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Determination of endometrial cancer molecular subtypes using a whole exome-sequencing based single-method approach.

Authors :
Mustea, Alexander
Ralser, Damian J.
Egger, Eva K.
Ziehm, Ulrike
Vivas, Sonia
Brock, Stephan
Jackson, David
Condic, Mateja
Rauschendorf, Marc-A.
Würfel, Patrick
Dombrowski, Frank
Otten, Lucia A.
Sun, Pengming
Laib, Anna
Cordova, Miguel Cubas
Hartmann, Rahel
Stein, Martin A.
Koensgen, Dominique
Stope, Matthias B.
Source :
Journal of Cancer Research & Clinical Oncology. Jul2024, Vol. 150 Issue 7, p1-8. 8p.
Publication Year :
2024

Abstract

Aim: Endometrial cancer (EC) is heterogeneous with respect to epidemiology, clinical course, histopathology and tumor biology. Recently, The Cancer Genome Atlas (TCGA) network has identified four molecular subtypes with distinct clinical courses by an integrated multi-omics approach. These subtypes are of critical importance in the clinical management of EC. However, determination of TCGA molecular subtypes requires a complex methodological approach that is resource intensive and difficult to implement in diagnostic routine procedures. In this context, Talhouk et al. reported the precise determination of modified subtypes based on molecular surrogates obtained by a two-method approach comprising immunohistochemistry and DNA-sequence analysis (Proactive Molecular Risk Classifier for Endometrial Cancer; ProMisE). In this study, we aimed to identify EC molecular subtypes in analogy to TCGA and ProMisE applying an innovative whole exome-sequencing (WES) based single-method approach. Methods: WES was performed in a cohort comprising N = 114 EC patients. WES data were analyzed using the oncology treatment decision support software MH Guide (Molecular Health, Heidelberg, Germany) and EC molecular subtypes in analogy to TCGA and ProMisE were determined. Results from both classifications were compared regarding their prognostic values using overall survival and progression-free survival analyses. Results: Applying a single-method WES-approach, EC molecular subtypes analogue to TCGA and ProMisE were identified in the study cohort. The surrogate marker-analogue classification precisely identified high-risk and low-risk EC, whereas the TCGA-analogue classification failed to obtain significant prognostic values in this regard. Conclusion: Our data demonstrate that determination of EC molecular subtypes analogue to TCGA and ProMisE is feasible by using a single-method WES approach. Within our EC cohort, prognostic implications were only reliably provided by applying the surrogate marker-analogue approach. Designation of molecular subtypes in EC will be increasingly important in routine clinical practice. Thus, the single-method WES approach provides an important simple tool to tailor therapeutic decisions in EC. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01715216
Volume :
150
Issue :
7
Database :
Academic Search Index
Journal :
Journal of Cancer Research & Clinical Oncology
Publication Type :
Academic Journal
Accession number :
178673501
Full Text :
https://doi.org/10.1007/s00432-024-05901-4