Zheng Dayuan, Luo Shiwei, Wang Sen, Huang Jiaqian, Zhou Yixing, Su Lijun, Chen Zhuoting, Wang Shunlan, He Weiping
The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Department of Otolaryngology, Guangzhou University of Traditional Chinese Medicine First Affiliated Hospital, Guangzhou, China.
Transl Cancer Res. 2022 Sep;11(9):3050-3063. doi: 10.21037/tcr-22-632.
Head and neck squamous cell carcinoma (HNSC) is the sixth most common cancer worldwide, and new cases are anticipated to reach 1.08 million in 2030. Our study aimed to identify the competing endogenous RNAs (ceRNAs) involved in HNSC tumorigenesis.
First, a pan-cancer correlation analysis was conducted on the expression and survival conditions of sideroflexin () based on data downloaded from the Xena database. Second, the upstream regulatory microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) of were predicted using the Encyclopedia of RNA Interactomes (ENCORI) database. Expression and survival analyses were subsequently used to construct lncRNA-miRNA-mRNA ceRNA network that correlated with HNSC. Third, the proportion of various types of immune cells in HNSC was calculated using the CIBERSORT algorithm. Finally, a correlation analysis was performed on , including immune cell infiltration (ICI), clinical stage, and immune checkpoints.
The pan-cancer analysis suggested that was up-regulated in HNSC, and it correlated with poor prognosis. The ceRNA regulatory network MIR193BHG-miR-29c-3p- was identified as one of the potential biological regulatory pathways of HNSC. The upstream lncRNA MIR193BHG was associated with a poor prognosis in HNSC, and its target gene was correlated with tumor ICI, immune cell biomarkers, and immune checkpoints.
By performing ceRNA analysis, our study demonstrated that MIR193HG-miR-29c-3p- is significantly involved in HNSC, and this action axis markedly affect the therapeutic effect and prognosis.
头颈部鳞状细胞癌（HNSC）是全球第六大常见癌症，预计到2030年新发病例将达到108万。我们的研究旨在鉴定参与HNSC肿瘤发生的竞争性内源性RNA（ceRNA）。
首先，基于从Xena数据库下载的数据，对铁转运蛋白（）的表达和生存情况进行泛癌相关性分析。其次，使用RNA相互作用组百科全书（ENCORI）数据库预测的上游调控微小RNA（miRNA）和长链非编码RNA（lncRNA）。随后进行表达和生存分析，以构建与HNSC相关的lncRNA-miRNA-mRNA ceRNA网络。第三，使用CIBERSORT算法计算HNSC中各种免疫细胞的比例。最后，对包括免疫细胞浸润（ICI）、临床分期和免疫检查点在内的进行相关性分析。
泛癌分析表明，在HNSC中上调，且与预后不良相关。ceRNA调控网络MIR193BHG-miR-29c-3p-被确定为HNSC潜在的生物学调控途径之一。上游lncRNA MIR193BHG与HNSC的不良预后相关，其靶基因与肿瘤ICI、免疫细胞生物标志物和免疫检查点相关。
通过进行ceRNA分析，我们的研究表明MIR193HG-miR-29c-3p-显著参与HNSC，且该作用轴明显影响治疗效果和预后。
