Tumor microenvironment (TME) is a bidirectional, dynamic and intricate network of interactions between tumor cells and mesenchymal tissue cells. Therefore, an in-depth study in TME is of great significance for clarifying tumor biology and molecular mechanisms during tumorigenesis and progression. The genitourinary tumors mainly include relatively high-incidence malignant prostate cancer, kidney cancer and bladder cancer, and relatively rare adrenocortical cancer, penile cancer, and so on. There are various complex intercellular communications in genitourinary tumor microenvironment. Many cells reprogram their metabolic pathways to adapt to an acidic hypoxic environment, providing energy support for growth and metastasis of genitourinary tumors. The heterogeneity of genitourinary TME makes tumor progression quite different between individuals. Therefore, it is necessary to analyze the interaction between tumor cells and stromal components, the key components that exert anti-tumor immunity (such as cytotoxic T lymphocytes, TAM, MDSC, etc.) and other genitourinary tumor microenvironment characterizations.
This Research Topic aims at presenting the development of novel anti-tumor therapies by targeting the tumor microenvironment of genitourinary tumors. We hope to understand the impact of immune status of genitourinary TME on tumor progression, develop immunotherapy strategies targeting TME, provide more mediators for the immunotherapy resistance. We welcome submission of Original Research, Review and Mini-review in the subtopics of, but not limited to, the below points:
• Tumor-host interface and the role of microenvironment in genitourinary tumors
• Genitourinary tumor evolution with therapy and changes of host milieu
• Emerging role of liquid biopsies as surrogate markers of treatment response and surveillance
• Targeted metabolism to improve genitourinary tumor microenvironment anti-tumor immunotherapy
• Development of potential biomarkers that regulate the metabolic microenvironment and the malignant progression of genitourinary tumors
• Development of precise immunophenotyping of genitourinary tumors with solid clinical and translational value
• Revealing significant biomarkers regulating tumor immunotherapy based on high-throughput multi-omics or machine learning technology
• Research on cell spatial organization distribution of genitourinary tumors based on TME biomarker expression and functional heterogeneity
• The role of fibroblasts in tumor invasion and treatment resistance
• Implications of the maturation and aggregation of tumor-infiltrating lymphocytes in tumor prognosis and response to immune checkpoint inhibitor therapy
Please note: manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by experimental validation (independent cohort or biological validation in vitro or in vivo) or simply validation of the expression level of a single gene/model using RT-qPCR or immunohistochemistry analysis are out of scope for this section and will not be accepted as part of this Research Topic.
Tumor microenvironment (TME) is a bidirectional, dynamic and intricate network of interactions between tumor cells and mesenchymal tissue cells. Therefore, an in-depth study in TME is of great significance for clarifying tumor biology and molecular mechanisms during tumorigenesis and progression. The genitourinary tumors mainly include relatively high-incidence malignant prostate cancer, kidney cancer and bladder cancer, and relatively rare adrenocortical cancer, penile cancer, and so on. There are various complex intercellular communications in genitourinary tumor microenvironment. Many cells reprogram their metabolic pathways to adapt to an acidic hypoxic environment, providing energy support for growth and metastasis of genitourinary tumors. The heterogeneity of genitourinary TME makes tumor progression quite different between individuals. Therefore, it is necessary to analyze the interaction between tumor cells and stromal components, the key components that exert anti-tumor immunity (such as cytotoxic T lymphocytes, TAM, MDSC, etc.) and other genitourinary tumor microenvironment characterizations.
This Research Topic aims at presenting the development of novel anti-tumor therapies by targeting the tumor microenvironment of genitourinary tumors. We hope to understand the impact of immune status of genitourinary TME on tumor progression, develop immunotherapy strategies targeting TME, provide more mediators for the immunotherapy resistance. We welcome submission of Original Research, Review and Mini-review in the subtopics of, but not limited to, the below points:
• Tumor-host interface and the role of microenvironment in genitourinary tumors
• Genitourinary tumor evolution with therapy and changes of host milieu
• Emerging role of liquid biopsies as surrogate markers of treatment response and surveillance
• Targeted metabolism to improve genitourinary tumor microenvironment anti-tumor immunotherapy
• Development of potential biomarkers that regulate the metabolic microenvironment and the malignant progression of genitourinary tumors
• Development of precise immunophenotyping of genitourinary tumors with solid clinical and translational value
• Revealing significant biomarkers regulating tumor immunotherapy based on high-throughput multi-omics or machine learning technology
• Research on cell spatial organization distribution of genitourinary tumors based on TME biomarker expression and functional heterogeneity
• The role of fibroblasts in tumor invasion and treatment resistance
• Implications of the maturation and aggregation of tumor-infiltrating lymphocytes in tumor prognosis and response to immune checkpoint inhibitor therapy
Please note: manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by experimental validation (independent cohort or biological validation in vitro or in vivo) or simply validation of the expression level of a single gene/model using RT-qPCR or immunohistochemistry analysis are out of scope for this section and will not be accepted as part of this Research Topic.
