevant biological differences using categories previously developed 16 . We classified pilocytic astrocytomas, astrocytomas not otherwise specified, and other grade I and II gliomas into the low grade glioma category. Malignant gliomas, anaplastic astrocytomas, and other grade III and IV gliomas were grouped into the high grade glioma category. Other separate categories included medulloblastomas, primitive neuroectodermal tumors (PNET), ependymomas, and intracranial/intraspinal germ cell tumors.
Odds ratios (OR) and 95% confidence intervals (CI) were calculated using unconditional logistic regression (SAS version 9.1). The individual matching of the California cases and controls was broken to allow the use of this procedure. The other states used frequency matching. We examined birth order in four categories: first, second, third, and fourth or more. In the multivariable analyses we adjusted for matching and pooling variables (state, sex, year of birth), maternal race, maternal age, singleton vs. multiple birth, gestational age, and birth weight (all categorized as shown in Table 2). We also stratified the analyses for the leukemia sub-types by age at diagnosis (0-4 years, 5-9 years, 10-14 years).
Publication 2010
Astrocytoma Astrocytoma, Anaplastic Biopharmaceuticals Birth Weight Central Nervous System Neoplasms Child Childbirth Diagnosis Down Syndrome Ependymoma Gestational Age Glioma Leukemia Malignant Glioma Malignant Neoplasms Medulloblastoma Mothers Multiple Birth Offspring Myeloproliferative Disorders Nephroblastoma Neuroectodermal Tumor, Primitive Pilocytic Astrocytoma Retinoblastoma Tumor, Germ Cell

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Publication 2009
Astrocytes Brain Neoplasms Cell Culture Techniques Cells Ependymoma Glial Fibrillary Acidic Protein Glioblastoma Multiforme Medulloblastoma Rodent Sterility, Reproductive Subventricular Zone

Most recents protocols related to «Ependymoma»

