文献类型：期刊文献

英文题名：Disulfidptosis - related lncRNAs are biomarkers of prognosis and immune response in Head and Neck Squamous Cell Carcinoma

作者：Wang, Ruilin[1];Zhang, Qi[1];Ma, Yuxiu[1];Liu, Xuelin[1];Lan, Tian[1];Li, Hongling[2]

第一作者：Wang, Ruilin

通信作者：Li, HL[1]

机构：[1]Gansu Univ Tradit Chinese Med, Clin Med Coll 1, Lanzhou, Gansu, Peoples R China;[2]Gansu Prov Hosp, Dept Oncol, Lanzhou, Gansu, Peoples R China

第一机构：甘肃中医药大学

通信机构：[1]corresponding author), Gansu Prov Hosp, Dept Oncol, Lanzhou, Gansu, Peoples R China.

年份：2025

卷号：91

期号：5

外文期刊名：BRAZILIAN JOURNAL OF OTORHINOLARYNGOLOGY

收录：;Scopus(收录号：2-s2.0-105005085539);WOS:【SCI-EXPANDED(收录号:WOS:001494403400001)】；

基金：This work has been supported by National Health and Health Commission Key Laboratory Fund Project "Study on the immune escape mechanism of EBV-associated gastric cancer based on the EBV-miR-BART5-enhancer-PDL1/PD1 axis" (NHCDP2022005) ; Natural Science Foundation of Gansu Province Project "EBV virus-derived miRNA-BART18-3 P participates in gastric cancer development through the adipose de novo synthesis pathway Participation in Gastric Cancer Development" (24JRRA586) ; Gansu Provincial Science and Technology Department Joint Fund Project "Key Molecular Mechanisms and Clinical Diagnosis and Treatment of Colorectal Cancer Occurrence, Recurrence, and Metastasis" (23JRRA1545) ; Gansu Provincial People's Hospital 2022 Master's Degree/Postdoctoral Fund Project "HPV16-miR-1 Promotes Tongue Squamous Carcinoma Proliferation and Metastasis via Regulating CERK/PI3K/AKT Axis Study on the role of HPV16-miR-1 in promoting the proliferation and metastasis of tongue squamous carcinoma through regulating the CERK/PI3K/AKT axis" (22GSSYD-44) .

语种：英文

外文关键词：Head and Neck Squamous Cell Carcinoma; Disulfidptosis; Biomarkers; Prognosis; lncRNA

摘要：Objective: This study aims to explore the role of Disulfidptosis-Related long Non-Coding RNAs (DRlncRNAs) in the prognosis and immune infiltration of Head and Neck Squamous Cell Carcinoma (HNSCC). Methods: Using bioinformatics approaches, this study investigates the prognostic significance of DRlncRNAs in HNSCC patients and their potential association with the immune microenvironment. RNA sequencing data and clinical information for HNSCC were obtained from The Cancer Genome Atlas (TCGA) database. DRlncRNAs were identified through Pearson correlation analysis, and a prognostic model consisting of six DRlncRNAs was constructed using Least Absolute Shrinkage and Selection Operator (LASSO) regression, along with univariate and multivariate Cox analyses. Results: The predictive performance of the model was assessed using Receiver Operating Characteristic (ROC) curves and Principal Component Analysis (PCA), and further validated using calibration curves, a nomogram, and univariate/multivariate Cox analyses. In addition to functional enrichment analysis, the associations between the model and Tumor Mutation Burden (TMB), immune cell infiltration, and drug sensitivity were also examined. Conclusion: We developed a novel predictive model composed of six DRlncRNAs to predict the prognosis of HNSCC patients and proposed potential clinical therapeutic targets from the perspective of disulfidptosis. Level of evidence: Level 5.