Kit for detecting early stage non-small-cell lung cancer multi-site association genes

Abstract

The invention belongs to the specific gene detection field, and relates to a primer, a probe and a kit of early stage non-small-cell lung cancer multi-site association genes, a preparation method and a detection method. The typing is carried out by aiming at early stage detection of the non-small-cell lung cancer and genotypes of rs2239680, rs16969968, rs12910984and rs2298881 sites in the association genes of EGFR, CHRNA3, CHRNA5 and ERCC1, The combination of four sites is taken as a landmark at early stage diagnosis of non-small-cell lung cancer, and the authenticity and accuracy of the detection are increased. The detected sample has the advantages of short detection period and convenience material acquisition, the high flux large scale detection can be satisfied, and the detection efficiency is increased.

Description

technical field [0001] The invention belongs to the field of specific gene detection, and in particular relates to a primer, a probe, a kit, a preparation method and a detection method of early non-small cell lung cancer multi-locus associated genes. Background technique [0002] Bioinformatics is a powerful tool to unlock the biological meaning contained in biological data through the acquisition, processing, storage, retrieval and analysis of biological experiment data. And with the completion of human genome sequencing and the development of protein and tumor histology, bioinformatics plays a key role in the discovery and identification of human diseases and functional genes, as well as the expression and function research of genes and proteins. Bioinformatics methods combined with biological gene probe technology, through data mining of the whole gene expression profile, successfully distinguish malignant tumors with unclear clinical manifestations or easily misdiagnosed...

AI Technical Summary

Problems solved by technology

If the kits imported from abroad are used, the test sample period is longer, the cost is high, and the material collection is relatively cumbersome, and it cannot be used for high-throughput large-scale detection, and there are many disadvantages

[0006] For the analysis of existing SNP sites, the commonly used methods include large-scale sequencing technology, gene chip technology and TaqMan probe technology, but these technologies have the problems of long cycle and high cost

Although the results of sequencing and chips are relatively reliable, the SNP analysis of individual genes takes a long time and wastes manpower and material resources.

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