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Published in: BMC Cancer 1/2024

Open Access 01-12-2024 | Research

RACGAP1 promotes the progression and poor prognosis of lung adenocarcinoma through its effects on the cell cycle and tumor stemness

Authors: Yafeng Liu, Tao Han, Rui Miao, Jiawei Zhou, Jianqiang Guo, Zhi Xu, Yingru Xing, Ying Bai, Jing Wu, Dong Hu

Published in: BMC Cancer | Issue 1/2024

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Abstract

Objection

Investigating the key genes and mechanisms that influence stemness in lung adenocarcinoma.

Methods

First, consistent clustering analysis was performed on lung adenocarcinoma patients using stemness scoring to classify them. Subsequently, WGCNA was utilized to identify key modules and hub genes. Then, machine learning methods were employed to screen and identify the key genes within these modules. Lastly, functional analysis of the key genes was conducted through cell scratch assays, colony formation assays, transwell migration assays, flow cytometry cell cycle analysis, and xenograft tumor models.

Results

First, two groups of patients with different stemness scores were obtained, where the high stemness score group exhibited poor prognosis and immunotherapy efficacy. Next, LASSO regression analysis and random forest regression were employed to identify genes (PBK, RACGAP1) associated with high stemness scores. RACGAP1 was significantly upregulated in the high stemness score group of lung adenocarcinoma and closely correlated with clinical pathological features, poor overall survival (OS), recurrence-free survival (RFS), and unfavorable prognosis in lung adenocarcinoma patients. Knockdown of RACGAP1 suppressed the migration, proliferation, and tumor growth of cancer cells.

Conclusion

RACGAP1 not only indicates poor prognosis and limited immunotherapy benefits but also serves as a potential targeted biomarker influencing tumor stemness.
Appendix
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Metadata
Title
RACGAP1 promotes the progression and poor prognosis of lung adenocarcinoma through its effects on the cell cycle and tumor stemness
Authors
Yafeng Liu
Tao Han
Rui Miao
Jiawei Zhou
Jianqiang Guo
Zhi Xu
Yingru Xing
Ying Bai
Jing Wu
Dong Hu
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2024
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-023-11761-x

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