The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Cancer Stem Cells: An Old Idea--A Paradigm Shift
Abstract
Although the concept that cancers arise from or germ was first proposed about 150 years ago, it is only recently that advances in stem cell biology have given new impetus to the stem cell hypothesis. Two important related concepts of this hypothesis are that (a) tumors originate in either tissue stem cells or their immediate progeny through dysregulation of the normally tightly regulated process of self-renewal. As a result of this, (b) tumors contain a cellular subcomponent that retains key stem cell properties. These properties include self-renewal, which drives tumorigenesis, and differentiation albeit aberrant that contributes to cellular heterogeneity. Recent experimental evidence in a variety of tumors has lent strong support to the cancer stem cell hypothesis that represents a paradigm shift in our understanding of carcinogenesis and tumor cell biology. This hypothesis has fundamental implications for cancer risk assessment, early detection, prognostication, and prevention. Furthermore, the current development of cancer therapeutics based on tumor regression may have produced agents that kill differentiated tumor cells while sparing the rare cancer stem cell population. The development of more effective cancer therapies may thus require targeting this important cell population.
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Cites
Orimo, A., Gupta, P. B., Sgroi, D. C., Arenzana-Seisdedos, F., Delaunay, T., Naeem, R., Carey, V. J., Richardson, A. L., & Weinberg, R. A. (2005) · Cell · doi:10.1016/j.cell.2005.02.034 · Cited by 3,759
Bmi-1 is required for maintenance of adult self-renewing haematopoietic stem cells.
Park, I.-K., Qian, D., Kiel, M., Becker, M. W., Pihalja, M., Weissman, I. L., Morrison, S. J., & Clarke, M. F. (2003) · Nature · doi:10.1038/nature01587 · Cited by 1,871
Granulocyte-macrophage progenitors as candidate leukemic stem cells in blast-crisis CML
Jamieson, C. H. M., Ailles, L. E., Dylla, S. J., Muijtjens, M., Jones, C., Zehnder, J. L., Gotlib, J., Li, K., Manz, M. G., Keating, A., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040258 · Cited by 1,485
Glinsky, G. V., Berezovska, O., & Glinskii, A. B. (2005) · Journal of Clinical Investigation · doi:10.1172/jci23412 · Cited by 916
Cited by
Identification and Characterization of Ovarian Cancer-Initiating Cells from Primary Human Tumors
Zhang, S., Balch, C., Chan, M. W., Lai, H.-C., Matei, D., Schilder, J. M., Yan, P. S., Huang, T. H.-M., & Nephew, K. P. (2008) · Cancer Research · doi:10.1158/0008-5472.can-08-0364 · Cited by 1,293
Quante, M., Tu, S. P., Tomita, H., Gonda, T., Wang, S. S. W., Takashi, S., Baik, G. H., Shibata, W., DiPrete, B., Betz, K. S., et al. (2011) · Cancer Cell · doi:10.1016/j.ccr.2011.01.020 · Cited by 1,044
Charafe-Jauffret, E., Ginestier, C., Iovino, F., Tarpin, C., Diebel, M., Esterni, B., Houvenaeghel, G., Extra, J.-M., Bertucci, F., Jacquemier, J., et al. (2010) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-09-1630 · Cited by 732
Self-citationBreast cancer stem cells, cytokine networks, and the tumor microenvironment
Korkaya, H., Liu, S., & Wicha, M. S. (2011) · Journal of Clinical Investigation · doi:10.1172/jci57099 · Cited by 616
Self-citationNonlinear modelling of cancer: bridging the gap between cells and tumours
Lowengrub, J. S., Frieboes, H. B., Jin, F., Chuang, Y.-L., Li, X., Macklin, P., Wise, S. M., & Cristini, V (2010) · Nonlinearity · doi:10.1088/0951-7715/23/1/r01 · Cited by 553
Metadata
- Authors
- Wicha, M. S., Liu, S., & Dontu, G.
- Venue
- AACR Education book
- Published
- 2008-04-12
- Volume
- 2008
- Issue
- 1
- Pages
- 383-396
- ISSN
- 1943-6475 (ISSN-L)
- OpenAlex
- W2177200774
- Cited by
- 207
- References
- 4
- FWCI
- 24.79
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
