[No authors listed]
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 â¤3, age â¤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.
KEYWORDS: {{ getKeywords(articleDetailText.words) }}
Sample name | Organism | Experiment title | Sample type | Library instrument | Attributes | |||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
{{attr}} | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
{{ dataList.sampleTitle }} | {{ dataList.organism }} | {{ dataList.expermentTitle }} | {{ dataList.sampleType }} | {{ dataList.libraryInstrument }} | {{ showAttributeName(index,attr,dataList.attributes) }} |
{{ list.authorName }} {{ list.authorName }} |