Biomarker spectrum-based lung cancer risk prediction model for Chinese rural residues suffering from pulmonary nodules

Abstract

The invention discloses a biomarker spectrum-based lung cancer risk prediction model for Chinese rural residues suffering from pulmonary nodules. The lung cancer risk prediction model is composed of biomarkers and enzyme-labeled antibodies thereof, a carbonate buffer solution with the pH value of 9.6, a phosphate buffer solution with the pH value of 7.4, serum protein diluent, a stop solution, a tetramethyl benzidine substrate solution, normal human serum and positive control serum. The biomarkers comprise gastrin releasing propeptide, a carcino-embryonic antigen, fragments of cytokeratin 19 and a squamous cell carcinoma antigen and are combined with other clinical indexes. The lung cancer risk prediction model can assist in lung cancer screening.

Description

technical field [0001] The invention relates to the field of biotechnology, in particular to a lung cancer risk prediction model for Chinese rural population with pulmonary nodules based on biomarker spectrum. Background technique [0002] Lung cancer is the most common and deadly cancer worldwide. The morbidity and mortality of lung cancer rank first among all malignant tumors in my country. According to the statistics of The International Agency for Research on Cancer (IARC) of the World Health Organization, the incidence of lung cancer in my country in 2008 was 35 per 100,000 people, and the agency estimated that by 2025, there will be 1 million new cases of lung cancer in my country every year . According to the 2010 Health Statistical Yearbook of the Ministry of Health, as of 2009, the national lung cancer mortality rate was 30.83 / 100,000 people, which was higher than the second highest mortality rate of liver cancer by more than 4 / 100,000 people. Although the 5-year ...

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Problems solved by technology

However, among the vast rural population in my country, it is difficult to carry out large-scale CT screening in a short period of time. As a result, when lung cancer is diagnosed, it is already in the middle and advanced stages of lung cancer, and the chance of radical surgery has been lost.

There is no report about the lung cancer risk prediction model of the present invention based on the biomarker spectrum for Chinese rural population with pulmonary nodules

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