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Cited by 978

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Cancer heterogeneity: implications for targeted therapeutics

Open access
Fisher, R, Pusztai, L, Swanton, C·2013·British Journal of Cancer

Abstract

Developments in genomic techniques have provided insight into the remarkable genetic complexity of malignant tumours. There is increasing evidence that solid tumours may comprise of subpopulations of cells with distinct genomic alterations within the same tumour, a phenomenon termed intra-tumour heterogeneity. Intra-tumour heterogeneity is likely to have implications for cancer therapeutics and biomarker discovery, particularly in the era of targeted treatment, and evidence for a relationship between intra-tumoural heterogeneity and clinical outcome is emerging. Our understanding of the processes that exacerbate intra-tumoural heterogeneity, both iatrogenic and tumour specific, is likely to increase with the development and more widespread implementation of advanced sequencing technologies, and adaptation of clinical trial design to include comprehensive tissue collection protocols. The current evidence for intra-tumour heterogeneity and its relevance to cancer therapeutics will be presented in this mini-review.

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Crossref · 10.1038/bjc.2012.581

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Metadata

Authors
Fisher, R., Pusztai, L., & Swanton, C.
Venue
British Journal of Cancer
Published
2013-01-08
Volume
108
Issue
3
Pages
479-485
ISSN
  • 0007-0920 (ISSN-L)
  • 1532-1827
OpenAlex
W2069399470
Cited by
978
References
8
FWCI
20.18
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Cancer heterogeneity: implications for targeted therapeutics. https://app.cochat.ai/papers/10.1038/bjc.2012.581
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Fisher, R., Pusztai, L., & Swanton, C. (2013). Cancer heterogeneity: implications for targeted therapeutics. British Journal of Cancer. https://doi.org/10.1038/bjc.2012.581

Data sources

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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.