ArticleInternational journal of molecular sciences2023
CXCR4 Expressed by Tumor-Infiltrating B Cells in Gastric Cancer Related to Survival in the Tumor Microenvironment: An Analysis Combining Single-Cell RNA Sequencing with Bulk RNA Sequencing.
Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 20 citations in OpenAlex.
- B cells in cancer: functions, mechanisms and therapeutic advances.Signal transduction and targeted therapy · 2026Review
- Inhibiting CXCL12/CXCR4 axis enhances T cell activity in gastric cancer.Cancer gene therapy · 2026Article
- Exploration of m7G-related immune genes and construction of a prognostic risk model in gastric cancer.Scientific reports · 2026Article
- Reprogramming the immunosuppressive breast cancer microenvironment: integrating cellular, metabolic, and stromal targets for rational immunotherapy.Frontiers in immunology · 2026Review
- Article
- Unveiling the role of gastric cancer-associated mesenchymal stem cells and neutrophil extracellular traps through multi-omics analysis.Stem cell research & therapy · 2025Article
- Vesicle-mediated transport-related gene SEC23A promotes cell proliferation by regulating cell cycle leading to gastric cancer progression.Acta biochimica et biophysica Sinica · 2025Article
- BTK inhibitors are a possible emerging therapeutic target for gastric cancer.Molecular therapy. Oncology · 2025Article
- Identification and Validation of Four Serum Biomarkers With Optimal Diagnostic and Prognostic Potential for Gastric Cancer Based on Machine Learning Algorithms.Cancer medicine · 2025Article
- The impact of aberrant lipid metabolism on the immune microenvironment of gastric cancer: a mini review.Frontiers in immunology · 2025Review
- A Prognostic Riskscore Model Related toInternational journal of genomics · 2025Article
- Expression of PSMD14 in lung adenocarcinoma and its impact on immune cell infiltration and prognosis: a comprehensive analysis based on RNA and single-cell RNA sequencing.Frontiers in immunology · 2025Article
- Glioblastoma Prognosis and Therapeutic Response Predicted by a Cancer-Associated Fibroblasts Risk Score.Mediators of inflammation · 2025Article
- Molecular Mechanism for Malignant Progression of Gastric Cancer Within the Tumor Microenvironment.International journal of molecular sciences · 2024Review
- Single-cell RNA sequencing to map tumor heterogeneity in gastric carcinogenesis paving roads to individualized therapy.Cancer immunology, immunotherapy : CII · 2024Review
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- Article
- Anti-Hepatocellular Carcinoma Effect of Jianpi Huayu Formula: Revealing the Molecular Mechanisms of the CXCR4 - Smad2/3 Pathway in Regulating Vasculogenic Mimicry Formation and Epithelial-Mesenchymal Transition.Integrative cancer therapiesArticle
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
According to the World Health Organization (WHO), gastric cancer (GC) is the fourth leading cause of tumor-related mortality globally and one of the most prevalent malignant tumors. To better understand the role of tumor-infiltrating B cells (TIBs) in GC, this work used single-cell RNA sequencing (scRNA-Seq) and bulk RNA sequencing (bulk RNA-Seq) data to identify candidate hub genes. Both scRNA-Seq and bulk RNA-Seq data for stomach adenocarcinoma (STAD) were obtained from the GEO and TCGA databases, respectively. Using scRNA-seq data, the FindNeighbors and FindClusters tools were used to group the cells into distinct groups. Immune cell clusters were sought in the massive RNA-seq expression matrix using the single-sample gene set enrichment analysis (ssGSEA). The expression profiles were used in Weighted Gene Coexpression Network Analysis (WGCNA) to build TCGA's gene coexpression networks. Next, univariate Cox regression, LASSO regression, and Kaplan-Meier analyses were used to identify hub genes in scRNA-seq data from sequential B-cell analyses. Finally, we examined the correlation between the hub genes and TIBs utilizing the TISIDB database. We confirmed the immune-related markers in clinical validation samples using reverse transcriptase polymerase chain reaction (RT-PCR) and immunohistochemistry (IHC). 15 cell clusters were classified in the scRNA-seq database. According to the WGCNA findings, the green module is most associated with cancer and B cells. The intersection of 12 genes in two separate datasets (scRNA and bulk) was attained for further analysis. However, survival studies revealed that increased
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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.