Identification and Validation of an Invasion-Related Disease-Free Survival Prognostic Model for Tongue Squamous Cell Carcinoma

被引:0
作者
Fang, Wei [1 ]
Chen, Shan [2 ]
Wan, Di [1 ]
Peng, Yanhui [1 ]
Yang, Xiaoqin [1 ]
机构
[1] Southern Med Univ, Stomatol Hosp, Guangzhou, Peoples R China
[2] Sun Yat Sen Univ, Affiliated Hosp 1, Dept Stomatol, Guangzhou, Peoples R China
关键词
Invasion; Tongue squamous cell carcinoma; Disease-free survival prognostic risk model; Prognostic genes; Quantitative real-time polymerase chain reaction; MYOSIN-II; PROGRESSION; EXPRESSION; CATENIN; GENE;
D O I
10.1159/000540977
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Introduction: Tongue squamous cell carcinoma (TSCC) is a common malignant tumour type with aggressive invasion and a poor prognosis. To date, invasion-related gene expression signatures for the prognostic stratification of TSCC patients are unavailable in clinical practice. This study aimed to assess the impact of invasion-related genes on the prognosis of TSCC patients. Methods: We obtained mRNA profiles and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases (TCGA-TSCC and GSE41116, respectively). The TSCC samples from the TCGA-TSCC cohort were randomly divided into TCGA training and TCGA test datasets at a 7:3 ratio. Next, a disease-free survival (DFS) prognostic risk model was established on the basis of univariate and stepwise multivariate Cox regression analyses of the TCGA training cohort. Moreover, prognostic genes were screened. The model was subsequently evaluated and validated using the TCGA test and GSE41116 datasets. In addition, the prognostic genes were validated in the human TSCC cell line UM1 and the human oral keratinocyte (HOK) cell line using quantitative real-time polymerase chain reaction (qRT-PCR) analysis. Results: A total of 70 candidate genes related to invasion were identified in the TCGA-TSCC cohort. DFS data were subsequently constructed, and 6 prognostic genes, HMGN2, MYL12B, ACTB, PPP1CA, PSMB9, and IFITM3, were identified. The TSCC samples were divided into high- and low-risk groups in the TCGA training, TCGA test, and GSE41116 cohorts, respectively. In particular, patients with TSCC in the low-risk group had longer DFS than those in the high-risk group. Furthermore, qRT-PCR analysis confirmed that the expression levels of the 6 prognostic genes were significantly greater in the TSCC cell line UM1 than in the HOK cell line. Conclusion: This study identified new invasion-related target genes related to poor prognosis in TSCC patients, providing new insights into the underlying mechanisms of TSCC invasion.
引用
收藏
页码:237 / 252
页数:16
相关论文
共 50 条
[41]   A Prognostic Model Based on Clinicopathological Features and Inflammation- and Nutrition-Related Indicators Predicts Overall Survival in Surgical Patients With Tongue Squamous Cell Carcinoma [J].
Wei, Lai-Feng ;
Huang, Xu-Chun ;
Lin, Yi-Wei ;
Luo, Yun ;
Ding, Tian-Yan ;
Liu, Can-Tong ;
Chu, Ling-Yu ;
Xu, Yi-Wei ;
Peng, Yu-Hui ;
Guo, Hai-Peng .
TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2021, 20
[42]   A novel prognostic model for tongue squamous cell carcinoma based on the characteristics of tumour and its microenvironment: iBD score [J].
Yu, Pei ;
Wang, Weiwang ;
Zhuang, Zehang ;
Xie, Nan ;
Xu, Jieyun ;
Wang, Cheng ;
Hou, Jingsong ;
Han, Xiaozhe ;
Liu, Xiqiang .
HISTOPATHOLOGY, 2019, 74 (05) :766-779
[43]   A six-mRNA prognostic model to predict survival in head and neck squamous cell carcinoma [J].
Tian, Saisai ;
Menge, Guofeng ;
Zhang, Weidong .
CANCER MANAGEMENT AND RESEARCH, 2019, 11 :131-142
[44]   A PROGNOSTIC FIVE-LNCRNA EXPRESSION SIGNATURE FOR SURVIVAL PREDICTION IN PATIENTS WITH TONGUE SQUAMOUS CELL CARCINOMA [J].
Yu, Zijing ;
Xia, Lingyun ;
Leng, Weidong ;
Shi, Jun ;
He, Wei ;
Mao, Ming ;
Chai, Hongbo ;
Yan, Yan .
ACTA MEDICA MEDITERRANEA, 2022, 38 (03) :1641-1648
[45]   Establishment and validation of the prognostic risk model based on the anoikis-related genes in esophageal squamous cell carcinoma [J].
Cao, Shasha ;
Li, Ming ;
Cui, Zhiying ;
Li, Yutong ;
Niu, Wei ;
Zhu, Weiwei ;
Li, Junkuo ;
Duan, Lijuan ;
Lun, Shumin ;
Gao, Zhaowei ;
Zhang, Yaowen .
ANNALS OF MEDICINE, 2024, 56 (01)
[46]   Identification and Experimental Validation of Prognostic miRNA Signature and Ferroptosis-Related Key Genes in Cervical Squamous Cell Carcinoma [J].
Guo, Yan ;
Han, Yana ;
Zhang, Junjie ;
Zhou, Yanbin ;
Wei, Meiyan ;
Yu, Lijun .
CANCER MEDICINE, 2024, 13 (21)
[47]   Development and validation of a prognostic model related to pyroptosis-related genes for esophageal squamous cell carcinoma using bioinformatics analysis [J].
Zhang, Weiguang ;
Zhang, Peipei ;
Jiang, Junfei ;
Peng, Kaiming ;
Shen, Zhimin ;
Kang, Mingqiang .
JOURNAL OF THORACIC DISEASE, 2022, 14 (08) :2953-+
[48]   Construction and validation of a tumor mutational burden and immune-related prognostic model for predicting the prognosis of patients with lung squamous cell carcinoma [J].
Zhou, Yuting ;
Xu, Min ;
Zhao, Kai ;
Liu, Baodong .
JOURNAL OF THORACIC DISEASE, 2023, 15 (03) :1319-+
[49]   The LMR-SSIGN-MAPS model predicts disease-free survival in patients with localized clear cell renal cell carcinoma [J].
Wen, Hongzhuang ;
Zhang, Yong ;
Yang, Zhan ;
Zhai, Zhao ;
Han, Zhenwei ;
Wang, Hu ;
Wang, Mingshuai ;
Shi, Hongzhe ;
Chen, Xi ;
Wahafu, Wasilijiang ;
Guan, Kaopeng ;
Wang, Xiaolu .
VIDEOSURGERY AND OTHER MINIINVASIVE TECHNIQUES, 2023, 18 (02) :313-327
[50]   Identification of PANoptosis-related biomarkers and analysis of prognostic values in head and neck squamous cell carcinoma [J].
Yang, Ping ;
Huang, Guangzhao ;
Li, Yulin ;
Yu, Lang ;
Yin, Zili ;
Li, Qian .
SCIENTIFIC REPORTS, 2024, 14 (01) :9824