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 accessAbstract
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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Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing
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Distant metastasis occurs late during the genetic evolution of pancreatic cancer
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Cited by
Machine Learning methods for Quantitative Radiomic Biomarkers
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Intratumor heterogeneity in localized lung adenocarcinomas delineated by multiregion sequencing
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The urgent need to recover MHC class I in cancers for effective immunotherapy
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Translational Implications of Tumor Heterogeneity
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Self-citationOrganoid Models of Human Liver Cancers Derived from Tumor Needle Biopsies
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“In any case, the coexistence of different cancer cell subclones with different sensitivities to targeted therapies is an important factor linked to therapy failure (Fisher et al., 2013).”
Background
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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