Back to Search Start Over

Integration analysis of cell division cycle-associated family genes revealed potential mechanisms of gliomagenesis and constructed an artificial intelligence-driven prognostic signature.

Authors :
Yu, Kai
Tian, Qi
Feng, Shi
Zhang, Yonggang
Cheng, Ziqi
Li, Mingyang
Zhu, Hua
He, Jianying
Li, Mingchang
Xiong, Xiaoxing
Source :
Cellular Signalling. Jul2024, Vol. 119, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Cell division cycle-associated (CDCA) gene family members are essential cell proliferation regulators and play critical roles in various cancers. However, the function of the CDCA family genes in gliomas remains unclear. This study aims to elucidate the role of CDCA family members in gliomas using in vitro and in vivo experiments and bioinformatic analyses. We included eight glioma cohorts in this study. An unsupervised clustering algorithm was used to identify novel CDCA gene family clusters. Then, we utilized multi-omics data to elucidate the prognostic disparities, biological functionalities, genomic alterations, and immune microenvironment among glioma patients. Subsequently, the scRNA-seq analysis and spatial transcriptomic sequencing analysis were carried out to explore the expression distribution of CDCA2 in glioma samples. In vivo and in vitro experiments were used to investigate the effects of CDCA2 on the viability, migration, and invasion of glioma cells. Finally, based on ten machine-learning algorithms, we constructed an artificial intelligence-driven CDCA gene family signature called the machine learning-based CDCA gene family score (MLCS). Our results suggested that patients with the higher expression levels of CDCA family genes had a worse prognosis, more activated RAS signaling pathways, and more activated immunosuppressive microenvironments. CDCA2 knockdown inhibited the proliferation, migration, and invasion of glioma cells. In addition, the MLCS had robust and favorable prognostic predictive ability and could predict the response to immunotherapy and chemotherapy drug sensitivity. • An integration analysis of CDCA gene family in gliomas by multiple omics data. • Novel CDCA family clusters with distinct signaling, genomic features, TIME, and prognosis. • Experiments showed CDCA2 acted as an oncogene in gliomas by RAS signaling. • An artificial intelligence-driven CDCA family signature was developed. • The MLCS was a stable and robust biomarker for prognosis and immunotherapy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08986568
Volume :
119
Database :
Academic Search Index
Journal :
Cellular Signalling
Publication Type :
Academic Journal
Accession number :
177086352
Full Text :
https://doi.org/10.1016/j.cellsig.2024.111168