鼻咽癌
免疫系统
生物标志物
转移
远处转移
肿瘤科
长非编码RNA
微阵列
医学
微阵列分析技术
生物
计算生物学
癌症研究
内科学
免疫学
癌症
放射治疗
基因
基因表达
核糖核酸
遗传学
作者
Ye‐Lin Liang,Yuan Zhang,Xiao-Ying Tan,Qiao Han,Songran Liu,Ling-Long Tang,Yan‐Ping Mao,Lei Chen,Wenfei Li,Guan‐Qun Zhou,Yin Zhao,Junyan Li,Qian Li,Sheng‐Yan Huang,Sha Gong,Zi‐Qi Zheng,Zhixuan Li,Ying Sun,Wei Jiang,Jun Ma,Ying‐Qin Li,Na Liu
标识
DOI:10.1038/s41467-022-30709-6
摘要
Increasing evidence has revealed the roles of long noncoding RNAs (lncRNAs) as tumor biomarkers. Here, we introduce an immune-associated nine-lncRNA signature for predicting distant metastasis in locoregionally advanced nasopharyngeal carcinoma (LA-NPC). The nine lncRNAs are identified through microarray profiling, followed by RT-qPCR validation and selection using a machine learning method in the training cohort (n = 177). This nine-lncRNA signature classifies patients into high and low risk groups, which have significantly different distant metastasis-free survival. Validations in the Guangzhou internal (n = 177) and Guilin external (n = 150) cohorts yield similar results, confirming that the signature is an independent risk factor for distant metastasis and outperforms anatomy-based metrics in identifying patients with high metastatic risk. Integrative analyses show that this nine-lncRNA signature correlates with immune activity and lymphocyte infiltration, which is validated by digital pathology. Our results suggest that the immune-associated nine-lncRNA signature can serve as a promising biomarker for metastasis prediction in LA-NPC.
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