A detection method and application of lung cancer gene

Abstract

The invention discloses a detection method and an application of lung cancer genes. According to the application, the detection method comprises the following steps: constructing a cfDNA library, and conducting hybrid capturing on the cfDNA library by virtue of 12659 probes which are designed in accordance with 105 lung cancer associated genes, sequencing the genes by virtue of a computer, and conducting data analysis on a sequencing result, so that comprehensive and accurate lung cancer gene information is obtained. According to the application, the detection method can implement with a small amount of peripheral blood, so that noninvasive detection is actually achieved. The detection method disclosed by the invention, by capturing, sequencing and analyzing important lung cancer genes in ctDNA, can be used for screening lung cancer in the early stage; therefore, related medication gene mutation information is provided for patients with the lung cancer, and an important reference is provided for the early diagnosis of the lung cancer, personalized accurate medication guidance, effectiveness evaluation and prognosis dynamic monitoring.

Description

technical field [0001] The present application relates to the field of gene detection, in particular to a method for detecting genes related to lung cancer and its application. Background technique [0002] Lung cancer is the most common primary malignant tumor of the lung. The vast majority of lung cancers originate from the bronchial mucosal epithelium, so it is also called bronchial lung cancer. Over the past 50 years, the morbidity and mortality of lung cancer have risen rapidly in countries all over the world, especially in industrialized countries, and lung cancer has ranked first among male patients who died of cancer. Lung cancer is the malignant tumor with the highest morbidity and mortality rate in the world. The 5-year survival rate is only 16.8%. Every year, 1.6 million new lung cancer patients are diagnosed. Lung cancer is also the leading cause of death of cancer patients, and 1.4 million people die of lung cancer. In 2015, the American Cancer Society (ACS) e...

AI Technical Summary

Problems solved by technology

[0009] To sum up, the existing detection methods for lung cancer have the following defects and deficiencies: first, traditional detection methods cannot detect relevant symptoms in the early stage of lung cancer; second, the existing detection methods based on lung cancer genes usually require relatively high The initial amount of library construction, sequencing sensitivity and accuracy are relatively low; third, the existing panels for lung cancer gene detection on the market do not cover all genes, and the capture of lung cancer-related genes is very small, and many important genes will be missed. Gene mutation information, or covering some genes that are not very related to lung cancer, cannot fully and effectively reflect the mutations of lung cancer and lung cancer-related genes

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