The tumor microenvironment (TME) is a complex and dynamic ecosystem comprising various cell types that play pivotal roles in cancer progression and response to therapy. Immune cells within the TME significantly influence tumor outcomes by promoting inflammation, angiogenesis, and immune evasion. With advancements in technology, particularly in machine learning and artificial intelligence (AI), there's a deeper understanding of how these interactions affect immunotherapy responses. Despite these technological advancements, the variability in immunotherapy efficacy across different patients highlights a critical need for further exploration to untangle the intricacies of the tumor immune microenvironment (TIME).
This Research Topic aims to harness AI and other high-throughput technologies to gain a more precise characterization of the immune components within the TME. The goal is to uncover novel cellular subtypes, understand cell-to-cell interactions, and identify new therapeutic targets that could enhance the efficacy of immunotherapy. By integrating AI with single-cell RNA sequencing and spatial multiomics, researchers can achieve a more detailed view of the transcriptomic, proteomic, and metabolomic profiles of tumor tissues, which may revolutionize the predictive capabilities and treatment personalization in oncology.
To gather further insights in this rapidly evolving field, we welcome articles addressing, but not limited to, the following themes:
The application of machine learning and AI-driven high-throughput
sequencing in the study of TIME
Identifying the cellular and molecular landscape of TIME
Exploring cell interactions within tumor tissues
Predictive modeling for novel immunotherapy targets
Immunotyping of tumors for better therapeutic stratification
Advanced multi-omics analysis to chart tumor heterogeneity and its implications on treatment response
Keywords: machine learning; artificial Intelligence; high-throughput sequencing; tumor microenvironment; tumor immunology
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
