Literature DB >> 2153277

Prognostic significance of morphological parameters and flow cytometric DNA analysis in carcinoma of the breast.

D W Visscher, R J Zarbo, K A Greenawald, J D Crissman.   

Abstract

The prognostic significance of conventional TNM staging remains the standard for determining prognosis in breast carcinoma. The presence (or absence) of axillary lymph node metastases remains the single most important parameter for predicting patient outcome. The presence of regional lymph node metastases implies that the primary tumor has the capacity for successfully completing the steps of the metastatic cascade. However, the absence of regional lymph node metastases does not ensure that distant or systemic seeding of tumor cells has not occurred, only that it is less likely. Staging data appear to be refined by addition of several standard morphological parameters. Although there is considerable overlap and interaction between these factors, as well as with staging data, there is strong evidence that grade, necrosis, inflammatory cell "immune response," and possibly pattern of invasion and intravascular tumor each independently supplement staging information. Some data appear to have independent significance only when applied to specific patient subsets, raising serious question as to their biologic importance. Nevertheless, morphological data are subjective and susceptible to observer variation and have less statistical power in predicting patient outcome than staging data. It was initially thought that DNA analysis of breast cancer by flow cytometry might supplant morphological data in assessing tumor behavior. The following conclusions can now be drawn: (1) there is no clear association between aneuploidy and SPF and stage; (2) aneuploid tumors are associated with higher SPF and shorter disease-free survival while diploid-range tumors generally have lower SPF and longer disease-free survival; (3) aneuploid DNA content is significantly associated with markers of decreased morphological (grade) and biochemical (ER status) differentiation. Determination of S-phase fraction by FCM appears to be a rapid and potentially easy method for obtaining kinetic information on individual breast tumors, although the technology for improving the accuracy of SPF measurements is still under development (e.g., tumor cell gating, debris subtraction). SPF appears to be comparable to other kinetic measurements, such as TLI, and shows many of the same associations with morphological and clinical data as ploidy. This is due to the close association of ploidy and SPF. Which of these parameters is more important for predicting patient outcome has not been clearly defined. Additional technological refinements for determining SPF may result in a more prominent prognostic role for this measurement. Three problems have limited our ability to draw specific conclusions about the biologic significance of tumor ploidy and SPF.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1990        PMID: 2153277

Source DB:  PubMed          Journal:  Pathol Annu        ISSN: 0079-0184


  11 in total

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Authors:  D N Poller; M Galea; D Pearson; J Bell; W J Gullick; C W Elston; R W Blamey; I O Ellis
Journal:  Breast Cancer Res Treat       Date:  1991-12       Impact factor: 4.872

2.  N-myc downstream-regulated gene 1 (NDRG1) a differentiation marker of human breast cancer.

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3.  Comparison of PCNA/cyclin immunohistochemistry with flow cytometric S-phase fraction in breast cancer.

Authors:  D W Visscher; S Wykes; J Kubus; J D Crissman
Journal:  Breast Cancer Res Treat       Date:  1992       Impact factor: 4.872

4.  The relationship between flow-cytometric and immunohistochemically detected c-erbB-2 expression, grade and DNA ploidy in breast cancer.

Authors:  I Brotherick; B K Shenton; W K Cowan; B Angus; C H Horne; M J Higgs; T W Lennard
Journal:  Cancer Immunol Immunother       Date:  1995-09       Impact factor: 6.968

5.  DNA ploidy and S-phase fraction in medullary carcinoma of the breast--a flow cytometric analysis using archival material.

Authors:  L Pedersen; J K Larsen; I J Christensen; A Lykkesfeldt; S Holck; T Schiødt
Journal:  Breast Cancer Res Treat       Date:  1994       Impact factor: 4.872

6.  Nonhomologous recombination in human cells.

Authors:  M K Derbyshire; L H Epstein; C S Young; P L Munz; R Fishel
Journal:  Mol Cell Biol       Date:  1994-01       Impact factor: 4.272

7.  A flow cytometric study of c-erbB-3 expression in breast cancer.

Authors:  I Brotherick; B K Shenton; B Angus; I S Waite; C H Horne; T W Lennard
Journal:  Cancer Immunol Immunother       Date:  1995-11       Impact factor: 6.968

8.  High fibroblast growth factor 19 (FGF19) expression predicts worse prognosis in invasive ductal carcinoma of breast.

Authors:  Abdelbaset Buhmeida; Ashraf Dallol; Adnan Merdad; Jaudah Al-Maghrabi; Mamdooh A Gari; Muhammad M Abu-Elmagd; Adeel G Chaudhary; Adel M Abuzenadah; Taoufik Nedjadi; Eramah Ermiah; Fatima Al-Thubaity; Mohammed H Al-Qahtani
Journal:  Tumour Biol       Date:  2013-11-19

9.  Prognostic value of proliferation markers: immunohistochemical ki-67 expression and cytometric s-phase fraction of women with breast cancer in libya.

Authors:  Eramah Ermiah; Abdelbaset Buhmeida; Fathi Abdalla; Ben Romdhane Khaled; Nada Salem; Seppo Pyrhönen; Yrjö Collan
Journal:  J Cancer       Date:  2012-10-01       Impact factor: 4.207

10.  Decreased expression of C10orf10 and its prognostic significance in human breast cancer.

Authors:  Junjiang Deng; Yan Dong; Chong Li; Wenwei Zuo; Gang Meng; Chengping Xu; Jianjun Li
Journal:  PLoS One       Date:  2014-06-17       Impact factor: 3.240

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