کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2752927 1149600 2012 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The Value of Biomarkers in Patients With Sarcomatoid Carcinoma of the Lung: Molecular Analysis of 33 Cases
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی بیهوشی و پزشکی درد
پیش نمایش صفحه اول مقاله
The Value of Biomarkers in Patients With Sarcomatoid Carcinoma of the Lung: Molecular Analysis of 33 Cases
چکیده انگلیسی

BackgroundSarcomatoid carcinoma (SC) of the lung is a rare histologic group of lung cancers with a poor prognosis. To better understand the prognosis of lung SC, in this study, we evaluated the correlation between several biomarkers and clinical outcomes in patients with lung SC.Patients and MethodsA cohort of 33 patients with lung SC was studied. Protein expressions of excision repair cross-complementation group 1 (ERCC1) and epidermal growth factor receptor (EGFR) were examined by immunohistochemistry. Somatic EGFR and KRAS mutations were identified by direct sequencing. EGFR gene copy number was evaluated by fluorescence in situ hybridization. ERCC1 messenger RNA expression in paraffin-embedded tumor specimens was detected by branched DNA assay.ResultsOur analyses identified 9 patients (9/32) with EGFR mutations and only 1 patient (1/32) with a KRAS mutation. No exon 19 deletion of EGFR gene was detected. Lower messenger RNA levels of ERCC1 were detected in patients with EGFR mutations and/or fluorescence in situ hybridization amplified status. Survival analysis identified several significant factors, including performance status and clinical staging, that predicted for overall survival.ConclusionSC exhibits diverse genotypic variations. Results of our study suggest that chemotherapy could still be an optimal solution for untreated advanced SC, whereas EGFR tyrosine kinase domain inhibitors alone may not be an effective approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Clinical Lung Cancer - Volume 13, Issue 4, July 2012, Pages 288–296
نویسندگان
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