This is an archive of papers published by the staff and faculty of Fox Chase Cancer Center. For questions about content, please contact Talbot Research Library
Last updated on
Chung CH , Seeley EH , Roder H , Grigorieva J , Tsypin M , Roder J , Burtness BA , Argiris A , Forastiere AA , Gilbert J , Murphy B , Caprioli RM , Carbone DP , Cohen EE
Detection of tumor epidermal growth factor receptor pathway dependence by serum mass spectrometry in cancer patients
Cancer Epidemiol Biomarkers Prev. 2010 Feb;19(2) :358-65
PMID: 20086114 PMCID: PMC2846615 URL: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=20086114
AbstractBACKGROUND: We hypothesized that a serum proteomic profile predictive of survival benefit in non-small cell lung cancer patients treated with epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKI) reflects tumor EGFR dependency regardless of site of origin or class of therapeutic agent. METHODS: Pretreatment serum or plasma from 230 patients treated with cetuximab, EGFR-TKIs, or chemotherapy for recurrent/metastatic head and neck squamous cell carcinoma (HNSCC) or colorectal cancer (CRC) were analyzed by mass spectrometry. Each sample was classified into "good" or "poor" groups using VeriStrat, and survival analyses of each cohort were done based on this classification. For the CRC cohort, this classification was correlated with the tumor EGFR ligand levels and KRAS mutation status. RESULTS: In the EGFR inhibitor-treated cohorts, the classification predicted survival (HNSCC: gefitinib, P = 0.007 and erlotinib/bevacizumab, P = 0.02; CRC: cetuximab, P = 0.0065) whereas the chemotherapy cohort showed no survival difference. For CRC patients, tumor EGFR ligand RNA levels were significantly associated with the proteomic classification, and combined KRAS and proteomic classification provided improved survival classification. CONCLUSIONS: Serum proteomic profiling can detect clinically significant tumor dependence on the EGFR pathway in non-small cell lung cancer, HNSCC, and CRC patients treated with either EGFR-TKIs or cetuximab. This classification is correlated with tumor EGFR ligand levels and provides a clinically practical way to identify patients with diverse cancer types most likely to benefit from EGFR inhibitors. Prospective studies are necessary to confirm these findings. Cancer Epidemiol Biomarkers Prev; 19(2); 358-65.
NotesChung, Christine H Seeley, Erin H Roder, Heinrich Grigorieva, Julia Tsypin, Maxim Roder, Joanna Burtness, Barbara A Argiris, Athanassios Forastiere, Arlene A Gilbert, Jill Murphy, Barbara Caprioli, Richard M Carbone, David P Cohen, Ezra E W United States Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology Cancer Epidemiol Biomarkers Prev. 2010 Feb;19(2):358-65. Epub 2010 Jan 19.