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Dataset Information

Discovery and validation of novel biomarkers for detection of cervical cancer.


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