A set of signature proteins used to detect lung cancer
A characteristic protein, lung cancer technology, applied in the field of malignant tumor detection, to achieve high sensitivity and specificity, reasonable and feasible design, prolong life effect
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Embodiment 1
[0034] Example 1 Establishment of lung cancer mass spectrometry model
[0035] 1. Samples and instruments:
[0036] Serum samples were selected from 94 cases, of which 60 were from lung cancer patients and the other 34 were from healthy people. The lung cancer patients were all confirmed by postoperative pathological reports. All serum samples were drawn in the morning on an empty stomach, and the serum was separated and stored in a -80 low-temperature refrigerator.
[0037] Matrix-assisted laser desorption time-of-flight mass spectrometry AutoflexIITOF / TOF and WCX magnetic bead kit for experiments were developed by Bruker Company of the United States. The data analysis software Clinprotools of Bruker Company was used to preprocess the data, and the processed data was processed by the genetic algorithm package genalg of the statistical analysis software R2.6.2.
[0038] 2. Technical route:
[0039] Serum collection: Collect venous blood in BD tubes to avoid hemolysis. Slow...
Embodiment 2
[0076] Example 2 Establishment of Lung Cancer Protein Detection Model and Detection of Lung Cancer
[0077] 148 serum samples were selected, 94 of which were used for model training, 60 of the 94 samples were from lung cancer patients, and the other 34 were from healthy people; the remaining 54 were used for model testing, and 44 of the 54 samples were from Lung cancer patients, the other 10 cases were from healthy people; lung cancer patients were confirmed by postoperative pathology report. All serum samples were drawn in the morning on an empty stomach, and the serum was separated and stored in a -80 low-temperature refrigerator.
[0078] The mass spectrum model of lung cancer protein was established by using the lung cancer characteristic protein peaks screened in Example 1. The model is determined to use 7 input variables, namely: 4054m / z, 2273m / z, 4091m / z, 3955m / z, 3192m / z, 3884m / z, 5337m / z.
[0079] After the model was established, 94 samples were used for training, t...
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