Literature DB >> 21057081

HLA-E and HLA-G expression in classical HLA class I-negative tumors is of prognostic value for clinical outcome of early breast cancer patients.

Esther M de Kruijf1, Anita Sajet, Johanna G H van Nes, Russ Natanov, Hein Putter, Vincent T H B M Smit, Gerrit Jan Liefers, Peter J van den Elsen, Cornelis J H van de Velde, Peter J K Kuppen.   

Abstract

Nonclassical HLAs, HLA-E and HLA-G, are known to affect clinical outcome in various tumor types. We examined the clinical impact of HLA-E and HLA-G expression in early breast cancer patients, and related the results to tumor expression of classical HLA class I. Our study population (n = 677) consisted of all early breast cancer patients primarily treated with surgery in our center between 1985 and 1995. Tissue microarray sections of arrayed tumor and normal control material were immunohistochemically stained for HLA-E and HLA-G. For evaluation of HLA-E and HLA-G and the combined variable, HLA-EG, a binary score was used. Expression of classical HLA class I molecules was determined previously. HLA-E, HLA-G, and HLA-EG on breast tumors were classified as expression in 50, 60, and 23% of patients, respectively. Remarkably, only in patients with loss of classical HLA class I tumor expression, expression of HLA-E (p = 0.027), HLA-G (p = 0.035), or HLA-EG (p = 0.001) resulted in a worse relapse-free period. An interaction was found between classical and nonclassical HLA class I expression (p = 0.002), suggestive for a biological connection. We have demonstrated that, next to expression of classical HLA class I, expression of HLA-E and HLA-G is an important factor in the prediction of outcome of breast cancer patients. These results provide further evidence that breast cancer is immunogenic, but also capable of evading tumor eradication by the host's immune system, by up- or downregulation of HLA class Ia and class Ib loci.

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Year:  2010        PMID: 21057081     DOI: 10.4049/jimmunol.1002629

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  110 in total

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Review 2.  Harnessing adaptive natural killer cells in cancer immunotherapy.

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3.  NETWORK-REGULARIZED HIGH-DIMENSIONAL COX REGRESSION FOR ANALYSIS OF GENOMIC DATA.

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Journal:  Stat Sin       Date:  2014-07       Impact factor: 1.261

Review 4.  LILRB receptor-mediated regulation of myeloid cell maturation and function.

Authors:  William van der Touw; Hui-Ming Chen; Ping-Ying Pan; Shu-Hsia Chen
Journal:  Cancer Immunol Immunother       Date:  2017-06-21       Impact factor: 6.968

5.  High NKG2A expression contributes to NK cell exhaustion and predicts a poor prognosis of patients with liver cancer.

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Journal:  Oncoimmunology       Date:  2016-12-07       Impact factor: 8.110

Review 6.  Cancer treatment and the KIR-HLA system: an overview.

Authors:  Patrizia Leone; Valli De Re; Angelo Vacca; Franco Dammacco; Vito Racanelli
Journal:  Clin Exp Med       Date:  2017-02-10       Impact factor: 3.984

7.  Association of HLA-G +3142 C>G polymorphism and breast cancer in Tunisian population.

Authors:  Inès Zidi; Olfa Dziri; Nour Zidi; Refaat Sebai; Nadia Boujelebene; Amna Ben Hassine; Hamza Ben Yahia; Ahmed Baligh Laaribi; Wafa Babay; Hela Rifi; Amel Mezlini; Hanene Chelbi
Journal:  Immunol Res       Date:  2016-08       Impact factor: 2.829

8.  HLA-E expression by gynecological cancers restrains tumor-infiltrating CD8⁺ T lymphocytes.

Authors:  Marloes Gooden; Margit Lampen; Ekaterina S Jordanova; Ninke Leffers; J Baptist Trimbos; Sjoerd H van der Burg; Hans Nijman; Thorbald van Hall
Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-13       Impact factor: 11.205

9.  A critical role of non-classical MHC in tumor immune evasion in the amphibian Xenopus model.

Authors:  Nikesha Haynes-Gilmore; Maureen Banach; Eva-Stina Edholm; Edith Lord; Jacques Robert
Journal:  Carcinogenesis       Date:  2014-04-28       Impact factor: 4.944

10.  The NCI Transcriptional Pharmacodynamics Workbench: A Tool to Examine Dynamic Expression Profiling of Therapeutic Response in the NCI-60 Cell Line Panel.

Authors:  Anne Monks; Yingdong Zhao; Curtis Hose; Hossein Hamed; Julia Krushkal; Jianwen Fang; Dmitriy Sonkin; Alida Palmisano; Eric C Polley; Laura K Fogli; Mariam M Konaté; Sarah B Miller; Melanie A Simpson; Andrea Regier Voth; Ming-Chung Li; Erik Harris; Xiaolin Wu; John W Connelly; Annamaria Rapisarda; Beverly A Teicher; Richard Simon; James H Doroshow
Journal:  Cancer Res       Date:  2018-10-24       Impact factor: 12.701

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