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Dive into the research topics where Peter Eirew is active.

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Featured researches published by Peter Eirew.


Nature | 2006

Purification and unique properties of mammary epithelial stem cells.

John Stingl; Peter Eirew; Ian Ricketson; Mark Shackleton; François Vaillant; David Choi; Haiyan I. Li; Connie J. Eaves

Elucidation of the cellular and molecular mechanisms that maintain mammary epithelial tissue integrity is of broad interest and paramount to the design of more effective treatments for breast cancer. Evidence from both in vitro and in vivo experiments suggests that mammary cell differentiation is a hierarchical process originating in an uncommitted stem cell with self-renewal potential. However, analysis of the properties and regulation of mammary stem cells has been limited by a lack of methods for their prospective isolation. Here we report the use of multi-parameter cell sorting and limiting dilution transplant analysis to demonstrate the purification of a rare subset of adult mouse mammary cells that are able individually to regenerate an entire mammary gland within 6 weeks in vivo while simultaneously executing up to ten symmetrical self-renewal divisions. These mammary stem cells are phenotypically distinct from and give rise to mammary epithelial progenitor cells that produce adherent colonies in vitro. The mammary stem cells are also a rapidly cycling population in the normal adult and have molecular features indicative of a basal position in the mammary epithelium.


Nature | 2015

Dynamics of genomic clones in breast cancer patient xenografts at single-cell resolution.

Peter Eirew; Adi Steif; Jaswinder Khattra; Gavin Ha; Damian Yap; Hossein Farahani; Karen A. Gelmon; Stephen Chia; Colin Mar; Adrian Wan; Emma Laks; Justina Biele; Karey Shumansky; Jamie Rosner; Andrew McPherson; Cydney Nielsen; Andrew Roth; Calvin Lefebvre; Ali Bashashati; Camila P. E. de Souza; Celia Siu; Radhouane Aniba; Jazmine Brimhall; Arusha Oloumi; Tomo Osako; Alejandra Bruna; Jose L. Sandoval; Teresa Ruiz de Algara; Wendy Greenwood; Kaston Leung

Human cancers, including breast cancers, comprise clones differing in mutation content. Clones evolve dynamically in space and time following principles of Darwinian evolution, underpinning important emergent features such as drug resistance and metastasis. Human breast cancer xenoengraftment is used as a means of capturing and studying tumour biology, and breast tumour xenografts are generally assumed to be reasonable models of the originating tumours. However, the consequences and reproducibility of engraftment and propagation on the genomic clonal architecture of tumours have not been systematically examined at single-cell resolution. Here we show, using deep-genome and single-cell sequencing methods, the clonal dynamics of initial engraftment and subsequent serial propagation of primary and metastatic human breast cancers in immunodeficient mice. In all 15 cases examined, clonal selection on engraftment was observed in both primary and metastatic breast tumours, varying in degree from extreme selective engraftment of minor (<5% of starting population) clones to moderate, polyclonal engraftment. Furthermore, ongoing clonal dynamics during serial passaging is a feature of tumours experiencing modest initial selection. Through single-cell sequencing, we show that major mutation clusters estimated from tumour population sequencing relate predictably to the most abundant clonal genotypes, even in clonally complex and rapidly evolving cases. Finally, we show that similar clonal expansion patterns can emerge in independent grafts of the same starting tumour population, indicating that genomic aberrations can be reproducible determinants of evolutionary trajectories. Our results show that measurement of genomically defined clonal population dynamics will be highly informative for functional studies using patient-derived breast cancer xenoengraftment.


Nature Medicine | 2008

A method for quantifying normal human mammary epithelial stem cells with in vivo regenerative ability

Peter Eirew; John Stingl; Afshin Raouf; Gulisa Turashvili; Samuel Aparicio; Joanne T. Emerman; Connie J. Eaves

Previous studies have demonstrated that normal mouse mammary tissue contains a rare subset of mammary stem cells. We now describe a method for detecting an analogous subpopulation in normal human mammary tissue. Dissociated cells are suspended with fibroblasts in collagen gels, which are then implanted under the kidney capsule of hormone-treated immunodeficient mice. After 2–8 weeks, the gels contain bilayered mammary epithelial structures, including luminal and myoepithelial cells, their in vitro clonogenic progenitors and cells that produce similar structures in secondary transplants. The regenerated clonogenic progenitors provide an objective indicator of input mammary stem cell activity and allow the frequency and phenotype of these human mammary stem cells to be determined by limiting-dilution analysis. This new assay procedure sets the stage for investigations of mechanisms regulating normal human mammary stem cells (and possibly stem cells in other tissues) and their relationship to human cancer stem cell populations.


