Gene marker, kit and method for detecting lung cancer
A technology for gene markers and lung cancer, which is applied in the field of gene markers for detection of lung cancer, can solve the problems of low sensitivity and specificity, difficulty in widespread and routine application, and difficulty in guaranteeing accuracy in early lung cancer, so as to achieve easy recurrence and metastasis, Easy dynamic monitoring, high accuracy effect
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Embodiment 1
[0026] Example 1. Screening of lung cancer gene markers
[0028] 10 ng of plasma DNA was extracted from the samples of 20 lung cancer patients and 20 normal persons, and this step could be performed using any methods and reagents known to those skilled in the art that are suitable for extracting plasma DNA.
[0029] 2) End-fill the plasma DNA, overhang A and connect with the sequencing adapter:
[0030] Prepare a reaction mixture containing 50uL plasma DNA, 7uL End Repair & A-Tailing Buffer and 3uL End Repair & A-Tailing Enzyme mix according to the Kapa Hyper Perp Kit instructions (the total volume is 60uL), incubate at 20°C for 30 minutes, and then incubate Incubate at 65°C for 30 minutes. Prepare the following ligation reaction mixture in a 1.5mL low adsorption EP tube: 5uL Nuclease free water, 30uL Ligation Buffer and 10 uL DNA Ligase. Add 5uL of sequencing adapters to 45uL ligation reaction mixture, mix, heat at 20°C for 20 minutes, then ...
Embodiment 2
[0047] Example 2. Effectiveness of Gene Markers for Lung Cancer
[0048] This example verifies the effectiveness of the lung cancer gene markers of the present invention for detecting lung cancer.
[0049] According to the method of Example 1, the 5-hmC content of the 10 lung cancer gene markers described in the present invention in the first batch of 80 samples (40 cases of lung cancer and 40 cases of healthy controls) was determined.
[0050] The standardized 5-hmC content of each gene marker is multiplied by the corresponding weighting coefficient of the marker in Example 1 to obtain the predictor t of the gene marker, and then the predictor t of each gene marker is added to obtain The total predictor T, and then the total predictor T is transformed according to the following formula to obtain the score P:
[0051]
[0052] If P>0.5, the subject sample has lung cancer; if P≤0.5, the subject sample is normal.
[0053] figure 1 The results of differentiating the batch o...
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