Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

SENECA study: staging endometrial cancer based on molecular classification

Enrique Chacón, Félix Boria, R Rajagopalan Lyer, Francesco Fanfani, Mario Malzoni, Petra Bretová, Ana Luzarraga Aznar, Robert Fruscio, Marcin Jędryka, Richárd Tóth, Anna Myriam Perrone, Athanasios Kakkos, Ignacio Cristóbal Quevedo, Luigi Congedo, Vanna Zanagnolo, Sergi Fernández-González, Beatriz Ferro, Fabrice Narducci, T Hovhannisyan, Elif Akşahin, L. M. Cardenas, M Reyes Oliver, Gonzalo Nozaleda, Marta Arnáez, Marcin Misiek, Annamaria Ferrero, F Pain, Janire Zarragoitia, C. Díaz, Lorenzo Ceppi, Shamsi Mehdiyev, Fernando Roldán-Rivas, Alberto Rafael Guijarro‐Campillo, Joana Amengual, Nabil Manzour, Luisa Sánchez‐Lorenzo, Jorge M. Núñez‐Córdoba, Antonio González-Martı́n, José Ángel Mínguez, Luis Chiva, cecilia darin, Rychlik Agnieszka, Ester Miralpeix, Roberto Berretta, Natalia Palasz, Duska Beric, Dimitrios Tsolakidis, Soledad Fidalgo, Richard Schwameis, S. P. Somashekhar, İbrahim Yalçın, Radovan Pilka, Çağatay Taşkıran, Despoina Myoteri, Estibaliz Iza Rodriguez, Dariusz Wydra, Sílvia Catot, Mathias K. Fehr, Frédéric Goffin, María Luisa Ramos Ibarra, Stamatios Petousis, E Moratalla Bartolomé, Mareike Bommert, Alfonso Quesada, Shamistan Aliyev, Sara Iacoponi, Inmaculada Lozano, Krzysztof Nowosielski, Ioannis Kalogiannidis, Lampe Bjourn

International Journal of Gynecological Cancer · 2024

Read source ↗ All evidence

Summary

The SENECA study evaluated molecular classification approaches for staging endometrial cancer across multiple European centres. As suggested by the title and journal scope, the research examined how molecular profiling can refine traditional staging systems and improve prognostic stratification. The findings contribute to understanding whether molecular biomarkers enhance clinical decision-making in endometrial cancer management.

UK applicability

This research is applicable to UK gynaecological oncology practice if molecular classification becomes integrated into diagnostic protocols and staging guidance. The study's multi-centre European design may inform adoption of molecular staging in UK NHS cancer centres, though local validation and resource availability would be prerequisites for implementation.

Key measures

Molecular classification categories, staging outcomes, prognostic associations, and clinical correlates in endometrial cancer patients

Outcomes reported

The study applied molecular classification schemes to stratify endometrial cancer cases and assess how molecular staging relates to clinical outcomes and prognosis. The research evaluated the utility of molecular profiling for risk stratification in endometrial cancer management.

Theme
Measurement & metrics
Subject
Other / interdisciplinary
Study type
Research
Study design
Observational cohort
Source type
Peer-reviewed study
Status
Published
Geography
Europe
System type
Human clinical
DOI
10.1136/ijgc-2024-005711
Catalogue ID
MGmow3bb86-mmpj9c

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.