Kit for detecting mutation of lung adenocarcinoma cell cycle progress pathway related genes

Abstract

The invention relates to the technical field of molecular diagnosis, in particular to a composition for detecting mutation of lung adenocarcinoma cell cycle progress pathway related genes (CDKN2A, CCND1, CCNE1, CDK4 and RB1) and application of the composition, and the composition is composed of reagents for detecting the expression quantity of the related genes. RNA sequencing, LASSO and binary classification Logistic regression are applied to screen genes related to the cell cycle progress pathway, a score Score is constructed, a cut-off value corresponding to the Score in the lung adenocarcinoma is obtained through ROC analysis, and the method can be used for predicting mutation of the lung adenocarcinoma cell cycle progress pathway related genes. The specific gene mutation of the lung adenocarcinoma is predicted by using the expression quantity of the gene composition, and verification shows that the prediction method has the advantages of high accuracy and good specificity, and has a good application prospect.

Description

technical field [0001] The invention relates to the technical field of molecular diagnosis, in particular to a kit for detecting gene mutations related to the cycle progression pathway of lung adenocarcinoma cells and its application. Background technique [0002] As the most common malignant tumor, lung cancer has the highest mortality rate among all tumors in the world. Lung adenocarcinoma is the most common subtype of lung cancer, accounting for more than 40% of lung cancer cases. The emergence of various targeted drugs against lung adenocarcinoma has significantly improved the prognosis of patients with lung adenocarcinoma, and the treatment of lung adenocarcinoma has entered the molecular era. How to accurately assess the molecular characteristics of lung adenocarcinoma is of great significance for the precise treatment of patients and the reduction of social burden. [0003] Maintaining persistent proliferative signals is one of the tumor markers and is of great sign...

AI Technical Summary

Problems solved by technology

At present, the detection of gene mutations related to the cycle progression pathway of lung adenocarcinoma cells is not a routine clinical item, and the detection alone is expensive. There may still be detection methods with both accuracy and application value that can be applied to the formulation of individualized treatment plans for patients with lung adenocarcinoma

[0004] There is no report about a kit of the present invention for detecting gene mutations related to the cycle progression pathway of lung adenocarcinoma cells

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