A combined biomarker pattern improves the discrimination of lung cancer

作者：Liu, Liyun; Liu, Jifu; Wang, Yinping; Dai, Songwei; Wang, Xiaomin; Wu, Shanshan; Wang, Jianing; Huang, Lingyun; Xiao, Xueyuan; He, Dacheng^*

来源：Biomarkers, 2011, 16(1): 20-30.

DOI：10.3109/1354750X.2010.521257

• SELDI
• lung cancer
• biomarker
• TTR
• SAA

A total of 227 sera were analysed using surface-enhanced laser desorption/ ionization time-of-flight mass spectrometry (SELDI-TOF MS) to find novel serum biomarkers for lung cancer. The results showed that the 11.53, 11.70, 13.78, 13.90 and 14.07 k m/z peaks identified as native serum amyloid A (SAA), SAA with N-terminal Arg cleaved, native transthyretin (TTR) and its two variants significantly differentiated lung cancer sera from normal control sera (p <0.01). A 'biomarker pattern' combining SAA and TTR was tested to distinguish lung cancer patients from normal control individuals, and the diagnostic positive rate of lung cancer was improved to 91.6%.

• 出版日期2011-2
• 单位北京师范大学; 中国疾病预防控制中心; 中国疾病预防控制中心传染病预防控制所; 吉林大学