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Journal ArticleDOI

The tumor cell-derived matrix of lobular breast cancer: a new vulnerability.

TL;DR: Sflomos et al. as mentioned in this paper used an intraductal injection-based xenograft system to identify novel tumor cell-specific transcriptional signatures in invasive lobular carcinoma (ILC).
Abstract: Invasive lobular carcinoma (ILC) of the breast is a very common disease. Despite its prevalence, these tumors are relatively understudied. One reason for this is a relative lack of models for ILC. This challenge was addressed by Brisken and colleagues through development of an intraductal injection-based xenograft system for the study of ERα+ breast cancers, including both ILC and more common invasive ductal carcinoma (IDC; Sflomos et al, 2016). In this issue of EMBO Molecular Medicine, the same group have applied intraductal injection-based xenografts to identify novel tumor cell-specific transcriptional signatures in ILC (Sflomos et al, 2021). In doing so they found overexpression of lysyl oxidase-like 1 (LOXL1) to be both responsible for the frequently seen stiff collagen-rich extracellular matrix of lobular breast cancer and essential for their robust growth and metastatic dissemination in vivo, thereby identifying a novel therapeutic target.
Citations
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Journal ArticleDOI
27 Oct 2021-Cancers
TL;DR: Invasive lobular carcinoma (ILC) accounts for up to 15% of all breast cancer (BC) cases and responds well to endocrine treatment when estrogen receptor α-positive (ER+) yet differs in many biological aspects from other ER+ BC subtypes as mentioned in this paper.
Abstract: Invasive lobular carcinoma (ILC) accounts for up to 15% of all breast cancer (BC) cases and responds well to endocrine treatment when estrogen receptor α-positive (ER+) yet differs in many biological aspects from other ER+ BC subtypes. Up to 30% of patients with ILC will develop late-onset metastatic disease up to ten years after initial tumor diagnosis and may experience failure of systemic therapy. Unfortunately, preclinical models to study ILC progression and predict the efficacy of novel therapeutics are scarce. Here, we review the current advances in ILC modeling, including cell lines and organotypic models, genetically engineered mouse models, and patient-derived xenografts. We also underscore four critical challenges that can be addressed using ILC models: drug resistance, lobular tumor microenvironment, tumor dormancy, and metastasis. Finally, we highlight the advantages of shared experimental ILC resources and provide essential considerations from the perspective of the European Lobular Breast Cancer Consortium (ELBCC), which is devoted to better understanding and translating the molecular cues that underpin ILC to clinical diagnosis and intervention. This review will guide investigators who are considering the implementation of ILC models in their research programs.

11 citations

Journal ArticleDOI
TL;DR: In this paper , the authors compare intraductal xenografts of ER + and triple-negative (TN) BC cells and demonstrate that disseminated TNBC cells proliferate similarly as TNBC at the primary site whereas disseminated ER + BC cells proliferated slower, they decrease CDH1 and increase ZEB1 , 2 expressions, and exhibit characteristics of epithelial-mesenchymal plasticity (EMP) and dormancy.
Abstract: Abstract More than 70% of human breast cancers (BCs) are estrogen receptor α-positive (ER + ). A clinical challenge of ER + BC is that they can recur decades after initial treatments. Mechanisms governing latent disease remain elusive due to lack of adequate in vivo models. We compare intraductal xenografts of ER + and triple-negative (TN) BC cells and demonstrate that disseminated TNBC cells proliferate similarly as TNBC cells at the primary site whereas disseminated ER + BC cells proliferate slower, they decrease CDH1 and increase ZEB1 , 2 expressions, and exhibit characteristics of epithelial-mesenchymal plasticity (EMP) and dormancy. Forced E-cadherin expression overcomes ER + BC dormancy. Cytokine signalings are enriched in more active versus inactive disseminated tumour cells, suggesting microenvironmental triggers for awakening. We conclude that intraductal xenografts model ER + BC dormancy and reveal that EMP is essential for the generation of a dormant cell state and that targeting exit from EMP has therapeutic potential.