This study of pediatric central nervous system tumors was approved by the Institutional Review Board Study #00030211. Tumor and non-tumor tissues were collected from patients treated at Dartmouth Hitchcock Medical Center from 1993 to 2017. Patients consented to use of tissues for research purposes. Histopathologic tumor type and grade for each sample were re-reviewed according to the 2021 WHO classification of CNS tumors and categorized into the major tumor types5 (link). Tumor types included in this study are astrocytoma, embryonal tumors, ependymoma, glioneuronal/neuronal tumors, glioblastoma, and Schwannoma. The average age at diagnosis of subjects from whom the tumor tissues were derived from in this study was 9.3 (range: 0.75 – 18). Male subjects accounted for 62.9% of the tumor samples and female subjects accounted for 37.1% of the tumor samples. Non-tumor brain tissues were obtained from pediatric patients with epilepsy who underwent surgical resection. The average age at diagnosis of subjects from whom the non-tumor samples were derived from was 6.2 (0.58 – 11). Male subjects accounted for 33.3% of the non-tumor samples and female subjects accounted for 66.7% of the non-tumor samples. Specific demographic characteristics of patients for the study are provided in Table 1 and sample information for each subject are provided in Supplementary Table 1.
Publication Preprint 2023
Astrocytoma Brain Central Nervous System Neoplasms Diagnosis Embryonal Neoplasm Ependymoma Epilepsy Ethics Committees, Research Glioblastoma Multiforme Males Neoplasms Neurilemmoma Neurons Operative Surgical Procedures Patients Tissues Woman
We searched for public data on BT microarray datasets in order to assess the expression levels of TSGA10 and GGNBP2. The GEO (34 (link)) database was searched by applying filters to find the experiments, including healthy brain samples and intact brain samples with different BTs. Accordingly, all the studies or samples with BT patients undergoing any treatment methods were removed from the data. Datasets with GSE15824 (35 (link)), GSE35493 (36 (link)), and GSE50161 (37 (link)) were finally selected to be included in this study. Matrix data and description data files were downloaded to find differentially expressed genes (DEGs) and the screening expression levels of TSGA10 and GGNBP2. Given that each experiment included various types of tumors, we selected the samples required for each comparison. In this regard, a comparison of glioblastoma (12 samples) vs. healthy control (9 samples) and medulloblastoma (21 samples) vs. healthy control (9 samples) was conducted from the GSE35493 dataset. Moreover, BTs (33 samples including glioblastoma and medulloblastoma samples) vs. healthy control (12 samples) were compared from this dataset. Furthermore, Oligodendrioma (7 samples) vs. healthy control (2 samples), glioblastoma (25 samples) vs. healthy control (2 samples), and astrocytoma (11 samples) vs. healthy control (2 samples) were compared from the GSE15824 dataset. A comparison of BTs (42 samples including mentioned BT samples) vs. healthy control (2 samples) was also performed for this platform. Then astrocytoma (15 samples) vs. healthy control (13 samples), ependymoma (46 samples) vs. healthy control (13 samples), glioblastoma (34 samples) vs. healthy control (13 samples), and medulloblastoma (22 samples) vs. control (13 samples) were compared from the GSE50161 dataset. Finally, BTs (117 samples including mentioned BT samples) and healthy control (13 samples) were compared from the same dataset.
Publication 2023
Astrocytoma Brain Ependymoma Genes Glioblastoma Medulloblastoma Microarray Analysis Neoplasms Patients
We performed a systematic search of PSAE on PubMed and EMBASE (Figure 1). Keywords and MeSH terms, such as “spinal cord tumor”, “ependymal tumor”, “primary spinal anaplastic ependymoma” were incorporated into our search strategy. We also searched the references of the included articles for possible cases.
Two reviewers independently and in duplicate performed the title and abstract screening, full-text eligibility assessment and data extraction for every retrieved item from inception till January 1st, 2021 (Supplement Material 3). A third reviewer was consulted if there was any ambiguity. Inclusion criteria for literature cases were (1) primary intraspinal tumor, and (2) the definitive diagnosis of spinal anaplastic ependymoma. Exclusion criteria were (1) undefined pathological diagnosis or ambiguous definitions, such as “grade 4 ependymoma”, “high-grade ependymoma”, and “poorly differentiated”, and (2) intraspinal dissemination secondary to intracranial anaplastic ependymomas. Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol was adhered to throughout the search (13 (link)).
Publication 2023
Anaplastic Ependymoma Diagnosis Eligibility Determination Ependyma Ependymoma Neoplasms Spinal Cord Neoplasms Spinal Neoplasms
Sixty-five patients with tumors located within the frontal lobe (N = 29), temporal lobe (N = 20), parietal lobe (N = 9), occipital lobe (N = 4), and others (N = 3) were included in this study (35 right and 30 left hemisphere lesions). Thirty-one patients underwent radiotherapy. Sixty-five age-matched healthy participants were also included in the study.
To determine the location of the tumor resection cavity, we created an overlay map of the resection cavities by overlaying the resection cavity data for each patient using MRIcron (Fig 1). In patients with right hemisphere lesions, the tumor resection cavities overlapped in the corpus callosum, supplementary motor area, and middle frontal gyrus. Most patients with left hemisphere brain lesions had resection cavities located in the inferior temporal gyrus, middle temporal gyrus, and superior temporal gyrus.
These patients were diagnosed with brain tumors such as oligodendroglioma (n = 11), anaplastic astrocytoma or oligodendroglioma (n = 14), diffuse astrocytoma (n = 9), glioblastoma (n = 18), metastatic brain tumor (n = 3), dysembryoplastic neuroepithelial tumor (n = 1), ependymoma (N = 2), cavernous angioma (n = 1), ganglioglioma (N = 1), glioneuronal tumor (N = 1), hemangioblastoma (N = 1), meningioma (N = 1), pleomorphic xanthoastrocytoma (N = 1), and schwannoma (N = 1).
Patients with a premorbid IQ less than 70 were excluded. The exclusion criteria for healthy participants were as follows: (a) participants with a history of traumatic head injury and surgery, (b) participants with neurological illness, and (c) participants with alcohol or substance abuse. The demographic characteristics of the participants are presented in Table 1. This study was approved by the medical ethics committee at Kanazawa University [No. 2018–140 (2897)], and written informed consent was obtained from all participants after the procedures were fully described to them. This study was conducted following the guidelines of the Internal Review Board of Kanazawa University.
Publication 2023
Angioma, Cavernous Astrocytoma, Anaplastic Brain Metastases Brain Neoplasms Cerebral Hemisphere, Left Corpus Callosum Craniocerebral Trauma Dental Caries Ependymoma Ethanol Ethics Committees Ganglioglioma Glioblastoma Multiforme Grade II Astrocytomas Healthy Volunteers Hemangioblastoma Inferior Temporal Gyrus Lobe, Frontal Medial Frontal Gyrus Meningioma Middle Temporal Gyrus Neoplasms Neoplasms, Neuroepithelial Neoplasms by Site Neurilemmoma Occipital Lobe Oligodendroglioma Operative Surgical Procedures Parietal Lobe Patients Radiotherapy Substance Abuse Superior Temporal Gyrus Supplementary Motor Area Temporal Lobe
The examinations were performed using a 1.5T MRI scanner (Siemens Healthcare, Erlangen, Germany) equipped with a 20-channel head coil. The MRI protocol consisted of T2-weighted (T2wI) turbo spin echo axial sequences (TSE), with 3200/82 (repetition time ms/echo time ms); 210 mm FOV; 24 slices of 4 mm thickness; 1 mm gap, T1-weighted (T1wI) inversion recovery (IR) sagittal sequences were 2100/19 (repetition time ms/echo time ms), 210 mm FOV; 22 slices of 4 mm thickness; 1 mm gap, fluid-attenuated inversion recovery (FLAIR) coronal sequences were 10,000/120 (repetition time ms/echo time ms), IR delay 2800 ms, (210 × 210 mm) FOV, 28 slices of 4 mm thickness, 1 mm gap (Fig. 1).

