Method for judging benignancy and malignancy of pulmonary nodules by blood sample
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A technology for blood samples and pulmonary nodules, applied in the fields of genetic testing, bioinformatics, and mathematical modeling, can solve problems such as relatively large accuracy fluctuations, and achieve the effects of avoiding missed detection, high sensitivity, and avoiding experience errors.
Inactive Publication Date: 2018-12-07
SHENZHEN HAPLOX BIOTECH
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Due to the limitation of doctors' experience, the accuracy of this method fluctuates greatly, and there are a lot of over-detection and missed detection.
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[0026] to combine figure 1 As shown, a method for judging benign and malignant pulmonary nodules through blood samples is judged by using cfDNA polygenic variation combined with machine learning, including the following steps:
[0027] 1. Treat the peripheral blood of 84 patients with pulmonary nodules (48 malignant and 36 benign) and extract the free DNA in the peripheral blood plasma. The cfDNA content in the peripheral blood of cfDNA extraction is very low, so the plasma cfDNA extraction is guaranteed Quality matters. The detailed steps of the cfDNA extraction protocol are as follows: For the extraction and purification of cfDNA from peripheral blood, 10 mL of whole blood is usually used, and the plasma is separated within 3 hours after the blood is obtained. Centrifuge at 16000g for 10min at 4°C, collect the supernatant plasma and transfer it to a 5mL centrifuge tube. It is best to extract DNA immediately from the separated plasma to ensure the integrity of the DNA in th...
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Abstract
The invention discloses a method for judging benignancy and malignancy of pulmonary nodules by a blood sample. Determination is performed through combination of cfDNA polygene variation and machine learning. The method includes the following steps: performing library construction on peripheral blood cfDNA of a pulmonary nodule patient; performing hybrid capture on the cfDNA by utilizing 18 gene capture probes related to a lung cancer; and performing sequencing by utilizing a sequencer, analyzing the cumulative mutation frequency of each of genes, and judging the benignancy and the malignancy of samples by utilizing a logistic regression model. The method can distinguish the benignancy and the malignancy of the pulmonary nodule patient with high sensitivity and high specificity, avoids experience errors of artificial reading CT imaging, and avoids missing detection of a lung cancer and pain of puncture or surgical sampling biopsy of a benign nodule patient.
Description
technical field [0001] The invention relates to the fields of gene detection, bioinformatics, mathematical modeling and the like, and in particular to a method for judging benign and malignant pulmonary nodules through blood samples. Background technique [0002] Lung cancer is a disease that seriously endangers human health. According to the data released by WHO, lung cancer ranks first in the world in terms of incidence and mortality. Recently, the China Cancer Center announced that the annual incidence of cancer in China is 4,291,600 (2,512,100 males, 1,779,500 females), of which the annual incidence of lung cancer is 733,300 (509,300 males, 224,000 females), and the annual death rate The number of cases was 610,200 (432,400 males and 177,800 females), ranking first among tumors in China (Chen et al., 2016). In addition, due to late diagnosis, the 5-year survival rate of lung cancer in my country is only 15.6%. To improve the prognosis of lung cancer, there is also an u...
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