8 citations

Journal ArticleDOI
TL;DR: In this paper, macromolecular crowding was combined with transforming growth factor β1 (TGFβ1) in human dermal fibroblast cultures to develop a skin fibrosis in vitro model and to screen a range of anti-fibrotic families.
Abstract: Skin fibrosis still constitutes an unmet clinical need. Although pharmacological strategies are at the forefront of scientific and technological research and innovation, their clinical translation is hindered by the poor predictive capacity of the currently available in vitro fibrosis models. Indeed, customarily utilised in vitro scarring models are conducted in a low extracellular matrix milieu, which constitutes an oxymoron for the in-hand pathophysiology. Herein, we coupled macromolecular crowding (enhances and accelerates extracellular matrix deposition) with transforming growth factor β1 (TGFβ1; induces trans-differentiation of fibroblasts to myofibroblasts) in human dermal fibroblast cultures to develop a skin fibrosis in vitro model and to screen a range of anti-fibrotic families (corticosteroids, inhibitors of histone deacetylases, inhibitors of collagen crosslinking, inhibitors of TGFβ1 and pleiotropic inhibitors of fibrotic activation). Data obtained demonstrated that macromolecular crowding combined with TGFβ1 significantly enhanced collagen deposition and myofibroblast transformation. Among the anti-fibrotic compounds assessed, trichostatin A (inhibitors of histone deacetylases); serelaxin and pirfenidone (pleiotropic inhibitors of fibrotic activation); and soluble TGFβ receptor trap (inhibitor of TGFβ signalling) resulted in the highest decrease of collagen type I deposition (even higher than triamcinolone acetonide, the gold standard in clinical practice). This study further advocates the potential of macromolecular crowding in the development of in vitro pathophysiology models.

5 citations

Journal ArticleDOI
TL;DR: In this paper , the authors identify elevated MYO10 expression in human DCIS and invasive breast cancer, and this suggests links with disease progression, and they show that myosin-X promotes filopodia formation and cell invasion in vitro and cancer-cell dissemination from progressively invasive DCIS xenografts.

4 citations

Posted ContentDOI
26 Jul 2021-bioRxiv
TL;DR: In this article, the authors compare tumor progression of ER+ and triple-negative (TN) BC subtypes with a clinically relevant mouse intraductal xenografting approach (MIND).
Abstract: Estrogen receptor α-positive (ER+) breast cancers (BCs) represent more than 70% of all breast cancers and pose a particular clinical challenge because they recur up to decades after initial diagnosis and treatment. The mechanisms governing tumor cell dormancy and latent disease remain elusive due to a lack of adequate models. Here, we compare tumor progression of ER+ and triple-negative (TN) BC subtypes with a clinically relevant mouse intraductal xenografting approach (MIND). Both ER+ and TN BC cells disseminate already during the in situstage. However, TN disseminated tumor cells (DTCs) proliferate at the same rate as cells at the primary site and give rise to macro-metastases. ER+ DTCs have low proliferative indices, form only micro-metastases and lose epithelial characteristics. Expression of CDH1 is decreased whereas the mesenchymal marker VIM and the transcription factors, ZEB1/ZEB2, which control epithelial-mesenchymal plasticity (EMP) are increased. EMP is not detected earlier during ER+ BC development and not required for invasion or metastasis. In vivo, forced transition to the epithelial state through ectopic E-cadherin expression overcomes dormancy with increased growth of lung metastases. We conclude that EMP is essential for the generation of a dormant cell state and the development of latent disease. Targeting exit from EMP is of therapeutic potential.

2 citations

References
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Journal ArticleDOI
TL;DR: The ability to prospectively identify tumorigenic cancer cells will facilitate the elucidation of pathways that regulate their growth and survival and strategies designed to target this population may lead to more effective therapies.
Abstract: Breast cancer is the most common malignancy in United States women, accounting for >40,000 deaths each year. These breast tumors are comprised of phenotypically diverse populations of breast cancer cells. Using a model in which human breast cancer cells were grown in immunocompromised mice, we found that only a minority of breast cancer cells had the ability to form new tumors. We were able to distinguish the tumorigenic (tumor initiating) from the nontumorigenic cancer cells based on cell surface marker expression. We prospectively identified and isolated the tumorigenic cells as CD44+CD24−/lowLineage− in eight of nine patients. As few as 100 cells with this phenotype were able to form tumors in mice, whereas tens of thousands of cells with alternate phenotypes failed to form tumors. The tumorigenic subpopulation could be serially passaged: each time cells within this population generated new tumors containing additional CD44+CD24−/lowLineage− tumorigenic cells as well as the phenotypically diverse mixed populations of nontumorigenic cells present in the initial tumor. The ability to prospectively identify tumorigenic cancer cells will facilitate the elucidation of pathways that regulate their growth and survival. Furthermore, because these cells drive tumor development, strategies designed to target this population may lead to more effective therapies.

