ArticleJournal of cancer research and clinical oncology2020
Identification of cancer stem cell-related biomarkers in lung adenocarcinoma by stemness index and weighted correlation network analysis.
Article in Journal of cancer research and clinical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 38 citations in OpenAlex.
- UpregulatedImmunoTargets and therapy · 2026Article
- CD24 is a promising immunotherapeutic target for enhancing efficacy of third-generation EGFR-TKIs on EGFR-mutated lung cancer.Cancer communications (London, England) · 2025Article
- Integrative stemness- and EMT-related gene signatures associated with prognosis and the immune microenvironment in lung adenocarcinoma.Discover oncology · 2025Article
- Application of artificial intelligence-based stemness index in cancer.Frontiers in oncology · 2025Review
- A Risk Model Developed based on Homologous Recombination Deficiency Genes for Evaluating the Drug Sensitivity and Prognostic Prediction of Lung Adenocarcinoma.Current medicinal chemistry · 2025Article
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- A literature review: machine learning-based stem cell investigation.Annals of translational medicine · 2024Review
- Advancements and applications of single-cell multi-omics techniques in cancer research: Unveiling heterogeneity and paving the way for precision therapeutics.Biochemistry and biophysics reports · 2024Review
- LINC01614 is a promising diagnostic and prognostic marker in HNSC linked to the tumor microenvironment and oncogenic function.Frontiers in genetics · 2024Article
- ALDH2 as a potential stem cell-related biomarker in lung adenocarcinoma: Comprehensive multi-omics analysis.Computational and structural biotechnology journal · 2023Article
- Bioinformatic Analysis and In Vitro and In Vivo Experiments Reveal That Fibrillarin Participates in the Promotion of Lung Metastasis in Hepatocellular Carcinoma.Bioengineering (Basel, Switzerland) · 2022Article
- Development of a 5-Gene Signature to Evaluate Lung Adenocarcinoma Prognosis Based on the Features of Cancer Stem Cells.BioMed research international · 2022Article
- LncRNA FAM83A-AS1 facilitates tumor proliferation and the migration via the HIF-1α/ glycolysis axis in lung adenocarcinoma.International journal of biological sciences · 2022Article
- Integrated Bioinformatics Analysis Identifies a New Stemness Index-Related Survival Model for Prognostic Prediction in Lung Adenocarcinoma.Frontiers in genetics · 2022Article
- RecQ Helicase Somatic Alterations in Cancer.Frontiers in molecular biosciences · 2022Review
- Immune- and Stemness-Related Genes Revealed by Comprehensive Analysis and Validation for Cancer Immunity and Prognosis and Its Nomogram in Lung Adenocarcinoma.Frontiers in immunology · 2022Article
- Identification of a Novel Cancer Stemness-Associated ceRNA Axis in Lung Adenocarcinoma via Stemness Indices Analysis.Oncology research · 2021Article
- [Progress in Single-cell RNA Sequencing of Lung Adenocarcinoma].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2021Review
- [Identification of Hub Genes for Ovarian Cancer Stem Cell Properties with Weighted Gene Co-expression Network Analysis].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2021Article
- miR-328-3p promotes migration and invasion by targeting H2AFX in head and neck squamous cell carcinoma.Journal of Cancer · 2021Article
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundAccounting for tumor heterogeneity, cancer stem cells (CSC) are involved in tumor metastasis, relapse, and drug resistance. Genes regulating CSC characteristics in lung adenocarcinoma (LUAD) were explored and validated in this study.
methodsThe mRNA stemness index (mRNAsi) of more than 500 LUAD cases from The Cancer Genome Atlas database were calculated using a one-class logistic regression machine learning algorithm based on the mRNA expression of pluripotent stem cells and their differentiated progeny. mRNAsi-related key genes were identified by weighted correlation network analysis. The expression levels and prognostic roles of key genes were analyzed in Oncomine, PrognoScan, and Kaplan-Meier plotter databases, and validated using data from our center.
resultsThe mRNAsi was significantly higher in LUAD compared with normal lung tissues. LUAD patients of advanced stage exhibited a higher mRNAsi and worse overall survival (OS). Eight key genes were identified: heat shock 70 kDa protein 4 (HSPA4), cell division cycle associated 7 (CDCA7), cell division cycle 20 (CDC20), cyclin-dependent kinase 1 (CDK1), CAP-GLY domain containing linker protein 1 (CLIP1), cyclin B1 (CCNB1), H2A histone family, member X (H2AFX), and Bloom syndrome, RecQ helicase-like (BLM). These genes were differentially expressed in various types of malignancies and validated in the LUAD cases. LUAD patients with low expression of CDC20, CDK1, CCNB1, H2AFX, or BLM had a significantly better OS, whereas OS was reduced for patients with low expression of CLIP1. In addition, the expression of CDCA7 did not significantly impact the OS of LUAD patients. The protein-protein interaction networks evaluated by STRING demonstrated strong relationships between these key genes, which were validated in our cases.
conclusionsThe mRNAsi was significantly higher in LUAD compared with normal samples. Eight mRNAsi-related key genes were associated with prognosis and the cell cycle, and were strongly correlated with each other and differentially expressed in tumor and normal samples. We provide a new strategy for exploring stemness-related genes in LUAD cases.
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