Literature DB >> 8443399

Prognostic significance of flow cytometric DNA analysis and estrogen receptor content in breast carcinomas--a 10 year survival study.

S B Ewers1, R Attewell, B Baldetorp, A Borg, M Fernö, E Långström, D Killander.   

Abstract

The prospective prognostic significance of flow cytometry derived DNA-ploidy status, the level of the S-phase fraction (SPF), estrogen receptor (ER) content, and combinations of these factors, was evaluated with respect to overall survival (OS) in a series of 516 breast cancer patients who were without signs of residual or distant disease after primary completed treatment. The median duration of survival follow-up time was ten years (range, 95-148 months) for surviving patients. Of the single factors, ER was the only significant predictor among node-negative patients; the ten-year OS rate was 71% in cases with ER-rich tumors vs. 62% for ER-poor tumors (p = 0.03). Where tumors were both non-diploid and ER-poor, the ten-year OS rate was 58%, as compared to 75% for the remaining node-negative patients (p = 0.003), who constituted a low-risk group whose survival was comparable with that in the age-matched normal population. Among patients with 1-3 positive nodes, the ten-year OS rate was 65% in patients whose tumors had an SPF < 7.3% vs. 50% if the SPF was > or = 7.3% (p = 0.01), and 58% in cases with ER-rich tumors vs. 45% where the tumors were ER-poor (p = 0.02). In a multivariate analysis, apart from age and menopausal status the combination of ploidy status and ER content was the significant (p = 0.002) predictor of OS in node-negative patients. Thus, combining ploidy and ER status, both of which are variables easily determined, enabled the selection of a subgroup of patients at high risk of relapse and reduced survival whose prognosis should be improved by effective adjuvant systemic treatment, whereas the remaining low risk N0 patients can not be expected to derive any survival benefit from adjuvant therapy since their predicted survival is already on a par with that of the general population.

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Year:  1992        PMID: 8443399     DOI: 10.1007/bf01961244

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  25 in total

1.  Analysis of PCP-data to determine the fraction of cells in the various phases of cell cycle.

Authors:  H Baisch; W Göhde; W A Linden
Journal:  Radiat Environ Biophys       Date:  1975-06-13       Impact factor: 1.925

Review 2.  Ploidy analysis and S-phase fraction determination by flow cytometry of invasive adenocarcinomas of the breast.

Authors:  H F Frierson
Journal:  Am J Surg Pathol       Date:  1991-04       Impact factor: 6.394

3.  Flow-cytometric DNA analysis in primary breast carcinomas and clinicopathological correlations.

Authors:  S B Ewers; E Långström; B Baldetorp; D Killander
Journal:  Cytometry       Date:  1984-07

4.  Estrogen receptors and long-term prognosis in breast cancer.

Authors:  S Aamdal; O Børmer; O Jørgensen; H Høst; G Eliassen; O Kaalhus; A Pihl
Journal:  Cancer       Date:  1984-06-01       Impact factor: 6.860

5.  Estrogen and progesterone receptor analyses in more than 4,000 human breast cancer samples. A study with special reference to age at diagnosis and stability of analyses. Southern Swedish Breast Cancer Study Group.

Authors:  M Fernö; A Borg; U Johansson; A Norgren; H Olsson; S Rydén; G Sellberg
Journal:  Acta Oncol       Date:  1990       Impact factor: 4.089

6.  Systemic treatment of early breast cancer by hormonal, cytotoxic, or immune therapy. 133 randomised trials involving 31,000 recurrences and 24,000 deaths among 75,000 women. Early Breast Cancer Trialists' Collaborative Group.

Authors: 
Journal:  Lancet       Date:  1992-01-11       Impact factor: 79.321

7.  Relative worth of estrogen or progesterone receptor and pathologic characteristics of differentiation as indicators of prognosis in node negative breast cancer patients: findings from National Surgical Adjuvant Breast and Bowel Project Protocol B-06.

Authors:  B Fisher; C Redmond; E R Fisher; R Caplan
Journal:  J Clin Oncol       Date:  1988-07       Impact factor: 44.544

8.  The relation of flow cytometry to clinical and biologic characteristics in women with node negative primary breast cancer.

Authors:  H B Muss; T E Kute; L D Case; L R Smith; C Booher; R Long; L Kammire; B Gregory; J K Brockschmidt
Journal:  Cancer       Date:  1989-11-01       Impact factor: 6.860

9.  The prognostic significance of nuclear DNA content in invasive breast cancer--a study with long-term follow-up.

Authors:  S Toikkanen; H Joensuu; P Klemi
Journal:  Br J Cancer       Date:  1989-11       Impact factor: 7.640

10.  Tumour DNA ploidy as an independent prognostic factor in breast cancer.

Authors:  O P Kallioniemi; G Blanco; M Alavaikko; T Hietanen; J Mattila; K Lauslahti; T Koivula
Journal:  Br J Cancer       Date:  1987-11       Impact factor: 7.640

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  3 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

2.  High-resolution genomic and expression analyses of copy number alterations in HER2-amplified breast cancer.

Authors:  Johan Staaf; Göran Jönsson; Markus Ringnér; Johan Vallon-Christersson; Dorthe Grabau; Adalgeir Arason; Haukur Gunnarsson; Bjarni A Agnarsson; Per-Olof Malmström; Oskar Th Johannsson; Niklas Loman; Rosa B Barkardottir; Ake Borg
Journal:  Breast Cancer Res       Date:  2010-05-06       Impact factor: 6.466

3.  Genetic evolution of breast cancers. III: Age-dependent variations in the correlations between biological indicators of prognosis.

Authors:  Y Remvikos; H Magdelenat; B Dutrillaux
Journal:  Breast Cancer Res Treat       Date:  1995-04       Impact factor: 4.872

  3 in total

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