High-flux detection method of circulating tumor DNA lung cancer driver gene

Abstract

The invention discloses a high-flux detection method of a circulating tumor DNA lung cancer driver gene. According to the method, a mutant gene which is the most common of the existing lung cancer isselected, and combined with a second generation high-flux sequencing technology to more comprehensively detect the gene mutation condition of the lung cancer. Since a blood plasma sample of a patientis collected, the method can greatly reduce the detection injury of the patient; secondly, since the whole-exome detection is performed on 22 lung cancer genes, so that the method is more comprehensive compared with the detection method based on real-time PCR and first-generation Sanger sequencing technology; and since only 22 genes are detected, the sample can be detected in a greater sequencingdepth, so that the detection precision can reach 0.1 percent. Therefore, a reference can be provided for more and better individual precision therapeutic schemes of the patient.

Description

technical field [0001] The invention relates to a high-throughput detection method for driving genes in circulating tumor DNA, in particular to a detection method for lung cancer gene mutations. Background technique [0002] Lung cancer is the most common malignant tumor worldwide, and its morbidity and mortality rank first among all cancers. Every year, more than 1.3 million patients die of lung cancer worldwide, nearly half of which occur in developing countries. According to the statistics of the Ministry of Health of my country in 2010, the mortality rate of lung cancer was 30.83 / 100,000, and lung cancer has become the malignant tumor with the highest morbidity and mortality. Lung cancer can be divided into two types based on histopathology: small cell carcinoma (SCLC) and non-small cell lung cancer (NSCLC), among which non-small cell carcinoma accounts for about 85% of severe cases of lung cancer. The 5-year survival rate of lung cancer patients in my country is only ...

AI Technical Summary

Problems solved by technology

Based on the detection of tumor tissue samples, there are two problems: 1. Most of the tumor tissue comes from biopsy techniques, namely puncture and biopsy forceps biopsy, which will bring great pain to the patient and is an invasive detection; 2. For some advanced For patients who cannot undergo puncture or surgery, it is difficult to obtain patient samples, so it is difficult to carry out targeted drugs for patients based on the test results

Therefore, a problem arises that more treatment options require more samples from patients

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