Identified genes were further validated by quantitative real-time PCR and receiver operating characteristic (ROC) curves, and the highest Youden index was calculated in order to evaluate cutoff points (COPs) that allowed distinguishing of tissue samples of cervical squamous carcinoma patients from those of healthy individuals. Based on the results of principal component analysis (PCA), only eight samples are qualified for further studies GO and KEGG were used to identify the key genes and were compared with TCGA and GEO datasets. Total RNA isolated from biopsies was subjected to microarray analysis using the human Clariom D Affymetrix platform. To identify the dysregulated genes (DEGs), we have retrospectively collected 10 biopsies, seven from cervical cancer patients and three from normal subjects who underwent a hysterectomy. The identification of dysregulated genes in clinical samples of cervical cancer may pave the way for development of better prognostic markers and therapeutic targets. Cervical cancer is one of the most malignant reproductive diseases seen in women worldwide.
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