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Undesirable cytokeratin immunoreactivity of native nonepithelial cells in sentinel lymph nodes from patients with breast carcinoma.

CONTEXT
Use of cytokeratin immunohistochemistry on histologically negative sentinel lymph nodes (SLNs) in patients with breast carcinoma has been shown to be efficient in detecting false-negative nodes. Several recent studies have shown that micrometastases detected by immunohistochemistry constitute an independent predictor of disease-free period and overall survival for breast cancer patients. It has been demonstrated that the fibroblastic type of reticulum cells in lymph nodes also express cytokeratin, and unawareness of such cytokeratin reactivity in SLNs could result in difficulty in the interpretation of the results of immunohistochemistry.


OBJECTIVES
To study the incidence of undesirable cytokeratin reactivity in reticulum cells and other native nonepithelial cells of SLNs and to compare the immunoreactivity of 3 commonly used cytokeratin antibodies (AE1/AE3, pancytokeratin [pan-CK], and CAM5.2).


DESIGN
Immunohistochemistry with pan-CK, AE1/AE3, and CAM5.2 antibodies was performed on paraffin sections of SLNs from patients with breast cancer. Correlation of undesirable cytokeratin reactivity with size and metastatic status of the SLNs was also analyzed.


PATIENT MATERIAL
Paraffin sections of 84 SLNs from 38 consecutive patients with breast cancer in our tertiary-care, teaching hospital.


RESULTS
Cytokeratin reactivity was found in reticulum cells and plasma cells in 29 (35%) and 9 (10%) of the 84 SLNs, respectively, with pan-CK and CAM5.2 but not with AE1/AE3 (P <.001). The presence of cytokeratin-positive reticulum cells did not correlate with the size and metastatic involvement of the SLNs.


CONCLUSIONS
The incidence of undesirable keratin reactivity in SLNs from breast cancer patients could be limited by using an AE1/AE3 antibody cocktail. The AE1/AE3 antibody cocktail is a sensitive epithelial marker and appears to be more specific in recognizing epithelial cells in SLNs.