biostudies-literatureZilovic DLithuanian National Cancer institute research fund.868https://www.ebi.ac.uk/biostudies/studies/S-EPMC9913062biostudies-literatureUnknown15(3)<h4>Background</h4>Type II ovarian cancer (OC) is generally diagnosed at an advanced stage, translating into a poor survival rate. Current screening methods for OC have failed to demonstrate a reduction in mortality. The uterine lavage technique has been used to detect tumor-specific <i>TP53</i> mutations from cells presumably shed from high-grade serous ovarian cancer (HGSOC). We aimed to pilot whether the detection of <i>TP53</i> mutation in uterine cavity lavage can be used as a diagnostic method for HGSOC using an expanded gene panel.<h4>Methods</h4>In this study 90, uterine lavage and 46 paired biopsy samples were analyzed using next-generation sequencing (NGS) targeting <i>TP53</i> as well as five additional OC-related genes: <i>BRCA1</i>, <i>BRCA2</i>, <i>PI3KCA</i>, <i>PTEN</i>, anCancersUterine Cavity Lavage Mutation Analysis in Lithuanian Ovarian Cancer Patients.PMC9913062Lithuanian National Cancer institute research fund.Zilovic DCiurliene RJarmalaite SSabaliauskaite RVaicekauskaite IfalseUterine Cavity Lavage Mutation Analysis in Lithuanian Ovarian Cancer Patients.<h4>Background</h4>Type II ovarian cancer (OC) is generally diagnosed at an advanced stage, translating into a poor survival rate. Current screening methods for OC have failed to demonstrate a reduction in mortality. The uterine lavage technique has been used to detect tumor-specific <i>TP53</i> mutations from cells presumably shed from high-grade serous ovarian cancer (HGSOC). We aimed to pilot whether the detection of <i>TP53</i> mutation in uterine cavity lavage can be used as a diagnostic method for HGSOC using an expanded gene panel.<h4>Methods</h4>In this study 90, uterine lavage and 46 paired biopsy samples were analyzed using next-generation sequencing (NGS) targeting <i>TP53</i> as well as five additional OC-related genes: <i>BRCA1</i>, <i>BRCA2</i>, <i>PI3KCA</i>, <i>PTEN</i>, an2023-01-01T00:00:00Z2023 Jan2025-04-04T11:10:33.735Z2025-04-04T11:10:33.735ZS-EPMC99130623676582610.3390/cancers15030868