COMPLEX BIOMARKER GROUP FOR DETECTING LUNG CANCER IN A SUBJECT LUNG CANCER DIAGNOSTIC KIT USING THE SAME METHOD FOR DETECTING LUNG CANCER USING INFORMATION ON COMPLEX BIOMARKER AND COMPUTING SYSTEM EXECUTING THE METHOD

摘要

The present invention relates to a complex biomarker group for diagnosing lung cancer in a subject, a lung cancer diagnosis kit using the same, a lung cancer diagnosis kit, and a method for using information of a complex biomarker group for diagnosing lung cancer in a subject. According to the present invention, an individual biomarker CEA (Carcinoembryonic antigen), HE4 (human epididymis protein 4), ApoA2 (Apolipoprotein A-II), TTR (Transthyretin) vascular cell adhesion molecule-1) and RANTES (regulated on activation, normal T cell expressed and secreted; There is provided a lung cancer diagnostic kit comprising antibodies specifically binding to a group of biomarkers for lung cancer diagnosis including chemokine (CC motif) ligand 5}, individual biomarkers CEA, HE4, ApoA2, TTR, sVCAM-1 and RANTES . According to the present invention, there is also provided a kit for lung cancer diagnosis, comprising: at least six receiving areas; And at least six biomarker corresponding antibodies each of which is contained in each of the at least six receiving regions and specifically binds to a predetermined individual biomarker, wherein the six or more biomarker corresponding antibodies comprise individual biomarkers CEA, HE4 , ApoA2, TTR, sVCAM-1 and RANTES, respectively. Further, according to the present invention, there is provided a method of detecting a lung cancer, comprising the steps of: (a) providing a computing system with a biomarker expression group of a complex biomarker group for lung cancer, which is measured from a biological sample of a sample group consisting of (1-i) (1-ii) obtaining the expression amount data for each individual biomarker measured from the sample group and the age of the sample group, and preprocessing the expression amount data for each individual biomarker of the sample group (3-i) from the measurement data of the sample population, which is the preprocessed data, or (2-ii) from the measurement data of the sample population and the age of the sample population, Expression data of individual biomarkers of the group of biomarkers for lung cancer diagnosis, measured from the biological sample of the subject, or (3-ii) (B) the computing system preprocesses expression level data for each of the individual biomarkers of the subject, and (4-i) evaluates the expression level of the individual biomarkers of the subject by obtaining the expression level data for each individual biomarker and the age of the subject, (4-ii) determining whether the lung cancer incidence of the subject is determined from the lung cancer determination model using the measurement data and the age of the subject, A method for using information in a complex biomarker group for diagnosis and a computing system for performing the method are also provided.