Independent Tissue-Based Biomarkers in Endometrioid Endometrial Cancer: Tumor Budding in Microsatellite Instability and WHO Grading in Copy-Number-Low Patients.

CN-low MSI endometrial cancer lymph node metastasis molecular subtypes prognosis tissue based biomarkers tumor budding

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
28 Jul 2023
Historique:
received: 30 05 2023
revised: 20 07 2023
accepted: 21 07 2023
medline: 12 8 2023
pubmed: 12 8 2023
entrez: 12 8 2023
Statut: epublish

Résumé

The molecular characterization of endometrial endometrioid adenocarcinomas has provided major advances in its prognostic stratification. However, risk assessment of microsatellite instability (MSI) and copy-number (CN)-low cases remains a challenge. Thus, we aimed to identify tissue-based morphologic biomarkers that might help in the prognostic stratification of these cases. Histomorphologic parameters (WHO grading, tumor budding (TB), tumor-stroma ratio (as a quantitative description of stromal desmoplasia), tumor-infiltrating lymphocytes (TIL), "microcystic, elongated, fragmented" (MELF) pattern) were analyzed in resection specimens of the TCGA-UCEC cohort (

Identifiants

pubmed: 37568650
pii: cancers15153832
doi: 10.3390/cancers15153832
pmc: PMC10416921
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Fabian Stögbauer (F)

Institute of Pathology, School of Medicine, Technical University of Munich (TUM), 81675 Munich, Germany.

Barbara Geß (B)

Department of Obstetrics and Gynecology, Technical University of Munich, 81675 Munich, Germany.

Christine Brambs (C)

Lucerne Cantonal Hospital, Department of Obstetrics & Gynecology, Division of Gynecologic Oncology, 6000 Lucerne, Switzerland.

Manuela Lautizi (M)

Institute of Pathology, School of Medicine, Technical University of Munich (TUM), 81675 Munich, Germany.
Chair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, 85354 Freising, Germany.

Tim Kacprowski (T)

Division Data Science in Biomedicine, Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, 38106 Brunswick, Germany.
Braunschweig Integrated Centre of Systems Biology (BRICS), 38106 Brunswick, Germany.

Iordanis Ourailidis (I)

Institute of Pathology, Heidelberg University Hospital, 69120 Heidelberg, Germany.

Holger Bronger (H)

Department of Obstetrics and Gynecology, Technical University of Munich, 81675 Munich, Germany.
German Cancer Consortium (DKTK) Partner Site Munich, 81675 Munich, Germany.

Marion Kiechle (M)

Department of Obstetrics and Gynecology, Technical University of Munich, 81675 Munich, Germany.

Aurelia Noske (A)

Institute of Pathology, School of Medicine, Technical University of Munich (TUM), 81675 Munich, Germany.

Gisela Keller (G)

Institute of Pathology, School of Medicine, Technical University of Munich (TUM), 81675 Munich, Germany.

Moritz Jesinghaus (M)

Institute of Pathology, University Hospital Marburg, Baldingerstraße, 35043 Marburg, Germany.

Christopher Poremba (C)

Pathologie München-Nord, 80992 Munich, Germany.

Wilko Weichert (W)

Institute of Pathology, School of Medicine, Technical University of Munich (TUM), 81675 Munich, Germany.
German Cancer Consortium (DKTK) Partner Site Munich, 81675 Munich, Germany.

Melanie Boxberg (M)

Institute of Pathology, School of Medicine, Technical University of Munich (TUM), 81675 Munich, Germany.
German Cancer Consortium (DKTK) Partner Site Munich, 81675 Munich, Germany.
Pathologie München-Nord, 80992 Munich, Germany.

Classifications MeSH