ArticleJournal of translational medicine2023
CD4
Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- Advanced 3D cancer models for analyzing tumor-immune cell interaction and therapeutic response.Molecular cancer · 2026Review
- Biomechanical signaling of cytoskeleton and membrane reorganization in tumor immune chemotactic migration.Theranostics · 2026Review
- Regulatory T Cells in Diabetic Wound Healing: A Comprehensive Review.Journal of inflammation research · 2026Review
- Inhibition of RNA-binding proteins enhances immunotherapy in ovarian cancer.Signal transduction and targeted therapy · 2025Article
- Role of the TLR signaling pathway in the pathogenesis of glioblastoma multiforme with an emphasis on immunotherapy.Biochemistry and biophysics reports · 2025Review
- Functional heterogeneity and clinical implications of CD4+ T cell subtypes in high-grade serous ovarian carcinoma.World journal of clinical oncology · 2025Article
- Immune evasion mechanisms in early-stage I high-grade serous ovarian carcinoma: insights into regulatory T cell dynamics.Cell death & disease · 2025Article
- Exploring the impact of cuproptosis on prostate cancer prognosisFrontiers in pharmacology · 2025Article
- A Bioinformatics Investigation of Hub Genes Involved in Treg Migration and Its Synergistic Effects, Using Immune Checkpoint Inhibitors for Immunotherapies.International journal of molecular sciences · 2024Article
- Identification of hub genes within the CCL18 signaling pathway in hepatocellular carcinoma through bioinformatics analysis.Frontiers in oncology · 2024Article
- Limitations and potential of immunotherapy in ovarian cancer.Frontiers in immunology · 2023Article
- M2 macrophages promote PKM2 production in fibroblasts to alleviate UVB-induced photoaging.Cell cycle (Georgetown, Tex.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTregs are key drivers of immunosuppression in solid tumors. As an important chemokine receptor on Tregs, the regulatory effect of CCR8 on tumor immunity has received more and more attention. However, the current research on CCR8 in the immune microenvironment of ovarian cancer has not been clear.
methodsBioinformatics analysis was used to compare the transcriptome differences between CD4
resultsIn this study, significantly different gene expression profiles were found between peripheral circulating CD4
conclusionsThe results of this study may help to understand the phenotypic characteristics and recruitment process of Tregs in the tumor, and provide new ideas for improving the immunosuppressive status of the ovarian cancer microenvironment.
Indexed as
Identifiers
What OpenQuestion holds
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.