Prognostic role of epidermal growth factor receptor in stage III nonsmall cell lung cancer.
New biological factors have not been extensively studied in stage III nonsmall cell lung cancer (NSCLC). The aim of the present retrospective study was to determine the role of epidermal growth factor receptor (EGF-R) as a prognostic factor in stage III NSCLC, in addition to the stage and other known clinical factors. Clinical characteristics were retrieved from the patients' charts. Membrane immunostaining for EGF-R was evaluated by three independent observers. The Cox multivariate model, including all variables with a p-value of <0.2 in univariate analysis, was used to assess the impact of clinical and biological factors on patients survival. Between January 1987 and July 2002, 99 assessable stage III NSCLC patients were included in the study. A total of 23 patients were positive for EGF-R (squamous 39.6% versus nonsquamous 7.8%). In multivariate analysis, only three factors were statistically significantly associated with survival: performance status, surgery and creatinine. In conclusion, good performance status, surgical resection and creatinine were found to be independent favourable prognostic factors for survival in a retrospective analysis of stage III nonsmall cell lung cancer, while epidermal growth factor receptor was not even in the univariate analysis.
Berghmans
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T
Dept of Critical Care and Thoracic Oncology, Institut Jules Bordet, Rue Héger-Bordet 1, 1000 Bruxelles, Belgium. thierry.berghmans@bordet.be
Meert
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AP
Martin
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B
Ninane
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Sculier
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JP
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D014408:Biomarkers, Tumor / Q000378:metabolism*; D002289:Carcinoma, Non-Small-Cell Lung / Q000378:metabolism* / Q000473:pathology; D016009:Chi-Square Distribution; D066246:ErbB Receptors / Q000378:metabolism*; D005260:Female; D006801:Humans; D007124:Immunoenzyme Techniques; D008175:Lung Neoplasms / Q000378:metabolism* / Q000473:pathology; D008297:Male; D008875:Middle Aged; D009367:Neoplasm Staging; D011379:Prognosis; D016016:Proportional Hazards Models; D012189:Retrospective Studies
D014408:Biomarkers, Tumor; D066246:ErbB Receptors