Cytoplasmic PPARγ is a marker of poor prognosis in patients with Cox-1 negative primary breast cancers.


Journal

Journal of translational medicine
ISSN: 1479-5876
Titre abrégé: J Transl Med
Pays: England
ID NLM: 101190741

Informations de publication

Date de publication:
21 02 2020
Historique:
received: 30 08 2019
accepted: 14 02 2020
entrez: 23 2 2020
pubmed: 23 2 2020
medline: 15 5 2021
Statut: epublish

Résumé

The aim of this study was to investigate the expression of the nuclear receptor PPARγ, together with that of the cyclooxygenases Cox-1 and Cox-2, in breast cancer (BC) tissues and to correlate the data with several clinicobiological parameters including patient survival. In a well characterized cohort of 308 primary BC, PPARγ, Cox-1 and Cox-2 cytoplasmic and nuclear expression were evaluated by immunohistochemistry. Correlations with clinicopathological and aggressiveness features were analyzed, as well as survival using Kaplan-Meier analysis. PPARγ was expressed in almost 58% of the samples with a predominant cytoplasmic location. Cox-1 and Cox-2 were exclusively cytoplasmic. Cytoplasmic PPARγ was inversely correlated with nuclear PPARγ and ER expression, but positively with Cox-1, Cox-2, and other high-risk markers of BC, e.g. HER2, CD133, and N-cadherin. Overall survival analysis demonstrated that cytoplasmic PPARγ had a strong correlation with poor survival in the whole cohort, and even stronger in the subgroup of patients with no Cox-1 expression where cytoplasmic PPARγ expression appeared as an independent marker of poor prognosis. In support of this cross-talk between PPARγ and Cox-1, we found that Cox-1 became a marker of good prognosis only when cytoplasmic PPARγ was expressed at high levels. Altogether, these data suggest that the relative expression of cytoplasmic PPARγ and Cox-1 may play an important role in oncogenesis and could be defined as a potential prognosis marker to identify specific high risk BC subgroups.

Sections du résumé

BACKGROUND
The aim of this study was to investigate the expression of the nuclear receptor PPARγ, together with that of the cyclooxygenases Cox-1 and Cox-2, in breast cancer (BC) tissues and to correlate the data with several clinicobiological parameters including patient survival.
METHODS
In a well characterized cohort of 308 primary BC, PPARγ, Cox-1 and Cox-2 cytoplasmic and nuclear expression were evaluated by immunohistochemistry. Correlations with clinicopathological and aggressiveness features were analyzed, as well as survival using Kaplan-Meier analysis.
RESULTS
PPARγ was expressed in almost 58% of the samples with a predominant cytoplasmic location. Cox-1 and Cox-2 were exclusively cytoplasmic. Cytoplasmic PPARγ was inversely correlated with nuclear PPARγ and ER expression, but positively with Cox-1, Cox-2, and other high-risk markers of BC, e.g. HER2, CD133, and N-cadherin. Overall survival analysis demonstrated that cytoplasmic PPARγ had a strong correlation with poor survival in the whole cohort, and even stronger in the subgroup of patients with no Cox-1 expression where cytoplasmic PPARγ expression appeared as an independent marker of poor prognosis. In support of this cross-talk between PPARγ and Cox-1, we found that Cox-1 became a marker of good prognosis only when cytoplasmic PPARγ was expressed at high levels.
CONCLUSION
Altogether, these data suggest that the relative expression of cytoplasmic PPARγ and Cox-1 may play an important role in oncogenesis and could be defined as a potential prognosis marker to identify specific high risk BC subgroups.

Identifiants

pubmed: 32085795
doi: 10.1186/s12967-020-02271-6
pii: 10.1186/s12967-020-02271-6
pmc: PMC7035771
doi:

Substances chimiques

Biomarkers, Tumor 0
PPAR gamma 0
PPARG protein, human 0
Receptor, ErbB-2 EC 2.7.10.1

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

94

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Auteurs

Wanting Shao (W)

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

Christina Kuhn (C)

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

Doris Mayr (D)

Department of Pathology, LMU Munich, Munich, Germany.

Nina Ditsch (N)

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

Magdalena Kailuwait (M)

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

Verena Wolf (V)

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

Nadia Harbeck (N)

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

Sven Mahner (S)

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

Udo Jeschke (U)

Breast Center, Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany. udo.jeschke@med.uni-muenchen.de.

Vincent Cavaillès (V)

IRCM-Institut de Recherche en Cancérologie de Montpellier, INSERM U1194, Université Montpellier, Parc Euromédecine, 208 rue des Apothicaires, 34298, Montpellier Cedex 5, France.

Sophie Sixou (S)

Breast Center, Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.
Faculté des Sciences Pharmaceutiques, Université Paul Sabatier Toulouse III, 31062, Toulouse Cedex 09, France.
Cholesterol Metabolism and Therapeutic Innovations, Cancer Research Center of Toulouse (CRCT), UMR 1037, CNRS, Inserm, UPS, Université de Toulouse, 31037, Toulouse, France.

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Classifications MeSH