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Shen Y, Nussbaum YI, Manjunath Y, Hummel JJ, Ciorba MA, Warren WC, Kaifi JT, Papageorgiou C, Cortese R, Shyu CR, Mitchem JB. TBX21 Methylation as a Potential Regulator of Immune Suppression in CMS1 Subtype Colorectal Cancer. Cancers (Basel) 2022; 14:cancers14194594. [PMID: 36230517 PMCID: PMC9558549 DOI: 10.3390/cancers14194594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 09/08/2022] [Accepted: 09/12/2022] [Indexed: 11/16/2022] Open
Abstract
Cytotoxic T lymphocyte (CTL) infiltration is associated with survival, recurrence, and therapeutic response in colorectal cancer (CRC). Immune checkpoint inhibitor (ICI) therapy, which requires CTLs for response, does not work for most CRC patients. Therefore, it is critical to improve our understanding of immune resistance in this disease. We utilized 2391 CRC patients and 7 omics datasets, integrating clinical and genomic data to determine how DNA methylation may impact survival and CTL function in CRC. Using comprehensive molecular subtype (CMS) 1 patients as reference, we found TBX21 to be the only gene with altered expression and methylation that was associated with CTL infiltration. We found that CMS1 patients with high TBX21 expression and low methylation had a significant survival advantage. To confirm the role of Tbx21 in CTL function, we utilized scRNAseq data, demonstrating the association of TBX21 with markers of enhanced CTL function. Further analysis using pathway enrichment found that the genes TBX21, MX1, and SP140 had altered expression and methylation, suggesting that the TP53/P53 pathway may modify TBX21 methylation to upregulate TBX21 expression. Together, this suggests that targeting epigenetic modification more specifically for therapy and patient stratification may provide improved outcomes in CRC.
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Affiliation(s)
- Yuanyuan Shen
- Institute for Data Science & Informatics, University of Missouri, Columbia, MO 65211, USA
| | - Yulia I. Nussbaum
- Institute for Data Science & Informatics, University of Missouri, Columbia, MO 65211, USA
| | - Yariswamy Manjunath
- Harry S. Truman Memorial Veterans’ Hospital, University of Missouri, Columbia, MO 65211, USA
| | - Justin J. Hummel
- Institute for Data Science & Informatics, University of Missouri, Columbia, MO 65211, USA
| | - Matthew A. Ciorba
- School of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Wesley C. Warren
- Institute for Data Science & Informatics, University of Missouri, Columbia, MO 65211, USA
- Department of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Jussuf T. Kaifi
- Institute for Data Science & Informatics, University of Missouri, Columbia, MO 65211, USA
- Harry S. Truman Memorial Veterans’ Hospital, University of Missouri, Columbia, MO 65211, USA
- Department of Surgery, University of Missouri, Columbia, MO 65211, USA
- School of Medicine, University of Missouri, Columbia, MO 65211, USA
| | - Christos Papageorgiou
- School of Medicine, University of Missouri, Columbia, MO 65211, USA
- Ellis Fischel Cancer Center, University of Missouri, Columbia, MO 65211, USA
| | - Rene Cortese
- School of Medicine, University of Missouri, Columbia, MO 65211, USA
| | - Chi-Ren Shyu
- Institute for Data Science & Informatics, University of Missouri, Columbia, MO 65211, USA
- College of Engineering, University of Missouri, Columbia, MO 65211, USA
| | - Jonathan B. Mitchem
- Institute for Data Science & Informatics, University of Missouri, Columbia, MO 65211, USA
- Harry S. Truman Memorial Veterans’ Hospital, University of Missouri, Columbia, MO 65211, USA
- Department of Surgery, University of Missouri, Columbia, MO 65211, USA
- School of Medicine, University of Missouri, Columbia, MO 65211, USA
- Correspondence:
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