Post-surgical ctDNA-based molecular residual disease detection in patients with stage I uterine malignancies

GYNECOLOGIC ONCOLOGY(2024)

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摘要
Introduction. Among uterine malignancies, endometrial cancer (EC) is the most common cancer of the female reproductive tract. Traditionally, risk stratification in EC is determined by standard clinicopathological risk factors. Although circulating tumor DNA (ctDNA) has emerged as a prognostic biomarker in various malignancies, its clinical validity in EC remains to be established. Methods. In this analysis of real-world data, 267 plasma samples from 101 patients with stage I EC were analyzed using a tumor-informed ctDNA assay (Signatera (TM) bespoke mPCR-NGS). Patients were followed postsurgically and monitored with ctDNA testing for a median of 6.8 months (range: 0.37-19.1). Results. Patients who tested ctDNA-positive at both their first time point and longitudinally experienced inferior recurrence -free survival (RFS) (HR = 6.2; p = 0.0006 and HR = 15.5; p < 0.0001, respectively), and showed a recurrence rate of 58% and 52%, vs. 6% and 0%, respectively for the ctDNA-negative patients. Most ctDNA-positive patients had high-risk histologies or sarcoma, versus low -risk and high -intermediate risk (H -IR) EC. Furthermore, patients with high -risk histologies who were ctDNApositive showed shorter RFS compared to those who tested negative (HR = 9.5; p = 0.007), and those who tested positive in the low/H-IR cohort (HR = 0.25; p = 0.04). Post -surgically, detectable ctDNA was highly prognostic of clinical outcome and remained the only significant risk factor for recurrence when adjusted for clinicopathological risk factors, such as histologic risk group, mismatch repair (MMR), and p53 status. Conclusion. Incorporating ctDNA monitoring along with traditional known risk factors may aid in identifying patients with stage I EC who are at highest risk of recurrence, and possibly aid in treatment stratification.
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关键词
Endometrial cancer,Risk groups,Circulating tumor DNA/ctDNA,Tumor biomarkers
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