Breast Cancer Research | 2012

Phenotypic and functional characterisation of the luminal cell hierarchy of the mammary gland

Mona Shehata; Andrew E. Teschendorff; Gemma Sharp; Nikola Novcic; I. Alasdair Russell; Stefanie Avril; Michael D. Prater; Peter Eirew; Carlos Caldas; Christine J. Watson; John Stingl

IntroductionThe organisation of the mammary epithelial hierarchy is poorly understood. Our hypothesis is that the luminal cell compartment is more complex than initially described, and that an understanding of the developmental relationships within this lineage will help in understanding the cellular context in which breast tumours occur.MethodsWe used fluorescence-activated cell sorting along with in vitro and in vivo functional assays to examine the growth and differentiation properties of distinct subsets of human and mouse mammary epithelial cells. We also examined how loss of steroid hormones influenced these populations in vivo. Gene expression profiles were also obtained for all the purified cell populations and correlated to those obtained from breast tumours.ResultsThe luminal cell compartment of the mouse mammary gland can be resolved into nonclonogenic oestrogen receptor-positive (ER+) luminal cells, ER+ luminal progenitors and oestrogen receptor-negative (ER-) luminal progenitors. The ER+ luminal progenitors are unique in regard to cell survival, as they are relatively insensitive to loss of oestrogen and progesterone when compared with the other types of mammary epithelial cells. Analysis of normal human breast tissue reveals a similar hierarchical organisation composed of nonclonogenic luminal cells, and relatively differentiated (EpCAM+CD49f+ALDH-) and undifferentiated (EpCAM+CD49f+ALDH+) luminal progenitors. In addition, approximately one-quarter of human breast samples examined contained an additional population that had a distinct luminal progenitor phenotype, characterised by low expression of ERBB3 and low proliferative potential. Parent-progeny relationship experiments demonstrated that all luminal progenitor populations in both species are highly plastic and, at low frequencies, can generate progeny representing all mammary cell types. The ER- luminal progenitors in the mouse and the ALDH+ luminal progenitors in the human appear to be analogous populations since they both have gene signatures that are associated with alveolar differentiation and resemble those obtained from basal-like breast tumours.ConclusionThe luminal cell compartment in the mammary epithelium is more heterogeneous than initially perceived since progenitors of varying levels of luminal cell differentiation and proliferative capacities can be identified. An understanding of these cells will be essential for understanding the origins and the cellular context of human breast tumours.


Cell | 2016

A Biobank of Breast Cancer Explants with Preserved Intra-tumor Heterogeneity to Screen Anticancer Compounds

Alejandra Bruna; Oscar M. Rueda; Wendy Greenwood; Ankita Sati Batra; Maurizio Callari; R.N. Batra; Katherine Pogrebniak; Jose L. Sandoval; John W Cassidy; Ana Tufegdzic-Vidakovic; Stephen John Sammut; Linda Jones; Elena Provenzano; Richard D. Baird; Peter Eirew; James Hadfield; Matthew Eldridge; Anne McLaren-Douglas; Andrew Barthorpe; Howard Lightfoot; Mark J. O’Connor; Joe W. Gray; Javier Cortes; José Baselga; Elisabetta Marangoni; Alana L. Welm; Samuel Aparicio; Violeta Serra; Mathew J. Garnett; Carlos Caldas

Summary The inter- and intra-tumor heterogeneity of breast cancer needs to be adequately captured in pre-clinical models. We have created a large collection of breast cancer patient-derived tumor xenografts (PDTXs), in which the morphological and molecular characteristics of the originating tumor are preserved through passaging in the mouse. An integrated platform combining in vivo maintenance of these PDTXs along with short-term cultures of PDTX-derived tumor cells (PDTCs) was optimized. Remarkably, the intra-tumor genomic clonal architecture present in the originating breast cancers was mostly preserved upon serial passaging in xenografts and in short-term cultured PDTCs. We assessed drug responses in PDTCs on a high-throughput platform and validated several ex vivo responses in vivo. The biobank represents a powerful resource for pre-clinical breast cancer pharmacogenomic studies (http://caldaslab.cruk.cam.ac.uk/bcape), including identification of biomarkers of response or resistance.


Cell Cycle | 2006

Deciphering the mammary epithelial cell hierarchy.

John Stingl; Afshin Raouf; Peter Eirew; Connie J. Eaves

Clonal assays offer a powerful approach to dissecting the many events involved in the generation and maintenance of complex tissues from an undifferentiated stem cell pool. The application of such quantitative functional methodologies to studies of the hematopoietic system have been key to defining the hierarchy of progenitor subsets that reflect an irreversible stepwise process of lineage restriction. Recent studies now suggest that a similar paradigm applies to the normal mammary gland. The adult mouse mammary gland maintains a population of stem cells that generate biologically distinct and physically separable subpopulations of mammary epithelial progenitors which, in turn, generate terminally differentiated cells. Suggestive parallels between mouse and human mammary cells point to the likelihood that a similarly structured multi-step differentiation program characterizes the mammary gland from both species.


