Firmino Natalie, Martinez Victor D, Rowbotham David A, Enfield Katey S S, Bennewith Kevin L, Lam Wan L
Oral Oncol. 2016 Apr;55:43-48. doi: 10.1016/j.oraloncology.2016.01.012. Epub 2016 Feb 4.
As HPV-induced cases of oral malignancy increase, it is important to understand the molecular differences between HPV positive and negative head and neck squamous cell carcinoma (HNSCC). PIWI-interacting RNAs (piRNAs) are a class of small non-coding RNAs aberrantly expressed in cancer. We analyzed global piRNA expression patterns to define the HNSCC piRNA transcriptome and assess whether HPV infection status associates with changes in piRNA levels.
A total of 498 HNSCC small RNA sequencing libraries were acquired from the Cancer Genomics Hub (cgHUB) Data Repository and a custom sequence analysis pipeline was developed to deduce piRNA expression from raw sequencing data. Expression matrices were aligned to clinicopathological features in order to analyze piRNA expression patterns across different HNSCC groups. The association of a piRNA signature with HPV-positive patient survival was evaluated using a Cox proportional hazard model.
Analysis of piRNA levels between HNSCC and non-malignant tissues revealed distinct expression patterns, with 87 piRNAs exclusively expressed in tumor samples. HPV infection status affected the expression of 41 of these piRNAs. Eleven (26.8%) piRNAs were significantly downregulated in HPV16/18 tumors compared to other HPV types. Remarkably, expression of a combination of five-piRNAs in HPV-positive HNSCC tumors was associated with worse overall survival.
The expression of specific piRNAs is deregulated in HNSCC, and changes with both HPV status and type. Importantly, a five-piRNA signature is able to delineate a subset of HPV-positive HNSCC patients with poor outcome, highlighting the potential utility of piRNAs in patient management.
随着人乳头瘤病毒(HPV)诱发的口腔恶性肿瘤病例增加,了解HPV阳性和阴性头颈部鳞状细胞癌(HNSCC)之间的分子差异至关重要。PIWI相互作用RNA(piRNA)是一类在癌症中异常表达的小非编码RNA。我们分析了整体piRNA表达模式,以定义HNSCC的piRNA转录组,并评估HPV感染状态是否与piRNA水平变化相关。
从癌症基因组中心(cgHUB)数据存储库获取了总共498个HNSCC小RNA测序文库,并开发了一个定制的序列分析流程,以从原始测序数据中推断piRNA表达。将表达矩阵与临床病理特征进行比对,以分析不同HNSCC组中的piRNA表达模式。使用Cox比例风险模型评估piRNA特征与HPV阳性患者生存的相关性。
对HNSCC与非恶性组织之间的piRNA水平分析揭示了不同的表达模式,其中87种piRNA仅在肿瘤样本中表达。HPV感染状态影响了其中41种piRNA的表达。与其他HPV类型相比,11种(26.8%)piRNA在HPV16/18肿瘤中显著下调。值得注意的是,HPV阳性HNSCC肿瘤中五种piRNA组合的表达与较差的总生存期相关。
特定piRNA的表达在HNSCC中失调,并随HPV状态和类型而变化。重要的是,一种五种piRNA的特征能够区分出预后不良的HPV阳性HNSCC患者亚组,突出了piRNA在患者管理中的潜在效用。