Nuclear comparative morphometric study between DCIS and normal resting mammary gland tissue.

Ductal carcinoma in situ (DCIS) is the malignant epithelial cell proliferation that affect only ducts, including lobular, without basement membrane interruption. Benign or malignant cell phenotype is defined by nuclear appearance. Morphometric analysis could provide quantitative information about nuclear profile in several lesions. In this study, we assess nuclear morphometric features of mammary epithelial cells in DCIS compared to normal resting mammary gland tissue. For morphological evaluation, we included two groups of mammary gland tissue. The first group comprised breast tissue from 20 women surgically treated and histopathologically confirmed with DCIS. The second control group was represented by normal resting mammary tissue obtained from another 20 women surgically treated for fibroadenoma. Evaluated morphometric parameters were: nuclear area (NA), nuclear perimeter (P), maximum diameter (Dmax), minimum diameter (Dmin), elongation factor (E). Morphometric assessment of DCIS nuclei showed significant higher values than normal resting breast tissue. Morphometric analysis gave information about tumor aggressiveness, invasion tendency and disease prognostic.

[1]  Y. Soini,et al.  72 KD and 92 KD type IV collagenase, type IV collagen, and laminin mRNAs in breast cancer: a study by in situ hybridization. , 1994, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.

[2]  H Bartels,et al.  Quantitative Study of Breast Cancer Progression: Different Pathways for Various In Situ Cancers , 2002, Modern Pathology.

[3]  L. True,et al.  Morphometric applications in anatomic pathology. , 1996, Human pathology.

[4]  Seema A. Khan,et al.  Morphological Changes in Breast Tissue with Menstrual Cycle , 2002, Modern Pathology.

[5]  D. Ferguson An ultrastructural study of mitosis and cytokinesis in normal ‘resting’ human breast , 1988, Cell and Tissue Research.

[6]  Elad Katz,et al.  The extracellular matrix as an adhesion checkpoint for mammary epithelial function , 2007, The international journal of biochemistry & cell biology.

[7]  F. Vogel,et al.  The correlation of histologic changes in the human breast with the menstrual cycle. , 1981, The American journal of pathology.

[8]  V. Kosma,et al.  DNA flow cytometry, nuclear morphometry, mitotic indices and steroid receptors as independent prognostic factors in female breast cancer , 1992, International journal of cancer.

[9]  T. Longacre,et al.  A Correlative Morphologic Study of Human Breast and Endometrium in the Menstrual Cycle , 1986, The American journal of surgical pathology.

[10]  S. Fuqua,et al.  Histological and biological evolution of human premalignant breast disease. , 2001, Endocrine-related cancer.

[11]  O L Mangasarian,et al.  Importance of nuclear morphology in breast cancer prognosis. , 1999, Clinical cancer research : an official journal of the American Association for Cancer Research.

[12]  Mina J Bissell,et al.  Collagen-IV and laminin-1 regulate estrogen receptor α expression and function in mouse mammary epithelial cells , 2003, Journal of Cell Science.

[13]  R. Hovey,et al.  Establishing a Framework for the Functional Mammary Gland: From Endocrinology to Morphology , 2004, Journal of Mammary Gland Biology and Neoplasia.

[14]  P. Rosen Rosen's Breast Pathology , 2001 .

[15]  V. Kosma,et al.  Nuclear morphometry and DNA flow cytometry as prognostic factors in female breast cancer. , 1992, The European journal of surgery = Acta chirurgica.

[16]  I. Ellis,et al.  Prediction of local recurrence of ductal carcinoma in situ of the breast using five histological classifications: a comparative study with long follow-up. , 1998, Human pathology.

[17]  V. Kosma,et al.  The significance of nuclear morphometric variables as prognostic predictors in breast cancer. , 1991, Anticancer research.

[18]  Y. Collan,et al.  Morphometric grading of invasive ductal breast cancer. I. Thresholds for nuclear grade. , 1998, British Journal of Cancer.

[19]  Weiqin Jiang,et al.  Using nuclear morphometry to discriminate the tumorigenic potential of cells: a comparison of statistical methods. , 2004, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.