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Gene & Protein in Disease
ORIGINAL RESEARCH ARTICLE
High expression of apoptosis-related LMNB2
predicts an unfavorable outcome: A potential
prognostic biomarker for liposarcoma
Xinyu Li 1,2† , Jialin Wu 1,2† , Man Yue , Mengwen Hou , Jiayang Han ,
1,2
1,2
1,2
1,2
1,2
Binbin Zhao , Tiantian Sun , Xu Han , Guangchao Liu , Kaifeng Zhang ,
1,2
1,2
1,2
Tinggai Wu , Ting Ye , Mengjie Tu , and Yang An *
1,2
1,2
1,2
1,2
1 Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan
University, Kaifeng, China
2 Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell
Signal Transduction, Henan University, Kaifeng, China
Abstract
Liposarcoma (LPS) is the most prevalent soft-tissue sarcoma and the second most
common malignant mesenchymal sarcoma. Molecular markers have proven
instrumental in guiding the diagnosis, prognosis, and treatment strategies for
LPS patients. Identifying potential therapeutic targets is essential for developing
effective intervention strategies for LPS. LMNB2, an apoptosis-related gene, exhibits
associations with various tumors. Therefore, exploring the feasibility of LMNB2 as a
prognostic biomarker for LPS is crucial. After screening for differentially expressed
† These authors contributed equally
to this work. genes (DEGs), which were analyzed by GEO2R, 14 apoptosis-related genes were
obtained by overlapping DEGs from the GSE21122 and GSE159659 datasets. SPSS
*Corresponding author: software was used for univariate analysis. Receiver operating characteristic curves
Yang An
(anyang@henu.edu.cn) were constructed by GraphPad software to compare the expression of LMNB2
between LPS and normal tissues. Kaplan–Meier curves were generated to verify the
Citation: Li X, Wu J, Yue M, et al.
High expression of apoptosis- correlation between LMNB2 expression and survival time. GeneMANIA and STRING
related LMNB2 predicts an were used to construct LMNB2-related gene-gene and protein–protein interaction
unfavorable outcome: A potential networks. Hiplot software facilitated function and pathway enrichment analysis
prognostic biomarker for
liposarcoma. Gene Protein Dis. to determine the potential mechanism of LMNB2-mediated LPS progression.
2024;3(1):2607. CIBERSORT was used to evaluate the correlation between LMNB2 expression and
https://doi.org/10.36922/gpd.2607 immune cell infiltration. The expression level of LMNB2 was significantly higher in
Received: January 1, 2024 LPS, and the high expression of LMNB2 was significantly related to poor prognosis
Accepted: February 27, 2024 in LPS patients. Further analysis indicated that LMNB2 was mainly involved in
Published Online: March 26, 2024 “senescence” and “apoptosis,” further confirming its role in regulating the occurrence
Copyright: © 2024 Author(s). and development of LPS by modulating the cell cycle progression and apoptosis.
This is an Open Access article This study demonstrates that the elevated expression of LMNB2 is significantly
distributed under the terms of the
Creative Commons Attribution associated with poor prognostic outcomes in LPS, suggesting that LMNB2 holds high
License, permitting distribution, and potential as a new biomarker for LPS. This study is designed to elucidate the potential
reproduction in any medium, which mechanism of LMNB2-mediated LPS progression, with the prospect of improving
provided that the original work is
properly cited. therapeutic development by identifying LMNB2 as a promising prognostic biomarker
for LPS.
Publisher’s Note: AccScience
Publishing remains neutral with
regard to jurisdictional claims in
published maps and institutional Keywords: LMNB2; Liposarcoma; Prognostic biomarker; Apoptosis
affiliations.
Volume 3 Issue 1 (2024) 1 https://doi.org/10.36922/gpd.2607

