ArticleFrontiers in endocrinology2023
Machine learning immune-related gene based on KLRB1 model for predicting the prognosis and immune cell infiltration of breast cancer.
Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 19 citations in OpenAlex.
- KLRB1 gene in tumor immune regulation and disease prognosis: a multidimensional role review.Discover oncology · 2026Review
- CLEC2B-KLRB1 axis acts as an immune checkpoint, governing the exhaustion of CD8Journal for immunotherapy of cancer · 2026Article
- Development and validation of a ferroptosis-related gene signature for prognostic prediction and therapeutic target identification in invasive lobular carcinoma.Translational cancer research · 2026Article
- DUSP5 contributes to platinum resistance in ovarian cancer: single-cell discovery and functional validation.Frontiers in pharmacology · 2026Article
- Integrative Genomic Analysis Identifies MAGT1 as a Key Regulator of Proliferation and Poor Prognosis in Breast Cancer.Human mutation · 2026Article
- A single-cell and spatial atlas of plaque macrophage states in human atherosclerosis.Frontiers in immunology · 2026Review
- Prognostic value of M2 macrophage-related genes and their importance in the immunotherapy response in hepatocellular carcinoma.Oncology letters · 2025Article
- BRCAGenie: A machine learning-driven 43-gene polygenic risk score model for precision prediction of breast cancer survival.Journal of translational medicine · 2025Article
- Applying integrated transcriptome and single-cell sequencing analysis to develop a prognostic signature based on M2-like tumor-associated macrophages for breast cancer.Discover oncology · 2025Article
- CD161, a promising prognostic biomarker in hepatocellular carcinoma, correlates with immune infiltration.PeerJ · 2025Article
- Current Status of Breast Cancer Immunotherapy and Prognosis-Related Markers.Breast cancer (Dove Medical Press) · 2025Review
- Deciphering the role of KLRB1: a novel prognostic indicator in hepatocellular carcinoma.BMC gastroenterology · 2024Article
- Down-regulation of KLRB1 is associated with increased cell growth, metastasis, poor prognosis, as well as a dysfunctional immune microenvironment in LUAD.Scientific reports · 2024Article
- Identification of molecular subtypes based on chromatin regulator-related genes and experimental verification of the role of ASCL1 in conferring chemotherapy resistance to breast cancer.Frontiers in immunology · 2024Article
- Comprehensive single-cell and bulk transcriptomic analyses to develop an NK cell-derived gene signature for prognostic assessment and precision medicine in breast cancer.Frontiers in immunology · 2024Article
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Breast cancer is a prevalent malignancy that predominantly affects women. The development and progression of this disease are strongly influenced by the tumor microenvironment and immune infiltration. Therefore, investigating immune-related genes associated with breast cancer prognosis is a crucial approach to enhance the diagnosis and treatment of breast cancer. Methods: We analyzed data from the TCGA database to determine the proportion of invasive immune cells, immune components, and matrix components in breast cancer patients. Using this data, we constructed a risk prediction model to predict breast cancer prognosis and evaluated the correlation between KLRB1 expression and clinicopathological features and immune invasion. Additionally, we investigated the role of KLRB1 in breast cancer using various experimental techniques including real-time quantitative PCR, MTT assays, Transwell assays, Wound healing assays, EdU assays, and flow cytometry. Results: The functional enrichment analysis of immune and stromal components in breast cancer revealed that T cell activation, differentiation, and regulation, as well as lymphocyte differentiation and regulation, play critical roles in determining the status of the tumor microenvironment. These DEGs are therefore considered key factors affecting TME status. Additionally, immune-related gene risk models were constructed and found to be effective predictors of breast cancer prognosis. Further analysis through KM survival analysis and univariate and multivariate Cox regression analysis demonstrated that KLRB1 is an independent prognostic factor for breast cancer. KLRB1 is closely associated with immunoinfiltrating cells. Finally, Conclusion: KLRB1 may be a potential prognostic marker and therapeutic target associated with the microenzymic environment of breast cancer tumors, providing a new direction for breast cancer treatment.
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