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.
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Ependymoma
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.
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»
Cells
Ependymoma
Ethics Committees, Research
Fishes
Glioblastoma
Homo sapiens
Medulloblastoma
MicroRNAs
Mus
Neoplasms
Real-Time Polymerase Chain Reaction
RNA, Messenger
Cells
Ependymoma
Ethics Committees, Research
Fishes
Glioblastoma
Homo sapiens
Medulloblastoma
MicroRNAs
Mus
Neoplasms
Real-Time Polymerase Chain Reaction
RNA, Messenger
Brain
Crossbreeding
DNA Library
Ependymoma
Exons
Gene Chips
Genes
Genome, Human
Homo sapiens
Microarray Analysis
Neoplasms
Oligonucleotides
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
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.
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.
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)).
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 (
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 inTable 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.
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 (
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
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 ).
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Axial views of a patient with ependymoma at the time of pre-operation:
Diffusion
ECHO protocol
Ependymoma
Head
Inversion, Chromosome
Patients
Physical Examination
Sequence Inversion
Tandem Mass Spectrometry
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Human FGF-basic is a recombinant protein that functions as a basic fibroblast growth factor. It is a signaling molecule that promotes cell proliferation and differentiation in various cell types.
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The Human Genome U133 Plus 2.0 Array is a high-density oligonucleotide microarray designed to analyze the expression of over 47,000 transcripts and variants from the human genome. It provides comprehensive coverage of the human transcriptome and is suitable for a wide range of gene expression studies.
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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.
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.