Applicability of Spatial Technology in Cancer Research

Abstract

This review explores spatial mapping technologies in cancer research, highlighting their crucial role in understanding the complexities of the tumor microenvironment (TME). The TME, which is an intricate ecosystem of diverse cell types, has a significant impact on tumor dynamics and treatment outcomes. This review closely examines cutting-edge spatial mapping technologies, categorizing them into capture-, imaging-, and antibody-based approaches. Each technology was scrutinized for its advantages and disadvantages, factoring in aspects such as spatial profiling area, multiplexing capabilities, and resolution. Additionally, we draw attention to the nuanced choices researchers face, with capture-based methods lending themselves to hypothesis generation, and imaging/antibody-based methods that fit neatly into hypothesis testing. Looking ahead, we anticipate a scenario in which multi-omics data are seamlessly integrated, artificial intelligence enhances data analysis, and spatiotemporal profiling opens up new dimensions.

Effector Function Characteristics of Exhausted CD8+ T-cell in Microsatellite Stable and Unstable Gastric Cancer

“…Recent advancement in single-cell RNA sequencing (scRNA-seq) and spatial transcriptome technology have greatly facilitated the molecular characterization of the transcriptome. These methods enable the understanding of cellular heterogeneity at the molecular level and the profiling of subclusters of tumor-infiltrating lymphocytes [11][12][13].…”

“…CANCER RESEARCH AND TREATMENT (CRT) 13 Korean Cancer Association This article is protected by copyright. All rights reserved.…”