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Updated: May 17, 2026

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An Orthotopic Endometrial Cancer Model with Retroperitoneal Lymphadenopathy Made From In Vivo Propagated and Cultured VX2 Cells
Published on: September 12, 2019
Advancing equity in endometrial cancer: A narrative synthesis using a cluster-informed framework for
Mauricio A Cuello1,2,3, Carolina Ibañez3,4, Marisa Bustos4
1Department of Gynecology, School of Medicine, Pontificia Universidad Católica de Chile (PUC), Santiago, Chile.
Summary
Global endometrial cancer rates are rising, highlighting disparities in healthcare access. Innovations in staging, molecular pathology, and treatment offer potential but risk widening inequities without considering health system readiness and resource levels.
Area of Science:
- Gynecologic Oncology
- Health Systems Research
- Implementation Science
Background:
- Endometrial cancer incidence and mortality are increasing globally, straining healthcare systems.
- Rapid advancements in staging, molecular diagnostics, and treatment present challenges for equitable implementation.
- Health system readiness significantly impacts access to care and innovation adoption.
Purpose of the Study:
- To synthesize current evidence on endometrial cancer management and implementation strategies.
- To develop a resource-stratified framework for guideline adaptation and equitable care delivery.
- To identify persistent gaps in diagnostics, treatment, and survivorship across different health system capacities.
Main Methods:
- Narrative review of trials, guidelines, and implementation studies (2010-2025).
- Application of a previously validated health system readiness clustering model for 68 countries.
- Synthesis of evidence across staging, molecular pathology, surgery, radiotherapy, systemic therapy, survivorship, and AI.
Main Results:
- Significant gaps exist in universal mismatch repair (MMR) and p53 immunohistochemistry availability.
- Variable adoption of sentinel lymph node (SLN) mapping and uneven radiotherapy access persist.
- Limited immunotherapy use for dMMR/MSI-H tumors and fragmented survivorship care are notable challenges.
Conclusions:
- A minimum-core-optimal implementation ladder is proposed to guide priorities across resource levels.
- Context-sensitive guideline adaptation is crucial for addressing implementation gaps.
- AI-supported quality assurance requires local validation, bias mitigation, and robust governance for equitable deployment.