Lung cancer detection test strip, kit and using method of lung cancer detection test strip or kit
A technology for detecting test strips and test strips, which is applied in the field of biomedicine to achieve the effects of ease of use, high diagnostic reliability, and simple and easy detection.
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Embodiment 1
[0044] The kit tests saliva or sputum. It uses an antibody attached (“free” GM1 capture antibody, figure 1 The snap bar for the first dark patch from the middle left). The antibody captures GM1 and is labeled with the relevant enzyme for detection, typically horseradish peroxidase or alkaline phosphatase, which cause a color change. The left end of the adsorption strip is attached with dry "free" GM1 capture antibody, adding the analyte solution can make the antibody diffuse on the adsorption strip through capillary action.
[0045] In a set area, these antibodies and the detection area ( figure 1 The second dark block from the middle left), these GM1 capture antibodies are immobilized to the test strip. The antibody in the detection zone has no associated enzyme and it recognizes a different epitope than the GM1 capture antibody, so it will bind to GM1, forming a sandwich zone containing the GM1 capture that is "free" by the immobilized GM1 detection antibody - GM1 Antibo...
Embodiment 2
[0050] In this embodiment, a new type of test strip improved on Embodiment 1 is provided. The attached GM1 detection antibody is replaced by the attached GM-TAG protein. The binding site of GM-TAG to the GM1 molecule is different from that of the "free" GM1 capture antibody. Therefore, there is no competition for the capture position of GM1. This will enhance the sensitivity of the GM-TAG, GM1-GM1 capture antibody sandwich region. Otherwise, the two tools are identical, including positive controls and the correlation of color intensity with GM1 content and lung cancer risk.
experiment example
[0052] The technology has been tested using samples from the UK and China. Among them, there were 67 British samples, including 33 healthy control samples. The remaining 34 included lung and non-lung cancer patients. Using our method, the overall diagnostic accuracy for lung cancer / non-lung cancer reached 80%. A total of 50 Chinese samples were collected, including 15 healthy control samples. Using our method, by comparing with the confirmed markers, the diagnostic accuracy of lung cancer / non-lung cancer also reached 80% level. Remarkably, small cell carcinoma was diagnosed with 100 percent accuracy in these samples.
[0053] Case 1: A 45-year-old male patient told the doctor that he had severe cough, shortness of breath and fever. Doctors found that he smoked an average of 20 cigarettes a day, and asked him to provide a sputum sample, which was tested using the invented method. Doctors can diagnose the patient. Using this technology, the entire diagnostic cycle is less ...
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