2004
DOI: 10.1186/1476-4598-3-27
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Abstract: Background: Epithelial 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.

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Cited by 40 publications
(11 citation statements)
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“…The finding of similar gene expression profiles in LMP and invasive tumors was unexpected as it is widely accepted that these tumors arise via distinct pathways [20,21]. Our results are in agreement, however, with previous findings in serous ovarian tumors [22,23] but contrast with other studies [21,24-26].…”
Section: Discussionsupporting
confidence: 89%
See 1 more Smart Citation
“…The finding of similar gene expression profiles in LMP and invasive tumors was unexpected as it is widely accepted that these tumors arise via distinct pathways [20,21]. Our results are in agreement, however, with previous findings in serous ovarian tumors [22,23] but contrast with other studies [21,24-26].…”
Section: Discussionsupporting
confidence: 89%
“…Our results are in agreement, however, with previous findings in serous ovarian tumors [22,23] but contrast with other studies [21,24-26]. In support of the current findings of similar gene expression profiles in LMP and invasive tumors, minimal differences in gene expression profiles have been reported previously in studies that compared well-differentiated with poorly-differentiated serous invasive tumors [6,26].…”
Section: Discussionsupporting
confidence: 88%
“…Global approaches have also been applied for ovarian cancer prognosis evaluation, in particular using a cDNA microarray [9][10][11][12], and for tumour classification using 2-DE [13][14][15].…”
Section: Introductionmentioning
confidence: 99%
“…Unlike traditional PCR, this method employs fluorescent dyes to allow an instrument to detect RNA levels during the PCR process. This allows scientists to measure expression levels in the diseased state to diagnose patient samples with precision in relatively short periods of time [26-28]. …”
Section: Emerging Technology For Precise Diagnosis Of Ovarian Cancermentioning
confidence: 99%