HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Identification and Validation of 17-lncRNA Related to Regulatory T Cell Heterogeneity as a Prognostic Signature for Head and Neck Squamous Cell Carcinoma.

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.
AuthorsQi Sun, Yumei Li, Xin Yang, Xinxin Wu, Zhen Liu, Yakui Mou, Xicheng Song
JournalFrontiers in immunology (Front Immunol) Vol. 12 Pg. 782216 ( 2021) ISSN: 1664-3224 [Electronic] Switzerland
PMID34880875 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
CopyrightCopyright © 2021 Sun, Li, Yang, Wu, Liu, Mou and Song.
Chemical References
  • Biomarkers, Tumor
  • RNA, Long Noncoding
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)

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: