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

GSVD Comparison of Patient-Matched Normal and Tumor aCGH Profiles Reveals Global Copy-Number Alterations Predicting Glioblastoma Multiforme Survival

23 Jan 2012

Abstract excerpt

Despite recent large-scale profiling efforts, the best prognostic predictor of glioblastoma multiforme (GBM) remains the patient's age at diagnosis. We describe a global pattern of tumor-exclusive co-occurring copy-number alterations (CNAs) that is correlated, possibly coordinated with GBM patients' survival and response to chemotherapy. The pattern is revealed by GSVD comparison of patient-matched but...

Read the complete abstract on PubMed

Topics

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

Share to Cancer Genomics and Diagnostics
Share to Genomic variations and chromosomal abnormalities
Share to Glioma Diagnosis and Treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 22291905
DOI: 10.1371/journal.pone.0030098

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

GSVD Comparison of Patient-Matched Normal and Tumor aCGH Profiles Reveals Global Copy-Number Alterations Predicting Glioblastoma Multiforme SurvivalPMID 22291905Read ↗

Platform-Independent Genome-Wide Pattern of DNA Copy-Number Alterations Predicting Astrocytoma Survival and Response to Treatment Revealed by the GSVD Formulated as a Comparative Spectral Decomposition.Semantic proximity Read ↗

Copy number profiling across glioblastoma populations has implications for clinical trial designSemantic proximity Read ↗

Systematic identification of mutations and copy number alterations associated with cancer patient prognosis.Semantic proximity Read ↗

Distribution differences in prognostic copy number alteration profiles in IDH-wild-type glioblastoma cause survival discrepancies across cohortsSemantic proximity Read ↗

Tensor GSVD of patient- and platform-matched tumor and normal DNA copy-number profiles uncovers chromosome arm-wide patterns of tumor-exclusive platform-consistent alterations encoding for cell transformation and predicting ovarian cancer survival.Semantic proximity Read ↗

Consensus Copy-Number Alteration Signatures from Clinical Panels Enable Pan-Cancer Risk Stratification and Therapy Response Association.Semantic proximity Read ↗

Copy Number Alteration Signatures As Biomarkers in Cancer: A ReviewSemantic proximity Read ↗

Pan-cancer copy number variant analysis identifies optimized size thresholds and co-occurrence models for individualized risk-stratificationSemantic proximity Read ↗

Exploratory Analysis of the Copy Number Alterations in Glioblastoma MultiformeSemantic proximity Read ↗

Copy-number alterations reshape the classification of diffuse intrinsic pontine gliomas. First exome sequencing results of the BIOMEDE trialSemantic proximity Read ↗

Optimizing cancer immunotherapy response prediction by tumor aneuploidy score and fraction of copy number alterationsSemantic proximity Read ↗

Pan-cancer copy number analysis identifies optimized size thresholds and co-occurrence models for individualized risk stratificationSemantic proximity Read ↗

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