已发表论文

INHBA 上调与食管鳞状细胞癌患者预后不良的关联

 

Authors Lyu S, Jiang C, Xu R, Huang Y, Yan S

Received 18 December 2017

Accepted for publication 10 April 2018

Published 18 June 2018 Volume 2018:10 Pages 1585—1596

DOI https://doi.org/10.2147/CMAR.S160186

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Justinn Cochran

Peer reviewer comments 3

Editor who approved publication: Dr Leylah Drusbosky

Purpose: INHBA, which encodes a member of the TGF-beta superfamily of proteins, has been identified to play a critical role in different types of cancer. However, its clinical significance in esophageal squamous cell carcinoma (ESCC) has never been reported.
Patients and methods: In this study, we collected 239 ESCC paraffin-embedded specimens and measured the expression of INHBA with immunohistochemistry (IHC). The clinical and prognostic significance of INHBA expression was statistically analyzed. What is more, we conducted a meta-analysis to study the prognostic value of INHBA expression in multiple types of solid tumors. 
Results: The results showed that INHBA expression was observed predominantly in the cytoplasm of cells in the ESCC specimens. INHBA expression was closely correlated with N categories (=0.026). Kaplan–Meier analysis showed that ESCC patients in the low INHBA expression subgroup had significantly better prognosis than those with high INHBA level. Subgroup analysis revealed that INHBA distinguished the disease-free survival (DFS) and overall survival (OS) when patients were stratified by TNM stage status and N status. Multivariate analysis results suggested that INHBA expression was an independent factor that affected OS (HR =1.679, =0.022) and DFS (HR =1.715, =0.017). In the meta-analysis, six papers with 1321 patients were included and patients with high INHBA level had worse prognosis than patients with low INHBA level (HR 2.50, 95% CI 1.75–3.57, <0.0001).
Conclusion: High INHBA level predicts poor prognosis in ESCC and other solid tumors. More studies are required to elucidate the role of INHBA and its clinical application in cancer settings.
Keywords: INHBA, ESCC, meta-analysis, prognosis




Figure 3 INHBA expression determined by IHC.