The DOI matches its Crossref record; 158 of the 158 references it cites were found in a registry or an index.
Tumour heterogeneity and metastasis at single-cell resolution
Open accessAbstract
Tumours comprise a heterogeneous collection of cells with distinct genetic and phenotypic properties that can differentially promote progression, metastasis and drug resistance. Emerging single-cell technologies provide a new opportunity to profile individual cells within tumours and investigate what roles they play in these processes. This Review discusses key technological considerations for single-cell studies in cancer, new findings using single-cell technologies and critical open questions for future applications.
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“Indeed, single-cell methods applied to cancer cells have described heterogeneity in terms of transcriptomics, epigenomics, metabolomics, and proteomics,5,6”
From Dynamic IL-6R/STAT3 signaling leads to heterogeneity of metabolic phenotype in pancreatic ductal adenocarcinoma cells (2024) · cites this paper as [6]
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“evidence points to a substantial level of metabolic heterogeneity even in aggressive cancers”
From Dynamic IL-6R/STAT3 signaling leads to heterogeneity of metabolic phenotype in pancreatic ductal adenocarcinoma cells (2024) · cites this paper as [6]
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“Desynchronized dynamics would ration resources evenly, while maintaining a relatively “normal” bulk metabolic rate, as shown in primary tumors.”
From Dynamic IL-6R/STAT3 signaling leads to heterogeneity of metabolic phenotype in pancreatic ductal adenocarcinoma cells (2024) · cites this paper as [6]
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Cited by
Sorted by citations
Molecular principles of metastasis: a hallmark of cancer revisited
Fares, J., Fares, M. Y., Khachfe, H. H., Salhab, H. A., & Fares, Y. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-0134-x · Cited by 2,536
Exploring tissue architecture using spatial transcriptomics
Rao, A., Barkley, D., França, G. S., & Yanai, I. (2021) · Nature · doi:10.1038/s41586-021-03634-9 · Cited by 1,700
Eleven grand challenges in single-cell data science
Lähnemann, D., Köster, J., Szczurek, E., McCarthy, D. J., Hicks, S. C., Robinson, M. D., Vallejos, C. A., Campbell, K. R., Beerenwinkel, N., Mahfouz, A., et al. (2020) · Genome Biology · doi:10.1186/s13059-020-1926-6 · Cited by 1,327
A compendium of mutational cancer driver genes
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Macrophage diversity in cancer revisited in the era of single-cell omics
Ma, R., Black, A., & Qian, B. (2022) · Trends in Immunology · doi:10.1016/j.it.2022.04.008 · Cited by 732
Metadata
- Authors
- Lawson, D. A., Kessenbrock, K., Davis, R. T., Pervolarakis, N., & Werb, Z.
- Affiliations
- University of California, Irvine (US)
- University of California, San Francisco (US)
- Corresponding author
- Lawson, Devon A.
- Kessenbrock, Kai
- Venue
- Nature Cell Biology
- Published
- 2018-11-26
- Volume
- 20
- Issue
- 12
- Pages
- 1349-1360
- ISSN
- 1465-7392 (ISSN-L)
- 1476-4679
- PMC
- PMC6477686
- OpenAlex
- W2900850487
- Cited by
- 606
- References
- 157
- Citations by year
- 2026: 51 · 2025: 78 · 2024: 89 · 2023: 74 · 2022: 90 · 2021: 98 · 2020: 76 · 2019: 48 · 2018: 1
- FWCI
- 5.55
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Cell Biology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Cancer Institute (R00CA181490, U01CA199315, K22CA190511, U54CA217378, T32CA009054)
- National Institute of Biomedical Imaging and Bioengineering (T32EB009418)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Keywords
- tumor heterogeneity, metastasis, single-cell technologies, single-cell profiling, tumor progression, drug resistance, tumor cell subpopulations
- MeSH terms
- Humans, Neoplastic Cells, Circulating, Neoplasm Metastasis, Neoplasms, Biomarkers, Tumor, Gene Expression Regulation, Neoplastic, Genetic Heterogeneity, Single-Cell Analysis, Tumor Microenvironment
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