B1 Other refereed article (e.g., editorial, letter, comment) in a scientific journal
The impact of the patient macroenvironment on molecular subgroups in endometrial cancer; 
Authors: Werner, Henrica M. J.; van Dijk, Frederiek A. H.; Vrede, Stephanie W.; van den Bosch, Anouk A. S.; Lombaers, Marike S.; Asberger, Jasmin; Huvila, Jutta; Snijders, Marc; Tubita, Valeria; Moreno Mancebo, Gemma; Matias-Guiu, Xavier; Bretová, Petra; ENITEC Consortium; Weinberger, Vit; Pijnenborg, Johanna M. A.
Publisher: Wiley
Publication year: 2026
Journal: Cancer
Article number: e70333
Volume: 132
Issue: 6
ISSN: 0008-543X
eISSN: 1097-0142
DOI: https://doi.org/10.1002/cncr.70333
Publication's open availability at the time of reporting: Open Access
Publication channel's open availability : Partially Open Access publication channel
Web address : https://doi.org/10.1002/cncr.70333
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/516035731
Self-archived copy's licence: CC BY NC ND
Self-archived copy's version: Publisher`s PDF
More than half of endometrial cancer diagnoses can be attributed to obesity. A purely molecular classification in endometrial cancer hampers further understanding of the impact of patient macroenvironment as a major risk factor. The relationship between patient factors, such as age, body mass index (BMI), comorbidity, and ethnicity, and molecular subgroups was studied in a publicly available data set (N = 225) and two multicenter European cohorts (N = 223; N = 946). Age at diagnosis was highest in the TP53-mutated subgroup, and differed significantly between molecular subgroups. Patients with obesity were younger at diagnosis compared to their lean counterparts across all molecular subgroups (61.9 vs. 66.2 years; p <.01). Survival was worst in the TP53-mutated subgroup but improved with increasing BMI, which resulted in nonsignificant differences from other subgroups when BMI was >35. These data underscore that patient factors remain important, and their integration with molecular factors needs to be better understood to ultimately improve treatment and prevention strategies in endometrial cancer.
Keywords:
endometrial neoplasm classification
Downloadable publication This is an electronic reprint of the original article. |  |
