Validation of autoantibody panel for early detection of lung cancer in Chinese population.

e22143 Background: Autoantibodies is an attractive diagnostic approach for early detection of malignant tumors. Our previous studies found a panel of 7 TAAs(p53, GAGE7, PGP9.5, CAGE, MAGE A1, SOX2, GBU4-5) was associated with lung cancer. We performed this large-scale, multi-center clinical trial to validate their ability to aid early diagnosis of lung cancer in Chinese population. Methods: The 7 TAAs were selected from 43 candidate TAAs from our previous studies, which were detected by ELISA in 1915 participants from 5 clinical centers in China. These samples including lung cancer (n = 818), benign lung diseases (n = 386), healthy volunteers (n = 415) and interference group (n = 296). The sensitivity and specificity from 7 TAAs and the traditional cancer biomarkers CEA, NSE and CYFRA21-1 were compared. Results: The sensitivity and specificity of autoantibody assay were 61% and 90% respectively, which were similar in different subgroups such as age, gender, smoker status and histological type. As for the enrolled patients with lung cancer, the sensitivities were 60% for patients with stage I/II, which were significantly higher than 27% ( p < 0.01)when using the combination of CEA, NSE and CYFRA21-1 to detect patients with lung cancer. While in patients with stage III/IV lung cancer, sensitivities were similar (63% vs. 56%, p > 0.05) and specificity was significantly improved (90% vs 71%, p < 0.01). The specificity was consistent in benign lung diseases and autoimmune diseases(interference group) and were 90% and 94% respectively and a concentration decrease of 7 TAAs were also observed after tumor resection. Conclusions: This study suggest that the 7 TAAs autoantibody panel can be used to aid diagnosis of lung cancer, and show a significantly improving sensitivity in patients with early stage lung cancer when comparing with the combination of CEA, NSE and CYFRA21-1. Clinical trial information: Z 14-5106.