Bharti Jyotsna Naresh, Rani Poonam, Kamal Vinay, Agarwal Prem Narayan
Senior Resident, Department of Pathology, Maulana Azad Medical College , New Delhi, India .
Director Professor, Department of Pathology, Maulana Azad Medical College , New Delhi, India .
J Clin Diagn Res. 2015 Jan;9(1):EC05-7. doi: 10.7860/JCDR/2015/10591.5447. Epub 2015 Jan 1.
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.
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.
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).
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.
本研究旨在利用CD34评估雌激素、孕激素阳性和阴性乳腺癌中的血管生成情况,并将微血管密度与已知的组织学预后因素、乳腺癌的形态学类型及淋巴结转移进行关联分析。
本研究纳入28例未经治疗的乳腺癌病例,从乳腺癌患者代表性的乳房切除标本中获取石蜡包埋切片。切片进行苏木精-伊红染色,并使用CD34、雌激素、孕激素、细胞角蛋白和上皮膜抗原抗体进行免疫组织化学检测。使用CD34抗体分析血管生成情况。为进行统计学分析,病例被分为雌激素、孕激素受体阳性和阴性组。
ER-/PR-、ER-/PR+、ER+/PR-、ER+/PR+组的平均微血管密度分别为15.45、14.83、11、10.89。发现ER受体与平均血管密度之间存在显著相关性,p值(<0.05)。四组之间的平均血管密度存在显著差异(p值<0.05)。浸润性导管癌(NOS)III级的平均微血管密度最高(14.17),其次是II级(12.93)和I级(12.33)。
有关乳腺癌患者预后因素的信息可能会带来更好的方法,以识别那些可能从辅助治疗中获益的高危患者。