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1051 Feasibility of molecular classification using next-generation sequencing for evaluating clinical outcomes in patients with endometrial cancer
  1. Jeong-Yeol Park,
  2. So Hyun Nam,
  3. Ju-Hyun Kim,
  4. Shin-Wha Lee,
  5. Dae-Yeon Kim and
  6. Yong Man Kim
  1. Asan Medical Center, Department of Obstetrics and Gynecology, Seoul, South Korea


Introduction/Background We investigated the feasibility of molecular classification using next-generation sequencing and its relationship with clinical outcomes in patients with endometrial cancer.

Methodology Clinical data and next-generation sequencing data using tumor tissues were retrospectively collected. Next-generation sequencing assays were performed to identify genomic alterations in 323 cancer-related genes.

Results A total of 200 patients with endometrial cancer were classified into four molecular subtype groups: POLEmut group (5%), MSI-H group (23.5%), no specific molecular profile (NSMP) group (48%) and p53abn group (23.5%). The p53abn group showed a greater proportion of non-endometrioid carcinoma (P < 0.001) and advanced-stage cases (P = 0.006). Molecular classification revealed distinct progression-free survival outcomes, with the POLEmut group showing a favorable prognosis, the MSI-H and NSMP groups exhibiting intermediate prognoses, and the p53abn group presenting the least favorable prognosis (P < 0.001). In terms of overall survival, the MSI-H group demonstrated the most favorable prognosis, while the p53abn group showed the least favorable prognosis (P = 0.001). Of the 13 patients (27.7%) in the MSI-H group experiencing recurrence or progression, 6 patients received immunotherapy according to MSI status of NGS results, resulting in 3 complete responses and 3 partial responses.

Conclusion Next-generation sequencing is a useful tool for evaluating clinical outcomes and it can be feasibly used to guide treatment of patients with endometrial cancer.

Disclosures We have no potential conflict of interest to report.

Abstract 1051 Figure 1

Progression-free survival and overall survival stratification using molecular classfication

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