Department of Ear-Nose-Throat, Maoming People's Hospital, Maoming, China.
Department of Urology, Maoming People's Hospital, Maoming, China.
J Oral Pathol Med. 2021 Oct;50(9):891-901. doi: 10.1111/jop.13186. Epub 2021 May 19.
Early detection and prognostic prediction are crucial in improving the survival of patients with head and neck squamous cell carcinoma (HNSCC). Therefore, we provided potential molecular markers in this study for early diagnosis and prognosis of this cancer based on The Cancer Genome Atlas (TCGA) database analysis and experimental validations.
Differentially expressed genes (DEGs) between HNSCC tumor and normal samples were identified by TCGA database-based analyses. Univariate and multivariate Cox regression analyses were applied, respectively, to identify survival-related DEGs and independent prognostic factors in HNSCC. Further, RT-qPCR was employed to verify expression of DEGs in cancer and adjacent tissues from HNSCC patients recruited in our hospital, in which we also clarified the correlation between candidate genes and clinicopathological characteristics and prognosis of HNSCC patients.
TCGA data analyses yielded 59 DEGs. Cox analyses identified 13 candidate genes closely related to prognosis of HNSCC patients and established a five-gene signature comprising AC103702.2, LINC00941, RPL29, FOXL2, and CCL11. This five-gene signature could classify patients into high- and low-risk groups. The survival rate of the high-risk group was significantly lower than that of the low-risk group. Clinical tissue experiments further confirmed that AC103702.2, LINC00941, CCL11, and RPL29P19 genes were inversely associated with the prognosis of HNSCC patients, while CCL11 gene was positively associated. We also found that high-risk HNSCC patients presented a higher incidence of lymph node metastasis.
Five prognostic marker genes (AC103702.2, LINC00941, CCL11, RPL29P19, and FOXL2) as a gene cluster may serve as prognostic marker genes in HNSCC.
在提高头颈部鳞状细胞癌（HNSCC）患者的生存率方面，早期检测和预后预测至关重要。因此，我们基于癌症基因组图谱（TCGA）数据库分析和实验验证，为这种癌症的早期诊断和预后提供了潜在的分子标志物。
通过 TCGA 数据库分析鉴定 HNSCC 肿瘤与正常样本之间的差异表达基因（DEGs）。分别应用单变量和多变量 Cox 回归分析，确定 HNSCC 中与生存相关的 DEGs 和独立预后因素。进一步，采用 RT-qPCR 验证了我院 HNSCC 患者癌组织及癌旁组织中 DEGs 的表达情况，并阐明候选基因与 HNSCC 患者临床病理特征和预后的相关性。
TCGA 数据分析产生了 59 个 DEGs。Cox 分析确定了 13 个与 HNSCC 患者预后密切相关的候选基因，并建立了一个由 AC103702.2、LINC00941、RPL29、FOXL2 和 CCL11 组成的五基因特征。该五基因特征可将患者分为高风险和低风险组。高风险组的生存率明显低于低风险组。临床组织实验进一步证实，AC103702.2、LINC00941、CCL11 和 RPL29P19 基因与 HNSCC 患者的预后呈负相关，而 CCL11 基因与预后呈正相关。我们还发现，高风险 HNSCC 患者的淋巴结转移发生率较高。
五个预后标志物基因（AC103702.2、LINC00941、CCL11、RPL29P19 和 FOXL2）作为一个基因簇，可能作为 HNSCC 的预后标志物基因。
