Abstract |
Successful eradication of tumors by the immune system depends on generation of antigen-specific T cells that migrate to tumor sites and kill cancerous cells. However, presence of suppressive Treg populations inside tumor microenvironment hinders effector T cell function and decreases antitumor immunity. In this study we independently evaluated and confirmed prognostic signature of 17-Treg-related-lncRNA. Immune cell infiltration analysis using 17-lncRNA signature as a probe, accurately described Treg populations in tumor immune microenvironment. 17-lncRNA signature model predicted prognosis with excellent accuracy in all three cohorts: training cohort (AUC=0.82), testing cohort (AUC=0.61) and total cohort (AUC=0.72). The Kaplan-Meier analysis confirmed that the overall survival of patients in the low-risk group was significantly better than those in the high-risk group(P<0.001). CIBERSORT analysis confirmed that low risk group had higher infiltration of tumor killer CD8 T cells, memory activated CD4 T cells, follicular helper T cells and T cells regulatory (Tregs), and lower expression of M0 macrophages and Mast cells activated. These results indicate that the 17-lncRNA signature is a novel prognostic and support the use of lncRNA as a stratification tool to help guide the course of treatment and clinical decision making in patients at high risk of HNSCC.
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Authors | Qi Sun, Yumei Li, Xin Yang, Xinxin Wu, Zhen Liu, Yakui Mou, Xicheng Song |
Journal | Frontiers in immunology
(Front Immunol)
Vol. 12
Pg. 782216
( 2021)
ISSN: 1664-3224 [Electronic] Switzerland |
PMID | 34880875
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Copyright | Copyright © 2021 Sun, Li, Yang, Wu, Liu, Mou and Song. |
Chemical References |
- Biomarkers, Tumor
- RNA, Long Noncoding
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Topics |
- Biomarkers, Tumor
- Computational Biology
(methods)
- Databases, Genetic
- Female
- Gene Expression Profiling
- Gene Expression Regulation, Neoplastic
- Humans
- Immunomodulation
(genetics)
- Male
- Molecular Sequence Annotation
- Neoplasm Grading
- Neoplasm Staging
- Prognosis
- Proportional Hazards Models
- RNA, Long Noncoding
(genetics)
- ROC Curve
- Squamous Cell Carcinoma of Head and Neck
(diagnosis, genetics, mortality, therapy)
- T-Lymphocytes, Regulatory
(immunology, metabolism)
- Transcriptome
- Tumor Microenvironment
(genetics, immunology)
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