Wafa Babay1, Hamza Ben Yahia1, Nadia Boujelbene2, Nour Zidi3, Ahmed Baligh Laaribi1, Dhikra Kacem4, Radhia Ben Ghorbel4, Abdellatif Boudabous1, Hadda-Imene Ouzari1, Roberta Rizzo5, Vera Rebmann6, Karima Mrad2, Inès Zidi7. 1. Laboratory Microorganisms and Active Biomolecules, Sciences Faculty of Tunis, University of Tunis El Manar, Tunis, Tunisia. 2. Laboratory Microorganisms and Active Biomolecules, Sciences Faculty of Tunis, University of Tunis El Manar, Tunis, Tunisia; Department of Pathology, Salah Azaïz Institute, Tunis, Tunisia. 3. Department of Radiotherapy, Salah Azaïz Institute, Tunis, Tunisia. 4. Department of Pathology, Salah Azaïz Institute, Tunis, Tunisia. 5. Department of Experimental and Diagnostic Medicine, Section Microbiology, University of Ferrara, Ferrara, Italy. 6. Institute for Transfusion Medicine, University Hospital Essen, Virchowstr. 179, 45147 Essen, Germany. 7. Laboratory Microorganisms and Active Biomolecules, Sciences Faculty of Tunis, University of Tunis El Manar, Tunis, Tunisia. Electronic address: ines.zidi@istmt.utm.tn.
Abstract
BACKGROUND: The human leukocyte antigen (HLA)-G and HLA-E, non classical HLA class I molecules, have been highly implicated in immune tolerance. HLA-G and HLA-E molecules were proposed as putative markers of several advanced cancers. As a step towards a better understanding of ovarian carcinoma, we evaluated the expression of both HLA-G and HLA-E molecules and explored their prognostic implication. METHODS: HLA-G and HLA-E expression were studied by immunohistochemistry on ovarian carcinoma tissues. This expression was semi-quantitatively scored into four expression groups and correlated to clinicopathological parameters and patients' survival. RESULTS: HLA-G and HLA-E have been found to be highly expressed in ovarian carcinoma tissues (Respectively, 72.4% and 96.8%). They are frequently co-expressed. Univariate and multivariate analysis revealed that a positive HLA-G expression status in tumor tissue is a promising candidate parameter to predict disease recurrence in addition to the disease status in Tunisian patients with ovarian carcinoma. Moreover, the elevated HLA-E expression was associated with serous ovarian carcinoma subtype as well as with advanced stages of ovarian carcinoma. CONCLUSION: HLA-G and HLA-E are highly represented in ovarian carcinoma suggesting a potential association with progressive disease mechanism. HLA-G and HLA-E molecules might be new candidates' markers for ovarian carcinoma progression.
BACKGROUND: The humanleukocyte antigen (HLA)-G and HLA-E, non classical HLA class I molecules, have been highly implicated in immune tolerance. HLA-G and HLA-E molecules were proposed as putative markers of several advanced cancers. As a step towards a better understanding of ovarian carcinoma, we evaluated the expression of both HLA-G and HLA-E molecules and explored their prognostic implication. METHODS:HLA-G and HLA-E expression were studied by immunohistochemistry on ovarian carcinoma tissues. This expression was semi-quantitatively scored into four expression groups and correlated to clinicopathological parameters and patients' survival. RESULTS:HLA-G and HLA-E have been found to be highly expressed in ovarian carcinoma tissues (Respectively, 72.4% and 96.8%). They are frequently co-expressed. Univariate and multivariate analysis revealed that a positive HLA-G expression status in tumor tissue is a promising candidate parameter to predict disease recurrence in addition to the disease status in Tunisian patients with ovarian carcinoma. Moreover, the elevated HLA-E expression was associated with serous ovarian carcinoma subtype as well as with advanced stages of ovarian carcinoma. CONCLUSION:HLA-G and HLA-E are highly represented in ovarian carcinoma suggesting a potential association with progressive disease mechanism. HLA-G and HLA-E molecules might be new candidates' markers for ovarian carcinoma progression.
Authors: Esther Schwich; Vera Rebmann; Rafael Tomoya Michita; Hana Rohn; Jan Willem Voncken; Peter A Horn; Rainer Kimmig; Sabine Kasimir-Bauer; Paul Buderath Journal: Sci Rep Date: 2019-04-01 Impact factor: 4.379