Abstract

We aimed to detect endometrial cancer (EC)-associated mutations in endometrial lavage specimens collected in an office setting and to compare the detected mutations with those identified in tissue samples. Participants included 16 women attending for an office hysteroscopy because of suspected EC between July 2020 and October 2021. Massively parallel sequencing was conducted using the targeted 72 cancer-associated genes. Endometrial lavage specimens, endometrial tissue samples, and blood samples were simultaneously sequenced to establish the concordance of genetic alterations. In this study, the vast majority of EC-associated mutations identified in lavage samples (R2 = 0.948) were identical to those detected in endometrial tissues. Of the 13 patients with EC, 12 (92.3%) had at least one mutation identified in endometrial lavage samples. Notably, no mutations in lavage samples were identified in the two patients with a previous history of EC but no actual endometrial lesions, supporting a high negative predictive value of the test. A patient previously diagnosed with EC and with current evidence of atypical hyperplasia showed persisting PTEN, PIK3R1, and KRAS mutations in her endometrial lavage specimen. PTEN was the most commonly mutated gene, followed by PIK3R1, ARID1A, PIK3CA, CTNNB1, and KRAS. In conclusions, our study provides pilot evidence on the actionability of uterine lavage samples sequencing to detect EC-associated mutations in women with suspected endometrial lesions. In a precision medicine framework, the high mutational concordance between uterine lavage samples and tissue specimens may help inform less invasive diagnostic protocols and the need for ongoing surveillance in patients with EC who wished for fertility-preserving treatment. KEY MESSAGES: • Sequencing of uterine lavage samples collected by office hysteroscopy is feasible. •Most EC mutations identified in lavage were identical to endometrial tissues. •Sequencing of uterine lavage samples may help inform diagnostic protocols for EC. •This approach can be used for recurrence surveillance in patients with EC.

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