TITLE:
Investigation of Combining Serum Tumor Biomarkers and Clinical Features for Elderly Lung Cancer Diagnosis and Classification
AUTHORS:
Yingxuan Tian, Min Yu, Li Sun, Xiaoping Ren, Weifeng Liang, Wenli Shang, Shufen Huo, Linghua Liu, Yajuan Ren, Hongxia Wen, Zhuo Yang, Shenghong Wei, Cairong Wang
KEYWORDS:
Lung Cancer; Tumor Biomarkers; Diagnostic Models
JOURNAL NAME:
Journal of Cancer Therapy,
Vol.5 No.2,
February
10,
2014
ABSTRACT:
To evaluate the diagnosis model of serum tumor biomarker and several
clinical features diagnose and classification for lung cancer, the solid protein chip technology (C-12) was used to detect the
biomarkers of SF, CEA, CA242, NSE, CA125, CA19-9 and CA15-3 in serum and
several clinical features of tumors and benign disease in elderly lung cancer
patients were collected. Set up a discriminating analysis as a function
diagnostic model in clinical elderly lung cancer diagnosis and sub-type
discrimination. In combination of 2 obvious clinical indicators
and 2 serum markers, it is possible to provide a diagnosis tool for lung
cancer. With the help of mathematic model, it is promising to reduce the
misjudgment risk based on the previous experience and therefore establish a
reliable diagnosing function. This model is simple, cost-effective and easy to
adapt in practice, and can also be used in screening of large population.