Gene marker, kit and detection method for detecting pancreas cancer
A gene marker and pancreatic cancer technology, applied in the field of clinical molecular diagnosis of pancreatic cancer, can solve the problems of low sensitivity and specificity of pancreatic cancer, difficulty in widespread and routine application, and difficulty in diagnosing pancreatic tumors, so as to achieve easy dynamic monitoring, High sensitivity and specificity, easy recurrence and metastasis effect
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Embodiment 1
[0026] Example 1. Screening of pancreatic cancer gene markers
[0028] 10 ng of plasma DNA was extracted from samples from 20 pancreatic cancer patients and 20 normal individuals. This step can be carried out using any methods and reagents suitable for extracting plasma DNA well known to those skilled in the art.
[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...
Embodiment 2
[0049] Example 2. Effectiveness of Pancreatic Cancer Gene Markers
[0050] This example verifies the effectiveness of the pancreatic cancer gene markers of the present invention in detecting pancreatic cancer.
[0051] The 5-hmC content of the 10 pancreatic cancer gene markers described in the present invention in the first batch of 82 samples (41 cases of pancreatic cancer and 41 cases of healthy controls) was determined according to the method of Example 1.
[0052] 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:
[0053]
[0054] If P>0.5, the subject sample has pancreatic cancer; if P≤0.5, the subject sample is normal.
[0055] figure 1 The results ...
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