The Spatial and Genomic Hierarchy of Tumor Ecosystems Revealed by Single-Cell Technologies.
|
IF: 0
|
Cited by: 28
|

Abstract

Many malignancies display heterogeneous features that support cancer progression. Emerging high-resolution methods provide a view of heterogeneity that recognizes the influence of diverse cell types and cell states of the tumor microenvironment. Here we outline a hierarchical organization of tumor heterogeneity from a genomic perspective, summarize the origins of spatially patterned metabolic features, and review recent developments in single-cell and spatially resolved techniques for genome-wide study of multicellular tissues. We also discuss how integrating these approaches can yield new insights into human cancer and emerging immune therapies. Applying these technologies for the analysis of primary tumors, patient-derived xenografts, and in vitro systems holds great promise for understanding the hierarchical structure and environmental influences that underlie tumor ecosystems.

Keywords

LCM-seq
Spatial Transcriptomics
seqFISH+
MERFISH
RT-LAMP
MALDI
Slide-seq
CycIF
Spatial Genomics
Spatial reconstruction
FISSEQ
NICHE-seq
epigenetics
genomics
hypoxia
in situ
metabolism
stroma

MeSH terms

Biomarkers, Tumor
Genetic Predisposition to Disease
Genome-Wide Association Study
Genomics
Humans
Immunomodulation
Lymphocytes, Tumor-Infiltrating
Mutation
Neoplasms
Single-Cell Analysis
Tumor Microenvironment

Authors

Smith, Eric A
Hodges, H Courtney

Recommend literature





Similar data