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A novel T-cell proliferation-associated gene predicts prognosis and reveals immune infiltration in patients with oral squamous cell carcinoma.

Authors :
Cui, Yunyi
Cheng, Yiming
Huang, Wei
Liu, Jianping
Zhang, Xiaoyan
Bu, Mingyang
Li, Xiangjun
Source :
Archives of Oral Biology. Aug2023, Vol. 152, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Oral squamous cell carcinoma (OSCC) is a highly malignant tumour, and the prediction of its prognosis remains challenging. The prognostic value of T-lymphocyte proliferation regulators in OSCC remains to be explored. We integrated mRNA expression profiles and relevant clinical information of OSCC patients from The Cancer Genome Atlas database. The expression and function of T-lymphocyte proliferation regulators and their relationship with overall survival (OS) were analysed. The T-lymphocyte proliferation regulator signature was screened using univariate Cox regression and least absolute shrinkage and selection operator coefficients and used to construct models for prognosis and staging prediction as well as for immune infiltration analysis. Final validation was performed using single-cell sequencing database and immunohistochemical staining. Most T-lymphocyte proliferation regulators in the TCGA cohort exhibited different expression levels between OSCC and paracancerous tissues. A prognostic model constructed using the T-lymphocyte proliferation regulator signature (RAN , CDK1 , and CDK2) was used to categorise patients into high- and low-risk groups. The OS was significantly lower in the high-risk group than the low-risk group (p < 0.01). The predictive ability of the T-lymphocyte proliferation regulator signature was validated by receiver operating characteristic curve analysis. Immune infiltration analysis revealed different immune statuses in both groups. We established a new T-lymphocyte proliferation regulator signature that can predict the prognosis of OSCC. The results of this study will contribute to studies of T-cell proliferation and the immune microenvironment in OSCC to improve prognosis and immunotherapeutic response. • TCGA RNA-seq data was used to assess the prognostic value of TCRs in OSCC. • A prognostic model was created using the RAN-CDK1-CDK2 TCR signature. • Overall survival was significantly lower in the high-risk group. • Immune infiltration and TCR gene expression differed between risk groups. • Immunohistochemical staining for RAN-CDK1-CDK2 TCR signature in OSCC tissues and precancerous tissues. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00039969
Volume :
152
Database :
Academic Search Index
Journal :
Archives of Oral Biology
Publication Type :
Academic Journal
Accession number :
164156285
Full Text :
https://doi.org/10.1016/j.archoralbio.2023.105719