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.