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Published on: March 14, 2019
Biomarker-driven therapy in endometrial cancer
Hannah Karpel1, Brian Slomovitz2, Robert L Coleman3
1New York University Grossman School of Medicine, New York, New York, USA.
Endometrial cancer treatment is now guided by four molecular subtypes. Targeted therapies, including immunotherapy and novel agents, show promise across these distinct subtypes, improving patient management.
Area of Science:
- Gynecologic Oncology
- Molecular Pathology
- Translational Cancer Research
Background:
- Endometrial cancer exhibits significant molecular heterogeneity.
- The Cancer Genome Atlas (TCGA) has classified four validated molecular subtypes: dMMR/MSI-H, CNH/p53abn, CNL/NSMP, and POLEmut.
- These subtypes have distinct prognostic implications and treatment responses.
Purpose of the Study:
- To review current and emerging treatments for endometrial cancer based on molecular subtype.
- To highlight the prognostic and therapeutic significance of molecular subtyping in guiding patient management and clinical trial design.
Main Methods:
- Review of recent clinical trial data and regulatory approvals for endometrial cancer treatments.
- Analysis of therapeutic strategies tailored to specific molecular subtypes, including immunotherapy, targeted agents, and hormonal therapy.
- Discussion of ongoing research and treatment de-escalation strategies.
Main Results:
- Pembrolizumab and dostarlimab (anti-PD-1 antibodies) are approved for advanced/recurrent dMMR/MSI-H endometrial cancer.
- Pembrolizumab/lenvatinib combination is approved for mismatch repair proficient/microsatellite stable endometrial cancer (including p53abn/CNH and NSMP/CNL subtypes).
- Trastuzumab is indicated for HER2-positive serous endometrial cancer (primarily p53abn/CNH). Selinexor shows potential in p53-wildtype cases, and novel combinations are under investigation.
Conclusions:
- Molecular subtyping is crucial for personalized endometrial cancer treatment.
- Targeted therapies and immunotherapies are increasingly integrated into treatment algorithms based on subtype.
- Further research is needed to optimize treatment de-escalation and novel combination strategies for all subtypes.
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