Nuclear Enolase-1/ MBP-1 expression and its association with the Wnt signaling in epithelial ovarian cancer.

Enolase-1 Immunohistochemistry MBP-1 Ovarian cancer Wnt signaling

Journal

Translational oncology
ISSN: 1936-5233
Titre abrégé: Transl Oncol
Pays: United States
ID NLM: 101472619

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 20 08 2020
revised: 28 09 2020
accepted: 05 10 2020
pubmed: 18 10 2020
medline: 18 10 2020
entrez: 17 10 2020
Statut: ppublish

Résumé

Enolase-1, primarily known for its role in glucose metabolism, is overexpressed in various cancer entities. In contrast its alternative spliced nuclear isoform MBP-1 acts as a tumor suppressor. The aim of this study is to analyze the prognostic impact of Enolase-1/ MBP-1 and its functional significance in epithelial ovarian cancer (EOC). By immunohistochemistry, Enolase-1 staining was examined in 156 EOC samples. Evaluation of Enolase-1 staining was conducted in the nucleus and the cytoplasm using the semi-quantitative immunoreactive score. Expression levels were correlated with clinical and pathological parameters as well as with overall survival to assess for prognostic impact. Cytoplasmic and nuclear Enolase-1 expression did not show a significant difference between the histological subtypes (p = 0.1). High nuclear Enolase-1/ MBP-1 staining negativly correlated with the tumor grading (p<0.001; Cc= -0.318). Cytoplasmic Enolase-1 did not correlate with clinicopathological data. Higher nuclear Enolase-1/ MBP-1 staining was detected in low-grade serous cancer cases compared to high-grade ones (median IRS 3 (range 0-8) vs. median IRS 2 (range 0-4), p<0.001). Nuclear Enolase-1/ MBP-1 expression correlated with the Wnt signaling markers membranous beta-catenin (p = 0.007; Cc=0.235), serine residue 9-phosphorylated glycogen synthase kinase 3 beta (p<0.001; Cc=0.341) and snail/slug (p = 0.004; Cc= -0.257). High nuclear Enolase-1/ MBP-1 expression was associated with improved overall survival (88.6 vs. 33.1 months, median; p = 0.013). Additional knowledge of Enolase-1/ MBP-1 as a biomarker and its interactions within the Wnt signaling pathway and epithelial-mesenchymal transition potentially improve the prognosis of therapeutic approaches in EOC.

Sections du résumé

BACKGROUND BACKGROUND
Enolase-1, primarily known for its role in glucose metabolism, is overexpressed in various cancer entities. In contrast its alternative spliced nuclear isoform MBP-1 acts as a tumor suppressor. The aim of this study is to analyze the prognostic impact of Enolase-1/ MBP-1 and its functional significance in epithelial ovarian cancer (EOC).
METHODS METHODS
By immunohistochemistry, Enolase-1 staining was examined in 156 EOC samples. Evaluation of Enolase-1 staining was conducted in the nucleus and the cytoplasm using the semi-quantitative immunoreactive score. Expression levels were correlated with clinical and pathological parameters as well as with overall survival to assess for prognostic impact.
RESULTS RESULTS
Cytoplasmic and nuclear Enolase-1 expression did not show a significant difference between the histological subtypes (p = 0.1). High nuclear Enolase-1/ MBP-1 staining negativly correlated with the tumor grading (p<0.001; Cc= -0.318). Cytoplasmic Enolase-1 did not correlate with clinicopathological data. Higher nuclear Enolase-1/ MBP-1 staining was detected in low-grade serous cancer cases compared to high-grade ones (median IRS 3 (range 0-8) vs. median IRS 2 (range 0-4), p<0.001). Nuclear Enolase-1/ MBP-1 expression correlated with the Wnt signaling markers membranous beta-catenin (p = 0.007; Cc=0.235), serine residue 9-phosphorylated glycogen synthase kinase 3 beta (p<0.001; Cc=0.341) and snail/slug (p = 0.004; Cc= -0.257). High nuclear Enolase-1/ MBP-1 expression was associated with improved overall survival (88.6 vs. 33.1 months, median; p = 0.013).
CONCLUSION CONCLUSIONS
Additional knowledge of Enolase-1/ MBP-1 as a biomarker and its interactions within the Wnt signaling pathway and epithelial-mesenchymal transition potentially improve the prognosis of therapeutic approaches in EOC.

Identifiants

pubmed: 33069100
pii: S1936-5233(20)30402-2
doi: 10.1016/j.tranon.2020.100910
pmc: PMC7569221
pii:
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100910

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest Thomas Kolben holds stock of Roche AG and his relative is employed at Roche AG. Anna Hester has received a research grant from the “Walter Schulz” foundation and advisory board, speech honoraria and travel expenses from Roche and Pfizer. Alexander Burges has received advisory board and honoraria from AstraZeneca, Clovis, Roche and Tesaro. Research support, advisory board, honoraria, and travel expenses from AstraZeneca, Clovis, Medac, MSD, Novartis, PharmaMar, Roche, Sensor Kinesis, Tesaro, Teva have been received by Sven Mahner and from AstraZeneca, Medac, PharmaMar, Roche, Tesaro by Fabian Trillsch. All other authors declare no conflict of interest.

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Auteurs

Bastian Czogalla (B)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany. Electronic address: Bastian.Czogalla@med.uni-muenchen.de.

Alexandra Partenheimer (A)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.

Susann Badmann (S)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.

Elisa Schmoeckel (E)

Institute of Pathology, Faculty of Medicine, LMU Munich, 81377 Munich, Germany.

Doris Mayr (D)

Institute of Pathology, Faculty of Medicine, LMU Munich, 81377 Munich, Germany.

Thomas Kolben (T)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.

Susanne Beyer (S)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.

Anna Hester (A)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.

Alexander Burges (A)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.

Sven Mahner (S)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.

Udo Jeschke (U)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany; Department of Obstetrics and Gynecology, University Hospital Augsburg, Augsburg, Germany.

Fabian Trillsch (F)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.

Classifications MeSH