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Prediction of survival in resected non-small cell lung cancer using a protein expression-based risk model: implications for personalized chemoprevention and therapy.

Clin Cancer Res

April 2014

Authors' Affiliations: Departments of Thoracic/Head and Neck Medical Oncology, Biostatistics, Pathology, and Thoracic and Cardiovascular Surgery, The University of Texas M.D. Anderson Cancer Center, Houston, Texas; Levine Cancer Center; Philips Digital Pathology; and Department of Pathology, University of San Francisco Xavier de Chuquisaca Sucre-Bolivia, San Francisco, California.

Purpose: Patients with resected non-small cell lung cancer (NSCLC) are at risk for recurrence of disease, but we do not have tools to predict which patients are at highest risk. We set out to create a risk model incorporating both clinical data and biomarkers.

Experimental Design: We assembled a comprehensive database with archival tissues and clinical follow-up from patients with NSCLC resected between 2002 and 2005.

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