Serum levels of surfactant protein D predict the anti-tumor activity of gefitinib in patients with advanced non-small cell lung cancer.
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Abstract
PURPOSE: Gefitinib is an epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) that has dramatic effects in selective patients with non-small cell lung cancer (NSCLC). A simple non-invasive method for predicting the efficacy of gefitinib is preferable in clinical settings. In this study, we evaluated prospectively whether surfactant protein-A (SP-A) and -D (SP-D) may be new conventional predictors of the efficacy of gefitinib treatment. METHODS: We measured serum SP-A and SP-D levels on days 0 and 29 in 40 patients with advanced NSCLC treated with 250 mg gefitinib daily. Eligibility criteria included performance status </=3, age </=80 years, and stage IIIB-IV disease. In addition, EGFR mutations were analyzed in 24 patients. RESULTS: Multivariate analysis showed that favorable progression-free survival (PFS) after gefitinib treatment was associated with adenocarcinoma and high serum SP-D levels before treatment. EGFR mutation analysis of 24 patients showed that 16 patients had exon 19 deletion and/or exon 21 point mutations. EGFR mutations were significantly correlated with response to gefitinib and serum SP-D levels before treatment was significantly high in patients with the EGFR mutations. Serum SP-A levels were not associated with PFS. CONCLUSIONS: The present study showed that measurement of serum SP-D levels before treatment in patients with NSCLC may be a new surrogate marker for predicting the response to gefitinib.
The original publication is available at www.springerlink.com
Cancer Chemotherapy and Pharmacology, 67(2), pp.331-338; 2011
Journal
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- Cancer chemotherapy and pharmacology
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Cancer chemotherapy and pharmacology 67 (2), 331-338, 2011-02
Springer Berlin
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Keywords
Details 詳細情報について
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- CRID
- 1050568772228128128
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- NII Article ID
- 120006984543
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- NII Book ID
- AA00598397
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- ISSN
- 03445704
- 14320843
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- HANDLE
- 10069/23169
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- Text Lang
- en
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- Article Type
- journal article
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- Data Source
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- IRDB
- CiNii Articles