10,058 citations

Journal ArticleDOI
Giovanni Ciriello1, Giovanni Ciriello2, Michael L. Gatza3, Michael L. Gatza4, Andrew H. Beck5, Matthew D. Wilkerson4, Suhn K. Rhie6, Alessandro Pastore2, Hailei Zhang7, Michael D. McLellan8, Christina Yau9, Cyriac Kandoth2, Reanne Bowlby10, Hui Shen11, Sikander Hayat2, Robert J. Fieldhouse2, Susan C. Lester5, Gary M. Tse12, Rachel E. Factor13, Laura C. Collins5, Kimberly H. Allison14, Yunn Yi Chen15, Kristin C. Jensen14, Kristin C. Jensen16, Nicole B. Johnson5, Steffi Oesterreich17, Gordon B. Mills18, Andrew D. Cherniack7, Gordon Robertson10, Christopher C. Benz9, Chris Sander2, Peter W. Laird11, Katherine A. Hoadley4, Tari A. King2, Rehan Akbani, J. Todd Auman4, Miruna Balasundaram, Saianand Balu, Thomas Barr, Stephen C. Benz, Mario Berrios, Rameen Beroukhim, Tom Bodenheimer, Lori Boice, Moiz S. Bootwalla, Jay Bowen, Denise Brooks, Lynda Chin, Juok Cho, Sudha Chudamani, Tanja M. Davidsen, John A. Demchok, Jennifer B. Dennison, Li Ding, Ina Felau, Martin L. Ferguson, Scott Frazer, Stacey Gabriel, Jianjiong Gao, Julie M. Gastier-Foster, Nils Gehlenborg, Mark Gerken, Gad Getz, William J. Gibson, D. Neil Hayes, David I. Heiman, Andrea Holbrook, Robert A. Holt, Alan P. Hoyle, Hai Hu, Mei Huang, Carolyn M. Hutter, E. Shelley Hwang, Stuart R. Jefferys, Steven J.M. Jones, Zhenlin Ju, Jaegil Kim, Phillip H. Lai, Michael S. Lawrence, Kristen M. Leraas, Tara M. Lichtenberg, Pei Lin, Shiyun Ling, Jia Liu, Wen-Bin Liu, Laxmi Lolla, Yiling Lu, Yussanne Ma, Dennis T. Maglinte, Elaine R. Mardis, Jeffrey R. Marks, Marco A. Marra, Cynthia McAllister, Shaowu Meng, Matthew Meyerson, Richard A. Moore, Lisle E. Mose, Andrew J. Mungall, Bradley A. Murray, Rashi Naresh, Michael S. Noble, Olufunmilayo I. Olopade, Joel S. Parker, Todd Pihl, Gordon Saksena, Steven E. Schumacher, Kenna R. Mills Shaw, Nilsa C. Ramirez, W. Kimryn Rathmell, Jeffrey Roach, A. Gordon Robertson19, Jacqueline E. Schein, Nikolaus Schultz, Margi Sheth, Yan Shi, Juliann Shih, Carl Simon Shelley, Craig D. Shriver, Janae V. Simons, Heidi J. Sofia, Matthew G. Soloway, Carrie Sougnez, Charlie Sun, Roy Tarnuzzer, Daniel Guimarães Tiezzi, David Van Den Berg, Doug Voet, Yunhu Wan, Zhining Wang, John N. Weinstein, Daniel J. Weisenberger, Rick K. Wilson, Lisa Wise, Maciej Wiznerowicz, Junyuan Wu, Ye Wu, Liming Yang, Travis I. Zack, Jean C. Zenklusen, Jiashan Zhang, Erik Zmuda, Charles M. Perou4 
08 Oct 2015-Cell
TL;DR: This multidimensional molecular atlas sheds new light on the genetic bases of ILC and provides potential clinical options, suggesting differential modulation of ER activity in I LC and IDC.

