The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Emergence of a High-Plasticity Cell State during Lung Cancer Evolution
Open accessAbstract
SUMMARY Tumor evolution from a single cell into a malignant, heterogeneous tissue remains poorly understood. Here, we profile single-cell transcriptomes of genetically engineered mouse lung tumors at seven stages, from pre-neoplastic hyperplasia to adenocarcinoma. The diversity of transcriptional states increases over time and is reproducible across tumors and mice. Cancer cells progressively adopt alternate lineage identities, computationally predicted to be mediated through a common transitional, high-plasticity cell state (HPCS). Accordingly, HPCS cells prospectively isolated from mouse tumors and human patient-derived xenografts display high capacity for differentiation and proliferation. The HPCS program is associated with poor survival across human cancers and demonstrates chemoresistance in mice. Our study reveals a central principle underpinning intra-tumoral heterogeneity and motivates therapeutic targeting of the HPCS.
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Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
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The Molecular Signatures Database Hallmark Gene Set Collection
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Integrating single-cell transcriptomic data across different conditions, technologies, and species
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Molecular signatures database (MSigDB) 3.0
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Self-citationSpatial reconstruction of single-cell gene expression data
Satija, R., Farrell, J. A., Gennert, D., Schier, A. F., & Regev, A. (2015) · Nature Biotechnology · doi:10.1038/nbt.3192 · Cited by 7,055 · cited 1×
“First, we identified transcriptionally over-dispersed genes within each experimental batch by examining the difference of the coefficient of variation (CV) with the median CV for other genes with a similar mean expression (Satija et al., 2015).”
MethodSelf-citationA robust and high-throughput Cre reporting and characterization system for the whole mouse brain
Madisen, L., Zwingman, T. A., Sunkin, S. M., Oh, S. W., Zariwala, H. A., Gu, H., Ng, L. L., Palmiter, R. D., Hawrylycz, M. J., Jones, A. R., et al. (2010) · Nature Neuroscience · doi:10.1038/nn.2467 · Cited by 6,907
Pembrolizumab plus chemotherapy in metastatic non–small-cell lung cancer
Gandhi, L., Rodríguez-Abreu, D., Gadgeel, S., Esteban, E., Felip, E., De Angelis, F., Domine, M., Clingan, P., Hochmair, M. J., Powell, S. F., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1801005 · Cited by 6,607 · cited 2×
“We next examined the relative ability of HPCS cells to resist chemotherapy by scRNA-Seq of advanced KPT LUAD tumors 72 h after a single dose of cisplatin, a component of firstline chemotherapies for advanced-stage LUAD patients (Gandhi et al., 2018; Schiller et al., 2002) and a well-characterized chemotherapy agent in…”
MethodComprehensive molecular profiling of lung adenocarcinoma
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Cited by
Hallmarks of Cancer: New Dimensions
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Molecular pathogenesis and systemic therapies for hepatocellular carcinoma
Llovet, J. M., Pinyol, R., Kelley, R. K., El-Khoueiry, A., Reeves, H. L., Wang, X. W., Gores, G. J., & Villanueva, A. (2022) · Nature Cancer · doi:10.1038/s43018-022-00357-2 · Cited by 498
Tumor initiation and early tumorigenesis: molecular mechanisms and interventional targets
Zhang, S., Xiao, X., Yi, Y., Wang, X., Zhu, L., Shen, Y., Lin, D., & Wu, C. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01848-7 · Cited by 399
Metadata
- Authors
- Marjanovic, N. D., Hofree, M., Chan, J. E., Canner, D., Wu, K., Trakala, M., Hartmann, G. G., Smith, O. C., Kim, J. Y., Evans, K. V., Hudson, A., Ashenberg, O., Porter, C. B. M., Bejnood, A., Subramanian, A., Pitter, K., Yan, Y., Delorey, T., Phillips, D. R., Shah, N., Chaudhary, O., Tsankov, A., Hollmann, T., Rekhtman, N., Massion, P. P., Poirier, J. T., Mazutis, L., Li, R., Lee, J.-H., Amon, A., Rudin, C. M., Jacks, T., Regev, A., & Tammela, T.
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 38
- Issue
- 2
- Pages
- 229-246.e13
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W3044347277
- Cited by
- 405
- References
- 35
- FWCI
- 16.20
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Marjanovic, N. D., Hofree, M., Chan, J. E., Canner, D., Wu, K., Trakala, M., Hartmann, G. G., Smith, O. C., Kim, J. Y., Evans, K. V., Hudson, A., Ashenberg, O., Porter, C. B. M., Bejnood, A., Subramanian, A., Pitter, K., Yan, Y., Delorey, T., Phillips, D. R., . . . Tammela, T. (2020). Emergence of a High-Plasticity Cell State during Lung Cancer Evolution. Cancer Cell. https://doi.org/10.1016/j.ccell.2020.06.012
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
