Cargando…

Predictive factors in patients with EGFR mutation-negative non-small cell lung cancer treated with erlotinib

Factors predicting the efficacy of erlotinib treatment in patients with EGFR mutation-negative non-small-cell lung cancer (NSCLC) have not been well studied. This retrospective study investigates whether patient characteristics, such as site of metastasis, can predict the efficacy of erlotinib treat...

Descripción completa

Detalles Bibliográficos
Autores principales: ISHII, HIDENOBU, AZUMA, KOICHI, YAMADA, KAZUHIKO, KINOSHITA, TAKASHI, IMAMURA, YOUHEI, HOSHINO, TOMOAKI
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4214475/
https://www.ncbi.nlm.nih.gov/pubmed/25364452
http://dx.doi.org/10.3892/ol.2014.2548
_version_ 1782341966401372160
author ISHII, HIDENOBU
AZUMA, KOICHI
YAMADA, KAZUHIKO
KINOSHITA, TAKASHI
IMAMURA, YOUHEI
HOSHINO, TOMOAKI
author_facet ISHII, HIDENOBU
AZUMA, KOICHI
YAMADA, KAZUHIKO
KINOSHITA, TAKASHI
IMAMURA, YOUHEI
HOSHINO, TOMOAKI
author_sort ISHII, HIDENOBU
collection PubMed
description Factors predicting the efficacy of erlotinib treatment in patients with EGFR mutation-negative non-small-cell lung cancer (NSCLC) have not been well studied. This retrospective study investigates whether patient characteristics, such as site of metastasis, can predict the efficacy of erlotinib treatment in NSCLC patients. In total, 53 EGFR mutation-negative NSCLC patients treated with erlotinib were enrolled, and the associations between clinicopathological characteristics and patient survival were analyzed. The EGFR mutation status was determined using the peptide nucleic acid-locked nucleic acid polymerase chain reaction clamp method. Survival curves were obtained using the Kaplan-Meier method. Among the NSCLC patients treated with erlotinib, 27 patients with pulmonary metastasis exhibited significantly longer progression-free survival (PFS) and overall survival (OS) times than those without pulmonary metastasis (median PFS time, 2.9 versus 1.2 months; P=0.0010 and median OS time, 12.4 versus 4.1 months; P=0.0007). Multivariate analyses also revealed that pulmonary metastasis independently correlated with PFS and OS times (hazard ratio, 0.39; P=0.0055 and hazard ratio, 0.33; P=0.0022, respectively). Patients with pulmonary metastasis exhibited significantly longer PFS and OS times than those without pulmonary metastasis. The presence of pulmonary metastasis may be a predictive factor in patients with EGFR mutation-negative NSCLC treated with erlotinib.
format Online
Article
Text
id pubmed-4214475
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher D.A. Spandidos
record_format MEDLINE/PubMed
spelling pubmed-42144752014-10-31 Predictive factors in patients with EGFR mutation-negative non-small cell lung cancer treated with erlotinib ISHII, HIDENOBU AZUMA, KOICHI YAMADA, KAZUHIKO KINOSHITA, TAKASHI IMAMURA, YOUHEI HOSHINO, TOMOAKI Oncol Lett Articles Factors predicting the efficacy of erlotinib treatment in patients with EGFR mutation-negative non-small-cell lung cancer (NSCLC) have not been well studied. This retrospective study investigates whether patient characteristics, such as site of metastasis, can predict the efficacy of erlotinib treatment in NSCLC patients. In total, 53 EGFR mutation-negative NSCLC patients treated with erlotinib were enrolled, and the associations between clinicopathological characteristics and patient survival were analyzed. The EGFR mutation status was determined using the peptide nucleic acid-locked nucleic acid polymerase chain reaction clamp method. Survival curves were obtained using the Kaplan-Meier method. Among the NSCLC patients treated with erlotinib, 27 patients with pulmonary metastasis exhibited significantly longer progression-free survival (PFS) and overall survival (OS) times than those without pulmonary metastasis (median PFS time, 2.9 versus 1.2 months; P=0.0010 and median OS time, 12.4 versus 4.1 months; P=0.0007). Multivariate analyses also revealed that pulmonary metastasis independently correlated with PFS and OS times (hazard ratio, 0.39; P=0.0055 and hazard ratio, 0.33; P=0.0022, respectively). Patients with pulmonary metastasis exhibited significantly longer PFS and OS times than those without pulmonary metastasis. The presence of pulmonary metastasis may be a predictive factor in patients with EGFR mutation-negative NSCLC treated with erlotinib. D.A. Spandidos 2014-12 2014-09-18 /pmc/articles/PMC4214475/ /pubmed/25364452 http://dx.doi.org/10.3892/ol.2014.2548 Text en Copyright © 2014, Spandidos Publications http://creativecommons.org/licenses/by/3.0 This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.
spellingShingle Articles
ISHII, HIDENOBU
AZUMA, KOICHI
YAMADA, KAZUHIKO
KINOSHITA, TAKASHI
IMAMURA, YOUHEI
HOSHINO, TOMOAKI
Predictive factors in patients with EGFR mutation-negative non-small cell lung cancer treated with erlotinib
title Predictive factors in patients with EGFR mutation-negative non-small cell lung cancer treated with erlotinib
title_full Predictive factors in patients with EGFR mutation-negative non-small cell lung cancer treated with erlotinib
title_fullStr Predictive factors in patients with EGFR mutation-negative non-small cell lung cancer treated with erlotinib
title_full_unstemmed Predictive factors in patients with EGFR mutation-negative non-small cell lung cancer treated with erlotinib
title_short Predictive factors in patients with EGFR mutation-negative non-small cell lung cancer treated with erlotinib
title_sort predictive factors in patients with egfr mutation-negative non-small cell lung cancer treated with erlotinib
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4214475/
https://www.ncbi.nlm.nih.gov/pubmed/25364452
http://dx.doi.org/10.3892/ol.2014.2548
work_keys_str_mv AT ishiihidenobu predictivefactorsinpatientswithegfrmutationnegativenonsmallcelllungcancertreatedwitherlotinib
AT azumakoichi predictivefactorsinpatientswithegfrmutationnegativenonsmallcelllungcancertreatedwitherlotinib
AT yamadakazuhiko predictivefactorsinpatientswithegfrmutationnegativenonsmallcelllungcancertreatedwitherlotinib
AT kinoshitatakashi predictivefactorsinpatientswithegfrmutationnegativenonsmallcelllungcancertreatedwitherlotinib
AT imamurayouhei predictivefactorsinpatientswithegfrmutationnegativenonsmallcelllungcancertreatedwitherlotinib
AT hoshinotomoaki predictivefactorsinpatientswithegfrmutationnegativenonsmallcelllungcancertreatedwitherlotinib