ArticleFrontiers in immunology2023
Identification of cuproptosis and immune-related gene prognostic signature in lung adenocarcinoma.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- Tumor suppressor syntaxin binding protein 1 regulates alternative splicing of DNA repair genes related to radiation sensitivity in breast cancer cells.Oncology letters · 2026Article
- Comprehensive Analysis of Cuproptosis-Related Genes According to Cancer Stage and Their Prognostic Value in Cervical Cancer.International journal of molecular sciences · 2026Article
- A Rho GTPase-related gene signature predicts prognosis and reveals an immunosuppressive microenvironment in lung adenocarcinoma: an integrated analysis of bulk and single-cell RNA sequencing data.Scientific reports · 2026Article
- Integrating Single-Cell, Bulk, and Spatial Transcriptomics Unveils a Novel Ribosome Biogenesis-Related Prognostic Model and DefinesInternational journal of molecular sciences · 2026Article
- ABCC2 as a novel therapeutic target in lung adenocarcinoma: a machine learning-driven discovery linking ammonia metabolism to prognosis and drug resistance.Journal of translational medicine · 2026Article
- Exploring CD79b, LC3, and TERT expression in NON-GCB DLBCL: markers associated with Rituximab-Cyclophosphamide-Doxorubicin-Vincristin-Prednisone treatment response.Blood research · 2026Article
- Construction and validation of a palmitoylation-related prognostic model for lung adenocarcinoma based on integrated bioinformatics and machine learning.Translational cancer research · 2026Article
- Identification and validation of prognostic genes associated with integrative stress response in lung adenocarcinoma and construction of the risk models.Scientific reports · 2026Article
- Observational
- Elevated levels of SLC38A1 are correlated with an unfavorable prognosis, as well as accelerated cell proliferation and metastasis in lung adenocarcinoma.BMC cancer · 2026Article
- Multi-omics integration identifies ARID1B linking cuproptosis-immune crosstalk with atherosclerotic plaque progression.Frontiers in genetics · 2026Article
- Development and Validation of a Cuproptosis-Based Risk Score Model for Predicting Neoadjuvant Chemotherapy Response in Breast Cancer: A Transcriptomic Analysis.The breast journal · 2026Article
- Identification and validation of mitochondrial transport and glycolysis-associated prognostic and therapeutic target for lung adenocarcinoma patients.Frontiers in genetics · 2026Article
- Ferroptosis and cuproptosis in head and neck squamous cell carcinoma: interconnected mechanisms and therapeutic implications.Frontiers in pharmacology · 2026Review
- DACT1 inhibits cuproptosis and promotes cell malignancy via activation of PI3K/AKT signaling in laryngeal squamous cell carcinoma.European journal of medical research · 2025Article
- Integrative bulk and single-cell transcriptomic profiling identifies core gene networks and potential therapeutic targets in glioma.BMC cancer · 2025Article
- Prognostic value and biological role of STING-related genes GAB3 and IL16 in lung adenocarcinoma: implications for immune evasion and treatment.Scientific reports · 2025Article
- Network Controllability Reveals Key Mitigation Points for Tumor-Promoting Signaling in Tumor-Educated Platelets.International journal of molecular sciences · 2025Article
- Machine learning-based model identifies a novel cuproptosis-related mitochondrial gene signature with a key role in the prognosis and treatment of lung adenocarcinoma.Oncology letters · 2025Article
- Constructing a Pan-Cancer Prognostic Model via Machine Learning Based on Immunogenic Cell Death Genes and Identifying NT5E as a Biomarker in Head and Neck Cancer.Current issues in molecular biology · 2025Article
Corrections and comments
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Authors and funding
12 authors.
Funding
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Abstract
Background: Cuproptosis is a novel form of programmed cell death that differs from other types such as pyroptosis, ferroptosis, and autophagy. It is a promising new target for cancer therapy. Additionally, immune-related genes play a crucial role in cancer progression and patient prognosis. Therefore, our study aimed to create a survival prediction model for lung adenocarcinoma patients based on cuproptosis and immune-related genes. This model can be utilized to enhance personalized treatment for patients. Methods: RNA sequencing (RNA-seq) data of lung adenocarcinoma (LUAD) patients were collected from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The levels of immune cell infiltration in the GSE68465 cohort were determined using gene set variation analysis (GSVA), and immune-related genes (IRGs) were identified using weighted gene coexpression network analysis (WGCNA). Additionally, cuproptosis-related genes (CRGs) were identified using unsupervised clustering. Univariate COX regression analysis and least absolute shrinkage selection operator (LASSO) regression analysis were performed to develop a risk prognostic model for cuproptosis and immune-related genes (CIRGs), which was subsequently validated. Various algorithms were utilized to explore the relationship between risk scores and immune infiltration levels, and model genes were analyzed based on single-cell sequencing. Finally, the expression of signature genes was confirmed through quantitative real-time PCR (qRT-PCR), immunohistochemistry (IHC), and Western blotting (WB). Results: We have identified 5 Oncogenic Driver Genes namely CD79B, PEBP1, PTK2B, STXBP1, and ZNF671, and developed proportional hazards regression models. The results of the study indicate significantly reduced survival rates in both the training and validation sets among the high-risk group. Additionally, the high-risk group displayed lower levels of immune cell infiltration and expression of immune checkpoint compared to the low-risk group.
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