Evaluation of Circulating microRNAs as Non-Invasive Biomarkers in the Diagnosis of Ovarian Cancer – A Case-Control Study [post]

Kai Berner, Marc Hirschfeld, Daniela Weiß, Gerta Rücker, Jasmin Asberger, Andrea Ritter, Claudia Nöthling, Markus Jäger, Ingolf Juhasz-Böss, Thalia Erbes
2020 unpublished
Background Ovarian cancer is the seventh most frequent form of malignant diseases in women worldwide and over 150.000 women die from it every year. More than 70 percent of all ovarian cancer patients are diagnosed at a late stage disease with poor prognosis necessitating the development of sufficient screening biomarkers. MicroRNAs displayed promising potential as early diagnostics in various malignant diseases including ovarian cancer. The presented study aimed at identifying single microRNAs
more » ... nd microRNA combinations detecting ovarian cancer in vitro and in vivo.Methods Intracellular, extracellular and urinary microRNA expression levels of twelve microRNAs (let-7a, let-7d, miR-10a, miR-15a, miR-15b, miR-19b, miR-20a, miR-21, miR-100, miR-125b, miR-155, miR-222) were quantified performing quantitative real-time-PCR. Therefore, the three ovarian cancer cell lines SK-OV-3, OAW-42, EFO-27 as well as urine samples of ovarian cancer patients and healthy controls were analyzed.Results MiR-15a, miR-20a and miR-222 showed expression level alterations extracellularly, whereas miR-125b did intracellularly across the analyzed cell lines. MicroRNA expression alterations in single cell lines suggest subtype specificity in both compartments. Hypoxia and acidosis showed scarce effects on single miRNA expression levels only. Furthermore, we were able to demonstrate the feasibility to clearly detect the 12 miRNAs in urine samples. In urine, miR-15a was upregulated whereas let-7a was down-regulated in ovarian cancer patients.Conclusion Intracellular, extracellular and urinary micoRNA expression alterations emphasize their great potential as biomarkers in liquid biopsies. Especially miR-15a and let-7a qualify for possible circulating biomarkers in liquid biopsies of ovarian cancer patients.
doi:10.21203/rs.3.rs-28389/v1 fatcat:ww5kle7y7vgpfaj6dgi32t4wd4