Abstract

Checkpoint blockade-mediated immunotherapy is emerging as an effective treatment modality for multiple cancer types. However, cancer cells frequently evade the immune system, compromising the effectiveness of immunotherapy. It is crucial to develop screening methods to identify the patients who would most benefit from these therapies because of the risk of the side effects and the high cost of treatment. Here we show that expression of the MHC class I transactivator (CITA), NLRC5, is important for efficient responses to anti-CTLA-4 and anti-PD1 checkpoint blockade therapies. Melanoma tumors derived from patients responding to immunotherapy exhibited significantly higher expression of NLRC5 and MHC class I-related genes compared to non-responding patients. In addition, multivariate analysis that included the number of tumor-associated non-synonymous mutations, predicted neo-antigen load and PD-L2 expression was capable of further stratifying responders and non-responders to anti-CTLA4 therapy. Moreover, expression or methylation of NLRC5 together with total somatic mutation number were significantly correlated with increased patient survival. These results suggest that NLRC5 tumor expression, alone or together with tumor mutation load constitutes a valuable predictive biomarker for both prognosis and response to anti-CTLA-4 and potentially anti-PD1 blockade immunotherapy in melanoma patients.

Details

Title
NLRC5/CITA expression correlates with efficient response to checkpoint blockade immunotherapy
Author
Yoshihama Sayuri 1 ; Cho, Steven X 2 ; Yeung, Jason 3 ; Pan Xuedong 4 ; Lizee, Gregory 5   VIAFID ORCID Logo  ; Konganti Kranti 6 ; Johnson, Valen E 4 ; Kobayashi, Koichi S 7 

 Texas A&M Health Science Center, Department of Microbial Pathogenesis and Immunology, College Station, USA (GRID:grid.412408.b); Chiba University, Department of Gastroenterology and Nephrology, Graduate School of Medicine, Chiba, Japan (GRID:grid.136304.3) (ISNI:0000 0004 0370 1101) 
 Hokkaido University, Department of Immunology, Graduate School of Medicine, Sapporo, Japan (GRID:grid.39158.36) (ISNI:0000 0001 2173 7691) 
 Texas A&M Health Science Center, Department of Microbial Pathogenesis and Immunology, College Station, USA (GRID:grid.412408.b) 
 Texas A&M University, Department of Statistics, College Station, USA (GRID:grid.264756.4) (ISNI:0000 0004 4687 2082) 
 The University of Texas MD Anderson Cancer Center, Departments of Melanoma Medical Oncology and Immunology, Houston, USA (GRID:grid.240145.6) (ISNI:0000 0001 2291 4776) 
 Texas A&M University, Texas A&M Institute for Genome Science and Society, College Station, USA (GRID:grid.264756.4) (ISNI:0000 0004 4687 2082) 
 Texas A&M Health Science Center, Department of Microbial Pathogenesis and Immunology, College Station, USA (GRID:grid.412408.b); Hokkaido University, Department of Immunology, Graduate School of Medicine, Sapporo, Japan (GRID:grid.39158.36) (ISNI:0000 0001 2173 7691) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2486621057
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.