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 investigation into molecular classification strategies for endometrial cancer staging. As suggested by the title and journal scope, the work evaluates how molecular profiling data can inform or refine traditional staging systems in gynaecological oncology. The study's large international collaboration and focus on molecular phenotyping suggest an effort to establish evidence-based classification schemes to improve patient risk stratification.

UK applicability

Findings may inform UK clinical practice in gynaecological oncology pathways, particularly if molecular classification approaches are adopted into NHS diagnostic protocols. Applicability depends on the availability and cost-effectiveness of molecular testing infrastructure in UK cancer centres.

Key measures

Molecular classification patterns, cancer staging outcomes, and clinicopathological correlates in endometrial cancer cases

Outcomes reported

The study evaluated molecular classification approaches for staging endometrial cancer across a multi-centre cohort. The research appears to assess how molecular profiling can improve cancer staging and prognostication.

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
BFmou2m2lh-zk31hy

Topic tags

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