ArticleDiagnostics (Basel, Switzerland)2023
Identifying ITGB2 as a Potential Prognostic Biomarker in Ovarian Cancer.
Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Macrophages and the immune microenvironment in OPMDs: a systematic review of the literature.Frontiers in oral health · 2025Pooled it
- Deep visual multi-omics profiling links morphology and molecular programs in clear cell renal cell carcinoma.EMBO molecular medicine · 2026Article
- Proteomic profiling of single extracellular vesicles as a promising new approach for the diagnosis and treatment modality of advanced ovarian cancer.NPJ precision oncology · 2026Article
- Diagnostic and prognostic values of differentially expressed genes in canine mammary carcinoma: An integrated bioinformatics analysis.PloS one · 2026Article
- Proteogenomic approach to immunopeptidomics of ovarian tumors identifies shared peptide vaccine candidates.NPJ vaccines · 2025Article
- Conformation-sensitive targeting of CD18 depletes M2-like tumor-associated macrophages resulting in inhibition of solid tumor progression.Journal for immunotherapy of cancer · 2025Article
- Ethyl Acetate Extract ofJournal of inflammation research · 2025Article
- Integrated Transcriptomic and Proteomic Analyses of Antler Growth and Ossification Mechanisms.International journal of molecular sciences · 2024Article
- Single-cell transcriptomics reveals over-activated reactive oxygen species pathway in hepatocytes in the development of hepatocellular carcinoma.Scientific reports · 2024Article
- Multimodal AI/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases.Scientific reports · 2024Article
- ITGB2 related to immune cell infiltration as a potential therapeutic target of inflammatory bowel disease using bioinformatics and functional research.Journal of cellular and molecular medicine · 2024Article
- Identification of the biological functions and chemo-therapeutic responses of ITGB superfamily in ovarian cancer.Discover oncology · 2024Article
- In Silico Approach to Molecular Profiling of the Transition from Ovarian Epithelial Cells to Low-Grade Serous Ovarian Tumors for Targeted Therapeutic Insights.Current issues in molecular biology · 2024Article
- Integrated immunogenomic analyses of high-grade serous ovarian cancer reveal vulnerability to combination immunotherapy.Frontiers in immunology · 2024Article
- Comprehensive analyses for the coagulation and macrophage-related genes to reveal their joint roles in the prognosis and immunotherapy of lung adenocarcinoma patients.Frontiers in immunology · 2023Article
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Epithelial ovarian cancer is by far the most lethal gynecological malignancy. The exploration of promising immunomarkers to predict prognosis in ovarian cancer patients remains challenging. In our research, we carried out an integrated bioinformatic analysis of genome expressions and their immune characteristics in the ovarian cancer microenvironment with validation in different experiments. We filtrated 332 differentially expressed genes with 10 upregulated hub genes from the Gene Expression Omnibus database. These genes were closely related to ovarian tumorigenesis. Subsequently, the survival and immune infiltration analysis demonstrated that the upregulation of five candidate genes, ITGB2, VEGFA, CLDN4, OCLN, and SPP1, were correlated with an unfavorable clinical outcome and increased immune cell infiltration in ovarian cancer. Of these genes, ITGB2 tended to be the gene most correlated with various immune cell infiltrations and had a strong correlation with significant M2 macrophages infiltration (r = 0.707,
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