| Literature DB >> 25634180 |
Chia-Hao Chang1, Chih-Hsin Lee, Chao-Chi Ho, Jann-Yuan Wang, Chong-Jen Yu.
Abstract
The association between tuberculosis (TB) and lung cancer is well known. However, carcinogenesis of TB and its connection with epidermal growth factor receptor (EGFR) mutation remains unclear. This study aimed to determine this connection to see if TB can affect the outcome of patients with lung cancer. This is a retrospective cohort study of patients with lung cancer receiving EGFR-tyrosine kinase inhibitors (TKIs) between 1996 and 2010 using the National Health Insurance Research Database of Taiwan. Because therapeutic response was required to apply EGFR-TKIs for >90 days, only patients with a follow-up of >120 days were studied and a responder was defined as intake of EGFR-TKIs >90 days. Predictors of EGFR-TKI response and survival were identified using logistic and Cox regression analyses, respectively. There were 8265 patients analyzed, including 6073 (73.5%) EGFR-TKI responder and 2192 (26.5%) nonresponder. A history of TB was found in 1.2% and 1.8% of the 2 groups, respectively. Comparing to male with pulmonary TB history, female with or without pulmonary TB history and male without pulmonary TB history all had a better EGFR-TKI response and 1-year progression-free survival (PFS). Gender and TB history were not independent prognostic factors of 2-year overall survival. The findings were similar in the subpopulation without chronic obstructive pulmonary disease, malignancies other than lung cancer, and low-income status. TB has a gender-dependent impact, with better EGFR-TKI response and 1-year PFS in female patients with lung cancer. The carcinogenesis and inflammation of TB may be different between genders.Entities:
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Year: 2015 PMID: 25634180 PMCID: PMC4602966 DOI: 10.1097/MD.0000000000000444
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.889
Figure 1Selection and disposition of the study subjects. EGFR-TKI = epidermal growth factor receptor-tyrosine kinase inhibitor.
Patient Characteristics Based on EGFR-TKI Treatment Response
Univariate and Multivariate Logistic Regression Analysis for Predicting Response to ESRD-TKI
Multivariate Cox Proportional Hazard Regression Analysis for 1-y PFS
Figure 2Kaplan–Meier curves for (A) 1-year progression-free survival in different genders with and without a history of pulmonary TB, (B) 2-year overall survival in EGFR-TKI nonresponder versus EGFR-TKI responder, and (C) 2-year overall survival in different genders with and without a history of pulmonary TB. EGFR-TKI = epidermal growth factor receptor-tyrosine kinase inhibitor, TB = tuberculosis.
Multivariate Cox Proportional Hazard Regression Analysis for 2-y OS