Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Genomic estimates of aneuploid content in glioblastoma multiforme and improved classification.

Clinical cancer research : an official journal of the American Association for Cancer Research - 15 Oct 2012

Li Bo, Senbabaoglu Yasin, Peng Weiping, Yang Min-Lee, Xu Jishu, Li Jun Z

Abstract excerpt

PURPOSE: Accurate classification of glioblastoma multiforme (GBM) is crucial for understanding its biologic diversity and informing diagnosis and treatment. The Cancer Genome Atlas (TCGA) project identified four GBM classes using gene expression data and separately identified three classes using...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aneuploidy
Share to Brain Neoplasms
Share to CpG Islands

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to DNA Methylation

Share to Gene Dosage

Share to Gene Expression Regulation, Neoplastic

Share to Genome, Human

Share to Glioblastoma

Source

Open in PubMed Open full text

Identifiers

PMID: 22912392
DOI: 10.1158/1078-0432.CCR-12-1427
PMCID: PMC3477792

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-22912392-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genomic estimates of aneuploid content in glioblastoma multiforme and improved classification.PMID 22912392Read ↗

DNA Methylation-Based Deconvolution Study of Glioblastoma Heterogeneity and Cell Types Associated with Patient SurvivalSemantic proximity Read ↗

Methylation subgroup and molecular heterogeneity is a hallmark of glioblastoma: implications for biopsy targeting, classification and therapySemantic proximity Read ↗

DNA Methylation-Based Deconvolution Sheds Light on Glioblastoma Heterogeneity and Cell-Type Composition Associated with Patient SurvivalSemantic proximity Read ↗

Heterogeneity of DNA methylation profiles and copy number alterations in 10782 adult-type glioblastomas, IDH-wildtypeSemantic proximity Read ↗

Prognostic value of DNA methylation subclassification, aneuploidy, and CDKN2A/B homozygous deletion in predicting clinical outcome of IDH mutant astrocytomas.Semantic proximity Read ↗

Molecular subtypes of glioblastoma are relevant to lower grade glioma.Semantic proximity Read ↗

Glioblastomas are composed of genetically divergent clones with distinct tumourigenic potential and variable stem cell-associated phenotypes.Semantic proximity Read ↗

DNA-methylome-assisted classification of patients with poor prognostic subventricular zone associated IDH-wildtype glioblastomaSemantic proximity Read ↗

Glioblastomas with Oligodendroglial Component – Common Origin of the Different Histological Parts and Genetic SubclassificationSemantic proximity Read ↗

DNA copy number analysis of Grade II–III and Grade IV gliomas reveals differences in molecular ontogeny including chromothripsis associated with IDH mutation statusSemantic proximity Read ↗

Intratumor DNA methylation heterogeneity in glioblastoma: implications for DNA methylation-based classificationSemantic proximity Read ↗

Distribution of copy number alterations and impact of chromosome arm call thresholds for meningiomaSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.