Reagent kit for detecting hotspot mutation of lung cancer related gene and application of reagent kit

Abstract

The invention discloses a reagent kit for detecting hotspot mutation of a lung cancer related gene and an application of the reagent kit. The invention relates to an application of a protection primer pair group (sequence 1 to sequence 28) and a readable vector recording 'a method for detecting mutation occurrence of the lung cancer related gene of a person to be detected' in preparing the reagent kit for detecting the mutation of the lung cancer related gene. The kit takes plasma as a detection specimen; 14 pairs of specific primers are designed for the lung cancer related gene (an ALK gene, a BRAF gene, an EGFR gene and a KRAS gene); with the adoption of a high-throughput sequencing detection method, the detection data size is increased; the experimental result accuracy is improved; the mutation of the lung cancer related gene can be accurately and effectively monitored; the sensitivity of the detection method is 0.05%.

Description

technical field [0001] The invention belongs to the field of biomedicine, and relates to a kit for detecting hot spot mutations of lung cancer-related genes and an application thereof. Background technique [0002] Lung cancer is one of the malignant tumors with the fastest increasing morbidity and mortality and the greatest threat to the health and life of the population. With the continuous improvement of medical diagnostic technology, especially molecular diagnostic technology, new genes targeting lung cancer are constantly being discovered, and new targeted drugs based on driver genes are constantly emerging. Precision treatment of lung cancer has become a hot spot of attention. [0003] Hotspot mutations of lung cancer-related genes (ALK, BRAF, EGFR, KRAS, and NRAS) include the following: hotspot mutations of ALK gene, involving 1151Tins, L1152R, C1156Y, F1174La, L1196M, G1202R, S1206Y, G1269A, etc.; hotspot mutations of BRAF gene , V600E; hotspot mutations in EGFR gen...

AI Technical Summary

Problems solved by technology

[0010] The sensitivity of these technologies is not high, and the specificity of detection is poor, which cannot meet the needs of lung cancer detection.

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