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ABSTRACT: Aims
To investigate novel biomarker for diagnosis of cervical cancer, we analyzed the datasets in Gene Expression Omnibus (GEO) and confirmed the candidate biomarker in patient sample.Materials and methods
We collected major datasets of cervical cancer in GEO, and analyzed the differential expression of normal and cancer samples online with GEO2R and tested the differences, then focus on the GSE63514 to screen the target genes in different histological grades by using the R-Bioconductor package and R-heatmap. Then human specimens from the cervix in different histological grades were used to confirm the top 8 genes expression by immunohistochemical staining using Ki67 as a standard control.Results
We identified genes differentially expressed in normal and cervical ca
SUBMITTER: Li Z
PROVIDER: S-EPMC7957177 | biostudies-literature | 2021 Mar
REPOSITORIES: biostudies-literature