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Updated: Jan 8, 2026

An Orthotopic Endometrial Cancer Model with Retroperitoneal Lymphadenopathy Made From In Vivo Propagated and Cultured VX2 Cells
Published on: September 12, 2019
Adjuvant therapy guided by molecular classification in endometrial cancer: survival benefit and safety profile
Lu Liu1, Jian Ouyang1, Junge Sun1
1Pingxiang Health Vocational College Pingxiang 337000, Jiangxi, China.
Objectives:
To evaluate the effect of molecular classification-based postoperative adjuvant therapy on survival outcomes and treatment safety in patients with endometrial cancer.
Methods:
This retrospective study included 208 endometrial cancer patients treated between January 2022 and January 2025. Patients were divided into a control group (n = 102), receiving conventional adjuvant therapy, and an observation group (n = 106), receiving molecular classification-based personalized regimens. The primary endpoints were disease-free survival (DFS) and overall survival (OS). Secondary measures included objective response, treatment-related toxicity, treatment delivery factors, patient-reported outcomes, and next-generation sequencing of circulating tumor DNA (ctDNA). Multivariate Cox regression was used to explore molecular subtypes and clinicopathologic predictors of 5-year DFS.
Results:
In the observation group, immune therapy was exclusively administered, and treatment regimens significantly differed from the control group, which received chemoradiotherapy. The observation group showed significantly better DFS (HR = 0.52, 95% CI 0.30-0.89, P = 0.01) and OS (HR = 0.45, 95% CI 0.21-0.95, P = 0.03). Molecular subtype analysis indicated better prognosis for POLE-ultramutated tumors and poorer prognosis for p53-abnormal tumors. The observation group had fewer adverse events (grade ≥ 2: 38.7% vs. 63.7%, P = 0.001) and higher objective response rates (65.1% vs. 43.1%, P = 0.001).
Conclusions:
Molecular classification-based adjuvant therapy improved survival, response rates, and ctDNA clearance with fewer toxicities. These findings support incorporating molecular classification into postoperative treatment to enhance outcomes in endometrial cancer.
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