The association between plasma TGF-α levels and EGFR-TKI treatment sensitivity and prognosis in NSCLC patients with EGFR mutation
10.19401/j.cnki.1007-3639.2017.05.011
- VernacularTitle:非小细胞肺癌患者血清TGF-α与EGFR-TKI治疗敏感性和预后的关系
- Author:
Wenliang ZHU
;
Jing LI
;
Xinqiang LIANG
;
Lin LAI
;
Yanyan LIANG
;
Yunxin LU
;
Encun HOU
- Keywords:
Transforming growth factor α;
Epidermal growth factor receptor-tyrosine kinase inhibitor;
Non-small cell lung cancer;
Prognosis
- From:
China Oncology
2017;27(5):389-395
- CountryChina
- Language:Chinese
-
Abstract:
Background and purpose: Epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) is of advantage in treating non-small cell lung cancer (NSCLC) patients with EGFR mutations. However, their clinical effects vary individually. This study aimed to evaluate whether the EGFR ligand, plasma transforming growth factor α (TGF-α), could act as a predictor for the EGFR-TKI treatment e?ciency in NSCLC patients with EGFR mutations and the association between TGF-α and prognosis in these patients. Methods: Seventy-five NSCLC patients with EGFR gene positive mutation were included in the current study from May 2012 to Jul. 2014 in Ruikang Hospital A?liated to Guangxi University of Chinese Medicine. Plasma TGF-α was measured using enzyme-linked immunosorbent assay (ELISA) in all of the patients before EGFR-TKI treatment. The radiographic evaluation was performed 2 months after the therapy. The association between TGF-α and clinical outcome and its prediction e?ciency were determined, followed by the further analysis of the association between TGF-α and overall survival (OS) as well as progression-free survival (PFS). Results: After EGFR-TKI treatment, there were 20 patients with partial response (PR), 25 with stable disease (SD) and 30 with progression disease (PD) in all 75 NSCLC patients harboring EGFR positive mutation. The disease control (DC) rate reached 60%. Patients in PD group presented statistically significant higher plasma TGF-αthan patients in the DC group (P<0.01). Multivariate COX model indicated that smoking status, lymph node metastasis and plasma TGF-α levels were independent risk factors for prognosis in these patients. The ROC analysis revealed that baseline plasma TGF-α showed good prediction e?ciency [area under the curve (AUC)=0.926] and the cut-off point of TGF-α was 16.75 pg/mL. Higher level of TGF-α (≥16.75 pg/mL) was associated with smoking history, clinical stage, lymph node metastasis and clinical outcome of the patients (P<0.05). In comparison to patients with low TGF-α, the patients with high TGF-α concentration presented significantly reduced median OS and PFS (log-rank P<0.05). Conclusion: Higher plasma TGF-α (≥16.75 pg/mL) had a predictive role in EGFR-TKI resistance and poor prognosis.
