The Combination of the Tumor Markers Suggests the Histological Diagnosis of Lung Cancer

Author:

Liu Linjie1,Teng Jinlong2,Zhang Lijun1,Cong Peishan1,Yao Yuan1,Sun Guirong1,Liu Zhijun3ORCID,Yu Teng1,Liu Mingjun1ORCID

Affiliation:

1. Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao 266003, China

2. Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao 266003, China

3. Department of Microbiology, Weifang Medical University, Weifang, Shandong 261053, China

Abstract

Tumor markers are beneficial for the diagnosis and therapy monitoring of lung cancer. However, the value of tumor markers in lung cancer histological diagnosis is unknown. In this study, we analyzed the serum levels of six tumor markers (CEA, CYFRA21-1, SCC, NSE, ProGRP, and CA125) in 2097 suspected patients with lung cancer and determined whether the combination of the tumor markers was useful for histological diagnosis of lung cancer. We found that CYFRA21-1 was the most sensitive marker in NSCLC. ProGRP showed a better clinical performance than that of NSE in discriminating between SCLC and NSCLC. The serum level of CYFRA21-1 or SCC was significantly higher in squamous carcinoma (p<0.05), and the levels of ProGRP and NSE were significantly higher in SCLC (p<0.05). According to the criteria established, SCLC and NSCLC were discriminated with sensitivity of 87.12 and 62.63% and specificity of 64.61 and 99.5%, respectively. The sensitivity and specificity in the differentiation of adenocarcinoma and squamous carcinoma were 68.1 and 81.63% and 70.73 and 65.93%, with NPV of 46.03 and 68.97% and PPV of 85.82 and 79.47%, respectively. Our results suggested the combination of six tumor markers could discriminate the histological types of lung cancer.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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