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HLA-E as an Emerging Checkpoint and Biomarker in Personalized Cancer Immunotherapy
Rajeswary Sanmugawil1,2, Lhoshiny Parmeswaran1,2, Nafisah Abdul Rahman3
1Department of Biomedical Science, Pusat Kanser Tun Abdullah Ahmad Badawi, Universiti Sains Malaysia, 13200, Bertam, Kepala Batas, Penang, Malaysia.
Abstract:
Human leukocyte antigen (HLA) molecules play a predominant role in cancer immunotherapy by harnessing the immune system's capacity to differentiate between healthy and malignant cells. Most human cell types express HLA class I molecules, which interact with T-cell receptors (TCRs) to activate T cells and initiate adaptive immunological responses. The efficacy of several immunotherapeutic strategies, including checkpoint inhibitors, CAR-T-cell therapy, and personalized cancer vaccines, is significantly influenced by HLA diversity and polymorphisms. Human leukocyte antigen E (HLA-E) is a non-classical major histocompatibility complex class I (MHC-I) protein that plays a crucial role in immune regulation. Unlike classical HLA molecules, HLA-E exhibits unique immunosuppressive properties that influence tumor immune evasion mechanisms. Recent studies have highlighted the importance of HLA-E expression in various hematological malignancies and solid tumors. HLA-E interacts with inhibitory receptors on natural killer (NK) cells and certain T-cell subsets, thereby modulating immune responses against tumor cells. The expression of HLA-E on tumor cells can lead to immune escape by inhibiting the cytotoxic activity of NK and CD8+ T cells, which are critical for effective anti-tumor immunity. This review summarizes how HLA-E presents antigens, discusses recent advances in identifying HLA-E-restricted peptides, and evaluates current HLA-E-dependent and HLA-E-independent adoptive immunotherapies. Understanding the role of HLA-E in tumor immune evasion provides valuable insights for developing novel personalized cancer immunotherapies. Targeting HLA-E has the potential to increase the effectiveness of current treatments and improve patient prognosis across diverse cancer types.
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