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Single-cell profiling of low-stage endometrial cancers identifies low epithelial vimentin expression as a marker of recurrent disease.
Lien, Hilde E; Berg, Hege F; Halle, Mari K; Trovik, Jone; Haldorsen, Ingfrid S; Akslen, Lars A; Krakstad, Camilla.
Afiliação
  • Lien HE; Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway.
  • Berg HF; Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway.
  • Halle MK; Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway.
  • Trovik J; Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway.
  • Haldorsen IS; Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway; Section for Radiology, Department of Clinical Medicine, University of Bergen, Bergen, Norway.
  • Akslen LA; Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Pathology, Haukeland University Hospital, Bergen, Norway.
  • Krakstad C; Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway. Electronic address: camilla.krakstad@uib.no.
EBioMedicine ; 92: 104595, 2023 Jun.
Article em En | MEDLINE | ID: mdl-37146405
ABSTRACT

BACKGROUND:

Identification of aggressive low-stage endometrial cancers is challenging. So far, studies have failed to pinpoint robust features or biomarkers associated with risk of recurrence for these patients.

METHODS:

Imaging mass cytometry was used to examine single-cell expression of 23 proteins in 36 primary FIGO IB endometrial cancers, of which 17 recurred. Single-cell information was extracted for each tumor and unsupervised clustering was used to identify cellular phenotypes. Distinct phenotypes and cellular neighborhoods were compared in relation to recurrence. Cellular differences were validated in a separate gene expression dataset and the TCGA EC dataset. Vimentin protein expression was evaluated by IHC in pre-operative samples from 518 patients to validate its robustness as a prognostic marker.

FINDINGS:

The abundance of epithelial, immune or stromal cell types did not associate with recurrence. Clustering of patients based on tumor single cell marker expression revealed distinct patient clusters associated with outcome. A cell population neighboring CD8+ T cells, defined by vimentin, ER, and PR expressing epithelial cells, was more prevalent in non-recurrent tumors. Importantly, lower epithelial vimentin expression and lower gene expression of VIM associated with worse recurrence-free survival. Loss and low expression of vimentin was validated by IHC as a robust marker for recurrence in FIGO I stage disease and predicted poor prognosis also when including all patients and in endometrioid patients only.

INTERPRETATION:

This study reveals distinct characteristics in low-stage tumors and points to vimentin as a clinically relevant marker that may aid in identifying a here to unidentified subgroup of high-risk patients.

FUNDING:

A full list of funding that contributed to this study can be found in the Acknowledgements section.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias do Endométrio Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Female / Humans Idioma: En Revista: EBioMedicine Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias do Endométrio Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Female / Humans Idioma: En Revista: EBioMedicine Ano de publicação: 2023 Tipo de documento: Article