Literature DB >> 2346915

Prognostic significance of flow cytometric DNA analysis in node-negative breast cancer patients.

W E Lewis1.   

Abstract

Flow cytometric DNA analysis using paraffin-embedded tumor blocks was done retrospectively on 155 node-negative breast cancers. The median duration of follow-up in patients still alive at the time of analysis was 10 years. Tumor aneuploidy was correlated significantly with increased tumor size (P = 0.003) and higher tumor grade (P less than 0.001). No significant correlation between tumor ploidy and patient age was found. Patients with diploid tumors had a significantly improved relapse-free and overall survival compared with patients with aneuploid tumors (P = 0.0001). In a Cox multivariate model with parameters including ploidy, histologic grade, tumor size, and patient age, ploidy (P = 0.02) and tumor size (P = 0.05) emerged as significant independent predictors of overall survival. Only ploidy was independently significant in the analysis of relapse-free survival. In conclusion, the current study indicates that flow cytometric measurement of DNA ploidy is a powerful prognostic indicator in node-negative breast cancer patients.

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Year:  1990        PMID: 2346915     DOI: 10.1002/1097-0142(19900515)65:10<2315::aid-cncr2820651025>3.0.co;2-3

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  13 in total

1.  Significance of Flow Cytometric DNA Analysis from Freshly Aspirated Samples.

Authors: 
Journal:  Breast Cancer       Date:  1995-10-31       Impact factor: 4.239

2.  Prognostic significance of cell cycle parameters in infiltrative ductal breast carcinoma.

Authors:  B Uzarević; M Petrovecki; M Marusić; J Jakić-Razumović; Z Hutinec; A Sabioncello; S Gamulin
Journal:  J Clin Lab Anal       Date:  1998       Impact factor: 2.352

3.  Lymph node metastases versus DNA ploidy as prognostic factors for invasive ductal carcinoma of the breast.

Authors:  M Noguchi; T Taniya; N Ohta; N Koyasaki; I Miyazaki; Y Mizukami
Journal:  Breast Cancer Res Treat       Date:  1991-09       Impact factor: 4.872

4.  Short-term significance of DNA ploidy and cell proliferation in breast carcinoma: a multivariate analysis of prognostic markers in a series of 308 patients.

Authors:  A E Pinto; S André; J Soares
Journal:  J Clin Pathol       Date:  1999-08       Impact factor: 3.411

5.  Her-2/neu expression as a predictive factor for response to anthracycline-based chemotherapy in a mexican population of locally advanced breast cancer patients.

Authors:  David Muñoz-Gonzalez; Isabel Zeichner-Gancz; Myrna Candelaria; Maria Teresa Ramirez-Ugalde; Manuel Perez-Sanchez; Guadalupe Cervantes-Vazquez; David Cantu-de Leon; Arcelia Mora-Tizcareño; Julio Leonor-Ortíz
Journal:  Med Oncol       Date:  2005       Impact factor: 3.064

6.  Improved detection of DNA aneuploidy in primary breast cancer using quantitative DNA image analysis in combination with fluorescent in situ hybridization technique.

Authors:  B Verdoodt; P Castelain; C Bourgain; M Kirsch-Volders
Journal:  Histochem J       Date:  1995-01

7.  The relationship between lymph node metastases and DNA-ploidy status as prognostic factors in invasive breast cancer.

Authors:  M Noguchi; N Ohta; N Koyasaki; T Taniya; I Miyazaki; Y Mizukami
Journal:  Surg Today       Date:  1992       Impact factor: 2.549

8.  DNA ploidy, S-phase, and steroid receptors in more than 127,000 breast cancer patients.

Authors:  C R Wenger; S Beardslee; M A Owens; G Pounds; T Oldaker; P Vendely; M R Pandian; D Harrington; G M Clark; W L McGuire
Journal:  Breast Cancer Res Treat       Date:  1993-10       Impact factor: 4.872

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

Authors:  S B Ewers; R Attewell; B Baldetorp; A Borg; M Fernö; E Långström; D Killander
Journal:  Breast Cancer Res Treat       Date:  1992       Impact factor: 4.872

10.  S-phase determination of immunoselected cytokeratin-containing breast cancer cells improves the prediction of recurrence.

Authors:  S Wingren; O Stål; J Carstensen; X F Sun; B Nordenskjöld
Journal:  Breast Cancer Res Treat       Date:  1994-02       Impact factor: 4.872

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