2026-04-17T03:14:11Zhttps://recercat.cat/oai/request

oai:recercat.cat:2072/4706692025-05-08T14:37:43Zcom_2072_98col_2072_378192

00925njm 22002777a 4500 dc Villafranca-Magdalena, Beatriz author Masferrer-Ferragutcasas, Carina author López-Gil, Carlos author Coll de la Rubia, Eva author Rebull, Marta author Parra, Genis author García, Ángel author Reques, Armando author Cabrera Díaz, Silvia author Colás Ortega, Eva author Gil-Moreno, Antonio author Moiola, Cristian Pablo author 2022 Endometrial cancer (EC) is the second most frequent gynecological cancer worldwide. Although improvements in EC classification have enabled an accurate establishment of disease prognosis, women with a high-risk or recurrent EC face a dramatic situation due to limited further treatment options. Therefore, new strategies that closely mimic the disease are required to maximize drug development success. Patient-derived xenografts (PDXs) are widely recognized as a physiologically relevant preclinical model. Hence, we propose to molecularly and histologically validate EC PDX models. To reveal the molecular landscape of PDXs generated from 13 EC patients, we performed histological characterization and whole-exome sequencing analysis of tumor samples. We assessed the similarity between PDXs and their corresponding patient's tumor and, additionally, to an extended cohort of EC patients obtained from The Cancer Genome Atlas (TCGA). Finally, we performed functional enrichment analysis to reveal differences in molecular pathway activation in PDX models. We demonstrated that the PDX models had a well-defined and differentiated molecular profile that matched the genomic profile described by the TCGA for each EC subtype. Thus, we validated EC PDX's potential to reliably recapitulate the majority of histologic and molecular EC features. This work highlights the importance of a thorough characterization of preclinical models for the improvement of the success rate of drug-screening assays for personalized medicine. Endometrial cancer Preclinical model PDXs Personalized medicine Translational research Genomics Bioinformatics Molecular marker TCGA Genomic Validation of Endometrial Cancer Patient-Derived Xenograft Models as a Preclinical Tool