State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P.R. China.
Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P.R. China.
Nat Commun. 2022 May 30;13(1):2996. doi: 10.1038/s41467-022-30709-6.
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.
越来越多的证据揭示了长非编码 RNA(lncRNA)作为肿瘤标志物的作用。在这里,我们引入了一个与免疫相关的九 lncRNA 特征,用于预测局部晚期鼻咽癌(LA-NPC)的远处转移。这九个 lncRNA 通过微阵列分析确定,然后通过 RT-qPCR 验证,并在训练队列中使用机器学习方法进行选择(n=177)。这个九 lncRNA 特征将患者分为高风险和低风险组,两组的无远处转移生存率有显著差异。在广州内部队列(n=177)和桂林外部队列(n=150)的验证中得到了类似的结果,证实该特征是远处转移的独立危险因素,在识别具有高转移风险的患者方面优于基于解剖学的指标。综合分析表明,这个九 lncRNA 特征与免疫活性和淋巴细胞浸润相关,这通过数字病理学得到了验证。我们的研究结果表明,与免疫相关的九 lncRNA 特征可以作为 LA-NPC 转移预测的有前途的生物标志物。