Evidence map›Paper›PMID 15471544›Full record

ArticleMolecular cancer2004

Gene expression profiling of epithelial ovarian tumours correlated with malignant potential.

Susanne Warrenfeltz, Stephen Pavlik, Susmita Datta, Eileen T Kraemer, Benedict Benigno, John F McDonald

Abstract read
In one paragraph

Article in Molecular cancer, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Precision targeted therapy of ovarian cancer.Journal of controlled release : official journal of the Controlled Release Society · 2016
    Review
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Susanne WarrenfeltzGenetics Department, University of Georgia, Athens Georgia 30602, USA. sww@uga.edu
Stephen Pavlik
Susmita Datta
Eileen T Kraemer
Benedict Benigno
John F McDonald

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpithelial ovarian tumours exhibit a range of malignant potential, presenting distinct clinical phenotypes. Improved knowledge of gene expression changes and functional pathways associated with these clinical phenotypes may lead to new treatment targets, markers for early detection and a better understanding of disease progression.

resultsGene expression profiling (Affymetrix, U95Av2) was carried out on 18 ovarian tumours including benign adenomas, borderline adenocarcinomas of low malignant potential and malignant adenocarcinomas. Clustering the expression profiles of samples from patients not treated with chemotherapy prior to surgery effectively classified 92% of samples into their proper histopathological group. Some cancer samples from patients treated with chemotherapy prior to surgery clustered with the benign adenomas. Chemotherapy patients whose tumours exhibited benign-like expression patterns remained disease free for the duration of this study as indicated by continued normal serum CA-125 levels. Statistical analysis identified 163 differentially expressed genes: 61 genes under-expressed in cancer and 102 genes over-expressed in cancer. Profiling the functional categories of co-ordinately expressed genes within this list revealed significant correlation between increased malignant potential and loss of both IGF binding proteins and cell adhesion molecules. Interestingly, in several instances co-ordinately expressed genes sharing biological function also shared chromosomal location.

conclusionOur findings indicate that gene expression profiling can reliably distinguish between benign and malignant ovarian tumours. Expression profiles of samples from patients pre-treated with chemotherapy may be useful in predicting disease free survival and the likelihood of recurrence. Loss of expression of IGF binding proteins as well as specific cell adhesion molecules may be a significant mechanism of disease progression in ovarian cancer. Expression levels in borderline tumours were intermediate between benign adenomas and malignant adenocarcinomas for a significant portion of the differentially expressed genes, suggesting that borderline tumours are a transitional state between benign and malignant tumours. Finally, genes displaying coordinated changes in gene expression were often genetically linked, suggesting that changes in expression for these genes are the consequence of regional duplications, deletions or epigenetic events.

Indexed as

Cluster AnalysisEpithelial CellsFemaleGene Expression ProfilingHumansMultigene FamilyNeoplasm Recurrence, LocalOligonucleotide Array Sequence AnalysisOvarian NeoplasmsReverse Transcriptase Polymerase Chain Reaction

Identifiers

PMID15471544
PMCPMC524500

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.