2014
DOI: 10.1371/journal.pone.0090642
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Prognostic Value of Gene Signatures and Proliferation in Lymph-Node-Negative Breast Cancer

Abstract: IntroductionThe overall survival rate is good for lymph-node-negative breast cancer patients, but they still suffer from serious over- and some undertreatments. Prognostic and predictive gene signatures for node-negative breast cancer have a high number of genes related to proliferation. The prognostic value of gene sets from commercial gene-expression assays were compared with proliferation markers.MethodsIllumina WG6 mRNA microarray analysis was used to examine 94 fresh-frozen tumour samples from node-negati… Show more

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Cited by 21 publications
(28 citation statements)
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“…Such imperfect comparisons, however, are still valuable. Many other publications, including some recently published ones (25,26), also use microarray values to compare breast cancer prognostic signatures.…”
Section: Discussionmentioning
confidence: 99%
“…Such imperfect comparisons, however, are still valuable. Many other publications, including some recently published ones (25,26), also use microarray values to compare breast cancer prognostic signatures.…”
Section: Discussionmentioning
confidence: 99%
“…Thus, the application of molecular testing such as Oncotype DX to predict who will most benefit from chemotherapy has become increasingly popular. However, there is increasing evidence that histologic evaluation of proliferation markers may provide similar prognostic and predictive information 9,10. We found that PhH3 has a strong correlation with Oncotype DX RS score, according to Dancey and Reidy’s23 categorization of correlation strength.…”
Section: Discussionmentioning
confidence: 68%
“…However, this may be the result of methodology because the IHC markers were assessed on TMAs taken from representative tumor areas rather than highest proliferation areas, whereas mitotic count was performed on whole slides in the region of highest proliferation. More recently, their group compared the prognostic ability of mitosis, PhH3, and Ki-67 as well as the gene profiles used in Oncotype DX and MammaPrint (Agendia Inc., Amsterdam) 10. PhH3 was again the strongest independent prognostic factor.…”
Section: Discussionmentioning
confidence: 99%
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