Literature DB >> 16943686

DNA flow cytometry but not telomerase activity as predictor of disease-free survival in pT1-2/N0/G2 breast cancer.

António E Pinto1, Saudade André, Teresa Pereira, Giovani Silva, Jorge Soares.   

Abstract

OBJECTIVE: In the subgroup of patients with node-negative (N0) moderately differentiated (G2) breast cancer, the clinical decision of giving adjuvant therapy is critical. The aim of this study was to investigate the prognostic value of biomarkers (DNA flow cytometry and telomerase activity in correlation with routinely used estrogen receptors (ER) and HER oncoprotein) in pT1-2/N0/G2 breast cancer, for improving therapeutic management.
METHODS: The series involved 135 patients with pT1-2/N0/G2 breast cancer and median follow-up of 58.5 months. DNA ploidy and S-phase fraction (SPF) (<or=5%; 5-10%; >10%) were assessed on frozen samples. Telomerase activity, ER and c-erbB-2 expression were analyzed by standardized immunohistochemistry techniques. A Cox regression analysis was performed for prognostic evaluation.
RESULTS: Aneuploidy significantly correlated with high SPF and lack of ER, while high SPF showed significant correlations with high telomerase activity, c-erbB-2 overexpression and absence of ER. Kaplan-Meier curves showed significant differences for ploidy and SPF in relation with disease-free survival (DFS) and overall survival (OS), and a statistical trend for ER. By Cox regression analysis, DNA aneuploidy (RR = 16.7; p = 0.007) and high SPF (RR = 23.1; p = 0.004) revealed significant correlations with worse DFS. Among patients with diploid (n = 76) and low/intermediate SPF (n = 85) tumors, only one had recurrence of the disease. No association between telomerase activity and clinical outcome was observed.
CONCLUSION: In pT1-2/N0/G2 breast cancer patients, DNA ploidy and SPF are relevant prognostic biomarkers that should be considered as additional tools in the therapeutic planning. Copyright 2006 S. Karger AG, Basel.

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Year:  2006        PMID: 16943686     DOI: 10.1159/000094490

Source DB:  PubMed          Journal:  Pathobiology        ISSN: 1015-2008            Impact factor:   4.342


  3 in total

1.  A non-genetic route to aneuploidy in human cancers.

Authors:  Matej Krajcovic; Nicole B Johnson; Qiang Sun; Guillaume Normand; Nicholas Hoover; Evelyn Yao; Andrea L Richardson; Randall W King; Edmund S Cibas; Stuart J Schnitt; Joan S Brugge; Michael Overholtzer
Journal:  Nat Cell Biol       Date:  2011-02-20       Impact factor: 28.824

Review 2.  Revisiting tumour aneuploidy - the place of ploidy assessment in the molecular era.

Authors:  Håvard E Danielsen; Manohar Pradhan; Marco Novelli
Journal:  Nat Rev Clin Oncol       Date:  2015-11-24       Impact factor: 66.675

3.  DNA aneuploidy and breast cancer: a meta-analysis of 141,163 cases.

Authors:  Jing Xu; Lei Huang; Jun Li
Journal:  Oncotarget       Date:  2016-09-13
  3 in total

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