Expression of TGFβ-1 and EHD1 correlated with survival of non-small cell Lung cancer

Yuanyuan Gao1, Yan Wang2, Lichun Sun1, Qingwei Meng1, Li Cai1, Xiaoqun Dong3
1The Forth Department of Medicine Oncology, Harbin Medical University Cancer Hospital, Harbin, China
2The Fifth Department of Medicine Oncology, The Tumor Hospital of Harbin Medical University, Harbin, China
3Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, The University of Rhode Island, Kingston, USA

Tóm tắt

Transforming growth factor-β1 (TGFβ-1) signaling is regulated by endocytotic pathway. To clarify the prognostic value of TGFβ-1 and to verify the involvement of endocytosis in drug resistance, we examined the expression of TGFβ-1 and Eps15 homology domain 1 (EHD1) in non-small cell lung cancer (NSCLC) and its association with tumor characteristics and survival of patients with NSCLC. Expression of TGFβ-1 and EHD1 was evaluated by immunohistochemistry in paraffin sections from 105 NSCLC patients. Overall survival (OS) was analyzed by Kaplan–Meier method, log-rank test, and multivariate Cox proportional hazard regression model. Positive immunostaining of TGFβ-1 and EHD1 was detected in 52.38 and 39.05 % of NSCLC samples, respectively. In non-adjuvant chemotherapy-treated group (P = 0.006) and epidermal growth factor receptor (EGFR) (+) group (P = 0.038), patients with TGFβ-1 expression had a longer OS. EHD1 negative expression predicted a longer OS (P = 0.003), especially in EGFR (+) (P = 0.006) and adjuvant chemotherapy-treated patients (P = 0.003). NSCLC patients with concurrent positive TGFβ-1 and negative EHD1 (combined markers) were significantly correlated with better OS (P = 0.001). American Joint Committee on Cancer (AJCC) status and combined markers were independent prognostic indicators for OS (HR (95 % CI) 1.576 (1.112–2.232), P = 0.011 and HR 0.349 (0.180–0.673), P = 0.002, respectively). We identified concordant TGFβ-1 positive and EHD1 negative as a strong favorable prognosis factor in NSCLC. Our results may help us to select and optimize strategies for individualized therapy.

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