ArticleInflammation research : official journal of the European Histamine Research Society ... [et al.]2024
Integration of multiomics analyses reveals unique insights into CD24-mediated immunosuppressive tumor microenvironment of breast cancer.
Article in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed, 2 citations in OpenAlex.
- Potentiating mild photothermal therapy via CDK12/13-mediated AKT suppression to orchestrate ferroptosis-apoptosis crosstalk for vaccine-like immunity.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- In Situ Engineered "Cascade-Amplified" Drug-Loaded Vesicles for Enhanced Cancer Stem Cell Therapy.Journal of extracellular vesicles · 2026Article
- Integrative single-cell eQTL and multi-omics analyses reveal AIM1 and ANXA1 as immune-related hub genes and potential therapeutic targets in head and neck cancer.Frontiers in oncology · 2026Article
- Nanomedicine strategies for cuproptosis: Metabolic reprogramming and tumor immunotherapy.Acta pharmaceutica Sinica. B · 2025Review
- Decoding CD24: Roles of chemoradiotherapy resistance and potential as therapeutic targets.Oncology research · 2025Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundTumor immunotherapy brings new light and vitality to breast cancer patients, but low response rate and limitations of therapeutic targets become major obstacles to its clinical application. Recent studies have shown that CD24 is involved in an important process of tumor immune regulation in breast cancer and is a promising target for immunotherapy.
methodsIn this study, singleR was used to annotate each cell subpopulation after t-distributed stochastic neighbor embedding (t-SNE) methods. Pseudo-time trace analysis and cell communication were analyzed by Monocle2 package and CellChat, respectively. A prognostic model based on CD24-related genes was constructed using several machine learning methods. Multiple quantitative immunofluorescence (MQIF) was used to evaluate the spatial relationship between CD24
resultsBased on the scRNA-seq analysis, 1488 CD24-related differential genes were identified, and a risk model consisting of 15 prognostic characteristic genes was constructed by combining the bulk RNA-seq data. Patients were divided into high- and low-risk groups based on the median risk score. Immune landscape analysis showed that the low-risk group showed higher infiltration of immune-promoting cells and stronger immune reactivity. The results of cell communication demonstrated a strong interaction between CD24
conclusionThis study highlights the importance of CD24
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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.