Axial views of a patient with ependymoma at the time of pre-operation: a T1-weighted sequences b T1-weighted sequences + Gd c T2-weighted sequences d Fluid-attenuated inversion recovery (FLAIR) sequences e Trace, diffusion-weighted imaging (DWI) Apparent diffusion coefficient (ADCmap)

Publication 2023
Diffusion ECHO protocol Ependymoma Head Inversion, Chromosome Patients Physical Examination Sequence Inversion Tandem Mass Spectrometry

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More about "Ependymoma"

Ependymoma is a rare type of brain and spinal cord tumor that originates from the ependymal cells lining the ventricles and central canal.
These tumors can occur in both children and adults, and are classified based on their location, grade, and genetic characteristics.
Ependymomas can cause various neurological symptoms such as headaches, seizures, and difficulties with motor function.
Early diagnosis and appropriate treatment, which may include surgerym, radiation therapy, and chemotherapy, are crucial for improving patient outcomes.
Researchers often utilize techniques like Laminin coatings, Human EGF, Heparin, Envision plate readers, Alamar Blue stain, Neurobasal media, Human FGF-basic, and the Human Genome U133 Plus 2.0 Array or Infinium HumanMethylation450 BeadChip array to study ependymoma.
The Pipeline Pilot platfrom can also be employed to streamline and optimize research protocols.
By harnessing the power of AI-driven insights from PubCompare.ai, scientists can identify the best research protocols from literature, preprints, and patents, leading to improved reproducibility and accuracy in ependymoma studies.
This comprehensive approach helps advance our understanding and treatment of this rare but serious form of glioma.