A combined detection model of markers for the diagnosis of lung cancer
A lung cancer and human detection technology, applied in the medical field, can solve problems such as unsatisfactory diagnostic performance, reduce economic burden and psychological pressure, improve accuracy, high sensitivity and specificity
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[0041] Example 1. Determination and application of the best diagnostic combination of four biomarkers for lung cancer
[0042] 1. Research population
[0043] Measurement and statistical analysis of carcinoembryonic antigen (CEA), cancer antigen 125 (CA125) and seven autoantibodies (Fructose-bisphosphate aldolase A autoantibodies; Cancer / testisantigen 1 autoantibodies; Alpha enolase autoantibodies) in samples from healthy controls and lung cancer patients Serum levels of antibodies; 14-3-3 protein theta autoantibodies; AnnexinA1 autoantibodies; PGP 95 autoantibodies; Cellular tumor antigen p53 autoantibodies). The 316 candidates (176 lung cancer patients, 140 healthy people) enrolled in this study were randomly divided into two groups for the screening, establishment and validation of the diagnostic marker combination.
[0044] Inclusion criteria for lung cancer patients: (a) no history of other malignant tumors, (b) surgical treatment within one month after blood collection,...
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