Discovery of candidate gene expression signatures in peripheral blood for the screening of cervical cancer.
Qiuling MaYong ShaoWei ChenCheng QuanYanhui ZhuXiaohong XuZhe ZhouShengqi WangPublished in: Biomarkers in medicine (2020)
Aim: To investigate whether cervical cancer (CC) and cervical intraepithelial neoplasia (CIN) can be screened by analyzing gene expression profiling of peripheral blood. Methods: RNA-sequencing analysis of blood was performed on 11 CC patients, 21 CIN patients and 19 healthy controls (H). Fifty-nine genes were validated by quantitative real-time PCR using blood samples from 46 H, 83 CC and 32 CIN patients. Results: There were significant differences in the expression levels of six genes between CC and H, five genes between CIN and H and four genes between CC and CIN (p < 0.05). Four genes discriminated cervical lesions from H with a sensitivity of 82.61%, a specificity of 87.83% and an area under the curve of 0.8981. Three genes discriminated CC from CIN with a sensitivity of 53.13%, a specificity of 96.39% and an area under the curve of 0.7786. Conclusion: Our findings provided a promising noninvasive quantitative real-time PCR diagnostic assay of CC and CIN.
Keyphrases
- genome wide
- end stage renal disease
- peripheral blood
- gene expression
- genome wide identification
- newly diagnosed
- ejection fraction
- real time pcr
- dna methylation
- peritoneal dialysis
- prognostic factors
- small molecule
- bioinformatics analysis
- high grade
- poor prognosis
- mass spectrometry
- high throughput
- patient reported outcomes