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Identification and comprehensive analysis of super-enhancer related genes involved in epithelial-to-mesenchymal transition in lung adenocarcinoma.

Authors :
Liu Y
Source :
PloS one [PLoS One] 2023 Sep 05; Vol. 18 (9), pp. e0291088. Date of Electronic Publication: 2023 Sep 05 (Print Publication: 2023).
Publication Year :
2023

Abstract

Lung adenocarcinoma is a disease with a high mortality rate, and its mechanism is still unclear. Super-enhancers play an important role in gene expression and also affect the occurrence and development of lung adenocarcinoma, so more and more people pay attention to them. In order to explore the influence of super-enhancer related genes on tumor development, we identified super-enhancer regulated genes related to Epithelial-to-mesenchymal transition (EMT). By analyzing the single-cell sequencing data and the TCGA database of lung adenocarcinoma, we suggest that the up-regulation of TMSB10 in lung adenocarcinoma and its association with poor prognosis may be due to the regulation of super-enhancers during tumor cell metastasis. Using the TCGA lung adenocarcinoma data set, the samples were divided into TMSB10 high-expression group and low-expression group, and it was found that there were significant differences in immune infiltration between the high-expression group and the low-expression group. We parted 513 samples into eight TMSB10-related molecular subtypes using differentially expressed genes of high and low TMSB10 expression groups. We concentrated on four molecular subtypes with the most significant clusters, each with its own characteristics in terms of Immune cell infiltration, prognosis, or pathological stages. In order to predict the four molecular subtypes, we established a prediction model using random forest, and the external test results showed that the prediction accuracy of the model was 0.87. This study may provide potential help for the study of the mechanism of metastasis and invasion of lung adenocarcinoma cells and personalized treatment of lung adenocarcinoma.<br />Competing Interests: The authors have declared that no competing interests exist.<br /> (Copyright: © 2023 Yifei Liu. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Details

Language :
English
ISSN :
1932-6203
Volume :
18
Issue :
9
Database :
MEDLINE
Journal :
PloS one
Publication Type :
Academic Journal
Accession number :
37669296
Full Text :
https://doi.org/10.1371/journal.pone.0291088