Gene marker for early cervical cancer screening and product and application thereof
A gene marker, cervical cancer technology, applied in the application field of early cervical cancer screening, can solve the problems of low sensitivity, low accuracy, reduction of cervical cancer incidence and mortality, and achieve high sensitivity and specificity. , the results are accurate and reliable, and the effect of good diagnostic efficiency
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Embodiment 1
[0058] Example 1 Screening for differentially expressed genes in cervical cancer
[0059] 1. Data source
[0060] The data used in this study are all from the Gene Expression Omnibus (GEO) database, with "cervical cancer" as the search keyword, searching in the GEO database, excluding studies at the cell line or animal level, and single-sample studies After the research, two sets of data sets were included, namely GSE63514 and GSE39001;
[0061] Among them, GSE63514 comes from the GPL570 platform, which contains 28 tissue samples of cervical cancer patients and 24 normal tissue samples; There are 43 tissue samples of cervical cancer patients and 12 normal tissue samples, and the data from GPL6244 contains 19 tissue samples of cervical cancer patients and 5 normal tissue samples;
[0062] The above-mentioned dataset GSE63514 downloaded from the GEO database is used as a training set, and the sample size is Case: Normal=28:24; the above-mentioned dataset GSE39001 downloaded fr...
Embodiment 2
[0073] Example 2 Verification of gene SPRR2B and CLU diagnostic efficacy
[0074] 1. Experimental method
[0075] For the genes SPRR2B and CLU differentially expressed in cervical cancer screened in Example 1, use the R package "pROC" (version 1.15.0) to perform receiver operating characteristic (ROC) analysis, and calculate the area under the curve (AUC) to To evaluate the accuracy, sensitivity and specificity of gene SPRR2B, gene CLU, and gene SPRR2B+CLU combination in the training set and validation set for the diagnosis of cervical cancer, respectively. AUC values range from 0 to 1, where 0.7 is acceptable performance and 0.9 is excellent performance;
[0076] When judging the diagnostic efficacy of individual indicators in the training set and verification set, the expression of the gene is directly used for analysis, and the level corresponding to the point with the largest Youden index is selected as its cutoff value, and the genes with AUC of 0.5<AUC<0.8 are used c...
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