Molecular marker combination for predicting prognosis condition of cervical cancer patient and application of molecular marker combination
A technology of cervical cancer and molecular markers, which is applied in the field of molecular marker combinations to predict the prognosis of patients with cervical cancer, can solve the problems of incompletely clear pathogenesis of cervical cancer and no effective molecular markers for diagnosis and treatment of cervical cancer, etc. Achieve the effect of early intervention, early treatment, good accuracy and specificity
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[0054] Construction of prognostic risk prediction model for cervical cancer
[0055] 1. Data download and arrangement
[0056] The gene expression data of cervical cancer samples and normal samples, as well as the clinical information data corresponding to cervical cancer patients, were downloaded from the TCGA database, including 306 cancer tissue samples and 3 normal tissue samples as a training set.
[0057] NRGs (hsa04217) were downloaded from KEGG (Kyoto Encyclopedia of Genes and Genomes), and combined with literature reports, 211 NRGs were finally included for subsequent analysis. Use the perl script to extract the expression data of NRGs from the training set expression profile data, and normalize the gene expression data to obtain the NRGs expression matrix; use the R package limma to analyze the differential expression of NRGs in the training set, with P2 was used as the cutoff value for screening differential genes, and finally a total of 17 differentially expressed ...
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