Literature DB >> 8262673

Flow cytometric DNA ploidy defines patients with poor prognosis in node-negative breast cancer.

I Balslev1, I J Christensen, B B Rasmussen, J K Larsen, A E Lykkesfeldt, S M Thorpe, C Rose, P Briand, H T Mouridsen.   

Abstract

Flow cytometric DNA analysis was performed on fine-needle aspirates from frozen tumour biopsies from 421 node-negative, non-adjuvantly-treated breast-cancer patients with a median observation time of 6.75 years. Among premenopausal patients (n = 175), those having at least one DNA "hypoploid" subpopulation defined as DNA index (DI) < 0.96 or 1.44 < or = 1.92 (n = 81) were characterized by early recurrences (log-rank p = 0.05), Wilcoxon p = 0.007), poor overall survival (OS) (p < 0.001) and poor survival after recurrence (p < 0.001). In the postmenopausal group (n = 246), there were no significant difference among 7 different DI classes regarding either recurrence-free survival (RFS) or OS. S-phase fraction (SPF), divided into quartiles, predicted OS in premenopausal patients only (p = 0.02). Conventional multivariate Cox analysis of OS in the premenopausal group revealed hypoploidy to be the only independent prognostic factor involving a relative risk (RR) of 22.8. Age < or = 40 years was of marginal significance, whereas SPF, histological grade (WHO), oestrogen and progesterone receptor (PgR) content, tumour size and number of lymph nodes removed were excluded from the model. Application of the conventional Cox model to the premenopausal group regarding RFS was found inappropriate due to lack of proportionality of the hazards of hypoploidy due to lack of proportionately of the hazards of hypoploidy, SPF and histological grade. However, introduction of time-dependent co-variates using 2 years as cut-off level showed hypoploidy with a RR of 3.52 and age < or = 40 years with a RR of 3.28 to be independent prognostic factors. In the postmenopausal group, the conventional Cox model identified the number of lymph nodes removed to be the only independent prognostic factor regarding RFS as well as OS, whereas SPF < 9% (lowest quartile) was of marginal significance in RFS analysis. Hypoploidy was correlated to high SPF, low PgR content and low differentiation, indicating that hypoploid tumours proliferate rapidly and hormone-independently. These patients may therefore benefit from adjuvant chemotherapy administered while tumour burden and risk of drug resistance are still low.

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Year:  1994        PMID: 8262673     DOI: 10.1002/ijc.2910560105

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  6 in total

Review 1.  Prognostic factors in node-negative breast cancer: a review of studies with sample size more than 200 and follow-up more than 5 years.

Authors:  Attiqa N Mirza; Nadeem Q Mirza; Georges Vlastos; S Eva Singletary
Journal:  Ann Surg       Date:  2002-01       Impact factor: 12.969

Review 2.  Prognosis and prediction of response in breast cancer: the current role of the main biological markers.

Authors:  A Ravaioli; L Bagli; A Zucchini; F Monti
Journal:  Cell Prolif       Date:  1998 Jun-Aug       Impact factor: 6.831

3.  Analysis of DNA and morphometry in breast carcinoma.

Authors:  M Aubele; G Auer; H Höfler
Journal:  Histochem Cell Biol       Date:  1996-08       Impact factor: 4.304

4.  Improved prognostication in small (pT1) breast cancers by image cytometry.

Authors:  M Aubele; G Auer; U Falkmer; A Voss; K Rodenacker; L E Rutquist; H Höfler
Journal:  Breast Cancer Res Treat       Date:  1995       Impact factor: 4.872

5.  DNA aneuploidy in early breast cancer.

Authors:  G L Ottesen; I J Christensen; J K Larsen; G B Kerndrup; B Hansen; J A Andersen
Journal:  Br J Cancer       Date:  1995-10       Impact factor: 7.640

6.  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
  6 in total

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