Shen Yupeng, Shi Yong, Liu Xin, Zhang Ming, Zhou Liang, Xu Chengzhi
Department of Otolaryngology-Head and Neck Surgery, The first hospital of Hebei Medical University, Shijiazhuang, 050000, China.
ENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China.
Comb Chem High Throughput Screen. 2024 Oct 14. doi: 10.2174/0113862073331908241002044719.
In this study, we aimed to identify novel biomarkers related to Peripheral Neural Invasion (PNI) in head and neck squamous cell carcinoma (HNSCC).
The PNI-related differentially expressed mRNAs (DE-mRNAs) in HNSCC were identified to construct a PNI-related risk score model. The expression level and ROC curve for Tachykinin Precursor 1 (TAC1) were calculated. Additionally, two kinds of in vitro models of PNI were established for investigation, including the Matrigel-PNI model and the Transwell-PNI model. Furthermore, the transcription factor of the TAC1 was predicted and verified by qRTPCR.
A total of 139 DE-mRNAs were identified in PNI positive and negative groups of HNSCC patients. The risk-score marker model incorporating 20 PNI-related DE-mRNAs was established. The TAC1 was identified as a potential highly expressed PNI marker, which exhibited good performance in predicting PNI events. Patients with higher TAC1 expressions demonstrated significantly shorter survival rates compared to those with lower TAC1 expressions in HNSCC. Besides, the knockdown of TAC1 significantly repressed neural invasion in HNSCC cells in vitro, according to the Matrigel-PNI model and Transwell-PNI model. Furthermore, KLF15 was predicted and verified as a transcription activator of TAC1 in HNSCC.
This study highlights that the activation of KLF15 transcription of TAC1 promotes PNI in HNSCC cells, which provides guidance regarding the molecular diagnosis of PNI in HNSCC cells.
在本研究中,我们旨在鉴定与头颈部鳞状细胞癌(HNSCC)外周神经侵犯(PNI)相关的新型生物标志物。
鉴定HNSCC中与PNI相关的差异表达mRNA(DE-mRNA),以构建与PNI相关的风险评分模型。计算速激肽前体1(TAC1)的表达水平和ROC曲线。此外,建立了两种PNI体外模型进行研究,包括基质胶-PNI模型和Transwell-PNI模型。此外,通过qRTPCR预测并验证了TAC1的转录因子。
在HNSCC患者的PNI阳性和阴性组中总共鉴定出139个DE-mRNA。建立了包含20个与PNI相关的DE-mRNA的风险评分标记模型。TAC1被鉴定为潜在高表达的PNI标志物,在预测PNI事件方面表现良好。在HNSCC中,TAC1表达较高的患者与TAC1表达较低的患者相比,生存率显著缩短。此外,根据基质胶-PNI模型和Transwell-PNI模型,敲低TAC1可显著抑制HNSCC细胞的神经侵犯。此外,KLF15被预测并验证为HNSCC中TAC1的转录激活因子。
本研究强调KLF15对TAC1的转录激活促进了HNSCC细胞中的PNI,这为HNSCC细胞中PNI的分子诊断提供了指导。