TY - JOUR
T1 - Measuring HER-2 in breast cancer. Immunohistochemistry, FISH, or ELISA?
AU - Yeh, I. Tien
PY - 2002/6
Y1 - 2002/6
N2 - Measuring HER-2 is important for selecting optimal therapy and predicting prognosis in breast cancer patients. Current methods for evaluating HER-2 include measuring protein overexpression by immunohistochemistry (IHC), measuring gene copy number by fluorescent in situ hybridization (FISH), and measuring shed antigen in the serum by enzyme-linked immunosorbent assay (ELISA). This review compares these 3 methods and analyzes the current literature pertaining to this subject. In comparing IHC with FISH, the negative predictive value is excellent for commonly used commercial antibodies but the positive predictive value is highly variable. However, by considering only strongly staining cases as positive by IHC, the positive predictive value is markedly improved. ELISA is useful in the follow-up care of patients with breast cancer. An algorithm for using all 3 methods is presented.
AB - Measuring HER-2 is important for selecting optimal therapy and predicting prognosis in breast cancer patients. Current methods for evaluating HER-2 include measuring protein overexpression by immunohistochemistry (IHC), measuring gene copy number by fluorescent in situ hybridization (FISH), and measuring shed antigen in the serum by enzyme-linked immunosorbent assay (ELISA). This review compares these 3 methods and analyzes the current literature pertaining to this subject. In comparing IHC with FISH, the negative predictive value is excellent for commonly used commercial antibodies but the positive predictive value is highly variable. However, by considering only strongly staining cases as positive by IHC, the positive predictive value is markedly improved. ELISA is useful in the follow-up care of patients with breast cancer. An algorithm for using all 3 methods is presented.
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M3 - Review article
C2 - 14569800
AN - SCOPUS:0242348742
VL - 117 Suppl
SP - S26-35
JO - American Journal of Clinical Pathology
JF - American Journal of Clinical Pathology
SN - 0002-9173
ER -