AI Article Synopsis
- - Ovarian cancer is a prevalent form of cancer among women, but effective non-invasive diagnostic tests for malignant pelvic masses are lacking.
- - Researchers analyzed plasma microRNA from two groups of patients (malignant vs. benign) using a panel of 46 candidates and identified six key microRNAs associated with ovarian cancer.
- - The combination of two specific microRNAs (miR-200c-3p and miR-221-3p) with the biomarker CA-125 resulted in a high diagnostic accuracy, suggesting these microRNAs could improve ovarian cancer detection.
Article Abstract
Background: Ovarian cancer is the fifth most common cancer in women worldwide. Moreover, there are no reliable minimal invasive tests to secure the diagnosis of malignant pelvic masses. Cell-free, circulating microRNAs have the potential as diagnostic biomarkers in cancer. Here, we performed and validated a miRNA panel with the potential to distinguish OC from benign pelvic masses.
Methods: The profile of plasma microRNA was determined with a panel of 46 candidates in a discovery group and a validation group, each consisting of 190 pre-surgery plasma samples from age-matched patients with malignant (n = 95) and benign pelvic mass (n = 95), by real time RT-qPCR.
Results: Four up-regulated (miR-200c-3p, miR-221-3p, miR-21-5p, and miR-484) and two down-regulated (miR-195-5p and miR-451a) microRNAs were discovered. From those, miR-200c-3p and miR-221-3p were further confirmed in a validation cohort. A combination of these 2 microRNAs together with CA-125 yielded an overall diagnostic accuracy of AUC = 0.96.
Conclusions: We showed consistent plasma microRNA profiles that provide independent diagnostic information of late stage OC.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6860451 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0225249 | PLOS |
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