Research Paper Volume 14, Issue 13 pp 5537—5553
CENPA regulates tumor stemness in lung adenocarcinoma
- 1 Institute of Biology and Medicine, College of Life and Health Sciences, Wuhan University of Science and Technology, Hubei 430081, P.R. China
- 2 Department of Medical Laboratory, Central Hospital of Wuhan, Tong Ji Medical College, Hua Zhong University of Science and Technology, Hubei 430014, P.R. China
Received: March 6, 2022 Accepted: June 27, 2022 Published: July 11, 2022
https://doi.org/10.18632/aging.204167How to Cite
Copyright: © 2022 Yu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Lung adenocarcinoma is a malignant and fatal respiratory disease. However, due to its complex pathogenesis and poorly effective therapeutic options, accurate early diagnosis and prognosis remain elusive. Now, there is increasing evidence that tumor stem cells are involved in tumorigenesis, metastasis, relapse, resistance to chemotherapy and radiotherapy and are one of the reasons why tumors cannot be cured. The mRNA expression based-stemness index (mRNAsi) is a parameter obtained by Malta and his colleagues applying innovative one-class logistic regression machine learning algorithm (OCLR) on mRNA expression in normal stem cells and their progeny. It is a valid evaluation parameter and is currently employed to evaluate the degree of differentiation of a certain tumor. In this study, we first used WGCNA and the software Cytoscape to obtain key modules and hub genes. We then applied LASSO regression analysis to calculate the genes in the key module to obtain a six-gene risk model. Moreover, the accuracy of this model was validated. Finally, we took the intersection of hub genes and risk genes and validated CENPA as both a tumor stemness regulator and a tumor prognostic factor in lung cancer.
Abbreviations
OS: Overall Survival; mRNAsi: mRNA expression based-stemness index; GS: Gene significance; LUAD: Lung adenocarcinoma; WGCNA: Weighted gene co-expression network analysis; PP1: Protein-Protein Interaction; DEG: Differentially expressed genes; GEO: Gene Expression Omnibus.