ArticleTranslational andrology and urology2021
Effect of myeloid ecotropic viral integration site (MEIS) family genes on tumor microenvironment remodeling and its potential therapeutic effect.
Article in Translational andrology and urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Article
- Meis1-driven suppression of MIF/CD74 signaling promotes M2 macrophage polarization and protects against inflammatory damage in experimental acute lung injury.Cell biology and toxicology · 2026Article
- Integrative multi-omics identifies MEIS3 as a diagnostic biomarker and immune modulator in hypertrophic cardiomyopathy.Frontiers in immunology · 2025Article
- The impact ofAnimal cells and systems · 2024Article
- A Systematic Pan-Cancer Analysis of MEIS1 in Human Tumors as Prognostic Biomarker and Immunotherapy Target.Journal of clinical medicine · 2023Article
- Lung Cancer Gene Regulatory Network of Transcription Factors Related to the Hallmarks of Cancer.Current issues in molecular biology · 2023Article
- Targeting Inflammatory Signaling in Prostate Cancer Castration Resistance.Journal of clinical medicine · 2021Review
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe myeloid ecotropic viral integration site (MEIS) family of genes is related to the occurrence, development, and outcome of many cancers. However, its role in the immune and tumor microenvironment (TME) is unclear. This study explored the relationship between the expression of MEIS genes and patient survival, immune subtypes, TME, tumor stem cell correlation, and drug sensitivity in cancer.
methodsWe used The Cancer Genome Atlas pan-cancer data to analyze the expression of the MEIS family genes. Kaplan-Meier analysis and univariate Cox proportional hazard regression model were used to detect the relationship between gene expression and overall survival. Analysis of variance was used to explore the relationship between the MEIS family and the immune components in the tumor, and the ESTIMATE algorithm was used to calculate the proportion and level of tumor-infiltrating immune cells. Spearman and Pearson's correlation tests were carried out to detect the relationship between
resultsThe MEIS family of genes shows different expression profiles in different cancers, with substantial inter- and intra-cancer heterogeneity. Among them,
conclusionsWe explored the expression, prognostic relationship, molecular characteristics, and effects on immunity and TME of the
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