Literature DB >> 11153143

Relationship of DNA ploidy to hormone receptor status and proliferation in invasive breast carcinoma.

A Spiethoff1, A Schenck, M Bohrer.   

Abstract

PURPOSE: In 247 primary invasive breast carcinomas, DNA ploidy was related to hormone receptor status, proliferation, and clinical/histopathologic factors.
METHODS: DNA ploidy analysis was performed by image analysis using imprints. Estrogen (ER) and progesterone (PR) receptor status was determined immunohistochemically. The proliferative activity of the tumours was assessed by Ki-67 antigen labelling. Total observation time was 3.5 years.
RESULTS: DNA ploidy analysis revealed a high fraction of tumours with non-peridiploid patterns (78%). Significant correlations between DNA ploidy and ER/PR receptor status (P < 0.01) were found with increased frequencies of peridiploid DNA results in receptor positive tumours. A significant relationship became manifest between DNA ploidy and Ki-67 index showing high frequencies of non-peridiploid DNA patterns in tumours with Ki-67 index > 20% (P < 0.01). There was a strong correlation (P < 0.001) between DNA ploidy and histopathologic grading, while tumour size and lymph node status were not correlated to DNA ploidy.
CONCLUSIONS: The results of our study on invasive breast carcinoma demonstrate that DNA ploidy measured by image analysis is predominantly associated with markers of cell differentiation. Preliminary outcome data reveal a risk-indicating potential of DNA ploidy primarily in cases with favourable results for other prognostic factors.

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Year:  2000        PMID: 11153143     DOI: 10.1007/s004320000166

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.553


  2 in total

1.  Characterizing the clustered microcalcifications on mammograms to predict the pathological classification and grading: a mathematical modeling approach.

Authors:  Yuan-Zhi Shao; Li-Zhi Liu; Meng-Jie Bie; Chan-chan Li; Yao-pan Wu; Xiao-ming Xie; Li Li
Journal:  J Digit Imaging       Date:  2011-10       Impact factor: 4.056

2.  Multiparameter DNA content analysis identifies distinct groups in primary breast cancer.

Authors:  J H S Dayal; M J Sales; W E Corver; C A Purdie; L B Jordan; P R Quinlan; L Baker; N T ter Haar; N R Pratt; A M Thompson
Journal:  Br J Cancer       Date:  2013-02-14       Impact factor: 7.640

  2 in total

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