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Liu C, Li Y, Xing X, Zhuang J, Wang J, Wang C, Zhang L, Liu L, Feng F, Li H, Gao C, Yu Y, Liu J, Sun C. Immunogenomic landscape analyses of immune molecule signature-based risk panel for patients with triple-negative breast cancer. Mol Ther Nucleic Acids 2022; 28:670-684. [PMID: 35614988 PMCID: PMC9123090 DOI: 10.1016/j.omtn.2022.04.034] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 04/28/2022] [Indexed: 12/27/2022]
Abstract
Triple-negative breast cancer (TNBC) presented as high heterogeneous immunogenicity that lacks useful clinical signatures to risk-stratify immune-benefit subtypes. We hypothesized that molecular-based phenotypic characterization of TNBC tumors and their immunity may overcome these challenges. We enrolled 1,145 patients with TNBC for analysis. Through combining algorithm integration analysis and TNBC datasets, a tumor immune risk score (TIRS) panel consisting of 8 potential biomarkers was identified. The TIRS panel represented excellent effectiveness as an independent predictor. High- and low risk stratification of patients was further achieved by TIRS, and significant survival and immune-infiltration pattern differences were found in each cohort, both at the transcriptome and protein levels. Non-negative matrix factorization clustering further identified four different tumor immune microenvironment types (TIMTs), among which TIMT-II was associated with the best prognosis and immune status, whereas TIMT-IV had the opposite effect, TIMT-III was associated with highly unstable genomes, and TIMT-I displayed stem-cell-related characteristics along with high stromal scores and may have extensive enrichment of tumor-associated fibroblasts and vascular cells. In conclusion, our TIRS panel could serve as a robust prognostic signature and provide therapeutic benefits for immunotherapy. Additionally, coordinating four TIMTs may be helpful for clinical decision-making in TNBC patients.
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Affiliation(s)
- Cun Liu
- First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Ye Li
- First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Xiaoming Xing
- Department of Pathology, The Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - Jing Zhuang
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang 261000, China
| | - Jigang Wang
- Department of Pathology, The Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - Chunyan Wang
- Department of Physics and Optoelectronic Engineering, Weifang University, Weifang 261000, China
| | - Lujun Zhang
- Department of Physics and Optoelectronic Engineering, Weifang University, Weifang 261000, China
| | - Lijuan Liu
- Department of Special Medicine, School of Basic Medicine, Qingdao University, Qingdao 266000, China
| | - Fubin Feng
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang 261000, China.,Department of Special Medicine, School of Basic Medicine, Qingdao University, Qingdao 266000, China
| | - Huayao Li
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Chundi Gao
- First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Yang Yu
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Jingyang Liu
- First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Changgang Sun
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang 261000, China.,College of Traditional Chinese Medicine, Weifang Medical University, Weifang 261000, China.,Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao 266000, China
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