ArticleTranslational lung cancer research2021
A prognostic nomogram for lung adenocarcinoma based on immune-infiltrating Treg-related genes: from bench to bedside.
Article in Translational lung cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- A systematic review on leptin's role in defining cancer: special emphasis on immunomodulation, inflammation, and therapeutic interventions.Genes and immunity · 2025Pooled it
- A nomogram based on A-to-I RNA editing predicting overall survival of patients with lung squamous carcinoma.BMC cancer · 2022Trial
- Development and Validation of a Prognostic Model to Predict Overall Survival for Lung Adenocarcinoma: A Population-Based Study From the SEER Database and the Chinese Multicenter Lung Cancer Database.Technology in cancer research & treatmentTrial
- Unveiling the prognostic and immunotherapeutic role of Tregs in lung cancer using integrated analysis of single-cell and bulk RNA-sequencing.Oncology letters · 2026Article
- Regulatory T-cell Sensing of Extracellular ATP via P2RX7 Promotes Their Accumulation and Suppression and Drives Lung Tumor Growth.Cancer immunology research · 2026Article
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- Comprehensive analysis of regulatory B Cell related genes in prognosis and therapeutic response in lung adenocarcinoma.Frontiers in immunology · 2025Article
- Unraveling the immune landscape of lung adenocarcinoma: insights for tailoring therapeutic approaches.Discover oncology · 2024Article
- Roles of naïve CD4Journal of translational medicine · 2024Article
- Current literature review on the tumor immune micro-environment, its heterogeneity and future perspectives in treatment of advanced non-small cell lung cancer.Translational lung cancer research · 2023Review
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- Comprehensive analysis to identify a novel diagnostic marker of lung adenocarcinoma and its immune infiltration landscape.Frontiers in oncology · 2023Article
- The Multi-Dimensional Biomarker Landscape in Cancer Immunotherapy.International journal of molecular sciences · 2022Review
- Article
- Identification and Validation of an Inflammatory Response-Related Polygenic Risk Score as a Prognostic Marker in Hepatocellular Carcinoma.Disease markers · 2022Article
- Construction of an immune-related lncRNA signature as a novel prognosis biomarker for LUAD.Aging · 2021Article
- An Aging-Related Gene Signature-Based Model for Risk Stratification and Prognosis Prediction in Lung Adenocarcinoma.Frontiers in cell and developmental biology · 2021Article
- Regulatory T-Cells as an Emerging Barrier to Immune Checkpoint Inhibition in Lung Cancer.Frontiers in oncology · 2021Review
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccumulating evidence suggests that lymphocyte infiltration in the tumor microenvironment is positively correlated with tumorigenesis and development, while the role of Tregs (regulatory T cells) has been controversial. Therefore, we attempted to discover the possible value of Tregs for lung adenocarcinoma (LUAD).
methodsThe gene-sequencing data of LUAD were applied from three Gene Expression Omnibus (GEO) datasets-GSE10072, GSE32863 and GSE43458; the corresponding fractions of tumor-infiltrating immune cells were extracted from the CIBERSORTx portal. Weighted gene coexpression network analysis (WGCNA) and protein-protein interaction (PPI) network analysis were conducted to identify the significant module and candidate genes related to Tregs. The role of candidate genes in LUAD was further verified using data from The Cancer Genome Atlas (TCGA) database. Finally, we constructed a nomogram model to predict the prognosis of LUAD by plotting Kaplan-Meier (K-M), receiver operating characteristic (ROC) and calibration curves, which elucidated the performance of the nomogram.
resultsIn total, 10,047 genes in 333 samples (196 tumor and 137 normal samples) from the GEO database were included. By WGCNA and PPI analysis, we identified a significant black module and 36 candidate genes related to Treg. Next, the candidate genes were verified using TCGA data by Cox regression analysis to screen 13 hub genes that stratified LUAD patients into low- or high-risk groups. Low-risk patients showed a significantly longer overall survival (OS) than high-risk patients (3-year OS: 70.2%
conclusionsWe revealed the role of immune-infiltrating Treg-related genes in LUAD and constructed a prognostic nomogram, which may help clinicians make optimal therapeutic decisions and help patients obtain better outcomes.
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