RESEARCH ARTICLE


A 16 Epithelia-mesenchymal Transition Associated LncRNAs Signature to Optimize Prognosis Predication of Stomach Adenocarcinoma



Yanhua Yan1, #, Xinru He2, #, Yanfen Chen1, Yuancheng Huang1, Xiaotao Jiang1, Junhui Zheng1, Xu Chen3, *
1 Guangzhou University of Chinese Medicine, Guangzhou, China
2 Shanghai University of Traditional Chinese Medicine, Shanghai, China
3 Department of Gastroenterology, The first Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China


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Creative Commons License
© 2023 Yan et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Department of Gastroenterology, The first Affiliated Hospital of Guangzhou University of Chinese Medicine, 16 Jichang Road, Guangzhou, China; Email: 61519764@qq.com
#These authors contributed equally to this work and should be considered as co-first authors


Abstract

Aim:

The study aimed to identify critical long non-coding RNAs (lncRNAs) and constructed a prognostic signature to optimize prognosis predication of patients with Stomach Adenocarcinoma (STAD).

Background:

STAD is a common malignant tumor with a high metastasis rate and low survival rate. LncRNAs participate in the regulation process of epithelial-mesenchymal transition (EMT) and the development of STAD.

Methods:

RNAseq data were obtained from TCGA-STAD, while 200 EMT-associated genes (EAGs) from the ‘HALLMARK_EPITHELIAL_MESENCHYMA-L _TRANSITION’ gene set. Differentially expressed EAGs and EMT-associated lncRNAs (EALs) were identified. Moreover, Lasso-Cox regression analysis was used to construct a signature of differentially expressed EALs, and univariate and multivariate analyses, Kaplan-Meier analysis, receiver operating characteristic curve (ROC) analysis, and nomogram were conducted to predict its prognostic value. An enrichment functional analysis was performed. Quantitative Real-Time PCR (qRT-PCR) was used to determine lncRNAs expressions in cell lines.

Results:

A total of 52 differentially expressed EAGs and 320 EALs were identified in this study. Meanwhile, 16 EALs were used to construct the signature, and further analysis indicated that it had a high prognostic value for STAD patients. Enrichment functional analysis revealed the signature was correlated to tumor immunity in STAD. Moreover, three novel EALs expressions were confirmed in cell lines.

Conclusion:

A novel survival signature was established to predict and evaluate the prognosis of STAD patients.

Keywords: Epithelial-mesenchymal transition, Long non-coding RNAs, Prognosis prediction, Stomach adenocarcinoma, Immune infiltration, AC245041.2, LINC02544, AP001528.2.