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

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Summary

The SENECA study is a large multinational observational cohort investigating whether molecular classification of endometrial cancers improves prognostication and clinical staging beyond conventional histopathological methods. The research likely evaluates whether genomic or transcriptomic markers identify distinct risk groups and inform treatment decisions in endometrial cancer patients across multiple European centres.

UK applicability

Findings from this European multicentre study are directly applicable to UK gynaecological oncology practice, particularly for adoption of molecular classification systems in NHS cancer centres. The results may support implementation of molecular testing protocols in UK endometrial cancer management pathways if molecular markers demonstrate superior prognostic discrimination.

Key measures

Molecular subtype classification; correlation with traditional staging systems; recurrence-free and overall survival; treatment response; risk stratification by molecular profile

Outcomes reported

The study examined the association between molecular classification (likely genomic or transcriptomic subtypes) of endometrial cancers and clinical outcomes including staging, recurrence risk, and prognostic stratification. Outcomes likely included disease-free survival, overall survival, and correlation between molecular markers and traditional histopathological staging.

Theme
Nutrition & health
Subject
Other / interdisciplinary
Study type
Research
Study design
Observational cohort
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Human clinical
DOI
10.1136/ijgc-2024-005711
Catalogue ID
BFmobghqjf-mz1shz

Topic tags

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