The tumor microenvironment (TME) plays an indispensable role in the occurrence and development of tumors. TME components change at almost every stage of cancer malignant development. At the same time, as an important part of TME, tumor immune microenvironment (TIME) also plays an irreplaceable role in the process of tumor cell proliferation, invasion and metastasis. More and more research evidence shows that TIME is also a key link in determining the diagnosis and treatment response of tumor patients. However, the state of TIME is complex and changeable, usually manifested by multiple interactions among tumor, immune, matrix and interstitial cells, as well as changes in various soluble factors and components of extracellular matrix (ECM). Therefore, identifying potential biomarkers related to TIME will help better understand the occurrence and development of tumors and promote the screening of new therapeutic targets.
Single cell sequencing technology can simultaneously obtain the cellular identity information and gene expression data of tissues at the single cell level. Therefore, the single cell sequencing research on TIME provides new clues for tumor genesis, metastasis and development mechanism, tumor origin and tumor stem cell differentiation process, therapeutic resistance, etc. In addition, High throughput second-generation genome sequencing technology can enable us to explore gene mutation in cancer immune microenvironment, the impact of DNA damage and repair on immune microenvironment, and TIMES risk caused by methylation, etc. The application of proteomics and metabolomics to the study of TIMES is also emerging in endlessly. Therefore, there is an urgent need to develop tools and methods to explore TIMES under different omics and integrate multi omics data to understand the complete biological process under TIMES.
All scientists and researchers interested in this Research Topic are invited to submit their work in the form of Original Research, Review, and Mini-Review articles. We welcome manuscripts focusing on, but not limited to, the following sub-topics:
• Identification of new cell subtypes and their interactions in TIMEs;
• Dynamic alteration of immune cell functions, infiltrations and constitutions during cancer therapies based on computational methods;
• Effects of different gene mutations on TIMEs;
• Effects of heterogeneous TIMEs on cancer survival, subtypes and treatment;
• Integrate multi omics data to explain TIMEs mechanism.
The tumor microenvironment (TME) plays an indispensable role in the occurrence and development of tumors. TME components change at almost every stage of cancer malignant development. At the same time, as an important part of TME, tumor immune microenvironment (TIME) also plays an irreplaceable role in the process of tumor cell proliferation, invasion and metastasis. More and more research evidence shows that TIME is also a key link in determining the diagnosis and treatment response of tumor patients. However, the state of TIME is complex and changeable, usually manifested by multiple interactions among tumor, immune, matrix and interstitial cells, as well as changes in various soluble factors and components of extracellular matrix (ECM). Therefore, identifying potential biomarkers related to TIME will help better understand the occurrence and development of tumors and promote the screening of new therapeutic targets.
Single cell sequencing technology can simultaneously obtain the cellular identity information and gene expression data of tissues at the single cell level. Therefore, the single cell sequencing research on TIME provides new clues for tumor genesis, metastasis and development mechanism, tumor origin and tumor stem cell differentiation process, therapeutic resistance, etc. In addition, High throughput second-generation genome sequencing technology can enable us to explore gene mutation in cancer immune microenvironment, the impact of DNA damage and repair on immune microenvironment, and TIMES risk caused by methylation, etc. The application of proteomics and metabolomics to the study of TIMES is also emerging in endlessly. Therefore, there is an urgent need to develop tools and methods to explore TIMES under different omics and integrate multi omics data to understand the complete biological process under TIMES.
All scientists and researchers interested in this Research Topic are invited to submit their work in the form of Original Research, Review, and Mini-Review articles. We welcome manuscripts focusing on, but not limited to, the following sub-topics:
• Identification of new cell subtypes and their interactions in TIMEs;
• Dynamic alteration of immune cell functions, infiltrations and constitutions during cancer therapies based on computational methods;
• Effects of different gene mutations on TIMEs;
• Effects of heterogeneous TIMEs on cancer survival, subtypes and treatment;
• Integrate multi omics data to explain TIMEs mechanism.