Open Access
ARTICLE
Novel defined N7-methylguanosine modification-related lncRNAs for predicting the prognosis of laryngeal squamous cell carcinoma
ZHAOXU YAO*, HAIBIN MA, LIN LIU, QIAN ZHAO, LONGCHAO QIN, XUEYAN REN, CHUANJUN WU, KAILI SUN
Department of Otolaryngology, Handan Central Hospital, Handan, 056001, China
* Corresponding Author: ZHAOXU YAO. Email:
BIOCELL 2023, 47(9), 1965-1975. https://doi.org/10.32604/biocell.2023.030796
Received 24 April 2023; Accepted 03 July 2023; Issue published 28 September 2023
Abstract
Objective: Through integrated bioinformatics analysis, the goal of this work was to find new, characterised N7-methylguanosine modification-related long non-coding RNAs (m7G-lncRNAs) that might be used to predict the prognosis of laryngeal squamous cell carcinoma (LSCC).
Methods: The clinical data and LSCC gene expression data for the current investigation were initially retrieved from the TCGA database & sanitised. Then, using co-expression analysis of m7G-associated mRNAs & lncRNAs & differential expression analysis (DEA) among LSCC & normal sample categories, we discovered lncRNAs that were connected to m7G. The prognosis prediction model was built for the training category using univariate & multivariate COX regression & LASSO regression analyses, & the model’s efficacy was checked against the test category data. In addition, we conducted DEA of prognostic m7G-lncRNAs among LSCC & normal sample categories & compiled a list of co-expression networks & the structure of prognosis m7G-lncRNAs. To compare the prognoses for individuals with LSCC in the high- & low-risk categories in the prognosis prediction model, survival and risk assessments were also carried out. Finally, we created a nomogram to accurately forecast the outcomes of LSCC patients & created receiver operating characteristic (ROC) curves to assess the prognosis prediction model’s predictive capability.
Results: Using co-expression network analysis & differential expression analysis, we discovered 774 m7G-lncRNAs and 551 DEm7G-lncRNAs, respectively. We then constructed a prognosis prediction model for six m7G-lncRNAs (
FLG−AS1,
RHOA−IT1,
AC020913.3,
AC027307.2,
AC010973.2 and
AC010789.1), identified 32 DEPm7G-lncRNAs, analyzed the correlation between 32 DEPm7G-lncRNAs and 13 DEPm7G-mRNAs, and performed survival analyses and risk analyses of the prognosis prediction model to assess the prognostic performance of LSCC patients. By displaying ROC curves and a nomogram, we finally checked the prognosis prediction model's accuracy.
Conclusion: By creating novel predictive lncRNA signatures for clinical diagnosis & therapy, our findings will contribute to understanding the pathogenetic process of LSCC.
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Supplementary Material
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Cite This Article
APA Style
YAO, Z., MA, H., LIU, L., ZHAO, Q., QIN, L. et al. (2023). Novel defined n7-methylguanosine modification-related lncrnas for predicting the prognosis of laryngeal squamous cell carcinoma. BIOCELL, 47(9), 1965-1975. https://doi.org/10.32604/biocell.2023.030796
Vancouver Style
YAO Z, MA H, LIU L, ZHAO Q, QIN L, REN X, et al. Novel defined n7-methylguanosine modification-related lncrnas for predicting the prognosis of laryngeal squamous cell carcinoma. BIOCELL . 2023;47(9):1965-1975 https://doi.org/10.32604/biocell.2023.030796
IEEE Style
Z. YAO et al., "Novel defined N7-methylguanosine modification-related lncRNAs for predicting the prognosis of laryngeal squamous cell carcinoma," BIOCELL , vol. 47, no. 9, pp. 1965-1975. 2023. https://doi.org/10.32604/biocell.2023.030796