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Tihagam RD, Lou S, Zhao Y, Liu KSY, Singh AT, Koo BI, Przanowski P, Li J, Huang X, Li H, Tushir-Singh J, Fejerman L, Bhatnagar S. The TRIM37 variant rs57141087 contributes to triple-negative breast cancer outcomes in Black women. EMBO Rep 2025; 26:245-272. [PMID: 39614126 PMCID: PMC11723928 DOI: 10.1038/s44319-024-00331-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 11/07/2024] [Accepted: 11/12/2024] [Indexed: 12/01/2024] Open
Abstract
Triple-negative breast cancer (TNBC) disproportionately affects younger Black women, who show more aggressive phenotypes and poorer outcomes than women of other racial identities. While the impact of socioenvironmental inequities within and beyond health systems is well documented, the genetic influence in TNBC-associated racial disparities remains elusive. Here, we report that cancer-free breast tissue from Black women expresses TRIM37 at a significantly higher level relative to White women. A reporter-based screen for regulatory variants identifies a non-coding risk variant rs57141087 in the 5' gene upstream region of the TRIM37 locus with enhancer activity. Mechanistically, rs57141087 increases enhancer-promoter interactions through NRF1, resulting in stronger TRIM37 promoter activity. Phenotypically, high TRIM37 levels drive neoplastic transformations in immortalized breast epithelial cells. Finally, context-dependent TRIM37 expression reveals that early-stage TRIM37 levels affect the initiation and trajectory of breast cancer progression. Together, our results indicate a genotype-informed association of oncogenic TRIM37 with TNBC risk in Black women and implicate TRIM37 as a predictive biomarker to better identify patients at risk of aggressive TNBC.
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Affiliation(s)
- Rachisan Djiake Tihagam
- Department of Medical Microbiology and Immunology, University of California Davis School of Medicine, Davis, CA, 95616, USA
| | - Song Lou
- Department of Medical Microbiology and Immunology, University of California Davis School of Medicine, Davis, CA, 95616, USA
| | - Yuanji Zhao
- Department of Medical Microbiology and Immunology, University of California Davis School of Medicine, Davis, CA, 95616, USA
| | - Kammi Song-Yan Liu
- Department of Medical Microbiology and Immunology, University of California Davis School of Medicine, Davis, CA, 95616, USA
| | - Arjun Tushir Singh
- Department of Medical Microbiology and Immunology, University of California Davis School of Medicine, Davis, CA, 95616, USA
- UC Davis Comprehensive Cancer Center, University of California Davis, Davis, CA, 95817, USA
| | - Bon Il Koo
- Department of Medical Microbiology and Immunology, University of California Davis School of Medicine, Davis, CA, 95616, USA
| | - Piotr Przanowski
- Department of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Jie Li
- UC Davis Bioinformatics Core, University of California at Davis, Davis, CA, 95817, USA
| | - Xiaosong Huang
- Department of Public Health Sciences, University of California Davis, Davis, CA, 95817, USA
| | - Hong Li
- Department of Public Health Sciences, University of California Davis, Davis, CA, 95817, USA
| | - Jogender Tushir-Singh
- Department of Medical Microbiology and Immunology, University of California Davis School of Medicine, Davis, CA, 95616, USA
- UC Davis Comprehensive Cancer Center, University of California Davis, Davis, CA, 95817, USA
| | - Laura Fejerman
- Department of Public Health Sciences, University of California Davis, Davis, CA, 95817, USA
| | - Sanchita Bhatnagar
- Department of Medical Microbiology and Immunology, University of California Davis School of Medicine, Davis, CA, 95616, USA.
- UC Davis Comprehensive Cancer Center, University of California Davis, Davis, CA, 95817, USA.
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Zhang X, Xing T, Zhao L, Zhang L, Gao F. Transcriptomic meta-analysis and exploration of differentially expressed gene functions in wooden breast myopathy of broilers. Poult Sci 2024; 103:104047. [PMID: 39068695 PMCID: PMC11332813 DOI: 10.1016/j.psj.2024.104047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 05/31/2024] [Accepted: 06/25/2024] [Indexed: 07/30/2024] Open
Abstract
Wooden breast (WB) myopathy is a common myopathy found in commercial broiler chickens worldwide. Although extensive research on WB has been conducted using transcriptomics, effectively screening and analyzing key target information remains a challenge. In this present study, 5 transcriptomic datasets obtained from the National Center for Biotechnology Information (NCBI) were used. A meta-analysis was conducted to identify meta-differentially expressed genes (meta-DEGs) involved in the response of broilers to WB myopathy. These meta-DEGs were further analyzed using Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), and Gene Set Enrichment Analysis (GSEA), supplemented by protein-protein interaction (PPI) network construction to pinpoint hub genes. These analyses help to reveal key genes, pathways, and biological processes associated with WB myopathy. The results showed that 645 up-regulated and 99 down-regulated significant meta-DEGs (|log2FC| ≥0.6, P-Meta < 0.05, and present in at least 4 datasets) were identified. GO analysis showed that multiple fibrosis-related pathways/biological processes, such as cell adhesion, connective tissue development, and collagen-rich extracellular matrix, as well as calcium ion binding were significantly upregulated. PPI analysis identified TGFB3, COL1A1, COL1A2, and COL3A1 as central hub genes involved in the fibrotic processes. KEGG analysis revealed significant upregulation of apoptosis and lysosomal pathways, with an enrichment of Ca2+-related signals and lysosomal cathepsins within the apoptosis pathway. Additionally, GSEA indicated a suppression of the tricarboxylic acid (TCA) cycle and the mitochondrial electron transport chain (ETC) in WB myopathy, with PPI analysis also identifying specific hub genes associated with these pathways. In conclusion, our comprehensive analysis of meta-DEGs elucidated key biological processes and pathways implicated in WB myopathy, including fibrosis, apoptosis, altered calcium signaling, and metabolic disruption. The identification of specific hub genes offers avenues for further investigation into the pathogenesis of this condition, potentially guiding targeted therapeutic strategies.
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Affiliation(s)
- Xinrui Zhang
- College of Animal Science and Technology, Key Laboratory of Animal Origin Food Production and Safety Guarantee of Jiangsu Province, Jiangsu Collaborative Innovation Center of Meat Production and Processing, Quality and Safety Control, Nanjing Agricultural University, Nanjing 210095, People' s Republic of China
| | - Tong Xing
- College of Animal Science and Technology, Key Laboratory of Animal Origin Food Production and Safety Guarantee of Jiangsu Province, Jiangsu Collaborative Innovation Center of Meat Production and Processing, Quality and Safety Control, Nanjing Agricultural University, Nanjing 210095, People' s Republic of China
| | - Liang Zhao
- College of Animal Science and Technology, Key Laboratory of Animal Origin Food Production and Safety Guarantee of Jiangsu Province, Jiangsu Collaborative Innovation Center of Meat Production and Processing, Quality and Safety Control, Nanjing Agricultural University, Nanjing 210095, People' s Republic of China
| | - Lin Zhang
- College of Animal Science and Technology, Key Laboratory of Animal Origin Food Production and Safety Guarantee of Jiangsu Province, Jiangsu Collaborative Innovation Center of Meat Production and Processing, Quality and Safety Control, Nanjing Agricultural University, Nanjing 210095, People' s Republic of China
| | - Feng Gao
- College of Animal Science and Technology, Key Laboratory of Animal Origin Food Production and Safety Guarantee of Jiangsu Province, Jiangsu Collaborative Innovation Center of Meat Production and Processing, Quality and Safety Control, Nanjing Agricultural University, Nanjing 210095, People' s Republic of China.
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