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

IF 2.5 3区医学 Q3 ONCOLOGY

Oncology Pub Date : 2024-09-20 DOI:10.1159/000540977

Wei Fang, Shan Chen, Di Wan, Yanhui Peng, Xiaoqin Yang

{"title":"Identification and Validation of an Invasion-Related Disease-Free Survival Prognostic Model for Tongue Squamous Cell Carcinoma.","authors":"Wei Fang, Shan Chen, Di Wan, Yanhui Peng, Xiaoqin Yang","doi":"10.1159/000540977","DOIUrl":null,"url":null,"abstract":"Introduction: Tongue squamous cell carcinoma (TSCC) <underline>is</underline> 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.","PeriodicalId":19497,"journal":{"name":"Oncology","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000540977","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

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.

查看原文本刊更多论文

舌鳞状细胞癌与侵袭相关的无病生存预后模型的鉴定与验证

简介舌鳞状细胞癌（TSCC）是一种常见的恶性肿瘤类型，具有侵袭性和不良预后。迄今为止，临床实践中还没有用于TSCC患者预后分层的侵袭相关基因表达特征。本研究旨在评估侵袭相关基因对TSCC患者预后的影响：我们从癌症基因组图谱（TCGA）和基因表达总库（GEO）数据库（分别为TCGA-TSCC和GSE41116）中获得了mRNA图谱和临床数据。TCGA-TSCC队列中的TSCC样本按7:3的比例随机分为TCGA训练数据集和TCGA测试数据集。然后，在对TCGA训练队列进行单变量和逐步多变量Cox回归分析的基础上，建立了无病生存（DFS）预后风险模型。此外，还筛选出了预后基因。随后，利用 TCGA 测试和 GSE41116 数据集对该模型进行了评估和验证。此外，还利用实时定量聚合酶链反应（qRT-PCR）分析在人类 TSCC 细胞系 UM1 和人类口腔角朊细胞（HOK）细胞系中验证了预后基因：结果：在TCGA-TSCC队列中共发现了70个与侵袭相关的候选基因。随后构建了DFS数据，并确定了6个预后基因：HMGN2、MYL12B、ACTB、PPP1CA、PSMB9和IFITM3。在TCGA训练队列、TCGA测试队列和GSE41116队列中，TSCC样本分别被分为高风险组和低风险组。其中，低风险组 TSCC 患者的 DFS 比高风险组长。此外，qRT-PCR分析证实，6个预后基因在TSCC细胞系UM1中的表达水平明显高于HOK细胞系：本研究发现了与TSCC患者不良预后相关的新的侵袭相关靶基因，为TSCC侵袭的内在机制提供了新的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Oncology 医学-肿瘤学

CiteScore

6.00

自引率

2.90%

发文量

审稿时长

6-12 weeks

期刊介绍： Although laboratory and clinical cancer research need to be closely linked, observations at the basic level often remain removed from medical applications. This journal works to accelerate the translation of experimental results into the clinic, and back again into the laboratory for further investigation. The fundamental purpose of this effort is to advance clinically-relevant knowledge of cancer, and improve the outcome of prevention, diagnosis and treatment of malignant disease. The journal publishes significant clinical studies from cancer programs around the world, along with important translational laboratory findings, mini-reviews (invited and submitted) and in-depth discussions of evolving and controversial topics in the oncology arena. A unique feature of the journal is a new section which focuses on rapid peer-review and subsequent publication of short reports of phase 1 and phase 2 clinical cancer trials, with a goal of insuring that high-quality clinical cancer research quickly enters the public domain, regardless of the trial’s ultimate conclusions regarding efficacy or toxicity.