Frontiers in Immunology · 2022 · 141 citations · 36 references
MedicineCancer BiologyOncologyMolecular OncologyTumor MicroenvironmentTumor ProgressionCancer GenomicsCancer ImmunotherapyCancer TranscriptomicsImmuno-oncology BiomarkersMolecular Tumor ProfilingTumor Immune MicroenvironmentBreast Cancer PrognosisBreast Cancer Tumor MicroenvironmentImmune Cell ActivationImmune Infiltration Prognostic SignaturesPrognostic BiomarkersPrognostic Factors AnalysisPrognostic VariablesTumor Immune Cell Infiltration
Background: Cuproptosis is a copper-dependent cell death mechanism that is associated with tumor progression, prognosis, and immune response. However, the potential role of cuproptosis-related genes (CRGs) in the tumor microenvironment (TME) of triple-negative breast cancer (TNBC) remains unclear. Patients and methods: In total, 346 TNBC samples were collected from The Cancer Genome Atlas database and three Gene Expression Omnibus datasets, and were classified using R software packages. The relationships between the different subgroups and clinical pathological characteristics, immune infiltration characteristics, and mutation status of the TME were examined. Finally, a nomogram and calibration curve were constructed to predict patient survival probability to improve the clinical applicability of the CRG_score. Results: We identified two CRG clusters with immune cell infiltration characteristics highly consistent with those of the immune-inflamed and immune-desert clusters. Furthermore, we demonstrated that the gene signature can be used to evaluate tumor immune cell infiltration, clinical features, and prognostic status. Low CRG_scores were characterized by high tumor mutation burden and immune activation, good survival probability, and more immunoreactivity to CTLA4, while high CRG_scores were characterized by the activation of stromal pathways and immunosuppression. Conclusion: This study revealed the potential effects of CRGs on the TME, clinicopathological features, and prognosis of TNBC. The CRGs were closely associated with the tumor immunity of TNBC and are a potential tool for predicting patient prognosis. Our data provide new directions for the development of novel drugs in the future.
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Inferring tumour purity and stromal and immune cell admixture from expression data
Kosuke Yoshihara, Maria Shahmoradgoli, Emmanuel Martínez et al. · Nature Communications · 2013 · 10.7K citations · Full text