ArticleAging2020
Immune profile of the tumor microenvironment and the identification of a four-gene signature for lung adenocarcinoma.
Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 26 citations in OpenAlex.
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- Role and recent progress of P2Y12 receptor in cancer development.Purinergic signalling · 2025Review
- P2 purinergic receptor expression and function in tumor-related immune cells.Purinergic signalling · 2025Review
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- Novel prognostic signature for lung adenocarcinoma based on immune-related mRNA pairs.Heliyon · 2024Article
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- Identification of a Prognostic Signature for Ovarian Cancer Based on Ubiquitin-Related Genes Suggesting a Potential Role for FBXO9.Biomolecules · 2023Article
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- The Comprehensive Analysis Identified an Autophagy Signature for the Prognosis and the Immunotherapy Efficiency Prediction in Lung Adenocarcinoma.Frontiers in immunology · 2022Article
- Identification and Verification of Tumor Immune Microenvironment-Related Prognostic Genes in Kidney Renal Clear Cell Carcinoma.BioMed research international · 2022Article
- A Wnt-related gene expression signature to improve the prediction of prognosis and tumor microenvironment in gastric cancer.Frontiers in genetics · 2022Article
- The prognostic value of plasma complement factor B (CFB) in thyroid carcinoma.Bioengineered · 2021Article
- Identification ofBiomedicines · 2021Article
- P2YMolecules (Basel, Switzerland) · 2021Review
- Construction of an immune-related lncRNA signature as a novel prognosis biomarker for LUAD.Aging · 2021Article
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Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The composition and relative abundances of immune cells in the tumor microenvironment are key factors affecting the progression of lung adenocarcinomas (LUADs) and the efficacy of immunotherapy. Using the cancer gene expression dataset from The Cancer Genome Atlas (TCGA) program, we scored stromal and immune cells for tumor purity prediction by CIBERSORT and ESTMATE. Differential expression analysis was employed to identify 374 genes between the high-score group and the low-score group, which were utilized to conduct Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Protein-protein interaction (PPI) and Cox regression analysis were performed on the differentially expressed genes (DEGs) to identify four key tumor microenvironment (TME) -related genes (CCR2, CCR4, P2RY12, and P2RY13). The expression levels of the four DEGs differed significantly among LUAD patients of different ages, genders, and TNM stages. We found that the infiltration of resting memory CD4+ T cells, memory B cells, and M0 macrophages into the TME was co-regulated by these four DEGs. These four genes were closely related to the prognosis of LUAD and affected the infiltration of immune cells into the TME, which had predictive prognostic value in LUAD.
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Registered trials
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