Angiogenesis in Breast Cancer and its Correlation with Estrogen, Progesterone Receptors and other Prognostic Factors.

Autor: Bharti JN; Senior Resident, Department of Pathology, Maulana Azad Medical College , New Delhi, India ., Rani P; Senior Resident, Department of Pathology, Maulana Azad Medical College , New Delhi, India ., Kamal V; Director Professor, Department of Pathology, Maulana Azad Medical College , New Delhi, India ., Agarwal PN; Director Professor & HOD, Department of Surgery, Maulana Azad Medical College , New Delhi, India .
Jazyk: angličtina
Zdroj: Journal of clinical and diagnostic research : JCDR [J Clin Diagn Res] 2015 Jan; Vol. 9 (1), pp. EC05-7. Date of Electronic Publication: 2015 Jan 01.
DOI: 10.7860/JCDR/2015/10591.5447
Abstrakt: Purpose: The aim of study is to evaluate angiogenesis using CD34, in estrogen, progesterone positive and negative breastcancer and to correlate the microvessel density with known histological prognostic factors, morphological type of breast carcinoma and lymph node metastasis.
Materials and Methods: Twenty eight untreated cases of breast cancer were included in the study and paraffin embedded sections were obtained from representative mastectomy specimen of breast cancer patient. The sections were stained with hematoxylin and eosin stain and immunohistochemistry was performed using CD34, estrogen, progesterone, cytokeratin and epithelial membrane antigen antibody. Angiogenesis was analysed using CD 34 antibody. For statistical analysis, cases were grouped into estrogen, progesterone positive and negative receptors.
Results: Mean microvessel density in ER-/PR-, ER-/ PR+, ER+/PR-, ER+/PR+ was 15.45, 14.83, 11, 10.89 respectively. A significant correlation was found between ER receptors and mean vascular density with p-value (< 0.05). A significant difference was observed in mean vascular density between the four groups comprising (p-value < 0.05). Infiltrating duct carcinoma (NOS) grade III has got the highest mean microvessel density (14.17) followed by grade II (12.93) and grade I (12.33).
Conclusion: Information about prognostic factors in breast cancer patients may lead to better ways to identify those patients at high risk who might benefit from adjuvant therapies.
Databáze: MEDLINE