The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Genetic Predisposition Directs Breast Cancer Phenotype by Dictating Progenitor Cell Fate
Open accessAbstract
Women with inherited mutations in the BRCA1 gene have increased risk of developing breast cancer, but also exhibit a predisposition for the development of aggressive basal-like breast tumors. We report here that breast epithelial cells derived from patients harboring deleterious mutations in BRCA1 (BRCA1mut/+) give rise to tumors with increased basal differentiation relative to cells from BRCA1+/+ patients. Molecular analysis of disease-free breast tissues from BRCA1mut/+ patients revealed defects in progenitor cell lineage commitment even before cancer incidence. Moreover, we discovered that the transcriptional repressor Slug is an important functional regulator of human breast progenitor cell lineage commitment and differentiation and that it is aberrantly expressed in BRCA1mut/+ tissues. Slug expression is necessary for increased basal-like phenotypes prior to and following neoplastic transformation. These findings demonstrate that the genetic background of patient populations, in addition to affecting incidence rates, significantly impacts progenitor cell fate commitment and, therefore, tumor phenotype.
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kConFab, Lim, E., Vaillant, F., Wu, D., Forrest, N. C., Pal, B., Hart, A. H., Asselin-Labat, M.-L., Gyorki, D. E., Ward, T., et al. (2009) · Nature Medicine · doi:10.1038/nm.2000 · Cited by 1,492 · cited 5×
“…identified four populations of epithelial cells: EpCAMhi/ CD49f mature luminal cells, EpCAMhi/CD49f+ luminal progenitor cells, EpCAMlow/CD49f+ basal/myoepithelial (ME) cells, and EpCAM /CD49f+ basal progenitor cells (Figure 3D; Figure S2; Keller et al., 2010; Lim et al., 2009; Eirew et al., 2008).”
BackgroundResultInfluentialMolecular characterization of the tumor microenvironment in breast cancer
Allinen, M., Beroukhim, R., Cai, L., Brennan, C., Lahti-Domenici, J., Huang, H., Porter, D., Hu, M., Chin, L., Richardson, A., et al. (2004) · Cancer Cell · doi:10.1016/j.ccr.2004.06.010 · Cited by 1,299
Self-citationDevelopment of a self-inactivating lentivirus vector
Miyoshi, H., Blömer, U., Takahashi, M., Gage, F. H., & Verma, I. M. (1998) · Journal of Virology · doi:10.1128/jvi.72.10.8150-8157.1998 · Cited by 1,196
BRCA1 and BRCA2: 1994 and beyond
Narod, S. A., & Foulkes, W. D. (2004) · Nature Reviews Cancer · doi:10.1038/nrc1431 · Cited by 967
Human breast cancer cells generated by oncogenic transformation of primary mammary epithelial cells
Elenbaas, B., Spirio, L., Koerner, F., Fleming, M. D., Zimonjic, D. B., Donaher, J. L., Popescu, N. C., Hahn, W. C., & Weinberg, R. A. (2001) · Genes & Development · doi:10.1101/gad.828901 · Cited by 878
BRCA1 and BRCA2 and the genetics of breast and ovarian cancer
Welcsh, P. L. (2001) · Human Molecular Genetics · doi:10.1093/hmg/10.7.705 · Cited by 648 · cited 1×
“This method involves three distinct temporal steps: (1) clearing of the murine mammary fat pad, (2) reconstitution of the mammary fat pad with human stromal cells, and (3) introduction of lentiviral-infected organoids comixed with activated fibroblasts into the humanized fat pad.”
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Homologous Recombination and Human Health: The Roles of BRCA1, BRCA2, and Associated Proteins
Prakash, R., Zhang, Y., Feng, W., & Jasin, M. (2015) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a016600 · Cited by 869
Principles for the post-GWAS functional characterization of cancer risk loci
Freedman, M. L., Monteiro, A. N. A., Gayther, S. A., Coetzee, G. A., Risch, A., Plass, C., Casey, G., De Biasi, M., Carlson, C., Duggan, D., et al. (2011) · Nature Genetics · doi:10.1038/ng.840 · Cited by 438
Retinoic acid receptors: From molecular mechanisms to cancer therapy
di Masi, A., Leboffe, L., De Marinis, E., Pagano, F., Cicconi, L., Rochette-Egly, C., Lo-Coco, F., Ascenzi, P., & Nervi, C. (2015) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2014.12.003 · Cited by 403
Aging-Associated Alterations in Mammary Epithelia and Stroma Revealed by Single-Cell RNA Sequencing
Li, C. M.-C., Shapiro, H., Tsiobikas, C., Selfors, L. M., Chen, H., Rosenbluth, J., Moore, K., Gupta, K. P., Gray, G. K., Oren, Y., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108566 · Cited by 184
Zawistowski, J. S., Bevill, S. M., Goulet, D. R., Stuhlmiller, T. J., Beltran, A. S., Olivares-Quintero, J. F., Singh, D., Sciaky, N., Parker, J. S., Rashid, N. U., et al. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-16-0653 · Cited by 180
Metadata
- Authors
- Proia, T. A., Keller, P. J., Gupta, P. B., Klebba, I., Jones, A. D., Sedic, M., Gilmore, H., Tung, N., Naber, S. P., Schnitt, S., Lander, E. S., & Kuperwasser, C.
- Venue
- Cell Stem Cell
- Publisher
- Elsevier BV
- Published
- 2011-02
- Volume
- 8
- Issue
- 2
- Pages
- 149-163
- ISSN
- 1875-9777 (ISSN-L)
- 1934-5909
- OpenAlex
- W2064616338
- Cited by
- 393
- References
- 6
- FWCI
- 17.10
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Proia, T. A., Keller, P. J., Gupta, P. B., Klebba, I., Jones, A. D., Sedic, M., Gilmore, H., Tung, N., Naber, S. P., Schnitt, S., Lander, E. S., & Kuperwasser, C. (2011). Genetic Predisposition Directs Breast Cancer Phenotype by Dictating Progenitor Cell Fate. Cell Stem Cell. https://doi.org/10.1016/j.stem.2010.12.007
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