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The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Tumour heterogeneity in the clinic

Open access
Bedard, Philippe L., Hansen, Aaron R., Ratain, Mark J., Siu, Lillian L.·2013·Nature

Abstract

Recent therapeutic advances in oncology have been driven by the identification of tumour genotype variations between patients, called interpatient heterogeneity, that predict the response of patients to targeted treatments. Subpopulations of cancer cells with unique genomes in the same patient may exist across different geographical regions of a tumour or evolve over time, called intratumour heterogeneity. Sequencing technologies can be used to characterize intratumour heterogeneity at diagnosis, monitor clonal dynamics during treatment and identify the emergence of clinical resistance during disease progression. Genetic interpatient and intratumour heterogeneity can pose challenges for the design of clinical trials that use these data.

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Metadata

Authors
Bedard, P. L., Hansen, A. R., Ratain, M. J., & Siu, L. L.
Venue
Nature
Published
2013-09-18
Volume
501
Issue
7467
Pages
355-364
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W1987370132
Cited by
1,211
References
23
FWCI
33.32
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Tumour heterogeneity in the clinic. https://app.cochat.ai/papers/10.1038/nature12627
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Bedard, P. L., Hansen, A. R., Ratain, M. J., & Siu, L. L. (2013). Tumour heterogeneity in the clinic. Nature. https://doi.org/10.1038/nature12627

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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.