| Literature DB >> 26623063 |
Nannan Guo1, Wen Zhang2, Baoshi Zhang2, Yingjie Li2, Jian Tang2, Shaojun Li2, Yingnan Zhao2, Yunlong Zhao2, Hui Xia2, Changhai Yu2.
Abstract
Personalizing medicines has refined the traditional treatments for non-small-cell lung cancer (NSCLC). In the present study, efforts towards personalizing delivery of care based on the status of EGFR and K-RAS mutations, and mRNA expression levels of ERCC1, TUBB3, TYMS, RRM1 and EGFR by choosing appropriate treatments for 52 patients with NSCLC were discussed. Among these 52 NSCLC patients, there were 14 patients treated with gefitinib. Ten patients with EGFR exon 21 point mutations or exon 19 deletions had better treatment outcomes following gefitinib treatment (71.4%). There were 38 patients treated with platinum-based chemotherapy. Docetaxel-platinum based chemotherapy was chosen as the first-line treatment when the patients had low or median ERCC1/TUBB3 expression and gemcitabine-platinum based chemotherapy was chosen when the patients had low or median ERCC1/RRM1 expression. In total, 26 cases had mRNA expression levels of ERCC1/TUBB3 or ERCC1/RRM1 that could be used to predict the treatment outcomes of chemotherapy (68.4%). The present results indicated that the mutation status of EGFR, as well as the mRNA expression levels of ERCC1, TUBB3 and RRM1, could be used as predictors of the response to gefitinib or chemotherapy.Entities:
Keywords: EGFR and K-RAS mutation status; ERCC1; RRM1 and EGFR mRNA expression levels; TUBB3; chemotherapy; gefitinib; non-small-cell lung cancer
Year: 2015 PMID: 26623063 PMCID: PMC4535032 DOI: 10.3892/mco.2015.611
Source DB: PubMed Journal: Mol Clin Oncol ISSN: 2049-9450