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

A technology related to lung adenocarcinoma cells and pathways, applied in the field of kits for detecting gene mutations related to cycle progression pathways of lung adenocarcinoma cells, can solve the problems of expensive detection, achieve good sensitivity and specificity, avoid waste of medical resources, The effect of high accuracy

Active Publication Date: 2021-07-23
ZHONGSHAN HOSPITAL FUDAN UNIV
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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 t...

Method used

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

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Embodiment 1

[0024] Example 1 Construction of scoring model for gene mutations related to cycle progression pathways in lung adenocarcinoma cells

[0025] 1. Method

[0026]We first obtained the data of 510 lung adenocarcinoma samples from the TCGA database, and divided the samples into mutation group (n=57) and wild group ( n=453), and then calculated and screened out 656 differential genes. By performing LASSO regression analysis on the expression data [log2(FPKM+1) form] of the above 656 differential genes in 510 samples, we obtained genes that were significantly related to the mutation status of genes related to cell cycle progression pathways, and finally selected 35 The genes are: GFRA3, IGF2, CST2, PADI2, PLA2G12B, LRP4, DLX3, TRIM17, MYOZ1, FFAR2, CNIH2, ZNF713, GBP6, FGF9, CAMK2N2, EYA1, CRISP3, FBXO43, LIPK, PAGE5, TAF7L, SV2B, FER1L5, KIR2DL1, ASB11, C10orf82, ASTN1, NXPH1, GCG, PLA2G2F, MAGEB16, TMEM151B, CHRM2, CALML5, ZACN.

[0027] Construct scoring model by binary logist...

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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...

Claims

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Application Information

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IPC IPC(8): C12Q1/6886
CPCC12Q1/6886C12Q2600/156C12Q2600/158
Inventor 单光耀毕国澍卞赟艺姚光宇张毅薛亮詹成范虹
Owner ZHONGSHAN HOSPITAL FUDAN UNIV
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