The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Inference of Tumor Evolution during Chemotherapy by Computational Modeling and In Situ Analysis of Genetic and Phenotypic Cellular Diversity
Open accessAbstract
Cancer therapy exerts a strong selection pressure that shapes tumor evolution, yet our knowledge of how tumors change during treatment is limited. Here, we report the analysis of cellular heterogeneity for genetic and phenotypic features and their spatial distribution in breast tumors pre- and post-neoadjuvant chemotherapy. We found that intratumor genetic diversity was tumor-subtype specific, and it did not change during treatment in tumors with partial or no response. However, lower pretreatment genetic diversity was significantly associated with pathologic complete response. In contrast, phenotypic diversity was different between pre- and posttreatment samples. We also observed significant changes in the spatial distribution of cells with distinct genetic and phenotypic features. We used these experimental data to develop a stochastic computational model to infer tumor growth patterns and evolutionary dynamics. Our results highlight the importance of integrated analysis of genotypes and phenotypes of single cells in intact tissues to predict tumor evolution.
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Cites
Comprehensive molecular portraits of human breast tumours
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11412 · Cited by 12,129
Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing
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MET Amplification Leads to Gefitinib Resistance in Lung Cancer by Activating ERBB3 Signaling
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Clonal evolution in relapsed acute myeloid leukaemia revealed by whole-genome sequencing
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Cited by
Garrido-Castro, A. C., Lin, N. U., & Polyak, K. (2019) · Cancer Discovery · doi:10.1158/2159-8290.cd-18-1177 · Cited by 1,451
Self-citationA Big Bang model of human colorectal tumor growth
Sottoriva, A., Kang, H., Ma, Z., Graham, T. A., Salomon, M. P., Zhao, J., Marjoram, P., Siegmund, K., Press, M. F., Shibata, D., et al. (2015) · Nature Genetics · doi:10.1038/ng.3214 · Cited by 1,015
Intratumor Heterogeneity: The Rosetta Stone of Therapy Resistance
Marusyk, A., Janiszewska, M., & Polyak, K. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.03.007 · Cited by 1,009
Self-citationExtrachromosomal oncogene amplification drives tumour evolution and genetic heterogeneity
Turner, K. M., Deshpande, V., Beyter, D., Koga, T., Rusert, J., Lee, C., Li, B., Arden, K., Ren, B., Nathanson, D. A., et al. (2017) · Nature · doi:10.1038/nature21356 · Cited by 847
Subclonal diversification of primary breast cancer revealed by multiregion sequencing
Yates, L. R., Gerstung, M., Knappskog, S., Desmedt, C., Gundem, G., Van Loo, P., Aas, T., Alexandrov, L. B., Larsimont, D., Davies, H., et al. (2015) · Nature Medicine · doi:10.1038/nm.3886 · Cited by 816
Metadata
- Authors
- Almendro, V., Cheng, Y.-K., Randles, A., Itzkovitz, S., Marusyk, A., Ametller, E., Gonzalez-Farre, X., Muñoz, M., Russnes, H. G., Helland, Å., Rye, I. H., Borresen-Dale, A.-L., Maruyama, R., van Oudenaarden, A., Dowsett, M., Jones, R. L., Reis-Filho, J., Gascon, P., Gönen, M., Michor, F., & Polyak, K.
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2014-02
- Volume
- 6
- Issue
- 3
- Pages
- 514-527
- ISSN
- 2211-1247 (ISSN-L)
- OpenAlex
- W2148847151
- Cited by
- 274
- References
- 7
- FWCI
- 12.34
- Type
- journal article
- Language
- en
- Open access
- gold
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- The paper
- Almendro, V., Cheng, Y.-K., Randles, A., Itzkovitz, S., Marusyk, A., Ametller, E., Gonzalez-Farre, X., Muñoz, M., Russnes, H. G., Helland, Å., Rye, I. H., Borresen-Dale, A.-L., Maruyama, R., van Oudenaarden, A., Dowsett, M., Jones, R. L., Reis-Filho, J., Gascon, P., Gönen, M., . . . Polyak, K. (2014). Inference of Tumor Evolution during Chemotherapy by Computational Modeling and In Situ Analysis of Genetic and Phenotypic Cellular Diversity. Cell Reports. https://doi.org/10.1016/j.celrep.2013.12.041
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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