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Endometrial Carcinoma: Molecular Cytogenetics and Transcriptomic Profile.
Brunetti, Marta; Panagopoulos, Ioannis; Vitelli, Valeria; Andersen, Kristin; Hveem, Tarjei S; Davidson, Ben; Eriksson, Ane Gerda Z; Trent, Pernille Kristina Bjerre; Heim, Sverre; Micci, Francesca.
Afiliación
  • Brunetti M; Section for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway.
  • Panagopoulos I; Section for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway.
  • Vitelli V; Oslo Center for Biostatistics and Epidemiology, Department of Biostatistics, University of Oslo, 0315 Oslo, Norway.
  • Andersen K; Section for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway.
  • Hveem TS; Section for Applied Informatics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway.
  • Davidson B; Department of Pathology, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway.
  • Eriksson AGZ; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0315 Oslo, Norway.
  • Trent PKB; Department of Gynecological Oncology, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway.
  • Heim S; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0315 Oslo, Norway.
  • Micci F; Department of Gynecological Oncology, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway.
Cancers (Basel) ; 14(14)2022 Jul 20.
Article en En | MEDLINE | ID: mdl-35884597
Endometrial carcinomas (ECs) are histologically classified as endometrioid and nonendometrioid tumors, with each subgroup displaying different molecular profiles and clinical outcomes. Considerable biological and clinical heterogeneity exists within this scheme, however, reflecting its imperfection. We aimed to gather additional data that might help clarify the tumors' pathogenesis and contribute toward a more meaningful classification scheme. In total, 33 ECs were examined for the presence of chromosomal aberrations, genomic imbalances, pathogenic variants, microsatellite instability, and expression profiles at both gene and miRNA levels. Chromosome 1 was the most frequently rearranged chromosome, showing a gain of all or part of the long arm. Pathogenic variants were found for PTEN (53%), PDGFRA (37%), PIK3CA (34%), and KIT (31%). High microsatellite instability was identified in 15 ECs. Comparing tumors and controls, we identified 23 differentially expressed genes of known importance in carcinogenesis, 15 genes involved in innate and adaptative immune responses, and altered expression of 7 miRNAs. miR-32-5p was the most upregulated. Our series showed a high degree of heterogeneity. Tumors were well-separated from controls, but there was no clear-cut separation between endometrioid and nonendometrioid ECs. Whether this means that the current phenotypic classification is of little relevance or if one still has not detected which genomic parameters to enter into correlation analyses remains unknown.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Cancers (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Noruega

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Cancers (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Noruega
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