1,414 citations

Journal ArticleDOI
TL;DR: Findings indicate that human breast cancer progression and aggression, collagen linearization and stromal stiffening are linked and implicate tissue inflammation and TGF beta.
Abstract: Tumors are stiff and data suggest that the extracellular matrix stiffening that correlates with experimental mammary malignancy drives tumor invasion and metastasis. Nevertheless, the relationship between tissue and extracellular matrix stiffness and human breast cancer progression and aggression remains unclear. We undertook a biophysical and biochemical assessment of stromal–epithelial interactions in noninvasive, invasive and normal adjacent human breast tissue and in breast cancers of increasingly aggressive subtype. Our analysis revealed that human breast cancer transformation is accompanied by an incremental increase in collagen deposition and a progressive linearization and thickening of interstitial collagen. The linearization of collagen was visualized as an overall increase in tissue birefringence and was most striking at the invasive front of the tumor where the stiffness of the stroma and cellular mechanosignaling were the highest. Amongst breast cancer subtypes we found that the stroma at the invasive region of the more aggressive Basal-like and Her2 tumor subtypes was the most heterogeneous and the stiffest when compared to the less aggressive luminal A and B subtypes. Intriguingly, we quantified the greatest number of infiltrating macrophages and the highest level of TGF beta signaling within the cells at the invasive front. We also established that stroma stiffness and the level of cellular TGF beta signaling positively correlated with each other and with the number of infiltrating tumor-activated macrophages, which was highest in the more aggressive tumor subtypes. These findings indicate that human breast cancer progression and aggression, collagen linearization and stromal stiffening are linked and implicate tissue inflammation and TGF beta.

734 citations

Journal ArticleDOI
TL;DR: The intraductal HIM transplantation model provides an invaluable tool that mimics human breast heterogeneity at the noninvasive stages and allows the study of the distinct molecular and cellular mechanisms of breast cancer progression.
Abstract: Human models of noninvasive breast tumors are limited, and the existing in vivo models do not mimic inter- and intratumoral heterogeneity. Ductal carcinoma in situ (DCIS) is the most common type (80%) of noninvasive breast lesions. The aim of this study was to develop an in vivo model whereby the natural progression of human DCIS might be reproduced and studied. To accomplish this goal, the intraductal human-in-mouse (HIM) transplantation model was developed. The resulting models, which mimicked some of the diversity of human noninvasive breast cancers in vivo, were used to show whether subtypes of human DCIS might contain distinct subpopulations of tumor-initiating cells. The intraductal models were established by injection of human DCIS cell lines (MCF10DCIS.COM and SUM-225), as well as cells derived from a primary human DCIS (FSK-H7), directly into the primary mouse mammary ducts via cleaved nipple. Six to eight weeks after injections, whole-mount, hematoxylin and eosin, and immunofluorescence staining were performed to evaluate the type and extent of growth of the DCIS-like lesions. To identify tumor-initiating cells, putative human breast stem/progenitor subpopulations were sorted from MCF10DCIS.COM and SUM-225 with flow cytometry, and their in vivo growth fractions were compared with the Fisher's Exact test. Human DCIS cells initially grew within the mammary ducts, followed by progression to invasion in some cases into the stroma. The lesions were histologically almost identical to those of clinical human DCIS. This method was successful for growing DCIS cell lines (MCF10DCIS.COM and SUM-225) as well as a primary human DCIS (FSK-H7). MCF10DCIS.COM represented a basal-like DCIS model, whereas SUM-225 and FSK-H7 cells were models for HER-2+ DCIS. With this approach, we showed that various subtypes of human DCIS appeared to contain distinct subpopulations of tumor-initiating cells. The intraductal HIM transplantation model provides an invaluable tool that mimics human breast heterogeneity at the noninvasive stages and allows the study of the distinct molecular and cellular mechanisms of breast cancer progression.

204 citations

Journal ArticleDOI
TL;DR: It is shown that the traditional grafting of ER⁺ tumor cells into mammary fat pads induces TGFβ/SLUG signaling and basal differentiation when they require low SLUG levels to grow in vivo.

158 citations