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Estrogen Receptor and ß are Prognostic Factors in Non–Small Cell Lung Cancer

Authors' Affiliations: ¹ Division of Thoracic Surgery, Department of Surgery, Akita University School of Medicine, and ² Department of Pathology, Nakadori General Hospital, Akita, Japan

Requests for reprints: Hideki Kawai, Division of Thoracic Surgery, Department of Surgery, Akita University School of Medicine, 1-1-1 Hondo Akita 010-8543, Japan. Phone: 81-18-884-6132; Fax: 81-18-836-2615; E-mail: hkawai{at}doc.med.akita-u.ac.jp.

Purpose: Estrogen receptor- (ER-) and -ß (ER-ß) play important roles in the carcinogenesis of breast tumors. Similarly, there have been several reports of ER expression in lung cancers, but the results have not been consistent, and the receptors' prognostic value remains unclear. Our goal was to investigate ER expression in non–small cell lung cancer (NSCLC) and to assess whether their expression correlates with prognosis.

Experimental Design: ER expression was examined using immunohistochemical methods with sections from 132 resected NSCLC specimens. Kaplan-Meier survival curves were analyzed to determine the significance of ER expression in the prognosis of NSCLC patients.

Results: ER- was detected in the cytoplasm of 73% of the specimens analyzed, whereas ER-ß was detected in the nucleus of 51%. ER- expression correlated with poorer overall survival (P<0.001), as did the absence of ER-ß expression (P = 0.048). Likewise, at histopathologic stage I, ER- expression (P = 0.028) or the absence of ER-ß (P = 0.037) correlated with a poorer prognosis, and ER-(+)ER-ß(–) patients had a significantly worse prognosis than ER-(–)ER-ß(+) patients (P = 0.00007). Multivariate Cox regression analysis revealed the absence of ER-ß to be an independent factor predictive of poor disease outcome (hazard ratio, 1.9; 95% confidence interval, 1.1-3.4; P = 0.0264).

Conclusions: ER- expression and the absence of ER-ß expression are associated with a poorer prognosis among NSCLC patients. In particular, the absence of ER-ß could serve as a marker identifying patients at high risk even at an early clinical stage.

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