期刊
NATURE METHODS
卷 18, 期 9, 页码 997-1012出版社
NATURE PORTFOLIO
DOI: 10.1038/s41592-021-01203-6
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资金
- Viertel Foundation Senior Medical Research Fellowship
- NHMRC [GNT1062820, GNT1100033, GNT1101378, GNT1124812, GNT1145184, GNT1182155, GNT2001514]
- Harry Secomb Foundation
- Australian Research Council DECRA fellowship [DE190100116]
- Susan G. Komen and Cancer Australia [CCR19606878]
- National Breast Cancer Foundation, Australia [IIRS-19-082]
- Love Your Sister Foundation
- ACRF Centre for Imaging the Tumour Environment at the Olivia Newton-John Cancer Research Institute
- ACRF Program for Resolving Cancer Complexity and Therapeutic Resistance at WEHI
- NHMRC Independent Research Institutes Infrastructure Support Scheme (IRIISS) grant
- Victorian government
- Australian Research Council [DE190100116] Funding Source: Australian Research Council
Understanding intratumoral heterogeneity through single-cell analyses has revealed new biomarkers, but lacks information on cellular location within the tumor microenvironment. New technologies enabling detection of cancer subclones in their native spatial context promise to drive the next generation of cancer research, diagnosis, and therapeutic strategies.
Understanding intratumoral heterogeneity-the molecular variation among cells within a tumor-promises to address outstanding questions in cancer biology and improve the diagnosis and treatment of specific cancer subtypes. Single-cell analyses, especially RNA sequencing and other genomics modalities, have been transformative in revealing novel biomarkers and molecular regulators associated with tumor growth, metastasis and drug resistance. However, these approaches fail to provide a complete picture of tumor biology, as information on cellular location within the tumor microenvironment is lost. New technologies leveraging multiplexed fluorescence, DNA, RNA and isotope labeling enable the detection of tens to thousands of cancer subclones or molecular biomarkers within their native spatial context. The expeditious growth in these techniques, along with methods for multiomics data integration, promises to yield a more comprehensive understanding of cell-to-cell variation within and between individual tumors. Here we provide the current state and future perspectives on the spatial technologies expected to drive the next generation of research and diagnostic and therapeutic strategies for cancer. This Review describes spatial omics and multiplexed imaging technologies and their current and future impact in studying tumor heterogeneity and cancer biology.
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