A lncRNA signature associated with tumor immune heterogeneity predicts distant metastasis in locoregionally advanced nasopharyngeal carcinoma

Author:

Liang Ye-Lin,Zhang Yuan,Tan Xi-Rong,Qiao Han,Liu Song-Ran,Tang Ling-Long,Mao Yan-PingORCID,Chen Lei,Li Wen-Fei,Zhou Guan-Qun,Zhao YinORCID,Li Jun-Yan,Li Qian,Huang Sheng-Yan,Gong Sha,Zheng Zi-Qi,Li Zhi-Xuan,Sun YingORCID,Jiang WeiORCID,Ma JunORCID,Li Ying-QinORCID,Liu NaORCID

Abstract

AbstractIncreasing 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.

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry,Multidisciplinary

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