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      Lineage analysis of basal epithelial cells reveals their unexpected plasticity and supports a cell of origin model for prostate cancer heterogeneity

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          Abstract

          A key issue in cancer biology is whether oncogenic transformation of different cell types of origin within an adult tissue gives rise to distinct tumor subtypes that differ in their prognosis and/or treatment response. We now show that initiation of prostate tumors in basal or luminal epithelial cells in mouse models results in tumors with distinct molecular signatures that are predictive of human patient outcomes. Furthermore, our analysis of untransformed basal cells reveals an unexpected assay-dependence of their stem cell properties in sphere formation and transplantation assays versus genetic lineage-tracing during prostate regeneration and adult tissue homeostasis. Although oncogenic transformation of basal cells gives rise to tumors with luminal phenotypes, cross-species bioinformatic analyses indicate that luminal origin tumors are more aggressive than basal origin tumors, and identify a molecular signature associated with patient outcome. Our results reveal the inherent plasticity of basal cells, and support a model in which different cells of origin generate distinct molecular subtypes of prostate cancer.

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          Most cited references37

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          Basal cells as stem cells of the mouse trachea and human airway epithelium.

          The pseudostratified epithelium of the mouse trachea and human airways contains a population of basal cells expressing Trp-63 (p63) and cytokeratins 5 (Krt5) and Krt14. Using a KRT5-CreER(T2) transgenic mouse line for lineage tracing, we show that basal cells generate differentiated cells during postnatal growth and in the adult during both steady state and epithelial repair. We have fractionated mouse basal cells by FACS and identified 627 genes preferentially expressed in a basal subpopulation vs. non-BCs. Analysis reveals potential mechanisms regulating basal cells and allows comparison with other epithelial stem cells. To study basal cell behaviors, we describe a simple in vitro clonal sphere-forming assay in which mouse basal cells self-renew and generate luminal cells, including differentiated ciliated cells, in the absence of stroma. The transcriptional profile identified 2 cell-surface markers, ITGA6 and NGFR, which can be used in combination to purify human lung basal cells by FACS. Like those from the mouse trachea, human airway basal cells both self-renew and generate luminal daughters in the sphere-forming assay.
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            Gene expression profiling identifies clinically relevant subtypes of prostate cancer.

            Prostate cancer, a leading cause of cancer death, displays a broad range of clinical behavior from relatively indolent to aggressive metastatic disease. To explore potential molecular variation underlying this clinical heterogeneity, we profiled gene expression in 62 primary prostate tumors, as well as 41 normal prostate specimens and nine lymph node metastases, using cDNA microarrays containing approximately 26,000 genes. Unsupervised hierarchical clustering readily distinguished tumors from normal samples, and further identified three subclasses of prostate tumors based on distinct patterns of gene expression. High-grade and advanced stage tumors, as well as tumors associated with recurrence, were disproportionately represented among two of the three subtypes, one of which also included most lymph node metastases. To further characterize the clinical relevance of tumor subtypes, we evaluated as surrogate markers two genes differentially expressed among tumor subgroups by using immunohistochemistry on tissue microarrays representing an independent set of 225 prostate tumors. Positive staining for MUC1, a gene highly expressed in the subgroups with "aggressive" clinicopathological features, was associated with an elevated risk of recurrence (P = 0.003), whereas strong staining for AZGP1, a gene highly expressed in the other subgroup, was associated with a decreased risk of recurrence (P = 0.0008). In multivariate analysis, MUC1 and AZGP1 staining were strong predictors of tumor recurrence independent of tumor grade, stage, and preoperative prostate-specific antigen levels. Our results suggest that prostate tumors can be usefully classified according to their gene expression patterns, and these tumor subtypes may provide a basis for improved prognostication and treatment stratification.
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              Molecular genetics of prostate cancer: new prospects for old challenges.

              Despite much recent progress, prostate cancer continues to represent a major cause of cancer-related mortality and morbidity in men. Since early studies on the role of the androgen receptor that led to the advent of androgen deprivation therapy in the 1940s, there has long been intensive interest in the basic mechanisms underlying prostate cancer initiation and progression, as well as the potential to target these processes for therapeutic intervention. Here, we present an overview of major themes in prostate cancer research, focusing on current knowledge of principal events in cancer initiation and progression. We discuss recent advances, including new insights into the mechanisms of castration resistance, identification of stem cells and tumor-initiating cells, and development of mouse models for preclinical evaluation of novel therapuetics. Overall, we highlight the tremendous research progress made in recent years, and underscore the challenges that lie ahead.
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                Author and article information

                Journal
                100890575
                21417
                Nat Cell Biol
                Nat. Cell Biol.
                Nature cell biology
                1465-7392
                1476-4679
                30 July 2013
                24 February 2013
                March 2013
                01 September 2013
                : 15
                : 3
                : 274-283
                Affiliations
                [1 ]Departments of Medicine and Genetics and Development, Columbia University College of Physicians and Surgeons, New York, NY 10032
                [2 ]Department of Biomedical Informatics and Center for Computational Biology and Bioinformatics, Columbia University College of Physicians and Surgeons, New York, NY 10032
                [3 ]Departments of Urology and Pathology and Cell Biology, Columbia University College of Physicians and Surgeons, New York, NY 10032
                [4 ]Herbert Irving Comprehensive Cancer Center, Columbia University College of Physicians and Surgeons, New York, NY 10032
                [5 ]Center for Comparative Medicine and Department of Pathology, School of Medicine, University of California, Davis 95616
                Author notes
                [* ]Author for correspondence at: phone: (212) 851-4723; fax: (212) 851-4572; mshen@ 123456columbia.edu
                Article
                NIHMS495810
                10.1038/ncb2697
                3743266
                23434823
                18961937-b91b-4c52-964c-515faa391f39

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                History
                Funding
                Funded by: National Institute of Diabetes and Digestive and Kidney Diseases : NIDDK
                Award ID: R01 DK076602 || DK
                Funded by: National Cancer Institute : NCI
                Award ID: P01 CA154293 || CA
                Categories
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                Cell biology
                Cell biology

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