Literature DB >> 8443764

Flow cytometric (DNA content and S-phase fraction) analysis of breast cancer.

J G Batsakis1, N Sneige, A K el-Naggar.   

Abstract

The advent of therapeutic alternatives for patients with breast cancer has altered their clinical management profoundly. Because of this, the need for reliable prognostic indicators with definable clinical utility has spawned a number of objective evaluations of the neoplasm itself. Flow cytometric analysis of DNA and the cell cycle (S-phase fraction) are two of the objective measurements. Their current status in breast cancer is unclear. In the important category of carcinomas with negative axillary lymph nodes, DNA content (ploidy) information does not add important, independent, or prognostic information. S-phase fraction, in addition to correlating with DNA content and histologic grade, may be an independent factor, but methodologic variables have hampered definite conclusions about its utility. Currently, given the rather consistent absence of correlation between DNA ploidy, S-phase fractions, and nodal metastases, the independent prognostic utility of the two flow cytometric parameters can be questioned. A resolution of their final status in the prognostic hierarchy depends on rigorous adherence to the variables affecting them, i.e., preanalytic, analytic, and postanalytic factors.

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Year:  1993        PMID: 8443764     DOI: 10.1002/1097-0142(19930315)71:6+<2151::aid-cncr2820711604>3.0.co;2-b

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


  7 in total

1.  Flow cytometric DNA hypertetraploidy is associated with unfavourable prognostic features in breast cancer.

Authors:  A E Pinto; S André; M Nogueira; E Mendonça; J Soares
Journal:  J Clin Pathol       Date:  1997-07       Impact factor: 3.411

2.  FISH detection of HER-2/neu oncogene amplification in early onset breast cancer.

Authors:  W R Xing; K W Gilchrist; C P Harris; W Samson; L F Meisner
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

3.  Prognostic relevance of DNA flow cytometry in breast cancer revisited: The 25-year experience of the Portuguese Institute of Oncology of Lisbon.

Authors:  António E Pinto; Teresa Pereira; Giovani L Silva; Saudade André
Journal:  Oncol Lett       Date:  2017-02-13       Impact factor: 2.967

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.  Cyclins as markers of tumor proliferation: immunocytochemical studies in breast cancer.

Authors:  A Dutta; R Chandra; L M Leiter; S Lester
Journal:  Proc Natl Acad Sci U S A       Date:  1995-06-06       Impact factor: 11.205

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

7.  Comparative DNA analysis by image cytometry and flow cytometry in non-small cell lung cancer.

Authors:  T Yamamoto; H Horiguchi; H Kamma; M Noro; T Ogata; Y Inage; E Akaogi; K Mitsui; M Hori; M Isobe
Journal:  Jpn J Cancer Res       Date:  1994-11
  7 in total

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