Marker joint detection model for diagnosis of lung cancer
A technology for lung cancer and human detection, applied in the medical field, can solve problems such as unsatisfactory diagnostic performance, reduce economic burden and psychological pressure, improve identification ability, 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 autoantibody; Cancer / testisantigen 1 autoantibody; Alpha enolase autoantibody) in samples from healthy controls and lung cancer patients Antibody; 14-3-3protein theta autoantibody; AnnexinA1 autoantibody; PGP 95 autoantibody; Cellular tumor antigen p53 autoantibody) serum levels. The 316 candidates (176 lung cancer patients, 140 healthy people) who participated in this study were randomly divided into two groups for the screening, establishment and verification of diagnostic marker combinations.
[0044] Inclusion criteria for lung cancer patients: (a) no history of other malignant tumors, (b) surgical treatment within one month after blood collection, and patholog...
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