학술논문

The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution.
Document Type
article
Source
Cell. 181(2)
Subject
Human Tumor Atlas Network
Humans
Neoplasms
Cell Transformation
Neoplastic
Genomics
Atlases as Topic
Single-Cell Analysis
Tumor Microenvironment
Precision Medicine
AI
Cancer Moonshot
Human Tumor Atlas
cancer transitions
data integration
data visualization
metastasis
pre-cancer
resistance
single-cell genomics
spatial genomics
spatial imaging
tumor
Human Genome
Clinical Research
Genetics
Cancer
Bioengineering
2.1 Biological and endogenous factors
Aetiology
Good Health and Well Being
Biological Sciences
Medical and Health Sciences
Developmental Biology
Language
Abstract
Crucial transitions in cancer-including tumor initiation, local expansion, metastasis, and therapeutic resistance-involve complex interactions between cells within the dynamic tumor ecosystem. Transformative single-cell genomics technologies and spatial multiplex in situ methods now provide an opportunity to interrogate this complexity at unprecedented resolution. The Human Tumor Atlas Network (HTAN), part of the National Cancer Institute (NCI) Cancer Moonshot Initiative, will establish a clinical, experimental, computational, and organizational framework to generate informative and accessible three-dimensional atlases of cancer transitions for a diverse set of tumor types. This effort complements both ongoing efforts to map healthy organs and previous large-scale cancer genomics approaches focused on bulk sequencing at a single point in time. Generating single-cell, multiparametric, longitudinal atlases and integrating them with clinical outcomes should help identify novel predictive biomarkers and features as well as therapeutically relevant cell types, cell states, and cellular interactions across transitions. The resulting tumor atlases should have a profound impact on our understanding of cancer biology and have the potential to improve cancer detection, prevention, and therapeutic discovery for better precision-medicine treatments of cancer patients and those at risk for cancer.