About this Research Topic
The previous lack of understanding of immunosuppression in cancer patients may justify the failure of several activating immunotherapeutic strategies to produce a clinical benefit. Therefore, our knowledge about the TME and the mechanisms of immune evasion by tumors and its complex network with stroma, and infiltrating immune cells could determine the success of tumor immunotherapy. Effective eradication of cancer cells by effector immune mechanisms relies on getting rid of the multiple immune-suppressive networks and activation barriers that form the TME. This aim can be achieved by targeting and reprogramming pivotal factors at the core of such networks and re-educating the TME by promoting effector T cells activity while restraining the accumulation of immunosuppressive cells. Thus, more studies on the TME composition and its impact on attenuation of immunosurveillance may provide a basis for potential strategies aimed at targeting the tumor immune microenvironment and benefit cancer patients in the future.
This Research Topic welcomes the submission of Original Research, Review, Mini Review, Opinion, and Perspective articles covering but not limited to, the following sub-topics:
• Role of the immune-suppressive immune cells in TME in novel immunotherapies failure
• Strategies to revert immune-suppressive activity of immune cells in TME
• Immunometabolic aspects of TME immune-suppressive milieu
• Experimental and clinical trials on strategies for re-educating the TME to overcome immunotherapy failure.
Please note: manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.
Keywords: Tumor microenvironment, Tumor spheroids, Tumor organoids, Microfluidic chips, Organ-on-chip, Multiorgan-on-chip, In silico experiments for tumor-immune interactions, 3D In silico modeling in cancer and tumor-immune dynamics, machine learning analysis in cancer immunology, 3D architecture cues and aspects of the tumor microenvironment, 3D bioprinting solutions in cancer 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.