The impact of integrated genomic analysis on molecular classifications and prognostic risk stratification in endometrial cancer: a Chinese experience
NSMP group was the most prevalent, comprising 46.0% (92/200) of cases, followed by the TP53mut group at 17.5% (35/200), the MSI-H group at 23.5% (47/200), and the POLEmut group at 13.0% (26/200). CTNNB1 mutations were common in the POLEmut group but rare in the TP53mut group. With the application of the new European Society for Medical Oncology (ESMO) 2022 classification, 27 patients (14.1%) were reclassified. Concordance between the two classifications regarding postoperative risk was observed in 85.9% (165/192) of cases. Seven patients (3.6%) were downstaged, and twenty patients (10.4%) were upgraded. Additionally, the analysis revealed that eleven genes were significantly mutated in patients with lymphovascular space invasion (LVSI) compared to those without LVSI. Notably, NSD3 and POLD1 were highly mutated in patients with lymphatic metastasis compared to those without lymphatic metastasis. Conclusively, large-scale NGS has revolutionized EC management by facilitating rapid molecular subtype identification, guiding tailored adjuvant therapies, targeted treatments, and immunotherapies, and efficiently screening for Lynch syndrome, thereby significantly improving patient outcomes.
Authors
- Dongling Zou (ORCID: https://orcid.org/0000-0001-9158-8783)
- Ди Шао (ORCID: https://orcid.org/0000-0002-1485-2074)
- Min Huang (ORCID: https://orcid.org/0000-0003-1960-4552)
- Qin Zhang (ORCID: https://orcid.org/0000-0002-4597-7697)
- Shu Jin (ORCID: https://orcid.org/0009-0000-8974-3940)
- Qian Zheng (ORCID: https://orcid.org/0009-0002-4370-8175)
- Dong Wang (ORCID: https://orcid.org/0009-0001-8218-3853)
Institutions
- BGI Group (China) (CN)
- Chongqing University (CN)
- Chongqing Cancer Hospital (CN)
- BGI Genomics
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-02-06
- DOI
- https://doi.org/10.3389/fonc.2025.1541562
- Primary Topic
- Endometrial and Cervical Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- AstraZeneca