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 presents a multi-centre international investigation into molecular classification systems for endometrial cancer staging, as the title and large international author consortium suggest. The research appears to evaluate how molecular markers might refine endometrial cancer classification and prognostic assessment beyond conventional staging approaches. This work reflects emerging consensus in gynaecological oncology on integrating genomic and molecular data into clinical staging protocols.

UK applicability

Findings on molecular classification staging may inform UK gynaecological cancer services and NHS policy on endometrial cancer diagnosis and risk stratification, though implementation would depend on accessibility of molecular testing infrastructure and alignment with NICE guidance frameworks.

Key measures

Molecular classification categories; endometrial cancer staging; prognostic stratification metrics

Outcomes reported

The study appears to present a molecular classification system for staging endometrial cancer, as suggested by the SENECA study framework. The research likely evaluated how molecular markers can improve prognostic stratification beyond conventional clinicopathological staging.

Theme
Measurement & metrics
Subject
Measurement methods & nutrient profiling
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
BFmor3fy0h-f3w0jw

Topic tags

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