Next Article in Journal
Molecular Characterization and Expression Profiling of Tomato GRF Transcription Factor Family Genes in Response to Abiotic Stresses and Phytohormones
Next Article in Special Issue
The Functions of MicroRNA-200 Family in Ovarian Cancer: Beyond Epithelial-Mesenchymal Transition
Previous Article in Journal
Isolation of Rice Bran Lectins and Characterization of Their Unique Behavior in Caco-2 Cells
Previous Article in Special Issue
188Re-Liposome Can Induce Mitochondrial Autophagy and Reverse Drug Resistance for Ovarian Cancer: From Bench Evidence to Preliminary Clinical Proof-of-Concept
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Int. J. Mol. Sci. 2017, 18(5), 1055; doi:10.3390/ijms18051055

Supervised Clustering of Adipokines and Hormonal Receptors Predict Prognosis in a Population of Obese Women with Type 1 Endometrial Cancer

1
Department of Obstetrics and Gynecology, Centre Hospitalier Intercommunal de Créteil, 40 Avenue de Verdun, 94000 Créteil, France
2
Department of Pathology, Centre Hospitalier Intercommunal de Créteil, 40 Avenue de Verdun, 94000 Créteil, France
3
Department of Surgery, Institut Curie, 26 rue d’Ulm, 75005 Paris, France
4
INSERM/Paris 7 U965 “Carcinose, Angiogénèse-Recherche Translationnelle”, Centre Hospitalier Universitaire Lariboisière, Assistance Publique des Hôpitaux de Paris (AP-HP), 2 rue Ambroise Paré, 75010 Paris, France
*
Author to whom correspondence should be addressed.
Academic Editor: Kwong-Kwok Wong
Received: 24 March 2017 / Revised: 6 May 2017 / Accepted: 10 May 2017 / Published: 13 May 2017
(This article belongs to the Special Issue Gynecologic Oncology: From Molecular Mechanisms to Targeted Therapies)
View Full-Text   |   Download PDF [1236 KB, uploaded 16 May 2017]   |  

Abstract

Obesity is a major risk factor for endometrial cancer (EC). Yet, its impact on prognosis is controversial. Obesity is associated with metabolic and hormonal dysregulation as well as adipokines increase. The aim of this study was to characterize the expression of biological factors related to obesity within the tumor and evaluate their impact on prognosis. One hundred and thirty-six patients, including 55 obese patients, with endometrioid type I EC operated by total hysterectomy were included in this retrospective study conducted in a Tertiary teaching hospital between 2000 and 2013. Immunohistochemistry (IHC) study was performed on type I EC tumor samples using five adipokines (SPARC, RBP4 (Retinol Binding Protein 4), adiponectin, TNF α, IL-6) and hormonal receptors (estrogen receptor and progesterone receptor). Supervised clustering of immunohistochemical markers was performed to identify clusters that could be associated with prognostic groups. The prognosis of the obese population was not different from the prognosis of the general population. Adipokine expression within tumors was not different in these two populations. In obese population, we found three clusters where co-expression was associated with a recurrence group in comparison with a non-recurrence group and four clusters where co-expression was associated with the high risk FIGO (International Federation of Gynecology and Obstetrics) stage I group in comparison of low risk FIGO stage I group. While obesity does not appear as a prognostic factor in endometrioid type I EC, the co-expression of biological factors in IHC on hysterectomy specimens allowed to distinguish two prognostic groups in obese population. View Full-Text
Keywords: obesity; endometrial cancer; adipokine; prognosis obesity; endometrial cancer; adipokine; prognosis
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Uzan, J.; Laas, E.; Alsamad, I.A.; Skalli, D.; Mansouri, D.; Haddad, B.; Touboul, C. Supervised Clustering of Adipokines and Hormonal Receptors Predict Prognosis in a Population of Obese Women with Type 1 Endometrial Cancer. Int. J. Mol. Sci. 2017, 18, 1055.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Int. J. Mol. Sci. EISSN 1422-0067 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top