Abstract:The differentiation of intraductal papilloma (IDP) in the breast from ductal carcinoma in situ (DCIS) is sometimes difficult. Fifty papillary lesions (25 DCIS and 25 IDP) were immunohistochemically examined using a panel of antibodies, including CK5/6, ER, p63, Ki‐67, chromogranin A, synaptophysin, neuron specific enolase, CD56, MUC1, MUC3, CD44, p21, p27, and p53. The immunohistochemical staining pattern of each antibody was evaluated using the Allred scoring system. Then, the area under curve (AUC) for each … Show more
“…Markers in breast tissue that have been analysed include HMWCK,4 14 21–23 myoepithelial markers,4 21 22 mucin 3 (MUC3),22 ER,22 cyclin D1,23 chromogranin A4 and synaptophysin 4 13…”
The CADx system was able to analyse sufficient data for all types of epithelial proliferative lesions of the breast including invasive breast cancer. This system may be useful for pathological diagnosis of breast CNB in routine investigations.
“…Markers in breast tissue that have been analysed include HMWCK,4 14 21–23 myoepithelial markers,4 21 22 mucin 3 (MUC3),22 ER,22 cyclin D1,23 chromogranin A4 and synaptophysin 4 13…”
The CADx system was able to analyse sufficient data for all types of epithelial proliferative lesions of the breast including invasive breast cancer. This system may be useful for pathological diagnosis of breast CNB in routine investigations.
“…It locates in or originates from mammary ducts and generally harbors a benign or malignant breast tumor [2][3][4][5]. Abnormal nipple discharge is most commonly caused by benign conditions like intraductal papillomas, duct ectasia, papillomatosis, mastitis, fibrocystic changes [6][7][8][9]. The incidence of breast cancer in patients presenting with abnormal nipple discharge is between 5% to 21% [2,3,10].…”
Section: Discussionmentioning
confidence: 99%
“…Of the patients presented with nipple discharge, the incidence of malignancy is reported as a range from 5% to 21% [5][6]. A large portion of patients with nonpuerperal nipple discharge contain one or several symptoms including: spontaneous unilateral, serous and bloody discharge [7]. In this study, we reviewed the levels of carbohydrate antigen15-3 (CA15-3), tumor specific growth factor (TSGF), carbohydrate antigen125 (CA125) and carcino embryonic antigen (CEA) both in nipple discharge and serum in 179 cases of breast lesions and their relationship with biological parameters were studied and analyzed retrospectively in order to study the Clinical and pathological value, especially in early stage of breast cancer.…”
Abstract. Serum biomarkers are of diagnostic value and can be used for follow-up and prognostic factors. However, serum protein biomarkers show limited diagnostic sensitivity and specificity in stand-alone assays breast cancer because their levels refect tumor burden. In this study, we reviewed the levels of CA15-3, TSGF, CA125 and CEA both in nipple discharge and serum in 179 cases of breast lesions to assess the clinical value of nipple discharge and serum tumor markers in diagnosis, follow-up and prognostic in breast cancer. Our results indicate that the nipple discharge and serum levels of CA15-3, TSGF, CA125 and CEA in breast carcinomas patients were significantly higher than those in the benign disease (P<0.01). Aditionally, The levels of the four tumor markers in nipple discharge were significantly higher than in the serum (P<0.01). The levels of the four biomarkers in nipple discharge had positive correlation with histological grade, clinical stage, the Ki-67 index, expression of VEGF and HER-2/neu, lymphnode metastas and tumor recurrence (P<0.05, respectively), and negative correlation with the level of ER or PR (P<0.05, respectively). The sensitivity of the four serum tumor markes in combination was only 69.77%, in contrast, the combined detection both in discharge and serum was 97.67%, and the negative predictive value was 99.03%. The sensitivity of combined detection both in nipple discharge and serum were significantly higher than other detection (P<0.05). The four tumor markers in nipple discharge are as novel biomarker in dignosis and judging the prognosis of breast cancer. The dynamic combined detection of the four tumor markers both in nipple discharge and serum are helpful to the stratification of preoperative patients and benefit to better prewarning markers for monitoring their recurrence and metastasis of tumors in clinic, but cannot increase the sensitivity of judging the patients with early breast cancer.
“…We used the following antibodies: anti-ER (clone 1D5, DAKO, Santa Clara, CA, USA; dilution 1: 50), anti-progesterone receptor (clone PgR636, DAKO; dilution 1: 50), anti-Ki-67 (clone MM1, Leica Biosystems Newcastle Ltd., Newcastle upon Tyne, UK; dilution 1: 100), anti-HER2 (clone 4B5, Ventana, Tucson, AZ, USA; prediluted), and anti-cytokeratin 5/6 and anti-p63 (based on a previous study) [21]. IHC analysis was optimized by evaluating serial sections with multiple antibody concentrations using a Discovery Automated Immunostainer (Ventana Medical Systems, Tucson, AZ, USA).…”
Background: Ductal carcinoma in situ (DCIS) of the breast is heterogeneous in terms of the risk of progression to invasive ductal carcinoma (IDC). To treat DCIS appropriately for its progression risk, we classified individual DCIS by its profile of genomic changes into 2 groups and correlated them with clinicopathological progression factors. Methods: We used surgically resected, formalin-fixed, paraffin-embedded tissues of 22 DCIS and 30 IDC lesions. We performed immunohistochemical intrinsic subtyping, array-based comparative genomic hybridization, and unsupervised clustering. Results: The samples were divided into 2 major clusters, A and B. Cluster A showed a greater number of gene and chromosome copy number alterations, a larger IDC/DCIS ratio, a higher frequency of nonluminal subtype, a lower frequency of luminal subtype, and a higher nuclear grade, when compared with cluster B. However, there was no difference in the frequencies of lymph node metastasis between clusters A and B. We identified 9 breast-cancer-related genes, including TP53 and GATA3, that highly contributed to the discrimination of A and B clusters. Conclusion: Classification of breast tumors into rapidly progressive cluster A and the other (cluster B) may contribute to select the treatment appropriate for their progression risk.
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