An Autoantibody Against Human DNA-topoiomerase I is a Novel Biomarker for Non-Small Cell Lung Cancer.
By: Wen-Bin Wu, Shang-Mian Yie, Shang-Rong Ye, Ke Xie, Jian-Bo Zhang, Mei Cao, Jie Chen, Xu He, Xiao-Li Ma, Jia Zhang

Departmnet of Geriatrics, Affiliated Hospital of Chengdu University of Traditional Chinese Medicine.
2017-06-08; doi: 10.1016/j.athoracsur.2018.01.036
Abstract

Background

We previously reported a novel tumor associated antigen with a molecular weight around 48 kDa that was a fragment derived from human DNA-topoiomerase I. The aim of this study is to further investigate the clinical significance of the autoantibody in patients with non-small cell lung cancer (NSCLC).

Methods

We determined serum levels of the autoantibody in 127 NSCLC patients, 127 age-, gender- and smoking history-matched healthy controls, and 38 patients with pulmonary benign tumors by using a specific enzyme linked immunosorbent assay (ELISA) for the autoantibody. We then statistically evaluated its clinical application value.

Results

Serum levels of the autoantibody in NSCLC patients were significantly higher than in healthy controls and patients with benign tumors (P = 0.001). The percentage of sera with a positive level of the autoantibody was 71.8%, 65.6%, 41.9% and 48.0 % in stages I, II, III and IV of the cancer, respectively (P = 0.049). The area under a receiver operating characteristic curve was 0.971 (95% CI = 0.953 - 0988) for healthy controls and patients with benign tumors vs. early stage NSCLC patients. Moreover, the overall survival rate of the patients in stages I, II and IV with negative levels of the autoantibody were significantly lower than those with positive levels of the autoantibody (P = 0.013, 0.023 and 0.047 for stages I, II and IV, respectively).

Conclusions

Our results indicate that the autoantibody can be used as a novel biomarker for the early diagnosis and prognosis of NSCLC.



Copyright © 2018 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

PMID:29453962






Copyright 2026 InterMDnet | Privacy Policy | Disclaimer | System Requirements