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

Gene expression meta-analysis identifies chromosomal regions involved in ovarian cancer survival.

Genes, chromosomes & cancer - 1 Aug 2009

Thomassen Mads, Jochumsen Kirsten M, Mogensen Ole, Tan Qihua, Kruse Torben A

Abstract excerpt

Ovarian cancer cells exhibit complex karyotypic alterations causing deregulation of numerous genes. Some of these genes are probably causal for cancer formation and local growth, whereas others are causal for metastasis and recurrence. By using publicly available data sets, we have investigated the relation of gene expression and chromosomal position to identify chromosomal regions of importance for early...

Read the complete abstract on PubMed

Topics

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

Share to Chi-Square Distribution
Share to Chromosomes, Human

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Disease-Free Survival

Share to Intercellular Signaling Peptides and Proteins

Share to Kaplan-Meier Estimate

Share to Karyotyping

Share to Neoplasm Recurrence, Local

Share to Ovarian Neoplasms

Source

Identifiers

PMID: 19441089
DOI: 10.1002/gcc.20676

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Gene expression meta-analysis identifies chromosomal regions involved in ovarian cancer survival.PMID 19441089Read ↗

Meta‐analysis of gene expression profiles associated with histological classification and survival in 829 ovarian cancer samplesSemantic proximity Read ↗

Association of survival and disease progression with chromosomal instability: a genomic exploration of colorectal cancer.Semantic proximity Read ↗

A signature of chromosomal instability inferred from gene expression profiles predicts clinical outcome in multiple human cancersSemantic proximity Read ↗

In silico chromosomal clustering of genes displaying altered expression patterns in ovarian cancerSemantic proximity Read ↗

RNA-Seq based genome-wide analysis reveals loss of inter-chromosomal regulation in breast cancer.Semantic proximity Read ↗

Genomic analysis of epithelial ovarian cancerSemantic proximity Read ↗

Quantitative analysis of chromosomal CGH in human breast tumors associates copy number abnormalities with p53 status and patient survival.Semantic proximity Read ↗

Molecular characterization of ovarian cancer by gene-expression profilingSemantic proximity Read ↗

Identification of eight candidate target genes of the recurrent 3p12–p14 loss in cervical cancer by integrative genomic profilingSemantic proximity Read ↗

A model-based scan statistic for identifying extreme chromosomal regions of gene expression in human tumors.Semantic proximity Read ↗

Gene set enrichment analysis using linear models and diagnostics.Semantic proximity Read ↗

High-Resolution Mapping of Genomic Imbalance and Identification of Gene Expression Profiles Associated with Differential Chemotherapy Response in Serous Epithelial Ovarian CancerSemantic proximity Read ↗

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