ArticleAging2021
Four hub genes regulate tumor infiltration by immune cells, antitumor immunity in the tumor microenvironment, and survival outcomes in lung squamous cell carcinoma patients.
Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- Review
- The role of the tumor microenvironment in drug resistance acquisition in lung squamous cell carcinoma.Journal of experimental & clinical cancer research : CR · 2026Review
- From description to prediction: a multi-database bibliometric forecast-validation study of lung cancer and tumor-associated macrophages research (2005-2025).Frontiers in immunology · 2026Review
- Lysosomal transmembrane protein 5: Impact on immune cell function and implications for immune-related deficiencies.Heliyon · 2024Review
- C1QC is a prognostic biomarker with immune-related value in kidney renal clear cell carcinoma.Frontiers in genetics · 2023Article
- Identification of Potential Prognostic Biomarkers Associated with Monocyte Infiltration in Lung Squamous Cell Carcinoma.BioMed research international · 2022Article
- Application of weighted co-expression network analysis and machine learning to identify the pathological mechanism of Alzheimer's disease.Frontiers in aging neuroscience · 2022Article
- Multi-scale integrative analyses identify THBS2Theranostics · 2022Article
- Targeting histone deacetylase enhances the therapeutic effect of Erastin-induced ferroptosis inTranslational lung cancer research · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we performed bioinformatics analyses to identify hub genes that regulate tumor infiltration by immune cells and antitumor immunity in the lung squamous cell carcinoma (LUSC). We identified 1738 robust and stable differentially expressed genes (DEGs) in the LUSC tissues based on robust rank aggregation (RRA) analysis of RNA-sequencing data from 5 GEO-LUSC datasets. We then classified TCGA-LUSC patients based on ssGSEA and ESTIMATE analyses of LUSC tissues into high, medium and low immunity subgroups showing significant differences in tumor purity. Weighted gene co-expression network analysis of the robust DEGs revealed five immunity-related modules, including the brown module with 762 DEGs and 30 hub genes showing the highest correlation with the immunity-related LUSC patient subgroups and their clinicopathological characteristics. We selected four hub genes,
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.