Immune checkpoint blockade (ICB) therapy has redefined cancer treatment paradigms by effectively leveraging the human immune system to precisely target and combat tumors. Despite its transformative potential, resistance to these therapies significantly dampens their overall effectiveness and challenges hopes for durable remission. To elucidate the complexity of this resistance, researchers delve into genetic, immunologic, and cellular dynamics contributing to variable patient responses. Recent studies have begun unravelling the intricate networks of genes and proteins that might forecast resistance or responsiveness, thus opening avenues for tailored therapeutic approaches.
This Research Topic aims to highlight groundbreaking research focused on identifying, understanding, and circumventing barriers to ICB therapy. By evaluating the underlying biological mechanisms of resistance and promoting the development of innovative interventions, this initiative aspires to fortify the efficacy and durability of ICB responses thereby enhancing patient survival and quality of life.
In addressing this critical challenge, we lay emphasis on the following areas:
o Predictive biomarkers of responsiveness and resistance utilizing genomic, transcriptomic, and proteomic studies, accompanied by cutting-edge technologies for their discovery and validation.
o Development of novel immunomodulatory agents such as checkpoint inhibitors, immune modulators, and bi-specific antibodies, among others, aimed at enhancing ICB therapy effectiveness.
o Explorations into the tumor microenvironment examining its role in resistance, with a focus on the immunosuppressive elements, microbiota influences, and metabolic reprogramming within the milieu.
o Translation of research findings into clinical applications through trials and studies that investigate new therapeutic strategies and interventions.
Please note that manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by robust and relevant validation (clinical cohort or biological validation in vitro or in vivo) are out of scope for this Research Topic.
Immune checkpoint blockade (ICB) therapy has redefined cancer treatment paradigms by effectively leveraging the human immune system to precisely target and combat tumors. Despite its transformative potential, resistance to these therapies significantly dampens their overall effectiveness and challenges hopes for durable remission. To elucidate the complexity of this resistance, researchers delve into genetic, immunologic, and cellular dynamics contributing to variable patient responses. Recent studies have begun unravelling the intricate networks of genes and proteins that might forecast resistance or responsiveness, thus opening avenues for tailored therapeutic approaches.
This Research Topic aims to highlight groundbreaking research focused on identifying, understanding, and circumventing barriers to ICB therapy. By evaluating the underlying biological mechanisms of resistance and promoting the development of innovative interventions, this initiative aspires to fortify the efficacy and durability of ICB responses thereby enhancing patient survival and quality of life.
In addressing this critical challenge, we lay emphasis on the following areas:
o Predictive biomarkers of responsiveness and resistance utilizing genomic, transcriptomic, and proteomic studies, accompanied by cutting-edge technologies for their discovery and validation.
o Development of novel immunomodulatory agents such as checkpoint inhibitors, immune modulators, and bi-specific antibodies, among others, aimed at enhancing ICB therapy effectiveness.
o Explorations into the tumor microenvironment examining its role in resistance, with a focus on the immunosuppressive elements, microbiota influences, and metabolic reprogramming within the milieu.
o Translation of research findings into clinical applications through trials and studies that investigate new therapeutic strategies and interventions.
Please note that manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by robust and relevant validation (clinical cohort or biological validation in vitro or in vivo) are out of scope for this Research Topic.