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Cited by 1,274

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Cancer Stem Cells: Models and Concepts

Dalerba, Piero, Cho, Robert W., Clarke, Michael F.·2007·Annual Review of Medicine

Abstract

Although monoclonal in origin, most tumors appear to contain a heterogeneous population of cancer cells. This observation is traditionally explained by postulating variations in tumor microenvironment and coexistence of multiple genetic subclones, created by progressive and divergent accumulation of independent somatic mutations. An additional explanation, however, envisages human tumors not as mere monoclonal expansions of transformed cells, but rather as complex tridimensional tissues where cancer cells become functionally heterogeneous as a result of differentiation. According to this second scenario, tumors act as caricatures of their corresponding normal tissues and are sustained in their growth by a pathological counterpart of normal adult stem cells, cancer stem cells. This model, first developed in human myeloid leukemias, is today being extended to solid tumors, such as breast and brain cancer. We review the biological basis and the therapeutic implications of the stem cell model of cancer.

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Crossref · 10.1146/annurev.med.58.062105.204854

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Metadata

Authors
Dalerba, P., Cho, R. W., & Clarke, M. F.
Venue
Annual Review of Medicine
Published
2007-02-01
Volume
58
Issue
1
Pages
267-284
ISSN
  • 0066-4219 (ISSN-L)
  • 1545-326X
OpenAlex
W2134987819
Cited by
1,274
References
11
FWCI
3.86
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cancer Stem Cells: Models and Concepts. https://app.cochat.ai/papers/10.1146/annurev.med.58.062105.204854
The paper
Dalerba, P., Cho, R. W., & Clarke, M. F. (2007). Cancer Stem Cells: Models and Concepts. Annual Review of Medicine. https://doi.org/10.1146/annurev.med.58.062105.204854

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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.