Pertschuk L P, Kim D S, Nayer K, Feldman J G, Eisenberg K B, Carter A C, Rong Z T, Thelmo W L, Fleisher J, Greene G L
Department of Pathology, State University of New York Health Science Center, Brooklyn.
Cancer. 1990 Oct 15;66(8):1663-70. doi: 10.1002/1097-0142(19901015)66:8<1663::aid-cncr2820660802>3.0.co;2-c.
Breast cancer specimens from 600 women were assayed for estrogen receptors (ER) using an immunocytochemical assay (ICA) employing the monoclonal antiestrophilin antibody H222 Sp gamma. Results showed significant correlation with biochemical ER determinations as well as with tumor grade and menopausal status. In 449 cases, results of progesterone receptor assay by ICA using the monoclonal anti-PgR antibody KD 68, also correlated significantly with biochemical PgR measurements. The ERICA/PgRICA positivity was significantly more frequent in postmenopausal white women. Colloid carcinomas were most likely to be ERICA positive and PgRICA positive whereas medullary carcinomas were most often negative. In 47 patients with advanced mammary carcinoma, results of ERICA and PgRICA were more closely related to endocrine response than those of ER and PgR by dextran-coated charcoal assay (DCC). In 339 women with Stage I or Stage II breast cancer, ERICA was significantly associated with disease-free survival. Analysis by Cox's proportional hazard model, however, showed PgRICA to be the best predictor of survival and disease-free survival in 197 women at the same stages of disease. These data indicate that ICA is more predictive of prognosis than biochemical ER and PgR. The ease of ICA performance coupled with these results indicate that the method is an acceptable substitute for DCC in analyzing breast cancers for ER/PgR.
采用单克隆抗雌激素亲合素抗体H222 Spγ的免疫细胞化学分析法(ICA),对600名女性的乳腺癌标本进行雌激素受体(ER)检测。结果显示,其与生化ER测定结果以及肿瘤分级和绝经状态显著相关。在449例病例中,使用单克隆抗PgR抗体KD 68通过ICA进行的孕激素受体检测结果,也与生化PgR测量结果显著相关。ERICA/PgRICA阳性在绝经后白人女性中更为常见。黏液癌最有可能为ERICA阳性和PgRICA阳性,而髓样癌最常为阴性。在47例晚期乳腺癌患者中,与通过葡聚糖包被活性炭分析法(DCC)检测的ER和PgR结果相比,ERICA和PgRICA结果与内分泌反应的相关性更强。在339例I期或II期乳腺癌女性中,ERICA与无病生存期显著相关。然而,通过Cox比例风险模型分析显示,在疾病处于相同阶段的197名女性中,PgRICA是生存和无病生存的最佳预测指标。这些数据表明,ICA比生化ER和PgR更能预测预后。ICA操作简便,再加上这些结果表明,在分析乳腺癌的ER/PgR时,该方法是DCC的可接受替代方法。