Digital Image Analysis Using Immunohistochemistry for a Myoepithelial Marker (CK14/P63) Differentiating DCIS from Invasive Breast Cancer

Authors: Maeda I*, Tajima S, Noguchi A, Chosokabe M, Kojima Y, Kanemaki Y, Ueno T, Tsugawa K and Takagi M

DOI: 10.23880/cprj-16000114

Volume 3, Issue 1

Abstract

Many researchers have reported immunohistochemistry of breast pathology studied using image-analysis software. Aims: This study was to confirm the availability of digital image analysis (DIA) for breast pathology using immunohistochemistry for a myoepithelial marker with an antibody cocktail targeting CK14/p63 to differentiate ductal carcinoma in situ (DCIS) from invasive ductal cancer (IDC). Methods and Material: We collected 139 consecutive core needle biopsy (CNB) specimens diagnosed as “malignant”. All 139 CNB specimens were stained with a cocktail of antibodies targeting CK14/p63. All stained sections were photographed using data be scanned by a whole-slide imaging system. The images were analyzed using software to clarify the proportions of tumor cells that were positive or negative for the marker. The cutoff value for CK14/p63 (negative or positive) was determined using receiver operating characteristic (ROC) analysis. Results: The cutoff value for CK14/p63 was 3.17%, and a significant difference was found between DCIS and IDC (P < .0001). In DIA Dx, the sensitivity, specificity, positive predictive value for IDC, and negative predictive value for IDC were 76.9%, 83.3%, 93.9%, and 34.9%, respectively (P < .0001). Conclusion: DIA of immunostaining for CK14/p63 of breast cancer specimens is useful for distinguishing between DCIS and IDC.

Keywords: Breast; High Molecular; Myoepithelial cells; Fibroadenoma; Synaptophysin

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