Current advances in cancer immune therapy have unveiled the enormous need to untangle the complex architecture and interactions of the diverse tumor components and the histological changes associated with different disease stages and to different treatments. In this sense, pathology approaches, whether using traditional techniques or cutting-edge technologies, have become indispensable to assessing distinct histologic characteristics and biomarker expression in the context of architectural and spatial-related tumor features. Translational pathology provides countless opportunities to better understand tumor biology and its association with clinical outcomes, prediction of response to therapy, and monitoring of changes during cancer treatment.
This Research Topic will focus on the investigation of tumor immune biology using tissue-based methodologies to understand pre-existing host tumor immunity, and histological and biomarker changes in tumor tissues associated with immunotherapy or tissue lesions developed after immunotherapy. The main goal of this Research Topic is to explore the application of translational pathology to improve diagnosis and clinical decisions to stratify patients for therapy.
We welcome Original Research Articles and Review Articles that explore morphological characteristics of tumors including architectural patterns, spatial analysis, cell-to-cell interactions, correlation of biomarkers with pathological changes, treatment responses, and clinical outcomes. The studies may use standard pathology procedures or novel methodologies such as high-plex platforms for protein, RNA analysis or other targets, as well as computational pathology or digital image analysis.
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.
Current advances in cancer immune therapy have unveiled the enormous need to untangle the complex architecture and interactions of the diverse tumor components and the histological changes associated with different disease stages and to different treatments. In this sense, pathology approaches, whether using traditional techniques or cutting-edge technologies, have become indispensable to assessing distinct histologic characteristics and biomarker expression in the context of architectural and spatial-related tumor features. Translational pathology provides countless opportunities to better understand tumor biology and its association with clinical outcomes, prediction of response to therapy, and monitoring of changes during cancer treatment.
This Research Topic will focus on the investigation of tumor immune biology using tissue-based methodologies to understand pre-existing host tumor immunity, and histological and biomarker changes in tumor tissues associated with immunotherapy or tissue lesions developed after immunotherapy. The main goal of this Research Topic is to explore the application of translational pathology to improve diagnosis and clinical decisions to stratify patients for therapy.
We welcome Original Research Articles and Review Articles that explore morphological characteristics of tumors including architectural patterns, spatial analysis, cell-to-cell interactions, correlation of biomarkers with pathological changes, treatment responses, and clinical outcomes. The studies may use standard pathology procedures or novel methodologies such as high-plex platforms for protein, RNA analysis or other targets, as well as computational pathology or digital image analysis.
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.