Reagent, kit and method for detecting mutations of genes related to lung squamous cell carcinoma anti-oxidative stress driving pathway
A technology related to anti-oxidative stress and pathways, applied in biochemical equipment and methods, microbial measurement/inspection, etc., to achieve the effects of high accuracy, economical benefits, and avoiding waste of medical resources
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Embodiment 1
[0031] Construction of scoring model for gene mutations related to antioxidant stress-driven pathways in lung squamous cell carcinoma
[0032] Methods: Firstly, the data of 484 lung squamous cell carcinoma samples were obtained from the TCGA database, and the samples were divided into mutation groups (n=143) and In the wild group (n=341), the expression data of the transcriptome RNA expression profiles of the coding proteins of 484 samples were expressed in [log 2 (FPKM+1) format] Lasso regression analysis was performed to obtain genes significantly related to the mutation status of genes related to the antioxidant stress pathway, and finally 12 genes were selected: SRXN1, TRIM16L, CYP4F3, DIRAS2, C18orf65, NR0B1, LURAP1 , ABCC2, FECH, NQO1, BLOC1S4, TXNRD1.
[0033]In addition, continue to construct the scoring model RiskScore=(0.2817×SRXN1)+(0.0219×TRIM16L)+(0.0361×CYP4F3)+(0.012×DIRAS2)+(0.0229×C18orf65)+(0.0497×NR0B1)+( -0.2434×LURAP1)+(0.0434×ABCC2)+(0.106×FECH)+(0.0532...
Embodiment 2
[0040] Example 2: Effect Verification
[0041] RNA sequencing was performed on 30 cases of lung squamous cell carcinoma samples collected from the Department of Thoracic Surgery, Zhongshan Hospital Affiliated to Fudan University, and the mutations of genes related to the antioxidant stress pathway (KEAP1, NFE2L2, CUL3) were detected. The RNA expression data were brought into the prediction model to obtain each For the RiskScore score of the samples, those whose scores are higher than the cutoff value of 5.014 are the mutant group, and those whose scores are lower than the cutoff value of 5.014 are the wild group.
[0042] The experimental results are shown in Table 1:
[0043] Table 1 Experimental data
[0044] mutant group wild group total Score ≥ 5.014 7 2 9 Score 1 20 21 total 8 22 30
[0045] In summary, the sensitivity of the prediction model in the case cohort of Zhongshan Hospital is 0.875, and the specificity is 0.910.
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