Stem Cells | 2012

Aldehyde Dehydrogenase Activity Is a Biomarker of Primitive Normal Human Mammary Luminal Cells

Peter Eirew; Nagarajan Kannan; David J.H.F. Knapp; François Vaillant; Joanne T. Emerman; Geoffrey J. Lindeman; Jane E. Visvader; Connie J. Eaves

Elevated aldehyde dehydrogenase (ALDH) expression/activity has been identified as an important biomarker of primitive cells in various normal and malignant human tissues. Here we examined the level and type of ALDH expression and activity in different subsets of phenotypically and functionally defined normal human mammary cells. We find that the most primitive human mammary stem and progenitor cell types with bilineage differentiation potential show low ALDH activity but undergo a marked, selective, and transient upregulation of ALDH activity at the point of commitment to the luminal lineage. This mirrors a corresponding change in transcripts and protein levels of ALDH1A3, an enzyme involved in retinoic acid synthesis and the most highly expressed ALDH gene in normal human mammary tissue. In contrast, ALDH1A1 is expressed at low levels in all mammary epithelial cells. These findings raise interesting questions about the reported association of ALDH activity with breast cancer stem cells and breast cancer prognosis. STEM CELLS 2012; 30:344–348.


Cell Stem Cell | 2014

Clonal Analysis via Barcoding Reveals Diverse Growth and Differentiation of Transplanted Mouse and Human Mammary Stem Cells

Long V. Nguyen; Maisam Makarem; Annaick Carles; Michelle Moksa; Nagarajan Kannan; Pawan Pandoh; Peter Eirew; Tomo Osako; Melanie D. Kardel; Alice M.S. Cheung; William Kennedy; Kane Tse; Thomas Zeng; Yongjun Zhao; R. Keith Humphries; Samuel Aparicio; Connie J. Eaves; Martin Hirst

Cellular barcoding offers a powerful approach to characterize the growth and differentiation activity of large numbers of cotransplanted stem cells. Here, we describe a lentiviral genomic-barcoding and analysis strategy and its use to compare the clonal outputs of transplants of purified mouse and human basal mammary epithelial cells. We found that both sources of transplanted cells produced many bilineage mammary epithelial clones in primary recipients, although primary clones containing only one detectable mammary lineage were also common. Interestingly, regardless of the species of origin, many clones evident in secondary recipients were not detected in the primary hosts, and others that were changed from appearing luminal-restricted to appearing bilineage. This barcoding methodology has thus revealed conservation between mice and humans of a previously unknown diversity in the growth and differentiation activities of their basal mammary epithelial cells stimulated to grow in transplanted hosts.


PLOS Biology | 2013

Developmental changes in the in vitro activated regenerative activity of primitive mammary epithelial cells.

Maisam Makarem; Nagarajan Kannan; Long V. Nguyen; David J.H.F. Knapp; Sneha Balani; Michael D. Prater; John Stingl; Afshin Raouf; Oksana Nemirovsky; Peter Eirew; Connie J. Eaves

Mouse fetal mammary cells display greater regenerative activity than do adult mammary cells when stimulated to proliferate in a new system that supports the production of transplantable mammary stem cells ex vivo.


Cold Spring Harb Mol Case Stud | 2015

Lessons learned from the application of whole-genome analysis to the treatment of patients with advanced cancers

Janessa Laskin; Steven J.M. Jones; Samuel Aparicio; Stephen Chia; Carolyn Ch'ng; Rebecca J. Deyell; Peter Eirew; Alexandra Fok; Karen A. Gelmon; Cheryl Ho; David Huntsman; Martin Jones; Katayoon Kasaian; Aly Karsan; Sreeja Leelakumari; Yvonne Y. Li; Howard John Lim; Yussanne Ma; Colin Mar; Monty Martin; Richard G. Moore; Andrew J. Mungall; Karen Mungall; Erin Pleasance; S. Rod Rassekh; Daniel John Renouf; Yaoqing Shen; Jacqueline E. Schein; Kasmintan A. Schrader; Sophie Sun

Given the success of targeted agents in specific populations it is expected that some degree of molecular biomarker testing will become standard of care for many, if not all, cancers. To facilitate this, cancer centers worldwide are experimenting with targeted “panel” sequencing of selected mutations. Recent advances in genomic technology enable the generation of genome-scale data sets for individual patients. Recognizing the risk, inherent in panel sequencing, of failing to detect meaningful somatic alterations, we sought to establish processes to integrate data from whole-genome analysis (WGA) into routine cancer care. Between June 2012 and August 2014, 100 adult patients with incurable cancers consented to participate in the Personalized OncoGenomics (POG) study. Fresh tumor and blood samples were obtained and used for whole-genome and RNA sequencing. Computational approaches were used to identify candidate driver mutations, genes, and pathways. Diagnostic and drug information were then sought based on these candidate “drivers.” Reports were generated and discussed weekly in a multidisciplinary team setting. Other multidisciplinary working groups were assembled to establish guidelines on the interpretation, communication, and integration of individual genomic findings into patient care. Of 78 patients for whom WGA was possible, results were considered actionable in 55 cases. In 23 of these 55 cases, the patients received treatments motivated by WGA. Our experience indicates that a multidisciplinary team of clinicians and scientists can implement a paradigm in which WGA is integrated into the care of late stage cancer patients to inform systemic therapy decisions.

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Connie J. Eaves

University of British Columbia

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Stephen Yip

University of British Columbia

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Steven J.M. Jones

University of British Columbia

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Marco A. Marra

University of British Columbia

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Karen A. Gelmon

University of British Columbia

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