Does the correlation between EBNA-1 and p63 expression in breast carcinomas provide a clue to tumorigenesis in Epstein-Barr virus-related breast malignancies?

Abstract

Several investigators have identified Epstein-Barr virus (EBV) particles in breast carcinomas, a fact that supports a role for EBV in mammary tumorigenesis. The possible mechanism involved in this process is not clear. The present study was carried out in an attempt to determine whether there is a relationship between latent infection with EBV and p53 and p63 expression in breast carcinomas. Immunohistochemistry developed with 3.3-diaminobenzidine tetrahydrochloride was performed in 85 formalin-fixed paraffin-embedded breast carcinomas using anti-EBV EBNA-1, anti-p63, anti-p53, anti-estrogen receptor (ER) and anti-progesterone receptor (PR) antibodies. The cases were selected to represent each of the various histologic types: intraductal carcinoma (N = 12), grade I invasive ductal carcinoma (N = 15), grade II invasive ductal carcinoma (N = 15), grade III invasive ductal carcinoma (N = 15), tubular carcinoma (N = 8), lobular carcinoma (N = 10), and medullary carcinoma (N = 10). The ductal breast carcinomas were graded I, II and III based on the Scarff-Bloom and Richardson grading system modified by Elston and Ellis. One slide containing at least 1000 neoplastic cells was examined in each case. ER, PR, p63, p53 and EBNA-1 were positive in 60, 40, 11.8, 21.2 and 37.6% of carcinomas, respectively. There was a correlation between EBNA-1 and p63 expression (P < 0.001), but not between EBNA-1 and p53 (P = 0.10). These data suggest a possible role for p63 in the mammary tumorigenesis associated with Epstein-Barr virus infection.

Epstein–Barr virus is seldom found in mammary epithelium of breast cancer tissue using in situ molecular methods

“…The initial step was to ask: Is EBV present in malignant breast epithelium and if so, is its presence more frequent in malignant than in normal breast epithelium? Many studies used immunohistochemistry to detect EBV proteins [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] but the majority used molecular methods to detect EBV DNA or mRNA. Of the 31 studies using molecular methods [1][2][3][4][5][6][7][8][9][10][11][12][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32], 22 found EBV in malignant breast tissues [2, 3, 5, 7, 8, 10-12, 14-16, 18, 19, 22-24, 26-29, 31, 32].…”

Carcinoma medular da mama: correlação anátomo-radiológica

“…The World Health Organization describes this tumor as "a wellcircumscribed carcinoma composed of poorly differentiated cells with scant stroma and prominent lymphoid infiltration" (23,25,29-32) ( Figure 1). It is a tumor with well-circumscribed margins with high histological and nuclear degree, composed of poorly differentiated cells, that does not present a tubular or glandular structure, but rather a prominent lymphoplasmocytary infiltrate with nuclear pleomorphism and high proliferation (32) . The tumor cells are large, with macronuclei, syncytially arranged, with moderate, abundant and diffuse inflammatory lymphoplasmocytary infiltrate among cell clusters.…”

“…The tumor cells are large, with macronuclei, syncytially arranged, with moderate, abundant and diffuse inflammatory lymphoplasmocytary infiltrate among cell clusters. Clinically, the tumor is well-delimited, and at mammography is typically well-circumscribed (Figures 2 and 3), and may be confused with a benign lesion (32)(33)(34) . Nodular, lobulated lesion with microlobulated margins was the radiological aspect most frequently found in the present casuistic, likewise in several studies in the literature (20,23,24,28,29,32,33) (Figures 2 and 3).…”

Predicting Breast Tumor via Mining DNA Viruses with Decision Tree

“…The EBV' s researches with the breast cancer are for [10], [11], [12]. Huang et al [10] evaluated EBV with epithelial carcinomas such as breast cancer would benefit from a better understanding of the outcome of EBV infection of these cells.…”

“…Huang et al [10] evaluated EBV with epithelial carcinomas such as breast cancer would benefit from a better understanding of the outcome of EBV infection of these cells. Ribeiro-Silva et al [11] studied whether there is a relationship between latent infection with EBV and p53 and p63 expression in breast carcinomas. Baeyens et al [12] compared the radiation response in EBV cell lines derived from breast cancer patients with or without a BRCA1 mutation revealed no significant different.…”