title: Erlotinib: optimizing therapy with predictors of response?
authors.affiliation: Pharmaceutical Sciences, The Cancer Institute of New Jersey and Division of Medical Oncology, Robert Wood Johnson Medical School, University of Medicine and Dentistry of New Jersey, Piscataway, NJ 08903-2681, USA. goodin@umdnj.edu
authors.forename: Susan
authors.initials: S
authors.lastname: Goodin
mesh_terms: D015415:Biomarkers; D002289:Carcinoma, Non-Small-Cell Lung / Q000188:drug therapy*; D002986:Clinical Trials as Topic; D004252:DNA Mutational Analysis; D019008:Drug Resistance, Neoplasm; D023381:Endpoint Determination; D066246:ErbB Receptors / Q000037:antagonists & inhibitors / Q000235:genetics; D000069347:Erlotinib Hydrochloride; D005544:Forecasting; D005784:Gene Amplification; D006801:Humans; D008175:Lung Neoplasms / Q000188:drug therapy*; D011379:Prognosis; D047428:Protein Kinase Inhibitors / Q000009:adverse effects / Q000627:therapeutic use*; D011799:Quinazolines / Q000009:adverse effects / Q000627:therapeutic use*
chemical_list: D015415:Biomarkers; D047428:Protein Kinase Inhibitors; D011799:Quinazolines; D000069347:Erlotinib Hydrochloride; D066246:ErbB Receptors